# llm_cache

draft_name: _ask_
prompt_hash: 3a3420452581ba93
model: claude-haiku-4-5-20251001
created_at: 2026-03-08T09:25:25.490266+00:00
request_json:
  You are an expert on IETF Internet-Drafts related to AI agents and autonomous systems.

  Based on the following IETF drafts, answer this question:

  **test**

  ## Source Drafts


  ---
  **draft-cui-nmrg-auto-test** — Framework and Automation Levels for AI-Assisted Network Protocol Testing
  Abstract: This document presents an AI-assisted framework for automating the
     testing of network protocol implementations.  The proposed framework
     consists of components such as protocol formalization, test case
     generation, test script and configuration generation, and iterative
     refinement through feedback mechanisms.  In addition, the document
     defines a set of Automation Maturity Levels for network protocol
     testing, ranging from fully manual procedures (Level 0) to fully
     autonomous an
  Content excerpt: 



  Network Management Research Group                                 Y. Cui
  Internet-Draft                                                    Y. Wei
  Intended status: Informational                                    K. Chi
  Expires: 26 August 2026                                           X. Xie
                                                       Tsinghua University
                                                          22 February 2026


  Framework and Automation Levels for AI-Assisted Network 

  ---
  **draft-gaikwad-llm-benchmarking-methodology** — Benchmarking Methodology for Large Language Model Serving
  Abstract: This document defines benchmarking methodologies for Large Language
     Model (LLM) inference serving systems.  It provides test procedures,
     setup parameters, measurement specifications, and reporting formats
     for evaluating latency, throughput, scheduling, and resource
     management characteristics.  This document is a companion to
     "Benchmarking Terminology for Large Language Model Serving" and
     SHOULD be consulted alongside that terminology document.
  Content excerpt: 



  Network Working Group                                         M. Gaikwad
  Internet-Draft                                    Independent Researcher
  Intended status: Informational                              January 2026
  Expires: 24 July 2026


         Benchmarking Methodology for Large Language Model Serving
               draft-gaikwad-llm-benchmarking-methodology-00

  Abstract

     This document defines benchmarking methodologies for Large Language
     Model (LLM) inference serving systems.  It p

  ---
  **draft-jurkovikj-collab-tunnel** — The Collaboration Tunnel Protocol (TCT)
  Abstract: This document specifies the Collaboration Tunnel Protocol, an HTTP-
     based method for efficient, verifiable delivery of web content to
     automated agents.  The protocol uses bidirectional URL discovery,
     template-invariant content fingerprinting with strong ETags, sitemap-
     first verification, and strict conditional request discipline to
     reduce bandwidth while preserving canonical URLs.
  Content excerpt: 



  Network Working Group                                       A. Jurkovikj
  Internet-Draft                                          14 November 2025
  Intended status: Experimental                                           
  Expires: 18 May 2026


                  The Collaboration Tunnel Protocol (TCT)
                      draft-jurkovikj-collab-tunnel-01

  Abstract

     This document specifies the Collaboration Tunnel Protocol, an HTTP-
     based method for efficient, verifiable delivery of web conte

  ---
  **draft-ietf-lake-ra** — Remote attestation over EDHOC
  Abstract: This document specifies how to perform remote attestation as part of
     the lightweight authenticated Diffie-Hellman key exchange protocol
     EDHOC (Ephemeral Diffie-Hellman Over COSE), based on the Remote
     ATtestation procedureS (RATS) architecture.
  Content excerpt: 



  Lightweight Authenticated Key Exchange                           Y. Song
  Internet-Draft                                                     Inria
  Intended status: Standards Track                             G. Selander
  Expires: 23 April 2026                                       Ericsson AB
                                                           20 October 2025


                       Remote attestation over EDHOC
                           draft-ietf-lake-ra-03

  Abstract

     This document spe

  ---
  **draft-calabria-bmwg-ai-fabric-inference-bench** — Benchmarking Methodology for AI Inference Serving Network Fabrics
  Abstract: This document defines benchmarking terminology, methodologies, and
     Key Performance Indicators (KPIs) for evaluating Ethernet-based AI
     inference serving network fabrics.  As Large Language Model (LLM)
     inference deployments scale to disaggregated prefill/decode
     architectures spanning hundreds or thousands of accelerators (GPUs/
     XPUs), the interconnect fabric becomes the critical bottleneck
     determining Time to First Token (TTFT), Inter-Token Latency (ITL),
     and aggregate through
  Content excerpt: 



  Benchmarking Methodology Working Group                       F. Calabria
  Internet-Draft                                                     Cisco
  Intended status: Informational                              C. Pignataro
  Expires: 28 August 2026                             Blue Fern Consulting
                                                                     Q. Wu
                                                               G. Fioccola
                                                            


  Instructions:
  - Answer concisely but thoroughly (3-8 sentences).
  - Cite specific drafts by name (e.g. draft-xyz-...) when referencing their contributions.
  - If the drafts don't contain enough information to answer, say so clearly.
  - Focus on concrete technical mechanisms, not general observations.

response_json:
  # Answer

  The provided IETF drafts do not contain sufficient information to answer the question "test," as this appears to be a placeholder rather than a substantive query.

  However, if you're interested in how these drafts relate to AI agents and autonomous systems, the collection addresses several complementary domains:

  - **draft-cui-nmrg-auto-test** defines automation maturity levels (0-N) for AI-assisted network protocol testing, establishing a framework for autonomous test case generation and iterative refinement.
  - **draft-gaikwad-llm-benchmarking-methodology** and **draft-calabria-bmwg-ai-fabric-inference-bench** provide measurement methodologies for evaluating LLM inference systems, which are foundational infrastructure for AI agents.
  - **draft-jurkovikj-collab-tunnel** specifies HTTP-based content delivery mechanisms optimized for automated agents, including efficient verification and conditional requests.
  - **draft-ietf-lake-ra** addresses security concerns for autonomous systems through remote attestation over EDHOC, enabling trustworthy agent-to-device interactions.

  Please clarify your specific question for a more targeted response.


draft_name: draft-ai-agent-behavior-verification-protocol
prompt_hash: 50752a6bf5b5b2d6
model: claude-sonnet-4-20250514
created_at: 2026-03-08T09:56:12.684049+00:00
request_json:
  Rate this generated document. JSON only.

  draft-ai-agent-behavior-verification-protocol | Agent Behavior Verification Protocol (ABVP) | 20260308 | 15pg
  Abstract: Autonomous AI agents operate with increasing independence across network environments, making it critical to verify that their actual behavior matches expected policies and constraints. Existing approaches focus primarily on identity verification or single-point attestation, leaving gaps in continuous behavior monitoring and cross-protocol verification. This document defines the Agent Behavior Verification Protocol (ABVP), which provides standardized mechanisms for capturing, validating, and attesting to agent behavior patterns in real-time. ABVP enables continuous trustworthiness assessment through cryptographic behavior proofs, supports multi-vendor attestation environments, and integrates with existing authorization frameworks. The protocol addresses the fundamental challenge of moving from 'who is this agent?' to 'is this agent behaving as expected?' across diverse operational contexts. ABVP complements existing agent authentication and authorization protocols by providing the missing behavior verification layer essential for autonomous agent deployment at scale.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {
    "s": "ABVP defines a protocol for continuously verifying that autonomous AI agents behave according to expected policies through cryptographic behavior proofs and real-time monitoring. The protocol addresses the gap between agent authentication and ongoing behavioral compliance verification across multi-vendor environments.",
    "n": 4,
    "nn": "Notable originality in focusing on continuous behavior verification rather than just identity/authentication, with cryptographic behavior proofs being a genuinely useful contribution to agent trustworthiness",
    "m": 3,
    "mn": "Clearly defined protocol concept with specific mechanisms described, though lacks detailed implementation specifications and concrete examples of behavior proof structures",
    "o": 2,
    "on": "While related to agent authentication work, the behavioral verification focus is relatively unique with only minor conceptual overlap with existing identity-focused protocols",
    "mo": 3,
    "mon": "Represents active development of an important protocol area, though community adoption and working group interest remains to be demonstrated",
    "r": 5,
    "rn": "Core AI agent topic addressing fundamental trustworthiness challenges for autonomous agent deployment at scale",
    "c": ["Agent identity/auth", "AI safety/alignment", "Policy/governance"]
  }


draft_name: draft-ai-agent-learning-protocol
prompt_hash: dd11ced09d16b11c
model: claude-sonnet-4-20250514
created_at: 2026-03-08T09:56:20.548354+00:00
request_json:
  Rate this generated document. JSON only.

  draft-ai-agent-learning-protocol | Privacy-Preserving Agent Learning Protocol for Federated Multi-Tenant Environments | 20260308 | 17pg
  Abstract: Federated learning enables distributed AI agents to collaboratively improve models without centralizing training data. However, existing federated architectures lack comprehensive privacy guarantees for multi-tenant environments where agents from different organizations must learn together while preventing data leakage. This specification defines the Privacy-Preserving Agent Learning Protocol (PPALP) that combines differential privacy, secure aggregation, and zero-knowledge proofs to enable federated agent learning with formal privacy guarantees. PPALP provides mechanisms for privacy-preserving model updates, tenant isolation enforcement, and cryptographic verification of privacy compliance. The protocol supports heterogeneous agent types while maintaining backward compatibility with existing federated learning frameworks. This work addresses critical privacy gaps in federated agent architectures and provides implementable solutions for secure cross-organizational AI collaboration.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {"s":"This specification defines PPALP, a protocol combining differential privacy, secure aggregation, and zero-knowledge proofs to enable federated AI agent learning across organizations while maintaining strict privacy guarantees. The protocol addresses critical privacy gaps in multi-tenant federated learning environments where agents from different organizations must collaborate without data leakage.","n":4,"nn":"Notable combination of multiple privacy-preserving techniques (differential privacy, secure aggregation, ZKP) specifically designed for multi-tenant federated agent learning - addresses a real gap in existing federated learning privacy guarantees","m":3,"mn":"Defines a complete protocol with clear mechanisms but appears to be at specification level rather than implementation-ready - lacks detailed examples or test vectors that would indicate full maturity","o":2,"on":"While federated learning is well-established, the specific combination of privacy techniques for multi-tenant agent environments and the focus on cross-organizational AI collaboration represents a distinct approach","mo":2,"mn":"Single revision document with no indication of working group adoption or broader community engagement beyond the specification itself","r":5,"rn":"Directly addresses core AI agent concerns around privacy-preserving collaborative learning, multi-tenant isolation, and secure cross-organizational AI cooperation - highly relevant to agent architectures","c":["AI safety/alignment","A2A protocols","Policy/governance"]}


draft_name: draft-ai-agent-provenance-assurance-ecosystem
prompt_hash: 8eac6cef07dc1ee3
model: claude-sonnet-4-20250514
created_at: 2026-03-08T09:56:25.927403+00:00
request_json:
  Rate this generated document. JSON only.

  draft-ai-agent-provenance-assurance-ecosystem | Agent Provenance Assurance Ecosystem (APAE) Framework | 20260308 | 22pg
  Abstract: The proliferation of AI agents across distributed systems creates critical challenges for establishing verifiable chains of identity, capabilities, and operational history. This document defines the Agent Provenance Assurance Ecosystem (APAE) Framework, a comprehensive system for tracking, verifying, and assuring the provenance of AI agents throughout their lifecycle. The framework establishes a multi-layered architecture encompassing agent identity attestation, capability verification, operational audit trails, and cross-domain provenance tracking. APAE integrates with existing identity management systems, authorization protocols, and communication frameworks to provide end-to-end provenance assurance without disrupting current agent ecosystems. The framework supports both lightweight deployments for development environments and high-assurance configurations for regulated industries, enabling the same agent infrastructure to operate across varying trust requirements while maintaining verifiable provenance chains.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {"s":"This document defines the Agent Provenance Assurance Ecosystem (APAE) Framework for tracking and verifying AI agent identity, capabilities, and operational history across distributed systems. The framework provides multi-layered architecture for end-to-end provenance assurance that integrates with existing systems while supporting both lightweight and high-assurance deployments.","n":4,"nn":"Notable originality in addressing comprehensive agent provenance across lifecycle with multi-layered verification approach","m":3,"mn":"Defined protocol framework with clear architecture but lacks detailed implementation specifications","o":2,"on":"Minor conceptual overlap with identity management systems but unique focus on AI agent provenance chains","mo":2,"mon":"Single revision with future date suggests early stage development","r":5,"rn":"Core AI agent topic addressing critical infrastructure need for agent verification and trust","c":["Agent identity/auth","Policy/governance","A2A protocols"]}


draft_name: draft-ai-agent-rollback-protocol
prompt_hash: 7f5fb578325cae1a
model: claude-sonnet-4-20250514
created_at: 2026-03-08T09:56:31.504797+00:00
request_json:
  Rate this generated document. JSON only.

  draft-ai-agent-rollback-protocol | Real-Time Agent Rollback Protocol (RARP) for Autonomous Network Operations | 20260308 | 16pg
  Abstract: Autonomous agents in network operations environments require the ability to quickly and safely rollback actions when incorrect decisions are made. While existing protocols enable agent communication and coordination, no standardized mechanism exists for distributed rollback operations across heterogeneous agent systems. This document specifies the Real-Time Agent Rollback Protocol (RARP), which provides coordinated rollback mechanisms for autonomous network agents. RARP defines checkpoint creation, rollback initiation procedures, state consistency verification, and cross-domain rollback coordination through agent gateways. The protocol integrates with existing agent communication frameworks and supports both immediate rollback for safety-critical scenarios and delayed rollback for complex distributed operations. RARP enables production deployment of autonomous network operations by providing the safety mechanisms necessary for agent decision reversal across distributed systems.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {"s":"This draft specifies RARP, a protocol for coordinated rollback operations across distributed autonomous network agents. It defines checkpoint creation, rollback initiation, state consistency verification, and cross-domain coordination mechanisms for reversing agent decisions in network operations environments.","n":4,"nn":"addresses a critical gap in autonomous agent safety with a novel distributed rollback coordination approach","m":3,"mn":"defines core protocol mechanisms and procedures but lacks detailed implementation specifications","o":2,"on":"shares general autonomous agent concepts but rollback coordination approach appears unique","mo":2,"mon":"single draft revision with no evidence of working group adoption or community engagement","r":5,"rn":"directly addresses core autonomous agent safety and coordination challenges in network operations","c":["Autonomous netops","AI safety/alignment","A2A protocols"]}


draft_name: draft-ai-agent-task-a
prompt_hash: f807ba97fdde9311
model: claude-sonnet-4-20250514
created_at: 2026-03-08T09:56:37.447619+00:00
request_json:
  Rate this generated document. JSON only.

  draft-ai-agent-task-a | Agent Task DAG: A Framework for Directed Acyclic Graph Execution in Multi-Agent Systems | 20260308 | 16pg
  Abstract: As AI agent systems become increasingly complex, there is a growing need for structured approaches to orchestrate multi-step tasks across multiple autonomous agents. This document defines the Agent Task DAG (Directed Acyclic Graph) framework, which provides a standardized approach for representing, executing, and managing complex workflows in multi-agent environments. The framework addresses key challenges including task decomposition, dependency management, parallel execution, failure recovery, and human oversight integration. By building upon existing agent authorization profiles and task negotiation protocols, this specification enables agents to coordinate complex workflows while maintaining security, auditability, and the ability to incorporate human-in-the-loop decision points. The framework supports both fast execution in trusted environments and rigorous verification in regulated contexts through configurable assurance profiles.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {"s":"This document defines a framework for orchestrating complex multi-step workflows across multiple AI agents using directed acyclic graphs. It addresses task decomposition, dependency management, parallel execution, and failure recovery while supporting both fast execution and rigorous verification modes.","n":3,"nn":"Useful contribution applying established DAG concepts to multi-agent coordination, addressing practical orchestration challenges","m":3,"mn":"Defines framework structure and key components but lacks detailed protocol specifications and implementation examples","o":2,"on":"Minor conceptual overlap with existing workflow and orchestration systems, but specific multi-agent focus is distinct","mo":1,"mon":"Single draft with no evidence of working group activity or community development","r":5,"rn":"Directly addresses core multi-agent system coordination challenges with practical workflow orchestration focus","c":["A2A protocols","Human-agent interaction","Policy/governance"]}


draft_name: draft-ai-primitives-for
prompt_hash: 7667f9211c2bc221
model: claude-sonnet-4-20250514
created_at: 2026-03-08T09:56:44.408741+00:00
request_json:
  Rate this generated document. JSON only.

  draft-ai-primitives-for | Human-in-the-Loop (HITL) Primitives for AI Agent Systems | 20260308 | 15pg
  Abstract: As AI agents become increasingly autonomous in network operations and other critical domains, the need for standardized human oversight mechanisms becomes paramount. This document defines a framework of Human-in-the-Loop (HITL) primitives that enable structured human intervention, approval, and oversight in AI agent decision-making processes. The framework provides three core primitives: approval workflows that require explicit human consent before action execution, override mechanisms that allow humans to modify or halt agent decisions, and explainability interfaces that provide transparency into agent reasoning. These primitives are designed to be protocol-agnostic and can be integrated with existing agent architectures to ensure human control over autonomous systems. The specification addresses the critical gap between fully autonomous AI operation and human accountability requirements, particularly in regulated environments where human oversight is mandatory. By standardizing these HITL mechanisms, organizations can deploy AI agents with appropriate human safeguards while maintaining operational efficiency and regulatory compliance.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {
    "s": "This document defines standardized Human-in-the-Loop (HITL) primitives for AI agent systems, providing three core mechanisms: approval workflows, override capabilities, and explainability interfaces. The framework aims to enable structured human oversight and control over autonomous AI agents while maintaining operational efficiency.",
    "n": 3,
    "nn": "Useful contribution addressing the important gap between AI autonomy and human accountability, though the concept of human-in-the-loop systems is well-established",
    "m": 3,
    "mn": "Defines specific primitives and framework structure but lacks detailed implementation specifics and examples that would make it implementation-ready",
    "o": 2,
    "on": "While human oversight of AI is a common theme, this specific focus on standardized HITL primitives for agent systems has minimal overlap with existing work",
    "mo": 3,
    "mon": "Active development indicated by recent date, addressing a current need as AI agents become more autonomous, though no clear community adoption signals",
    "r": 5,
    "rn": "Directly addresses core AI agent concerns around human control, oversight, and accountability in autonomous systems",
    "c": ["Human-agent interaction", "AI safety/alignment", "Policy/governance"]
  }


draft_name: draft-gap
prompt_hash: e043bbcbe08ffe59
model: claude-sonnet-4-20250514
created_at: 2026-03-08T09:56:50.143188+00:00
request_json:
  Rate this generated document. JSON only.

  draft-gap | Multi-Agent Consensus Protocol (MACP) for Distributed AI Agent Coordination | 20260308 | 14pg
  Abstract: This document defines the Multi-Agent Consensus Protocol (MACP), a standardized framework for enabling multiple AI agents to reach consensus on shared decisions and resolve conflicting objectives in distributed environments. MACP addresses critical coordination challenges in autonomous systems where agents must collaborate on resource allocation, policy enforcement, and decision-making across organizational and domain boundaries. The protocol incorporates Byzantine fault tolerance mechanisms, cryptographic verification, and hierarchical consensus structures to ensure reliable agreement even in the presence of malicious or malfunctioning agents. MACP defines message formats, consensus algorithms, conflict resolution procedures, and integration patterns with existing agent-to-agent communication protocols. The protocol supports various consensus models including proof-of- authority, weighted voting, and reputation-based systems, enabling deployment across diverse use cases from IoT device coordination to enterprise AI system orchestration. This specification aims to reduce fragmentation in multi-agent systems and provide a foundation for interoperable autonomous agent coordination at scale.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {
    "s": "This document defines the Multi-Agent Consensus Protocol (MACP) for enabling distributed AI agents to reach consensus on shared decisions and resolve conflicts. The protocol incorporates Byzantine fault tolerance, cryptographic verification, and hierarchical consensus structures with support for various consensus models.",
    "n": 4,
    "nn": "Notable originality in combining Byzantine fault tolerance with agent-specific consensus mechanisms and reputation-based systems for AI agent coordination",
    "m": 3,
    "mn": "Defined protocol with clear mechanisms and message formats, though lacks detailed implementation examples or test vectors",
    "o": 2,
    "on": "Minor similarities to general distributed consensus work but unique focus on multi-agent AI coordination challenges",
    "mo": 2,
    "mon": "Single revision with no clear indication of working group interest or community development",
    "r": 5,
    "rn": "Core AI agent topic addressing fundamental distributed coordination challenges in autonomous systems",
    "c": ["A2A protocols", "AI safety/alignment", "Agent identity/auth", "Policy/governance"]
  }


draft_name: draft-scrm-aiproto-usecases
prompt_hash: 954b4e67f82c5480
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:06.707407+00:00
response_json:
  {"name": "draft-scrm-aiproto-usecases", "s": "Inventories representative use cases for Agentic AI systems that rely on LLMs for multi-step tasks, identifying protocol requirements for interoperability and security. Aims to help IETF determine standardization scope and perform gap analysis for agent-to-agent protocols.", "n": 4, "nn": "Novel application of IETF protocol analysis to emerging agentic AI domain", "m": 3, "mn": "Well-structured use case analysis but early stage for concrete protocol work", "o": 2, "on": "Some overlap with agent collaboration concepts but unique IETF focus", "mo": 4, "mon": "Strong potential given IETF interest in AI protocol standardization", "r": 5, "rn": "Highly relevant foundational work for AI agent protocol standardization", "c": ["A2A protocols", "Data formats/interop", "Agent discovery/reg", "Policy/governance"]}


draft_name: draft-song-dmsc-problem-statement
prompt_hash: 04cd854b223b2ef9
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:06.732950+00:00
response_json:
  {"name": "draft-song-dmsc-problem-statement", "s": "Identifies problems with current LLM-based AI agent systems requiring individual communication capabilities, proposing centralized gateway infrastructure. Defines requirements for Dynamic Multi-agent Secured Collaboration to offload security and coordination tasks.", "n": 3, "nn": "Centralized gateway approach offers practical solution to agent fragmentation", "m": 2, "mn": "Problem statement stage with requirements but no concrete protocol details", "o": 3, "on": "Moderate overlap with multi-agent coordination and security gateway concepts", "mo": 3, "mon": "Addresses real deployment challenges but needs broader community support", "r": 4, "rn": "Very relevant to practical multi-agent system deployment challenges", "c": ["A2A protocols", "Agent identity/auth", "Policy/governance", "Autonomous netops"]}


draft_name: draft-li-trustworthy-routing-discovery
prompt_hash: 4d95091d40907c59
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:06.747092+00:00
response_json:
  {"name": "draft-li-trustworthy-routing-discovery", "s": "Proposes network architecture for trustworthy routing using BGP/BGPsec to carry trust information. Addresses end-user requirements for data transmission only through trusted devices.", "n": 3, "nn": "Extends existing BGP framework with trust-based routing decisions", "m": 3, "mn": "Concrete protocol extensions but limited implementation details", "o": 4, "on": "Significant overlap with existing secure routing and BGP security work", "mo": 2, "mon": "Limited evidence of broader community interest or adoption", "r": 2, "rn": "Tangentially related to AI/agent networking but primarily traditional routing", "c": ["Policy/governance", "Autonomous netops"]}


draft_name: draft-latour-pre-registration
prompt_hash: a3ccaaa352228166
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:06.757084+00:00
response_json:
  {"name": "draft-latour-pre-registration", "s": "Extends EPP for domain pre-registration with AI/ML-based quality verification by registries. Assigns quality scores to identify potentially abusive domain registrations proactively.", "n": 4, "nn": "Novel integration of AI/ML scoring into domain registration workflow", "m": 4, "mn": "Detailed protocol extensions with XML schemas and security considerations", "o": 1, "on": "Unique application of AI to domain registration abuse prevention", "mo": 3, "mon": "Addresses practical registry needs but narrow domain focus", "r": 3, "rn": "Relevant as AI application to internet infrastructure but specialized use case", "c": ["ML traffic mgmt", "AI safety/alignment", "Data formats/interop", "Policy/governance"]}


draft_name: draft-ietf-drip-auth
prompt_hash: d1b9d55583014efd
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:06.767589+00:00
response_json:
  {"name": "draft-ietf-drip-auth", "s": "Defines DRIP message formats for drone Remote ID authentication, enabling real-time trustworthiness assessment of UAS. Specifies broadcast authentication protocols for verifying drone identity claims.", "n": 3, "nn": "Specialized authentication framework for autonomous drone systems", "m": 5, "mn": "Mature IETF working group draft with comprehensive protocol specification", "o": 1, "on": "Unique focus on drone/UAS authentication with minimal overlap", "mo": 4, "mon": "Active IETF working group with regulatory and industry support", "r": 2, "rn": "Limited relevance to general AI/agent protocols, specific to drone domain", "c": ["Agent identity/auth", "Data formats/interop", "Policy/governance"]}


draft_name: draft-ietf-rats-corim
prompt_hash: 948fb3f3bc397e79
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:22.047967+00:00
response_json:
  {"name": "draft-ietf-rats-corim", "s": "Defines CBOR format for representing endorsements and reference values used in remote attestation. Enables verifiers to assess trustworthiness of remote attesters using standardized information elements.", "n": 3, "nn": "Builds on existing RATS architecture but provides novel CBOR format for endorsements", "m": 4, "mn": "Well-developed 127-page specification with detailed format definitions", "o": 2, "on": "Some overlap with general attestation work but specific to CBOR format", "mo": 4, "mon": "IETF working group draft with clear progression path", "r": 4, "rn": "High relevance for agent identity and authentication in distributed systems", "c": ["Agent identity/auth", "Data formats/interop"]}


draft_name: draft-wu-savnet-inter-domain-architecture
prompt_hash: 5c1977f8b8e15b8e
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:22.069622+00:00
response_json:
  {"name": "draft-wu-savnet-inter-domain-architecture", "s": "Proposes inter-domain architecture for source address validation between autonomous systems. Enables ASes to share SAV-specific information to generate more accurate validation rules.", "n": 3, "nn": "Novel approach to inter-domain SAV with specialized information sharing", "m": 3, "mn": "Solid architectural framework but focuses on design rather than implementation", "o": 3, "on": "Related to existing SAV work but extends to inter-domain coordination", "mo": 3, "mon": "Active development with recent updates but unclear adoption path", "r": 2, "rn": "Limited direct AI/agent relevance, more focused on network security", "c": ["Policy/governance", "Autonomous netops"]}


draft_name: draft-lin-opsec-trustroute-problem-statement
prompt_hash: 9444f2fca6012cb9
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:22.079240+00:00
response_json:
  {"name": "draft-lin-opsec-trustroute-problem-statement", "s": "Identifies requirements for differentiated security services in networks. Explores trustworthiness-based routing as solution for enhanced security guarantees beyond traditional QoE.", "n": 2, "nn": "Problem statement builds on existing concepts with limited novel contribution", "m": 1, "mn": "Very early stage problem statement with minimal technical detail", "o": 4, "on": "Significant overlap with existing trustworthiness and routing security work", "mo": 2, "mon": "Limited activity and unclear development trajectory", "r": 3, "rn": "Moderate relevance for trustworthy autonomous systems and policy", "c": ["Policy/governance", "Autonomous netops"]}


draft_name: draft-wiethuechter-drip-det-moc
prompt_hash: 5a1b919127f9d20c
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:15:22.088097+00:00
response_json:
  {"name": "draft-wiethuechter-drip-det-moc", "s": "Standardizes DRIP Entity Tags as identifiers for drone systems in air domain awareness. Enables privacy, authentication, and encryption for unmanned aircraft identification and traffic management.", "n": 4, "nn": "Novel application of DRIP tags to comprehensive air domain awareness", "m": 3, "mn": "Well-structured specification with clear use cases and technical details", "o": 2, "on": "Builds on DRIP work but extends to new domain with minimal overlap", "mo": 3, "mon": "Steady progress with domain-specific focus but niche application area", "r": 4, "rn": "High relevance for autonomous agent identity and discovery in aviation", "c": ["Agent identity/auth", "Agent discovery/reg", "Autonomous netops"]}


draft_name: draft-bondar-wca
prompt_hash: 6d73c4b8a6c0e217
model: claude-sonnet-4-20250514
created_at: 2026-03-08T13:16:47.268592+00:00
request_json:
  Rate this IETF draft. JSON only.

  draft-bondar-wca | Warrant Certificate Authorities (WCA): Auditable Data Provenance for AI-Agent Tool-Call Chains | 2026-03-01 | 24pg
  Abstract: Large Language Model (LLM)-based agent systems increasingly invoke
     external tools and data sources, yet the epistemic provenance of
     consumed data remains architecturally unregulated.  Data crossing
     tool-call boundaries acquires the apparent trustworthiness of the
     interface rather than reflecting the institutional standing of its
     actual source -- a phenomenon termed "semantic laundering."

     This document specifies the Warrant Certificate Authority (WCA): an
     end-to-end cryptographic attestation infrastructure that certifies
     data sources, not data content.  WCA introduces a provenance layer
     satisfying reference monitor properties (complete mediation,
     tamperproofness, verifiability) for all agent-to-tool interactions.
     The architecture draws on the PKI trust model, OS provenance
     paradigms (IMA, CamFlow, LPM), and supply-chain security frameworks
     (SLSA, in-toto).

     This document defines data structures for tool-call attestation,
     warrant certificates, and a trust hierarchy of certificate
     authorities.  It specifies the provenance-layer protocol and
     introduces Warrant Attestation Levels (WAL-0 through WAL-3) as a
     graduated adoption framework analogous to SLSA build levels.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {
    "s": "Proposes Warrant Certificate Authorities (WCA) to provide cryptographic attestation of data source provenance in AI agent tool-call chains, addressing 'semantic laundering' where data acquires unwarranted trustworthiness from interfaces. Defines a PKI-based infrastructure with graduated Warrant Attestation Levels (WAL-0 through WAL-3) for verifiable data provenance tracking.",
    "n": 4,
    "nn": "Notable originality in applying PKI trust models to AI agent data provenance, with novel concept of 'semantic laundering' and creative adaptation of supply-chain security frameworks to agent architectures",
    "m": 4,
    "mn": "Detailed specification with defined data structures, protocol specifications, and graduated adoption framework - appears implementation-ready though lacks concrete test vectors",
    "o": 2,
    "on": "Minor conceptual similarities to general PKI and supply-chain security work, but unique application domain and novel adaptation to AI agent contexts",
    "mo": 2,
    "mn": "Single draft from 2026 with no clear working group adoption or community discussion visible",
    "r": 5,
    "rn": "Core AI agent topic directly addressing fundamental trust and provenance issues in LLM-based agent systems with external tool interactions",
    "c": ["Agent identity/auth", "AI safety/alignment", "Policy/governance", "Data formats/interop"]
  }


draft_name: draft-zzn-dvs
prompt_hash: 24b3b5d1d9d5c1dc
model: claude-sonnet-4-20250514
created_at: 2026-03-08T13:17:02.161283+00:00
request_json:
  Rate this IETF draft. JSON only.

  draft-zzn-dvs | Domain-Verified Skills (DVS) Protocol | 2026-03-02 | 12pg
  Abstract: This document defines the Domain-Verified Skills (DVS) protocol, a
     lightweight mechanism for AI Agents to discover, verify, and execute
     skill definitions served over HTTPS.  A skill is a directory
     containing a SKILL.md entry point and optional bundled resources that
     instructs an AI Agent to perform a specific task or adopt a specific
     behavior.

     The central design principle of DVS is that a skill's identity and
     trustworthiness are derived entirely from the HTTPS URL at which it
     is served -- no centralized registry or third-party certification is
     required.  The operator of the URL's origin is the authoritative
     endorser of the skill.

     This trust is formalized through the concept of a Trust Root: an
     HTTPS URL prefix declared by the skill publisher that scopes the
     trust boundary for their skills.  A skill is considered verified if
     and only if its URL begins with the declared Trust Root.  For brands
     with first-party domains, the Trust Root is the domain origin.  For
     brands publishing on user-generated content platforms where the
     platform operator does not vouch for individual publishers, the Trust
     Root MUST be path-scoped to content the brand controls, ensuring that
     trust does not extend to the entire platform.

     The protocol leverages the existing trust infrastructure of the
     Domain Name System (DNS) and Transport Layer Security (TLS) and is
     backward compatible with skills already served over HTTPS, including
     those hosted on GitHub or other platforms.

  Return JSON: {"s":"2-3 sentence summary","n":<1-5>,"nn":"novelty note","m":<1-5>,"mn":"maturity note","o":<1-5>,"on":"overlap note","mo":<1-5>,"mon":"momentum note","r":<1-5>,"rn":"relevance note","c":["categories"]}

  Rating scale (use the FULL range 1-5, avoid clustering at 3-4):
  - Novelty: 1=trivial/obvious extension, 2=incremental, 3=useful contribution, 4=notable originality, 5=genuinely novel approach
  - Maturity: 1=problem statement only, 2=early sketch, 3=defined protocol/mechanism, 4=detailed spec with examples, 5=implementation-ready with test vectors
  - Overlap: 1=unique approach, 2=minor similarities, 3=shares concepts with 1-2 drafts, 4=significant overlap, 5=near-duplicate of existing work
  - Momentum: 1=inactive/abandoned, 2=single revision, 3=active development, 4=WG interest/adoption, 5=strong community momentum
  - Relevance: 1=not about AI/agents (false positive), 2=tangentially related, 3=partially relevant, 4=directly relevant, 5=core AI agent topic

  Categories: A2A protocols, AI safety/alignment, ML traffic mgmt, Autonomous netops, Agent identity/auth, Data formats/interop, Policy/governance, Model serving/inference, Agent discovery/reg, Human-agent interaction, Other AI/agent
  JSON only, no fences.

response_json:
  {"s":"DVS defines a protocol for AI agents to discover and execute skills served over HTTPS, using domain-based trust without centralized registries. Trust is established through declared Trust Root URL prefixes, leveraging existing DNS/TLS infrastructure.","n":3,"nn":"Useful contribution applying web trust models to AI agent skill verification, though builds on established domain verification concepts","m":3,"mn":"Defines core protocol mechanisms and trust model but lacks detailed implementation specifics and examples","o":2,"on":"Some conceptual similarity to existing web-of-trust and capability discovery systems but novel application to AI agent skills","mo":2,"mon":"Single draft revision with March 2026 date, no clear working group adoption or community activity visible","r":5,"rn":"Directly addresses core AI agent functionality for skill discovery, verification, and execution - highly relevant to agent ecosystems","c":["Agent discovery/reg","Agent identity/auth","A2A protocols"]}


draft_name: draft-smith-rats-evidence-trans
prompt_hash: d5b26f61b31ff7d3
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:17:52.394804+00:00
response_json:
  {"name": "draft-smith-rats-evidence-trans", "s": "Specifies methods for transforming different evidence formats (DiceTcbInfo, concise evidence, SPDM measurements) to CoRIM internal representation for unified appraisal. Enables verifiers to handle diverse evidence structures in remote attestation.", "n": 3, "nn": "Incremental improvement addressing practical interoperability challenges in RATS evidence processing", "m": 4, "mn": "Well-defined with concrete transformation methods and clear scope", "o": 2, "on": "Complements existing RATS work without significant overlap", "mo": 3, "mon": "Moderate interest as it addresses real implementation needs in RATS ecosystem", "r": 4, "rn": "Highly relevant for RATS adoption by solving evidence format fragmentation", "c": ["Data formats/interop", "Agent identity/auth"]}


draft_name: draft-deshpande-rats-multi-verifier
prompt_hash: 6df08822530771bc
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:17:52.421390+00:00
response_json:
  {"name": "draft-deshpande-rats-multi-verifier", "s": "Defines architectural patterns for coordinating multiple verifiers to assess attester trustworthiness in complex systems. Focuses on topological patterns while remaining neutral to specific implementations.", "n": 4, "nn": "Addresses important architectural gap in RATS for complex multi-verifier scenarios", "m": 3, "mn": "Architecture-focused with reasonable scope but may need more concrete guidance", "o": 2, "on": "Extends RATS architecture without duplicating existing work", "mo": 3, "mon": "Growing interest as RATS deployments become more complex", "r": 4, "rn": "Very relevant for enterprise and complex system deployments of RATS", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: draft-fv-rats-ear
prompt_hash: 249a71ef74feb617
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:17:52.432481+00:00
response_json:
  {"name": "draft-fv-rats-ear", "s": "Defines EAT Attestation Result (EAR) message format for verifiers to encode appraisal results with trustworthiness vectors. Supports both simple and composite devices with CWT/JWT serialization.", "n": 4, "nn": "Significant contribution providing standardized attestation result format with trustworthiness vectors", "m": 4, "mn": "Comprehensive specification with clear message format and serialization options", "o": 3, "on": "Some overlap with general attestation result concepts but specific implementation is novel", "mo": 4, "mon": "High momentum as it addresses critical need for standardized attestation results", "r": 5, "rn": "Extremely relevant as core component for RATS interoperability and policy decisions", "c": ["Data formats/interop", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-howard-rats-coserv
prompt_hash: f37a387acaba15a2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:17:52.442264+00:00
response_json:
  {"name": "draft-howard-rats-coserv", "s": "Specifies Concise Selector for Endorsements and Reference Values (CoSERV) providing structured query/result format for discovery and retrieval of RATS artifacts. Uses CDDL/CBOR for efficient serialization.", "n": 4, "nn": "Novel approach to standardizing discovery and retrieval of RATS endorsements and reference values", "m": 4, "mn": "Detailed specification with query language and structured format definitions", "o": 2, "on": "Addresses specific RATS discovery needs not covered by existing drafts", "mo": 3, "mon": "Moderate momentum addressing infrastructure needs for RATS deployment", "r": 4, "rn": "High relevance for RATS scalability and operational deployment", "c": ["Data formats/interop", "Agent discovery/reg", "Agent identity/auth"]}


draft_name: draft-ietf-rats-ar4si
prompt_hash: d2837a94644d0bba
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:17:52.452390+00:00
response_json:
  {"name": "draft-ietf-rats-ar4si", "s": "Defines reusable attestation result information elements for evaluating attester trustworthiness and enabling consistent policies across heterogeneous environments. Provides CBOR and JSON serializations.", "n": 3, "nn": "Incremental advancement in standardizing attestation result information elements", "m": 4, "mn": "Mature specification with dual serialization formats and comprehensive information model", "o": 4, "on": "Significant overlap with attestation result concepts, though focuses on reusable elements", "mo": 4, "mon": "Strong momentum as IETF working group item addressing core RATS needs", "r": 5, "rn": "Extremely relevant for RATS standardization and cross-platform interoperability", "c": ["Data formats/interop", "Agent identity/auth", "Policy/governance"]}


draft_name: draft-ietf-rats-coserv
prompt_hash: 64b38e7aa4513c0f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:11.009497+00:00
response_json:
  {"name": "draft-ietf-rats-coserv", "s": "Defines CoSERV, a structured query/result format for discovering and retrieving endorsements and reference values in remote attestation. Uses CDDL specification with CBOR serialization for efficient interoperability.", "n": 4, "nn": "Novel structured query language specifically for attestation artifacts discovery", "m": 4, "mn": "Well-specified with CDDL/CBOR, part of established RATS working group", "o": 2, "on": "Complements existing RATS architecture documents without heavy overlap", "mo": 4, "mon": "Active IETF working group with clear attestation use cases", "r": 3, "rn": "Important for secure remote attestation but niche application domain", "c": ["Data formats/interop", "Agent identity/auth"]}


draft_name: draft-wiethuechter-drip-det-tada
prompt_hash: c73e213df190a750
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:11.031481+00:00
response_json:
  {"name": "draft-wiethuechter-drip-det-tada", "s": "Standardizes DRIP Entity Tags usage for trustworthy air domain awareness in drone systems. Enables privacy, authentication, and encryption for unmanned aircraft identification and traffic management.", "n": 3, "nn": "Applies existing DRIP concepts to air domain awareness with some novel integration", "m": 3, "mn": "Builds on established DRIP protocol but needs broader validation", "o": 3, "on": "Related to existing DRIP and aviation standards", "mo": 3, "mon": "Growing drone/AAM market but specialized community", "r": 3, "rn": "Relevant for emerging drone ecosystem but limited broader applicability", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: draft-ietf-rats-evidence-trans
prompt_hash: 2d2cb9021920b423
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:11.046419+00:00
response_json:
  {"name": "draft-ietf-rats-evidence-trans", "s": "Specifies methods for transforming various evidence formats in remote attestation to CoRIM internal representation. Addresses interoperability challenges for verifiers processing different evidence structures.", "n": 3, "nn": "Practical solution for evidence format interoperability in attestation", "m": 4, "mn": "Clear technical approach with specific format transformations defined", "o": 2, "on": "Complements RATS architecture without duplicating existing work", "mo": 4, "mon": "Part of active RATS working group with industry need", "r": 3, "rn": "Critical for attestation interoperability but specialized domain", "c": ["Data formats/interop", "Agent identity/auth"]}


draft_name: draft-loffredo-regext-rdap-verified-contacts
prompt_hash: cdecdbe2f3aeb78a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:11.056716+00:00
response_json:
  {"name": "draft-loffredo-regext-rdap-verified-contacts", "s": "Extends RDAP to include verification status for contact information like email and phone numbers. Aims to improve data quality and trustworthiness in domain registration data responses.", "n": 2, "nn": "Straightforward extension to existing RDAP protocol", "m": 3, "mn": "Clear extension design but needs broader implementation testing", "o": 2, "on": "Extends RDAP without conflicting with existing specifications", "mo": 3, "mon": "Domain registration community interest but limited scope", "r": 2, "rn": "Useful for domain data quality but narrow application area", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: draft-ietf-dnsop-ns-revalidation
prompt_hash: 02a622cd02675ad8
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:11.066639+00:00
response_json:
  {"name": "draft-ietf-dnsop-ns-revalidation", "s": "Describes algorithm for DNS resolvers to revalidate NS record sets during iterative resolution. Improves trustworthiness by preferring child zone authoritative data over parent referrals.", "n": 3, "nn": "Enhances existing DNS resolution with improved delegation validation", "m": 4, "mn": "Well-defined algorithm with clear implementation guidance", "o": 2, "on": "Enhances DNS without conflicting with existing resolver behavior", "mo": 4, "mon": "DNS operations community with broad implementation potential", "r": 4, "rn": "High relevance for internet infrastructure security and reliability", "c": ["Autonomous netops", "Data formats/interop"]}


draft_name: draft-johani-dnsop-transport-signaling
prompt_hash: 1baee2443b164a3a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:31.079835+00:00
response_json:
  {"name": "draft-johani-dnsop-transport-signaling", "s": "Proposes mechanism for authoritative DNS servers to signal support for alternative transport protocols like DoT, DoH, and DoQ. Enables opportunistic and validated modes for secure transport discovery.", "n": 3, "nn": "Builds on existing DNS-over-X protocols but adds novel signaling mechanism", "m": 3, "mn": "Well-developed concept with multiple operational modes defined", "o": 2, "on": "Some overlap with existing DNS transport upgrade mechanisms", "mo": 3, "mon": "DNS security and privacy improvements have steady industry interest", "r": 2, "rn": "DNS infrastructure improvement but not directly AI/agent focused", "c": ["Other AI/agent"]}


draft_name: draft-ietf-rats-ear
prompt_hash: 357376591bbbe79f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:31.101669+00:00
response_json:
  {"name": "draft-ietf-rats-ear", "s": "Defines EAT Attestation Result message format for verifiers to encode appraisal results of attester evidence. Includes trustworthiness vectors and contextual information for relying parties.", "n": 4, "nn": "Novel standardized format for attestation results with trustworthiness vectors", "m": 4, "mn": "Comprehensive specification with support for various device types and extensions", "o": 2, "on": "Related to broader RATS architecture but distinct message format", "mo": 4, "mon": "Strong IETF working group backing and clear industry need", "r": 4, "rn": "Highly relevant for agent identity/authentication in zero-trust environments", "c": ["Agent identity/auth", "Data formats/interop"]}


draft_name: draft-ounsworth-lamps-x509-ar
prompt_hash: a62ca2a15cfe1c38
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:31.112658+00:00
response_json:
  {"name": "draft-ounsworth-lamps-x509-ar", "s": "Defines X.509 certificate extensions to include attestation results for CSR attestation use cases. Enables CAs to embed attestation results into certificates for relying party evaluation.", "n": 4, "nn": "Novel integration of attestation results into X.509 certificate infrastructure", "m": 3, "mn": "Focused specification but builds on established X.509 framework", "o": 3, "on": "Complements RATS/EAR work and existing X.509 extensions", "mo": 3, "mon": "PKI integration important but more niche than core attestation formats", "r": 4, "rn": "Critical for agent identity verification in PKI-based systems", "c": ["Agent identity/auth", "Data formats/interop"]}


draft_name: draft-ietf-v6ops-nd-considerations
prompt_hash: cbe9e862d051f7b5
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:31.123498+00:00
response_json:
  {"name": "draft-ietf-v6ops-nd-considerations", "s": "Summarizes IPv6 Neighbor Discovery protocol issues and mitigation solutions documented across 20+ RFCs. Identifies three root causes and recommends host isolation approaches.", "n": 2, "nn": "Consolidates existing knowledge rather than introducing new concepts", "m": 4, "mn": "Comprehensive analysis of well-documented operational issues", "o": 2, "on": "Synthesizes existing RFCs but doesn't heavily overlap with current drafts", "mo": 3, "mon": "IPv6 operational guidance has steady but specialized interest", "r": 2, "rn": "Network infrastructure foundation but not directly AI/agent specific", "c": ["Other AI/agent"]}


draft_name: draft-li-zt-consideration
prompt_hash: fe29bb2b8bf6b18e
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:31.134517+00:00
response_json:
  {"name": "draft-li-zt-consideration", "s": "Examines limitations of perimeter-centric network security and argues for Zero Trust principles in network infrastructure. Addresses internal threat scenarios and lateral movement risks.", "n": 2, "nn": "Applies well-established Zero Trust concepts to network infrastructure", "m": 2, "mn": "High-level consideration document rather than detailed technical specification", "o": 3, "on": "Zero Trust networking concepts overlap with existing security frameworks", "mo": 4, "mon": "Zero Trust has very high industry momentum and adoption", "r": 3, "rn": "Foundational for secure agent-to-agent communications and autonomous networks", "c": ["A2A protocols", "Policy/governance", "Autonomous netops"]}


draft_name: draft-li-sidrops-drr-architecture
prompt_hash: 4889eb1d75a23577
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:50.537798+00:00
response_json:
  {"name": "draft-li-sidrops-drr-architecture", "s": "Proposes a decentralized RPKI repository architecture that separates signing authority from object management through distributed certificate servers and monitors. Maintains compatibility with existing RIR trust anchors while addressing single points of failure.", "n": 4, "nn": "Novel decentralization of RPKI repositories while preserving existing trust model", "m": 3, "mn": "Well-structured architecture but lacks implementation details and deployment considerations", "o": 2, "on": "Builds on established RPKI concepts but proposes fundamentally different repository architecture", "mo": 3, "mon": "Addresses real RPKI scalability issues but requires significant ecosystem coordination", "r": 4, "rn": "High relevance for BGP security and routing infrastructure resilience", "c": ["Other AI/agent"]}


draft_name: draft-kamimura-rats-behavioral-evidence
prompt_hash: 84ee95e098c63f21
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:50.558759+00:00
response_json:
  {"name": "draft-kamimura-rats-behavioral-evidence", "s": "Informational document exploring conceptual relationships between remote attestation and behavioral evidence recording. Discusses how these complementary approaches address different verification questions without proposing new mechanisms.", "n": 2, "nn": "Conceptual analysis rather than novel technical contribution", "m": 4, "mn": "Well-reasoned informational document with clear scope limitations", "o": 1, "on": "Unique perspective on attestation vs behavioral evidence relationship", "mo": 2, "mon": "Limited momentum as purely informational without actionable outcomes", "r": 3, "rn": "Relevant for understanding attestation frameworks but no immediate practical impact", "c": ["Agent identity/auth"]}


draft_name: draft-ietf-savnet-inter-domain-architecture
prompt_hash: 191ec42c07a5e43f
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:50.568194+00:00
response_json:
  {"name": "draft-ietf-savnet-inter-domain-architecture", "s": "Comprehensive inter-domain Source Address Validation architecture enabling ASes to share SAV-specific information for generating accurate validation rules. Supports incremental deployment with fallback to general information.", "n": 4, "nn": "Significant advancement in inter-domain source address validation methodology", "m": 4, "mn": "Mature 41-page architectural framework with detailed component relationships", "o": 2, "on": "Builds on existing SAV concepts but proposes comprehensive new architecture", "mo": 4, "mon": "Strong momentum as IETF working group item addressing critical routing security needs", "r": 5, "rn": "Extremely relevant for network security and routing attack mitigation", "c": ["Other AI/agent"]}


draft_name: draft-ffm-rats-cca-token
prompt_hash: 2c9dffa60f128d96
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:50.577122+00:00
response_json:
  {"name": "draft-ffm-rats-cca-token", "s": "Specifies Arm's Confidential Compute Architecture attestation token structure as an Entity Attestation Token profile. Details claims, serialization, and cryptographic protection for CCA-compliant systems.", "n": 3, "nn": "Industry-specific EAT profile rather than fundamental innovation", "m": 5, "mn": "Highly detailed 62-page specification with complete token structure definition", "o": 3, "on": "Overlaps with general EAT specifications but provides vendor-specific profile", "mo": 3, "mon": "Moderate momentum as independent submission for specific hardware architecture", "r": 3, "rn": "Relevant for Arm-based confidential computing but limited broader applicability", "c": ["Agent identity/auth"]}


draft_name: w3c-authentform
prompt_hash: e21864e6d84bf06b
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:18:50.585373+00:00
response_json:
  {"name": "w3c-authentform", "s": "1999 W3C note proposing HTML capability for authenticated web user interfaces. Extremely brief abstract provides minimal technical detail.", "n": 1, "nn": "Historical document from 1999 with likely outdated approach", "m": 1, "mn": "Insufficient information and potentially obsolete given 25-year age", "o": 5, "on": "Web authentication is heavily covered by modern standards", "mo": 1, "mon": "No momentum - historical document from 1999", "r": 1, "rn": "Not relevant to current technology landscape", "c": ["Human-agent interaction"]}


draft_name: w3c-cuap
prompt_hash: c0ee01be0325770d
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:08.354058+00:00
response_json:
  {"name": "w3c-cuap", "s": "Document explaining common implementation mistakes in user agents and suggesting remedies. Focuses on good behavior practices where specifications don't specify particular behaviors.", "n": 2, "nn": "Common troubleshooting approach but specific to user agent implementation gaps", "m": 4, "mn": "Mature document addressing well-established implementation patterns and errors", "o": 3, "on": "Overlaps with UAAG documents on user agent behavior but focuses on implementation issues", "mo": 2, "mon": "2003 document likely has limited current momentum", "r": 2, "rn": "Limited relevance to AI agents, more focused on traditional web user agents", "c": ["Other AI/agent"]}


draft_name: w3c-UAAG10
prompt_hash: b7d03c9291d3f81a
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:08.375068+00:00
response_json:
  {"name": "w3c-UAAG10", "s": "Guidelines for designing accessible user agents that lower barriers for people with disabilities. Covers user interface accessibility and communication with assistive technologies.", "n": 3, "nn": "Systematic approach to accessibility in user agents, foundational work", "m": 5, "mn": "Well-established guidelines that became W3C standard", "o": 4, "on": "Core document that other UAAG documents build upon", "mo": 3, "mon": "Superseded by UAAG 2.0 but still foundational", "r": 3, "rn": "Accessibility principles relevant to human-agent interaction design", "c": ["Human-agent interaction", "Policy/governance"]}


draft_name: w3c-UAAG10-TECHS
prompt_hash: 1ed16b451febab42
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:08.383949+00:00
response_json:
  {"name": "w3c-UAAG10-TECHS", "s": "Technical implementation guide for UAAG 1.0 checkpoints. Provides specific techniques for accessibility in user interfaces, APIs, HTML, CSS, and SMIL.", "n": 2, "nn": "Implementation companion to established guidelines", "m": 4, "mn": "Detailed technical guidance supporting mature standard", "o": 5, "on": "Direct technical companion to UAAG 1.0", "mo": 2, "mon": "Technical details may be dated given 2002 publication", "r": 2, "rn": "Technical implementation details less relevant to modern AI agent design", "c": ["Human-agent interaction", "Data formats/interop"]}


draft_name: w3c-UAAG20-requirements
prompt_hash: 78656233a1d99c29
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:08.392685+00:00
response_json:
  {"name": "w3c-UAAG20-requirements", "s": "Requirements document for developing UAAG 2.0 based on feedback from UAAG 1.0 usage. Defines goals for the updated accessibility guidelines.", "n": 2, "nn": "Requirements gathering for evolution of existing standard", "m": 3, "mn": "Intermediate working draft in standards development process", "o": 4, "on": "Bridge document between UAAG 1.0 and 2.0", "mo": 2, "mon": "2007 working draft superseded by final UAAG 2.0", "r": 2, "rn": "Requirements analysis approach relevant but specific to web accessibility", "c": ["Policy/governance", "Human-agent interaction"]}


draft_name: w3c-UAAG20
prompt_hash: 789e10d3e26c57c2
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:08.401069+00:00
response_json:
  {"name": "w3c-UAAG20", "s": "Updated accessibility guidelines for user agents, building on UAAG 1.0 experience. Part of W3C WAI series addressing barriers for people with disabilities.", "n": 3, "nn": "Evolution of established accessibility framework with updated approaches", "m": 5, "mn": "Latest version of mature W3C accessibility standard", "o": 4, "on": "Updated version of UAAG 1.0 with significant conceptual overlap", "mo": 4, "mon": "Current standard with ongoing relevance in accessibility community", "r": 4, "rn": "Modern accessibility principles highly relevant for AI agent interface design", "c": ["Human-agent interaction", "Policy/governance"]}


draft_name: w3c-wai-aria-implementation
prompt_hash: 9795836415573d54
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:24.430197+00:00
response_json:
  {"name": "w3c-wai-aria-implementation", "s": "Specifies how user agents should implement WAI-ARIA accessibility features, including keyboard navigation and exposure to accessibility APIs. Provides technical guidance for browser developers to support assistive technologies.", "n": 2, "nn": "Standard accessibility implementation guidance, not novel concepts", "m": 5, "mn": "Published W3C specification with clear implementation requirements", "o": 3, "on": "Overlaps with general accessibility standards and browser implementation guides", "mo": 4, "mon": "Part of established W3C accessibility framework with ongoing adoption", "r": 4, "rn": "Highly relevant for human-agent interaction accessibility, though focused on traditional web browsing", "c": ["Human-agent interaction", "Data formats/interop"]}


draft_name: w3c-UAAG20-Reference
prompt_hash: f31b64889d482c47
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:24.450936+00:00
response_json:
  {"name": "w3c-UAAG20-Reference", "s": "Comprehensive reference guide explaining User Agent Accessibility Guidelines 2.0 with implementation examples and best practices. Helps developers understand accessibility requirements for user agents.", "n": 2, "nn": "Reference documentation for existing guidelines, not introducing new concepts", "m": 5, "mn": "Complete reference document with detailed examples and explanations", "o": 4, "on": "Significant overlap with accessibility standards and implementation guides", "mo": 3, "mon": "Stable reference material with steady but not rapid adoption", "r": 4, "rn": "Important for accessibility in human-agent interactions, particularly for assistive technologies", "c": ["Human-agent interaction", "Policy/governance"]}


draft_name: w3c-agent-attributes
prompt_hash: 6a7f751814b9d687
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:24.459390+00:00
response_json:
  {"name": "w3c-agent-attributes", "s": "Proposes a framework for client-specific web services using user agent attributes like screen size, input methods, and device capabilities. Describes HTTP User-Agent header implementation for various devices.", "n": 3, "nn": "Early framework for device-aware services, somewhat novel for its time but now common", "m": 3, "mn": "Basic framework description with implementation example, moderate detail", "o": 3, "on": "Some overlap with content negotiation and responsive design approaches", "mo": 2, "mon": "Historical document from 1997, limited current momentum", "r": 3, "rn": "Moderately relevant for agent discovery and capability negotiation in modern systems", "c": ["Agent discovery/reg", "Data formats/interop"]}


draft_name: w3c-imagemap
prompt_hash: 01c1c9c0ae373650
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T13:19:24.468494+00:00
response_json:
  {"name": "w3c-imagemap", "s": "Addresses handling of image maps in text-only browsers and assistive technologies. Provides guidance for accessibility when images cannot be displayed or processed.", "n": 1, "nn": "Addresses a specific technical compatibility issue, not novel approach", "m": 3, "mn": "Focused memo with clear problem description and recommendations", "o": 2, "on": "Limited overlap, addresses specific technical issue", "mo": 1, "mon": "Historical document from 1996, largely superseded by modern web standards", "r": 2, "rn": "Limited relevance to modern AI agents, mainly historical web accessibility interest", "c": ["Human-agent interaction", "Data formats/interop"]}


draft_name: draft-bondar-wca
prompt_hash: f5e5a638ea0f9188
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-bondar-wca]
created_at: 2026-03-08T14:25:17.442220+00:00
response_json:
  [{"title": "Warrant Certificate Authority (WCA)", "description": "Cryptographic attestation infrastructure that certifies data sources in LLM agent tool-call chains to prevent semantic laundering via a provenance layer enforcing reference monitor properties.", "type": "architecture"}]


draft_name: draft-deshpande-rats-multi-verifier
prompt_hash: e14c1d99c7a9dd22
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-deshpande-rats-multi-verifier]
created_at: 2026-03-08T14:25:17.462700+00:00
response_json:
  [{"title": "Multi-Verifier Coordination Topologies", "description": "Architectural patterns for coordinating multiple verifiers to collectively assess trustworthiness of attesters in complex systems.", "type": "pattern"}]


draft_name: draft-ffm-rats-cca-token
prompt_hash: b60726c206949fcd
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ffm-rats-cca-token]
created_at: 2026-03-08T14:25:17.469511+00:00
response_json:
  [{"title": "Arm CCA Attestation Token Profile", "description": "Specification of attestation token structure and claims for Arm Confidential Compute Architecture systems as a profile of the Entity Attestation Token.", "type": "protocol"}]


draft_name: draft-fv-rats-ear
prompt_hash: 25fa25ff320c64dd
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-fv-rats-ear]
created_at: 2026-03-08T14:25:17.475468+00:00
response_json:
  [{"title": "EAT Attestation Result (EAR) Message Format", "description": "Message format for verifiers to encode attestation appraisal results with normalized trustworthiness vectors and contextual appraisal information for policy evaluation.", "type": "protocol"}]


draft_name: draft-howard-rats-coserv
prompt_hash: dcba443a16c0d166
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-howard-rats-coserv]
created_at: 2026-03-08T14:25:17.481552+00:00
response_json:
  [{"title": "Concise Selector for Endorsements and Reference Values (CoSERV)", "description": "Structured query/result format using CDDL and CBOR for discovering and retrieving endorsements and reference values from multiple providers in RATS systems.", "type": "protocol"}]


draft_name: draft-ietf-dnsop-ns-revalidation
prompt_hash: f5667e07829d8fad
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-dnsop-ns-revalidation]
created_at: 2026-03-08T14:25:21.399899+00:00
response_json:
  [{"title": "Authoritative NS Revalidation at Zone Apex", "description": "Resolvers should explicitly query and prefer the authoritative NS RRset at the child zone apex over the parent-side NS RRset when following referrals.", "type": "mechanism"}, {"title": "Periodic Revalidation of Cached Nameserver Data", "description": "Resolvers should periodically re-query and update cached NS RRsets and their associated address records to maintain freshness.", "type": "mechanism"}]


draft_name: draft-ietf-drip-auth
prompt_hash: 6315b91e99bef501
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-drip-auth]
created_at: 2026-03-08T14:25:21.416451+00:00
response_json:
  [{"title": "DRIP Entity Tag Authentication Protocol", "description": "A protocol using DRIP Entity Tags to cryptographically verify that broadcast Remote ID messages were signed by the registered owner of the claimed tag.", "type": "protocol"}]


draft_name: draft-ietf-rats-ar4si
prompt_hash: 61bb6a9c8bd8c912
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-rats-ar4si]
created_at: 2026-03-08T14:25:21.422624+00:00
response_json:
  [{"title": "Reusable Attestation Result Information Model", "description": "A standardized set of attestation result information elements that enable consistent evaluation of attester trustworthiness across heterogeneous verifier environments.", "type": "architecture"}, {"title": "CBOR and JSON Serialization for Attestation Results", "description": "Dual serialization formats for attestation result information using CBOR and JSON to support diverse system requirements.", "type": "extension"}]


draft_name: draft-ietf-rats-corim
prompt_hash: a5bf4389d67ea00d
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-rats-corim]
created_at: 2026-03-08T14:25:21.428129+00:00
response_json:
  [{"title": "Concise Reference Integrity Manifest Format", "description": "A CBOR-based format for representing Endorsements and Reference Values that verifiers use to appraise evidence during remote attestation.", "type": "architecture"}]


draft_name: draft-ietf-rats-coserv
prompt_hash: a4f2dc0760adbdcc
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-rats-coserv]
created_at: 2026-03-08T14:25:21.433760+00:00
response_json:
  [{"title": "Concise Selector for Endorsements and Reference Values", "description": "A structured query and result format using CDDL and CBOR serialization to enable efficient discovery and retrieval of endorsements and reference values from multiple providers.", "type": "protocol"}]


draft_name: draft-ietf-rats-ear
prompt_hash: fd304f104982be85
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-rats-ear]
created_at: 2026-03-08T14:25:25.562109+00:00
response_json:
  [{"title": "EAT Attestation Result Message Format", "description": "Defines a standardized message format for verifiers to encode attestation appraisal results, embedding a trustworthiness vector and contextual information to enable relying parties to reconstruct the appraisal frame of reference.", "type": "architecture"}, {"title": "Composite Device Attestation Support", "description": "Extends attestation result encoding to handle composite devices with multiple attesters, allowing individual state representation for each attester component.", "type": "architecture"}]


draft_name: draft-ietf-rats-evidence-trans
prompt_hash: 8063de9925148ea7
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-rats-evidence-trans]
created_at: 2026-03-08T14:25:25.578980+00:00
response_json:
  [{"title": "Evidence Format Transformation to CoRIM", "description": "Specifies transformation methods to convert heterogeneous evidence structures (DiceTcbInfo, concise evidence, SPDM measurements) into a unified CoRIM internal representation while preserving semantics.", "type": "mechanism"}]


draft_name: draft-ietf-savnet-inter-domain-architecture
prompt_hash: 65094d1c5e962f69
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-savnet-inter-domain-architecture]
created_at: 2026-03-08T14:25:25.584860+00:00
response_json:
  [{"title": "Inter-domain SAVNET Architecture with SAV-specific Information Exchange", "description": "Proposes an AS-level source address validation architecture where ASes share SAV-specific information to generate accurate and timely SAV rules, with fallback to general information during partial deployment.", "type": "architecture"}]


draft_name: draft-ietf-v6ops-nd-considerations
prompt_hash: 88eef08de023b0e2
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-v6ops-nd-considerations]
created_at: 2026-03-08T14:25:25.591054+00:00
response_json:
  [{"title": "Consolidated ND Security and Operational Issues Framework", "description": "Synthesizes Neighbor Discovery issues from 20+ RFCs and categorizes them by three root causes to provide a unified reference for understanding and addressing ND security and operational problems.", "type": "pattern"}]


draft_name: draft-johani-dnsop-transport-signaling
prompt_hash: 999b5c112280ae9f
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-johani-dnsop-transport-signaling]
created_at: 2026-03-08T14:25:25.597544+00:00
response_json:
  [{"title": "Authoritative DNS Transport Protocol Signaling Mechanism", "description": "Defines a backward-compatible mechanism for authoritative DNS servers to signal support for alternative transport protocols (DoT, DoH, DoQ) via DNS response hints, enabling opportunistic resolver upgrades without protocol changes.", "type": "mechanism"}]


draft_name: draft-kamimura-rats-behavioral-evidence
prompt_hash: 6daa02891eee8047
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-kamimura-rats-behavioral-evidence]
created_at: 2026-03-08T14:25:29.343950+00:00
response_json:
  [{"title": "Conceptual Relationship Between Attestation and Behavioral Evidence", "description": "Establishes the complementary relationship between remote attestation (system state verification) and behavioral evidence recording (action verification) for accountability frameworks.", "type": "pattern"}]


draft_name: draft-latour-pre-registration
prompt_hash: 20c83108fe350082
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-latour-pre-registration]
created_at: 2026-03-08T14:25:29.361051+00:00
response_json:
  [{"title": "EPP Pre-Registration Extension with AI/ML Quality Scoring", "description": "Extends EPP protocol to allow registrars to submit domain pre-registration data that registries can analyze using AI/ML to assign abuse-risk quality scores before final registration.", "type": "extension"}]


draft_name: draft-li-sidrops-drr-architecture
prompt_hash: b3f9a87982218524
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-li-sidrops-drr-architecture]
created_at: 2026-03-08T14:25:29.367002+00:00
response_json:
  [{"title": "Decentralized RPKI Repository Architecture", "description": "Proposes a decentralized repository architecture that decouples RPKI signing authority from storage/distribution authority to address single-point failures and consistency issues in the current centralized system.", "type": "architecture"}]


draft_name: draft-li-trustworthy-routing-discovery
prompt_hash: 704d2d14eba32594
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-li-trustworthy-routing-discovery]
created_at: 2026-03-08T14:25:29.372918+00:00
response_json:
  [{"title": "Trustworthy Routing Information Distribution via BGP/BGPsec", "description": "Defines a network architecture and scheme for carrying trustworthy routing information through BGP and BGPsec protocols to enable data transmission only through trusted network devices.", "type": "protocol"}]


draft_name: draft-li-zt-consideration
prompt_hash: 5602775e0c289da7
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-li-zt-consideration]
created_at: 2026-03-08T14:25:29.378994+00:00
response_json:
  [{"title": "Zero Trust Principles Applied to Network Infrastructure", "description": "Argues for applying zero trust philosophy to network infrastructure to eliminate implicit trust in internal traffic and enforce continuous internal validation against lateral movement and entity impersonation.", "type": "pattern"}]


draft_name: draft-lin-opsec-trustroute-problem-statement
prompt_hash: 9cc378a2ad0c3f7c
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-lin-opsec-trustroute-problem-statement]
created_at: 2026-03-08T14:25:32.993881+00:00
response_json:
  [{"title": "Trustworthiness-based Routing", "description": "Route selection based on security trustworthiness attributes of network paths in addition to traditional QoS metrics to provide differentiated security services.", "type": "mechanism"}, {"title": "Differentiated Security Services", "description": "Framework for network operators to offer varying levels of security guarantees as part of service differentiation, similar to traditional SLA/QoE offerings.", "type": "requirement"}]


draft_name: draft-loffredo-regext-rdap-verified-contacts
prompt_hash: b95a4280bbd92603
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-loffredo-regext-rdap-verified-contacts]
created_at: 2026-03-08T14:25:33.010514+00:00
response_json:
  [{"title": "RDAP Verification Status Extension", "description": "RDAP extension that includes verification status metadata for contact information fields to improve data quality and trustworthiness of registry responses.", "type": "extension"}]


draft_name: draft-ounsworth-lamps-x509-ar
prompt_hash: 08057f211023b4a9
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ounsworth-lamps-x509-ar]
created_at: 2026-03-08T14:25:33.016497+00:00
response_json:
  [{"title": "X.509 Attestation Result Extensions", "description": "X.509 certificate extensions that embed attestation results and trustworthiness claims into certificates to enable consistent evaluation by relying parties.", "type": "extension"}]


draft_name: draft-scrm-aiproto-usecases
prompt_hash: 5aae97ee47cdda98
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-scrm-aiproto-usecases]
created_at: 2026-03-08T14:25:33.021779+00:00
response_json:
  [{"title": "Agentic AI Protocol Requirements", "description": "Identification of protocol-level requirements for agentic AI systems including delegation patterns, long-lived interactions, and security hooks across administrative domains.", "type": "requirement"}]


draft_name: draft-smith-rats-evidence-trans
prompt_hash: 2a58923690a0a471
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-smith-rats-evidence-trans]
created_at: 2026-03-08T14:25:33.027085+00:00
response_json:
  [{"title": "Evidence Format Transformation for RATS", "description": "Methods to convert heterogeneous attestation evidence formats (DiceTcbInfo, concise evidence, SPDM) into a normalized CoRIM representation for consistent verification.", "type": "mechanism"}]


draft_name: draft-song-dmsc-problem-statement
prompt_hash: 1cd9c9f260e06eac
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-song-dmsc-problem-statement]
created_at: 2026-03-08T14:25:36.551557+00:00
response_json:
  [{"title": "Centralized Gateway for Multi-Agent Communication", "description": "A gateway layer that offloads secured communication, service discovery, and encryption from individual agents to reduce code bloat and security risks.", "type": "architecture"}, {"title": "Multi-Tenant Policy Enforcement Infrastructure", "description": "A centralized system for enforcing consistent security policies across multi-tenant multi-agent deployments and managing cross-domain connectivity.", "type": "architecture"}]


draft_name: draft-wiethuechter-drip-det-moc
prompt_hash: 0ed63b3fbda5716e
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-wiethuechter-drip-det-moc]
created_at: 2026-03-08T14:25:36.568582+00:00
response_json:
  [{"title": "DRIP Entity Tags for Air Domain Awareness", "description": "Standardized identifiers (DETs) that serve dual purposes as session IDs for privacy and authentication/encryption key IDs for trustworthy identification in UAS traffic management.", "type": "protocol"}]


draft_name: draft-wu-savnet-inter-domain-architecture
prompt_hash: 9487fee1a227b8c6
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-wu-savnet-inter-domain-architecture]
created_at: 2026-03-08T14:25:36.581568+00:00
response_json:
  [{"title": "Inter-Domain Source Address Validation Architecture", "description": "An AS-level framework enabling autonomous systems to generate accurate SAV rules by sharing SAV-specific information with fallback to general information during partial deployment.", "type": "architecture"}]


draft_name: draft-zzn-dvs
prompt_hash: ad0a052b389bf655
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-zzn-dvs]
created_at: 2026-03-08T14:25:36.588066+00:00
response_json:
  [{"title": "Domain-Verified Skills Protocol", "description": "A lightweight protocol enabling AI agents to discover, verify, and execute skills from HTTPS URLs where trust is derived from the URL origin rather than centralized certification.", "type": "protocol"}]


draft_name: w3c-UAAG10
prompt_hash: c3fd5b6b789eef2c
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-UAAG10]
created_at: 2026-03-08T14:25:39.804137+00:00
response_json:
  [{"title": "User Agent Accessibility Guidelines", "description": "Comprehensive guidelines for designing user agents (browsers and rendering software) that lower accessibility barriers for people with disabilities through accessible UI design, content rendering, and assistive technology integration.", "type": "requirement"}]


draft_name: w3c-UAAG10-TECHS
prompt_hash: 7e7249c3b8204391
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-UAAG10-TECHS]
created_at: 2026-03-08T14:25:39.821076+00:00
response_json:
  [{"title": "UAAG 1.0 Implementation Techniques", "description": "Technical methods for satisfying UAAG 1.0 checkpoints across user interface accessibility, content rendering, APIs, HTML, CSS, and SMIL.", "type": "pattern"}]


draft_name: w3c-UAAG20
prompt_hash: 2e0a78288125dbf0
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-UAAG20]
created_at: 2026-03-08T14:25:39.827904+00:00
response_json:
  [{"title": "User Agent Accessibility Guidelines 2.0", "description": "Updated guidelines for designing accessible user agents that lower barriers for people with disabilities through improved UI accessibility and assistive technology interoperability.", "type": "requirement"}]


draft_name: w3c-UAAG20-requirements
prompt_hash: 52f1c65f5da59972
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-UAAG20-requirements]
created_at: 2026-03-08T14:25:39.837565+00:00
response_json:
  [{"title": "UAAG 2.0 Requirements Specification", "description": "Formal requirements document establishing goals and success criteria for UAAG 2.0 development based on UAAG 1.0 feedback.", "type": "requirement"}]


draft_name: w3c-agent-attributes
prompt_hash: c588ed4e974a87a0
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-agent-attributes]
created_at: 2026-03-08T14:25:42.497203+00:00
response_json:
  [{"title": "User Agent Attributes Framework", "description": "A framework for delivering client-specific web services by exposing device capabilities (screen size, input methods, storage, CPU type) through standardized user agent attributes in HTTP headers.", "type": "architecture"}]


draft_name: w3c-authentform
prompt_hash: 919b715b0694c6c0
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-authentform]
created_at: 2026-03-08T14:25:42.513517+00:00
response_json:
  [{"title": "HTML Authentication Form Capability", "description": "A new HTML mechanism to improve the development of authenticated web user interfaces by providing native browser support for authentication form handling.", "type": "extension"}]


draft_name: w3c-imagemap
prompt_hash: d8de280d96b93306
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-imagemap]
created_at: 2026-03-08T14:25:42.522543+00:00
response_json:
  [{"title": "Imagemap Fallback Handling", "description": "A protocol for user agents to appropriately handle imagemapped images in text-only, image-disabled, or non-visual browsing contexts by providing alternative access mechanisms.", "type": "protocol"}]


draft_name: w3c-wai-aria-implementation
prompt_hash: c3b8ac4785e34fef
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-wai-aria-implementation]
created_at: 2026-03-08T14:25:42.528955+00:00
response_json:
  [{"title": "WAI-ARIA User Agent Support Model", "description": "A specification for how user agents must implement keyboard navigation, interpret WAI-ARIA roles/states/properties, and expose accessibility semantics to platform accessibility APIs.", "type": "architecture"}]


draft_name: _classify_
prompt_hash: b45e1be27c4984b733f47a9d3267392ddf2eecd60e4c3c9b2773cfe75a7604e1
model: claude-haiku-4-5-20251001
response_json: yes
request_json:
  You are classifying IETF Internet-Drafts for an AI/agent standards tracker.

  A draft is RELEVANT if it relates to ANY of these topics:
  - AI agents, autonomous agents, multi-agent systems
  - Agent identity, authentication, authorization, discovery
  - Agent-to-agent (A2A) communication protocols
  - Large language models (LLMs), generative AI
  - Machine learning in network operations
  - AI safety, alignment, trustworthiness
  - Model Context Protocol (MCP), agentic workflows
  - OAuth/JWT/credentials for ag


draft_name: draft-annevk-johannhof-httpbis-cookies
prompt_hash: 981d49a18bcbbeff
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-annevk-johannhof-httpbis-cookies]
created_at: 2026-03-08T15:14:32.183358+00:00
response_json:
  [{"title": "HTTP Cookie State Management", "description": "Defines Cookie and Set-Cookie header fields for maintaining stateful sessions over HTTP.", "type": "mechanism"}]


draft_name: draft-bernardos-green-isac-uc
prompt_hash: 5ec58203e4b64574
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-bernardos-green-isac-uc]
created_at: 2026-03-08T15:14:32.204515+00:00
response_json:
  [{"title": "Integrated Sensing and Communications Use Case", "description": "Presents a use case for jointly designing sensing and communication functions to share spectral and hardware resources in wireless networks.", "type": "requirement"}]


draft_name: draft-gaikwad-llm-benchmarking-terminology
prompt_hash: 3b0b6b7487ac1961
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-gaikwad-llm-benchmarking-terminology]
created_at: 2026-03-08T15:14:32.211362+00:00
response_json:
  [{"title": "LLM Serving Performance Terminology", "description": "Establishes shared vocabulary for benchmarking LLM inference systems including latency, throughput, resource utilization, and quality metrics.", "type": "pattern"}]


draft_name: draft-han-rtgwg-agent-gateway-intercomm-framework
prompt_hash: f4cb42cf555ee408
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-han-rtgwg-agent-gateway-intercomm-framework]
created_at: 2026-03-08T15:14:32.221667+00:00
response_json:
  [{"title": "Agent Gateway Intercommunication Framework", "description": "Defines a hierarchical layered framework and protocol requirements for interconnecting Agent Gateways in distributed IoA ecosystems with cross-domain collaboration support.", "type": "architecture"}]


draft_name: draft-hong-nmrg-ai-deploy
prompt_hash: 16341610aab949c5
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-hong-nmrg-ai-deploy]
created_at: 2026-03-08T15:14:35.986396+00:00
response_json:
  [{"title": "Distributed AI Inference Architecture", "description": "Framework for deploying AI inference services across heterogeneous network environments combining cloud servers, edge devices, and resource-constrained hardware.", "type": "architecture"}, {"title": "Client-Edge-Cloud AI Service Model", "description": "System design pattern for handling AI service requests from clients connected to both cloud servers and edge devices with considerations for latency, resource constraints, and service placement.", "type": "pattern"}]


draft_name: draft-ietf-lamps-rfc7030-csrattrs
prompt_hash: 0f4842662092d982
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ietf-lamps-rfc7030-csrattrs]
created_at: 2026-03-08T15:14:36.003829+00:00
response_json:
  [{"title": "CSR Attributes Response Encoding Clarification", "description": "Clarification of how EST servers encode both CSR attribute OIDs and their values (including X.509 extensions) in CSR Attributes Responses to resolve implementation ambiguities in RFC7030 and RFC9148.", "type": "requirement"}]


draft_name: draft-li-dmsc-macp
prompt_hash: ef582af72d228498
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-li-dmsc-macp]
created_at: 2026-03-08T15:14:36.014094+00:00
response_json:
  [{"title": "Multi-agent Collaboration Protocol Suite", "description": "Protocol suite enabling scalable and secure semantic collaboration among distributed agents across heterogeneous networks using Agent Gateways for registration, authentication, and capability management.", "type": "protocol"}]


draft_name: draft-li-dmsc-mcps-agw
prompt_hash: a451af3c5c888070
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-li-dmsc-mcps-agw]
created_at: 2026-03-08T15:14:36.020759+00:00
response_json:
  [{"title": "Agent Gateway Control Plane Architecture", "description": "Control plane architecture using Agent Gateways to manage agent lifecycle functions (registration, authentication, capability management, semantic routing) while enabling direct peer-to-peer semantic interactions.", "type": "architecture"}]


draft_name: draft-liu-agent-context-protocol
prompt_hash: bf21b57555f27a71
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-liu-agent-context-protocol]
created_at: 2026-03-08T15:14:38.858327+00:00
response_json:
  [{"title": "Agent Context Protocol", "description": "A standardized message and protocol specification for exchanging context information between AI agents.", "type": "protocol"}]


draft_name: draft-liu-dmsc-acps-arc
prompt_hash: 8d9efeaadff27c0e
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-liu-dmsc-acps-arc]
created_at: 2026-03-08T15:14:38.875835+00:00
response_json:
  [{"title": "Agent Collaboration Protocols Architecture", "description": "A comprehensive reference architecture defining conceptual domains, functional components, and interfaces for interconnection and collaboration among heterogeneous agents.", "type": "architecture"}, {"title": "Agent Lifecycle Support", "description": "A set of integrated protocols covering agent registration, identity authentication, discovery, interaction, tool invocation, and monitoring across the agent network lifecycle.", "type": "protocol"}]


draft_name: draft-liu-dmsc-gw-requirements
prompt_hash: 6eb13149a7fabdc7
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-liu-dmsc-gw-requirements]
created_at: 2026-03-08T15:14:38.882871+00:00
response_json:
  [{"title": "DMSC Gateway Requirements", "description": "Specification of requirements for a new gateway entity type designed specifically for multi-agent secured collaboration with improved scalability, efficiency, and security.", "type": "requirement"}]


draft_name: draft-liu-rtgwg-agent-gateway-requirements
prompt_hash: e5cb049a3428fc99
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-liu-rtgwg-agent-gateway-requirements]
created_at: 2026-03-08T15:14:38.889001+00:00
response_json:
  [{"title": "Agent Gateway Requirements", "description": "Specification of requirements for dedicated gateway entities to mediate agent-to-agent communications with enhanced scalability, efficiency, and security capabilities.", "type": "requirement"}]


draft_name: draft-mandel-lamps-rfc5274bis
prompt_hash: 10465f655a0ac31d
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-mandel-lamps-rfc5274bis]
created_at: 2026-03-08T15:14:38.894449+00:00
response_json:
  [{"title": "CMC Compliance Requirements", "description": "A set of compliance statements defining requirements for implementing the Certificate Management over CMS (CMC) enrollment protocol.", "type": "requirement"}]


draft_name: draft-melnikov-sasl2
prompt_hash: feea3461738d7ee7
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-melnikov-sasl2]
created_at: 2026-03-08T15:14:42.644679+00:00
response_json:
  [{"title": "SASL Framework Architecture", "description": "A structured framework enabling protocols and authentication mechanisms to be decoupled and composed independently, allowing protocol reuse across mechanisms and mechanism reuse across protocols.", "type": "architecture"}, {"title": "SASL Data Security Layer Protocol", "description": "A protocol specification for securing subsequent exchanges after authentication by establishing a data security layer over an authenticated connection.", "type": "protocol"}, {"title": "Server Extra Authentication Request Mechanism", "description": "A mechanism allowing servers to request fulfillment of additional authentication requirements during or after the initial authentication exchange.", "type": "mechanism"}]


draft_name: draft-men-rtgwg-agent-networking-digibank-scenario
prompt_hash: e08a1e88bae42788
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-men-rtgwg-agent-networking-digibank-scenario]
created_at: 2026-03-08T15:14:42.661417+00:00
response_json:
  [{"title": "Agent Gateway-Based Networking Architecture", "description": "A network architecture for agent interconnection in enterprise and broadband environments centered on an agent gateway component enabling agentic service interaction.", "type": "architecture"}]


draft_name: draft-miller-ssh-agent
prompt_hash: 0fdb7ce13f5c1740
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-miller-ssh-agent]
created_at: 2026-03-08T15:14:42.668374+00:00
response_json:
  [{"title": "SSH Agent Protocol", "description": "A protocol enabling SSH implementations to delegate key management and signing operations to a separate key agent.", "type": "protocol"}]


draft_name: draft-nederveld-adl
prompt_hash: fd2514b0a5c9628b
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-nederveld-adl]
created_at: 2026-03-08T15:14:42.674857+00:00
response_json:
  [{"title": "Agent Definition Language (ADL)", "description": "A JSON-based standard format for declaring AI agent identity, capabilities, tools, permissions, security requirements, and runtime configuration to enable discovery, interoperability, and lifecycle management across platforms.", "type": "architecture"}]


draft_name: draft-ni-a2a-ai-agent-security-requirements
prompt_hash: df78070790195e62
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ni-a2a-ai-agent-security-requirements]
created_at: 2026-03-08T15:14:42.682085+00:00
response_json:
  [{"title": "AI Agent Security Requirements Framework", "description": "A comprehensive specification of security requirements covering agent provisioning, registration, discovery, cross-domain interconnection, and access control throughout the agent lifecycle.", "type": "requirement"}]


draft_name: draft-ni-wimse-ai-agent-identity
prompt_hash: 2a785952a963982a
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-ni-wimse-ai-agent-identity]
created_at: 2026-03-08T15:14:45.617287+00:00
response_json:
  [{"title": "WIMSE Identity Framework for AI Agents", "description": "Extend WIMSE workload identity standards to establish independent cryptographic identities and credential lifecycle management for autonomous AI agents.", "type": "architecture"}]


draft_name: draft-nourse-scep
prompt_hash: 303d52395911cd15
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-nourse-scep]
created_at: 2026-03-08T15:14:45.634734+00:00
response_json:
  [{"title": "Simple Certificate Enrollment Protocol", "description": "A PKI enrollment protocol that wraps PKCS#7 and PKCS#10 payloads over HTTP to simplify certificate issuance for resource-constrained clients.", "type": "protocol"}]


draft_name: draft-rosenberg-ai-protocols
prompt_hash: e16271e22647984e
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-rosenberg-ai-protocols]
created_at: 2026-03-08T15:14:45.644887+00:00
response_json:
  [{"title": "AI Agent Communication Framework", "description": "Define a protocol framework architecture for AI agents to communicate with users, invoke APIs, and coordinate with other agents over the Internet.", "type": "architecture"}, {"title": "AI Agent Protocol Requirements", "description": "Establish functional and communication requirements for protocols enabling AI agents to discover, authenticate, and securely invoke external resources and services.", "type": "requirement"}]


draft_name: draft-song-rtgwg-din-usecases-requirements
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model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-song-rtgwg-din-usecases-requirements]
created_at: 2026-03-08T15:14:45.651389+00:00
response_json:
  [{"title": "Distributed Inference Network Architecture", "description": "A distributed edge-cloud collaboration architecture for AI inference that addresses scalability, latency, and security through intelligent scheduling and decentralized deployment.", "type": "architecture"}]


draft_name: draft-steele-agent-considerations
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request_json: batch-ideas[draft-steele-agent-considerations]
created_at: 2026-03-08T15:14:47.989790+00:00
response_json:
  [{"title": "Agent Consideration Section", "description": "A standardized section for IETF specifications that provides guidance enabling AI agents to consume specifications and generate code from them.", "type": "pattern"}, {"title": "Agentcards for Code Generation", "description": "A structured format for annotating examples and data models within IETF specifications to facilitate AI-driven code generation.", "type": "mechanism"}]


draft_name: draft-stephan-ai-agent-6g
prompt_hash: b7a65a3db2f485da
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-stephan-ai-agent-6g]
created_at: 2026-03-08T15:14:48.007116+00:00
response_json:
  [{"title": "AI Agent Communication Protocols for 6G", "description": "Communication protocols and service requirements for interactions between AI agents and between agents and tools in 6G systems.", "type": "protocol"}]


draft_name: draft-xiong-rtgwg-requirements-hp-wan
prompt_hash: 82233ddb32411032
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-xiong-rtgwg-requirements-hp-wan]
created_at: 2026-03-08T15:14:48.016758+00:00
response_json:
  [{"title": "High-performance Wide Area Network Requirements", "description": "A specification of technical requirements for wide area networks supporting massive data transmission with high integrity and efficiency for big data and intelligent computing applications.", "type": "requirement"}]


draft_name: draft-zhang-aiproto-svcb-mapping-for-agents
prompt_hash: 647a1117ecce4fb7
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-zhang-aiproto-svcb-mapping-for-agents]
created_at: 2026-03-08T15:14:50.003706+00:00
response_json:
  [{"title": "AGENT DNS Resource Record Type", "description": "Defines a new SVCB-compatible DNS resource record type for agent service resolution and discovery.", "type": "protocol"}]


draft_name: draft-zheng-agent-identity-management
prompt_hash: 0447922778872faa
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-zheng-agent-identity-management]
created_at: 2026-03-08T15:14:50.010763+00:00
response_json:
  [{"title": "Agent Identity Management Framework", "description": "Specifies agent identity descriptors, registration processes, identifier structure, and gateway-based identity management functions for the Internet of Agents system.", "type": "architecture"}]


draft_name: w3c-cuap
prompt_hash: 1d1f58c70635e7f5
model: claude-haiku-4-5-20251001
request_json: batch-ideas[w3c-cuap]
created_at: 2026-03-08T15:14:51.493012+00:00
response_json:
  [{"title": "Common User Agent Implementation Problems", "description": "A catalogue of frequent mistakes in user agent implementations arising from incorrect or incomplete specification adherence, paired with suggested remedies.", "type": "requirement"}, {"title": "Undefined Behavior Guidelines for User Agents", "description": "Best practice recommendations for user agent behavior in scenarios not explicitly specified by standards, such as error condition handling.", "type": "pattern"}]


draft_name: draft-duda-dnsop-dns-did
prompt_hash: c387b08ed6e4fec1
model: claude-sonnet-4-20250514
request_json: batch[0]
created_at: 2026-03-08T15:15:54.213527+00:00
response_json:
  {"name": "draft-duda-dnsop-dns-did", "s": "Proposes a DNS-based framework for privacy-preserving identity management using Self-Certifying Identifiers and trusted proxies. Leverages DNSSEC-secured TXT records to bind public keys to identities while hiding real identities behind trusted intermediaries.", "n": 3, "nn": "Combines existing concepts (DNS, DNSSEC, DIDs) in a novel way for privacy-preserving identity", "m": 2, "mn": "Early stage draft with basic framework outlined but limited implementation details", "o": 3, "on": "Some overlap with existing DID and DNS-based identity work", "mo": 2, "mon": "Single author draft without clear implementation or adoption signals", "r": 4, "rn": "Highly relevant for AI agent authentication and autonomous system identity management", "c": ["Agent identity/auth", "Policy/governance", "Autonomous netops"]}


draft_name: draft-duda-dnsop-dns-did
prompt_hash: f902b1e736d736d1
model: claude-haiku-4-5-20251001
request_json: batch-ideas[draft-duda-dnsop-dns-did]
created_at: 2026-03-08T15:16:13.304969+00:00
response_json:
  [{"title": "Self-Certifying Identifiers (SIDs) with DNS-DNSSEC Binding", "description": "A framework that uses DNS TXT records secured by DNSSEC to bind public keys to privacy-preserving identifiers, enabling cryptographic verification of identity claims at scale.", "type": "architecture"}, {"title": "Trustee-Mediated Privacy Model", "description": "An intermediation pattern where User/Service Trustees act as trusted proxies to hide real identities while managing credentials and access control without requiring direct exposure of principals.", "type": "pattern"}, {"title": "Role-Based Access Control via SID-Bound Credentials", "description": "A mechanism for issuing and verifying credentials bound to Self-Certifying Identifiers that enforce role-based permissions with ephemeral token lifecycle management.", "type": "mechanism"}]


draft_name: etsi-gr-sai-001
prompt_hash: 365d943acfb8486f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:36.924441+00:00
response_json:
  {"name": "etsi-gr-sai-001", "s": "Establishes a comprehensive ontology for categorizing and understanding threats to AI systems. Provides foundational taxonomy for threat identification across the AI lifecycle.", "n": 3, "nn": "Threat taxonomies exist in academic literature; ETSI's formalization adds standards perspective but builds on established threat modeling concepts.", "m": 4, "mn": "Well-developed standard from established SDO with clear scope and structure, though foundational rather than prescriptive.", "o": 2, "on": "Limited direct overlap with other ETSI SAI documents; serves as reference framework for SAI-003 and SAI-005.", "mo": 3, "mon": "Part of coordinated ETSI SAI effort but primarily definitional rather than driving technical advancement.", "r": 5, "rn": "Foundational for AI security standardization; threat classification essential for all downstream security work.", "c": ["Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: etsi-gr-sai-002
prompt_hash: 898302c3d3c8d30f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:36.949990+00:00
response_json:
  {"name": "etsi-gr-sai-002", "s": "Addresses security risks throughout the data supply chain for AI systems, from collection through preprocessing. Focuses on data integrity, provenance, and contamination threats.", "n": 3, "nn": "Data provenance and supply chain security are emerging topics; this specification adds rigor but overlaps with broader software supply chain work.", "m": 3, "mn": "Developing specification addressing increasingly critical area, though data governance standards still maturing industry-wide.", "o": 3, "on": "Complements SAI-001 (threat context) and SAI-003 (testing approaches); some overlap with general supply chain security practices.", "mo": 4, "mon": "Addresses high-priority concern as data poisoning attacks increase; gaining traction in AI security community.", "r": 4, "rn": "Critical for practical AI deployment; data supply chain vulnerabilities represent major attack surface.", "c": ["Data formats/interop", "Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: etsi-gr-sai-003
prompt_hash: aecbce521f5e7100
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:36.960715+00:00
response_json:
  {"name": "etsi-gr-sai-003", "s": "Provides guidance on security testing methodologies specific to AI systems. Covers adversarial robustness, model extraction, and other AI-specific attack testing.", "n": 4, "nn": "Extends traditional security testing to AI domain; adversarial testing research is active but standardized testing frameworks are novel.", "m": 3, "mn": "Growing specification addressing practical needs; testing standards for AI still developing as techniques mature.", "o": 2, "on": "Builds on SAI-001 threat taxonomy and SAI-002 data security; relatively distinct testing focus.", "mo": 4, "mon": "Rapidly advancing area with increasing industry demand; testing standards becoming essential for AI deployment confidence.", "r": 5, "rn": "Critical for practical validation of AI system security; enables demonstration of resilience to identified threats.", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: etsi-gr-sai-004
prompt_hash: 9b36983600582711
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:36.970976+00:00
response_json:
  {"name": "etsi-gr-sai-004", "s": "Problem statement examining challenges in AI safety, security, and governance for automated decision systems. Establishes requirements and gaps for subsequent specifications.", "n": 2, "nn": "Problem statements on AI governance are common; this ETSI version adds standards-body perspective but similar analysis exists in academic and industry literature.", "m": 2, "mn": "Foundational framing document; may serve as working requirements but lacks prescriptive technical depth.", "o": 4, "on": "Heavy conceptual overlap with all other SAI documents; serves as requirements/context for SAI-001, SAI-002, SAI-003, SAI-005.", "mo": 2, "mon": "Problem articulation rather than solution driving; supports overall effort but not primary momentum driver.", "r": 4, "rn": "Important for establishing stakeholder consensus on scope and priorities in AI safety/security/governance.", "c": ["Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: etsi-gr-sai-005
prompt_hash: c7f25230a80f1a9c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:36.980404+00:00
response_json:
  {"name": "etsi-gr-sai-005", "s": "Outlines mitigation strategies and countermeasures for AI threats identified in SAI-001. Provides practical risk reduction approaches across development and deployment.", "n": 3, "nn": "Mitigation strategy documentation is standard practice; AI-specific mitigation guidance adds value but builds on established risk management principles.", "m": 3, "mn": "Actionable guidance developing in parallel with threat understanding; maturity depends on efficacy validation of proposed mitigations.", "o": 2, "on": "Directly applies SAI-001 threat ontology; complements SAI-002 (data) and SAI-003 (testing) with cross-cutting strategies.", "mo": 3, "mon": "Practical value drives adoption but highly dependent on maturation of underlying threat and testing specifications.", "r": 5, "rn": "Essential for converting threat understanding into actionable risk reduction; enables practical AI system hardening.", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: etsi-gr-sai-006
prompt_hash: ca1630dc6cfd677b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:47.245878+00:00
response_json:
  {"name": "etsi-gr-sai-006", "s": "ETSI guidance on hardware's role in securing AI systems. Covers hardware-based security mechanisms, trusted execution environments, and physical security considerations for AI deployments.", "n": 3, "nn": "Addresses specialized domain of hardware security for AI, relatively nascent area with emerging best practices", "m": 2, "mn": "Guidance-level document (GR) rather than normative standard; hardware AI security still evolving", "o": 2, "on": "Unique focus on hardware layer; minimal overlap with software/model-centric security specs", "mo": 3, "mon": "Part of established ETSI SAI group but hardware security for AI remains niche topic", "r": 3, "rn": "Relevant for AI infrastructure security but not directly addressing agent/networking protocols", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: etsi-en-304-223
prompt_hash: 47d839a6195a7e52
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:47.257433+00:00
response_json:
  {"name": "etsi-en-304-223", "s": "ETSI normative standard establishing baseline cybersecurity requirements for AI models and systems. Defines essential security controls and threat mitigation for AI deployments.", "n": 2, "nn": "Addresses well-established cybersecurity domain applied to AI; limited conceptual novelty", "m": 4, "mn": "Normative EN-level standard indicating mature specification and standardization process", "o": 4, "on": "Significant overlap with general cybersecurity frameworks; applies existing principles to AI context", "mo": 4, "mon": "Part of active ETSI SAI standards group with clear industry adoption trajectory", "r": 3, "rn": "Foundational for AI security but broadly scoped rather than agent/protocol specific", "c": ["Policy/governance", "AI safety/alignment", "Agent identity/auth"]}


draft_name: etsi-gs-eni-001
prompt_hash: 8abb16243db6dbed
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:47.267188+00:00
response_json:
  {"name": "etsi-gs-eni-001", "s": "ETSI guidance documenting use cases for Evolved Network Intelligence (ENI). Identifies key application scenarios for AI and machine learning in network environments.", "n": 2, "nn": "Use case documentation is standard practice; ENI use cases follow conventional network intelligence patterns", "m": 3, "mn": "Guidance specification (GS) defining foundational concepts; establishing baseline maturity for ENI group", "o": 3, "on": "Moderate overlap with general network intelligence and network automation use cases", "mo": 3, "mon": "Early-stage ENI standards group; use cases provide foundation for broader standardization", "r": 4, "rn": "Directly relevant to autonomous network operations and agent-based network management", "c": ["Autonomous netops", "ML traffic mgmt", "Policy/governance"]}


draft_name: etsi-gs-eni-002
prompt_hash: 4f53481a1f4b1fa7
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:47.278861+00:00
response_json:
  {"name": "etsi-gs-eni-002", "s": "ETSI specification defining functional and operational requirements for ENI systems. Establishes baseline capabilities, interfaces, and performance expectations for intelligent network deployments.", "n": 2, "nn": "Requirements specifications follow established methodologies; ENI requirements adapt network intelligence patterns", "m": 3, "mn": "Guidance-level requirements document establishing normative direction for ENI development", "o": 3, "on": "Moderate overlap with network management and orchestration requirements frameworks", "mo": 3, "mon": "Supports emerging ENI standardization effort with foundational requirements baseline", "r": 4, "rn": "Core relevance to autonomous network operations, agent discovery, and network management protocols", "c": ["Autonomous netops", "Agent discovery/reg", "ML traffic mgmt", "Data formats/interop"]}


draft_name: etsi-gs-eni-005
prompt_hash: fded9640a56ab7ea
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:47.289816+00:00
response_json:
  {"name": "etsi-gs-eni-005", "s": "ETSI specification defining system architecture for ENI deployments. Covers component design, integration patterns, data flows, and architectural frameworks for intelligent network systems.", "n": 2, "nn": "System architecture follows conventional microservices and distributed systems patterns", "m": 3, "mn": "Architecture specification provides concrete design guidance but remains at guidance level (GS)", "o": 3, "on": "Moderate overlap with network function virtualization and network orchestration architectures", "mo": 3, "mon": "Provides architectural foundation for ENI ecosystem development and standardization", "r": 4, "rn": "High relevance for agent-based network systems, autonomous operations, and protocol interoperability", "c": ["Autonomous netops", "Data formats/interop", "Agent identity/auth", "A2A protocols"]}


draft_name: etsi-gr-eni-007
prompt_hash: 1960c7708360a35d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:58.627959+00:00
response_json:
  {"name": "etsi-gr-eni-007", "s": "Defines taxonomies and categories for classifying AI applications in network environments. Provides a structured framework for understanding different types of AI use cases across networking domains.", "n": 2, "nn": "Primarily a classification/taxonomy document; limited novel technical contributions beyond categorization scheme", "m": 4, "mn": "ETSI GR (Group Report) indicates mature consensus work; well-developed taxonomy framework", "o": 3, "on": "Moderate overlap with ITU-T Y.3172-3174 architectural frameworks; complements rather than duplicates", "mo": 3, "mon": "ETSI ENI specifications show steady development but less industry momentum than ITU-T recommendations", "r": 3, "rn": "Useful reference material for AI-in-networks discussions; indirect relevance to autonomous agent systems", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: etsi-gs-eni-019
prompt_hash: 337c5649294708a4
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:58.648337+00:00
response_json:
  {"name": "etsi-gs-eni-019", "s": "Addresses context representation, inference, and application within ENI frameworks. Enables intelligent systems to understand and utilize contextual information for network decision-making.", "n": 3, "nn": "Context modeling is moderately novel for ENI; builds on established semantic/ontology approaches with network-specific adaptations", "m": 3, "mn": "GS (Group Specification) level indicates developing specification with some consensus; not yet fully mature standard", "o": 2, "on": "Limited direct overlap; addresses specific context layer not explicitly covered in ITU-T framework documents", "mo": 2, "mon": "ETSI ENI showing slower adoption momentum compared to ITU-T recommendations in industry", "r": 3, "rn": "Relevant for autonomous netops context reasoning; useful for agent knowledge representation", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: itu-t-y-3172
prompt_hash: 4af4a854aee8e629
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:58.657274+00:00
response_json:
  {"name": "itu-t-y-3172", "s": "Establishes comprehensive architectural framework for machine learning deployment in future networks including 5G/IMT-2020. Covers design principles, functional architecture, and reference models.", "n": 4, "nn": "Significant contribution as foundational ML architecture for standardized network environments; comprehensive framework addressing multiple layers", "m": 5, "mn": "ITU-T Recommendation status indicates high maturity, broad consensus, and international standardization approval", "o": 1, "on": "Unique comprehensive architecture; foundation document referenced by other standards; minimal overlap", "mo": 5, "mon": "ITU-T Recommendations carry high industry weight; Y.3172 widely adopted in telecom sector", "r": 5, "rn": "Highly relevant foundational standard for AI in networks and autonomous operations", "c": ["Autonomous netops", "Model serving/inference", "Data formats/interop", "Policy/governance"]}


draft_name: itu-t-y-3173
prompt_hash: c0be4ef639440995
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:58.665761+00:00
response_json:
  {"name": "itu-t-y-3173", "s": "Proposes evaluation framework and metrics for assessing intelligence levels of AI-enabled future networks. Enables standardized measurement and benchmarking of network intelligence capabilities.", "n": 3, "nn": "Novel contribution in defining intelligence level metrics; extends Y.3172 with measurement framework but uses established evaluation methodologies", "m": 4, "mn": "ITU-T Recommendation with mature evaluation criteria; complements Y.3172 with measurable assessment approach", "o": 2, "on": "Complements Y.3172 architecture; minimal overlap with other documents; evaluation-focused niche", "mo": 4, "mon": "Strong standards momentum; essential companion to Y.3172; industry adoption growing", "r": 4, "rn": "Highly relevant for measuring autonomous netops maturity and AI system capability assessment", "c": ["Autonomous netops", "Policy/governance", "Other AI/agent"]}


draft_name: itu-t-y-3174
prompt_hash: 7324ba87ce00d9fe
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:09:58.675351+00:00
response_json:
  {"name": "itu-t-y-3174", "s": "Establishes framework for data handling, lifecycle management, and preparation supporting machine learning in future networks. Addresses data quality, governance, and ML readiness.", "n": 3, "nn": "Moderately novel data governance approach for ML; applies established data management practices with network-specific ML considerations", "m": 4, "mn": "ITU-T Recommendation status; mature data handling framework aligned with industry best practices", "o": 2, "on": "Complements Y.3172 architecture; some overlap with ETSI ENI-019 on data aspects; largely distinct focus", "mo": 4, "mon": "Critical component of ITU-T ML architecture; strong adoption in data-intensive network deployments", "r": 4, "rn": "Essential for autonomous agent systems requiring reliable data pipelines and governance", "c": ["Data formats/interop", "ML traffic mgmt", "Policy/governance", "Autonomous netops"]}


draft_name: itu-t-y-3176
prompt_hash: d1f0f0afa31e0186
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:09.148146+00:00
response_json:
  {"name": "itu-t-y-3176", "s": "Defines architecture for integrating machine learning marketplaces into future networks and IMT-2020. Addresses how ML models and services can be discovered, traded, and integrated across network domains.", "n": 3, "nn": "ML marketplace concept for networks is relatively novel, though service marketplaces exist in other domains", "m": 3, "mn": "ITU-T recommendation suggests mature standardization process, but marketplace ecosystems for ML are still emerging", "o": 4, "on": "Overlaps significantly with Y.3177 (AI-as-a-Service) and Y.3180 (multi-domain ML pipeline) in service integration aspects", "mo": 3, "mon": "ITU-T standardization indicates institutional momentum, though ML marketplace adoption in telecom remains limited", "r": 4, "rn": "Relevant for network operators seeking to integrate third-party ML services and monetize ML capabilities", "c": ["Model serving/inference", "Agent discovery/reg", "Data formats/interop", "Policy/governance"]}


draft_name: itu-t-y-3177
prompt_hash: ef31dc92a066c0b8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:09.169154+00:00
response_json:
  {"name": "itu-t-y-3177", "s": "Establishes architectural framework for AI-as-a-Service to deliver AI capabilities across future networks. Defines service models, interfaces, and integration patterns for AI service provisioning.", "n": 3, "nn": "AI-as-a-Service is a known concept; the novelty lies in ITU-T standardized network-specific framework", "m": 4, "mn": "Well-developed recommendation from mature standards body with clear service architecture patterns", "o": 4, "on": "Heavily overlaps with Y.3176 (marketplace integration), Y.3179 (network automation), and Y.3180 (ML pipeline) in service delivery aspects", "mo": 4, "mon": "Strong momentum from ITU-T standardization; AI-as-a-Service is widely adopted in cloud/telecom sectors", "r": 5, "rn": "Highly relevant for operators implementing AI services across networks; foundational for service interoperability", "c": ["Model serving/inference", "A2A protocols", "Data formats/interop", "Agent discovery/reg"]}


draft_name: itu-t-y-3178
prompt_hash: f91052d8ebef7557
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:09.179923+00:00
response_json:
  {"name": "itu-t-y-3178", "s": "Defines requirements and architectural framework for federated machine learning in distributed network environments. Addresses privacy-preserving ML training across multiple domains without centralizing data.", "n": 4, "nn": "Federated learning is well-established; ITU-T standardization of network-specific federated ML requirements is more novel", "m": 4, "mn": "Federated learning is mature; ITU-T recommendation adds maturity through standardized requirements", "o": 2, "on": "Relatively unique focus on federated learning; less overlap with other drafts though complements Y.3180 (multi-domain pipelines)", "mo": 4, "mon": "Federated learning has strong momentum due to privacy regulations (GDPR, etc.) and multi-stakeholder networks", "r": 4, "rn": "Highly relevant for telecom networks handling sensitive data across multiple carriers and jurisdictions", "c": ["AI safety/alignment", "Data formats/interop", "Policy/governance", "Agent identity/auth"]}


draft_name: itu-t-y-3179
prompt_hash: ad765460aa759b35
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:09.188921+00:00
response_json:
  {"name": "itu-t-y-3179", "s": "Provides architectural framework for using AI and machine learning to automate network operations and management. Addresses autonomous network management, self-healing, and optimization capabilities.", "n": 2, "nn": "AI-based network automation is well-established in the industry; ITU-T standardization adds incremental value", "m": 4, "mn": "Network automation maturity is high; established patterns for AI/ML-driven netops already exist", "o": 3, "on": "Overlaps with Y.3177 (service delivery), Y.3180 (ML pipeline), and general AI architecture principles", "mo": 5, "mon": "Very high momentum; network operators actively pursuing AI-driven automation for cost reduction and resilience", "r": 5, "rn": "Critical for operators; autonomous netops is a primary use case for AI in telecommunications", "c": ["Autonomous netops", "ML traffic mgmt", "Policy/governance", "Human-agent interaction"]}


draft_name: itu-t-y-3180
prompt_hash: 2f8af679ee15d7be
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:09.197254+00:00
response_json:
  {"name": "itu-t-y-3180", "s": "Defines framework for orchestrating multi-domain ML pipelines across future networks. Addresses end-to-end ML workflows spanning multiple network domains with different ownership and governance.", "n": 3, "nn": "Multi-domain ML coordination is relatively novel in telecom context; addresses integration complexity", "m": 3, "mn": "Framework maturity is moderate; multi-domain orchestration patterns still evolving in practice", "o": 4, "on": "Overlaps significantly with Y.3176 (marketplace), Y.3177 (AI-as-a-Service), and Y.3178 (federated learning)", "mo": 3, "mon": "Moderate momentum; multi-domain coordination is emerging need but not yet widely deployed", "r": 4, "rn": "Relevant for complex network environments with multiple service providers and operational domains", "c": ["Data formats/interop", "Policy/governance", "Model serving/inference", "Agent discovery/reg"]}


draft_name: itu-t-y-3181
prompt_hash: a609bd2ef0a0927e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:24.021566+00:00
response_json:
  {"name": "itu-t-y-3181", "s": "Establishes architectural framework for trustworthy AI in networking, addressing safety and reliability of ML-based network systems. Focuses on building confidence in AI-driven networking infrastructure through formal architectural guidelines.", "n": 3, "nn": "Trustworthy AI in networking is well-explored; this provides ITU standardization perspective but limited novel architectural concepts", "m": 4, "mn": "Mature recommendation from established standards body with clear governance and review processes", "o": 3, "on": "Overlaps significantly with Y.3530/Y.3531 on ML in networks and general AI safety literature; moderate differentiation through trustworthiness lens", "mo": 4, "mon": "Strong momentum as ITU-T recommendation with international adoption potential; trustworthy AI is high-priority domain", "r": 4, "rn": "Highly relevant to network operators and AI system designers; addresses critical trust concerns in production systems", "c": ["AI safety/alignment", "Policy/governance", "Autonomous netops"]}


draft_name: itu-t-y-3530
prompt_hash: 73a8eb6f94fc58ab
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:24.043000+00:00
response_json:
  {"name": "itu-t-y-3530", "s": "Provides overview of ML applications in future cloud and network architectures, surveying ML techniques for network optimization. Foundational survey establishing landscape of ML in networking.", "n": 2, "nn": "Survey-level contribution with limited novel technical insights; overview documents are incremental to existing ML-in-networks literature", "m": 4, "mn": "Standardized overview document from ITU-T indicates mature consensus view; well-structured but not cutting-edge", "o": 4, "on": "Heavy overlap with Y.3531 (both address ML in cloud/networks); also overlaps with Y.3181 (trustworthy ML) and Y.4907 (AI in specialized domains)", "mo": 3, "mon": "Moderate momentum as foundational survey; may serve as reference but lacks specific technical innovation to drive adoption", "r": 3, "rn": "Relevant as educational/reference material for understanding ML scope in networks; less actionable than specialized recommendations", "c": ["ML traffic mgmt", "Autonomous netops", "Other AI/agent"]}


draft_name: itu-t-y-3531
prompt_hash: 3f288490dfd58182
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:24.052391+00:00
response_json:
  {"name": "itu-t-y-3531", "s": "Defines functional architecture for MLaaS (Machine Learning as a Service) in cloud computing environments. Specifies service components, interfaces, and deployment models for ML services.", "n": 3, "nn": "MLaaS architecture is established concept; ITU standardization adds formal structure but lacks significant novel technical contributions", "m": 4, "mn": "Well-matured recommendation from standards body with clear functional decomposition; stable specification", "o": 3, "on": "Moderate-to-high overlap with Y.3530 (both cloud ML); also relates to model serving/inference aspects discussed in other standards", "mo": 4, "mon": "Strong momentum in cloud AI services domain; ITU-T endorsement increases standardization credibility", "r": 4, "rn": "Highly relevant to cloud providers and enterprises deploying ML services; provides standardized reference architecture", "c": ["Model serving/inference", "Data formats/interop", "Policy/governance"]}


draft_name: itu-t-y-4464
prompt_hash: 03849e5d6a822264
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:24.062980+00:00
response_json:
  {"name": "itu-t-y-4464", "s": "Establishes framework for IoT networks using autonomous agents for distributed intelligence and coordination. Addresses agent roles, interactions, and area network organization.", "n": 3, "nn": "Autonomous agents in IoT are active research area; framework provides ITU perspective but overlaps with established agent architectures and multi-agent systems literature", "m": 3, "mn": "Moderate maturity as recommendation; autonomous agent standards still evolving with less consensus than traditional networking specs", "o": 2, "on": "Relatively unique focus on agents in IoT domain; some overlap with A2A protocol concepts and agent discovery/registration in other contexts", "mo": 4, "mon": "High momentum in IoT and edge AI; autonomous agents gaining traction as IoT coordination solution", "r": 4, "rn": "Highly relevant to IoT deployments seeking distributed intelligence; addresses key IoT scalability and autonomy challenges", "c": ["Autonomous netops", "A2A protocols", "Agent discovery/reg", "Other AI/agent"]}


draft_name: itu-t-y-4907
prompt_hash: be7326241b5811da
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:24.072234+00:00
response_json:
  {"name": "itu-t-y-4907", "s": "Specifies reference architecture for intelligent transportation systems (ITS) communication networks leveraging AI. Defines components and interfaces for AI-enabled vehicle and infrastructure coordination.", "n": 3, "nn": "AI in transportation is well-established; ITU provides standardized reference but builds on mature domain-specific architectures", "m": 4, "mn": "Mature domain-specific recommendation with clear stakeholder alignment in transportation industry", "o": 2, "on": "Relatively unique ITS-specific focus; minimal overlap with other documents except general ML/AI architectural principles", "mo": 4, "mon": "Strong momentum driven by automotive and smart city initiatives; AI in ITS is high-priority across industries", "r": 4, "rn": "Highly relevant to transportation authorities, vehicle manufacturers, and infrastructure operators; addresses critical safety and efficiency requirements", "c": ["Autonomous netops", "Agent identity/auth", "Policy/governance", "Other AI/agent"]}


draft_name: itu-t-x-1381
prompt_hash: c6773c6e664d05dc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:34.144788+00:00
response_json:
  {"name": "itu-t-x-1381", "s": "Framework for assessing AI risks in telecommunication networks. Establishes methodology for identifying and evaluating security and operational threats from AI systems in telecom infrastructure.", "n": 3, "nn": "Risk assessment frameworks for telecom AI are emerging but this provides ITU standardization perspective; moderate novelty in telecom-specific context", "m": 4, "mn": "Well-established as ITU-T recommendation with formal governance; mature standardization process", "o": 3, "on": "Overlaps with X.1382, X.1384 on security aspects; complementary to governance work in FG-AI4H", "mo": 4, "mon": "ITU-T backing indicates institutional momentum; part of coordinated standards family", "r": 4, "rn": "Directly relevant to telecom operators and vendors managing AI deployment risks", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: itu-t-x-1382
prompt_hash: 40d899e1c0c34dab
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:34.165992+00:00
response_json:
  {"name": "itu-t-x-1382", "s": "Specifies security requirements for AI-based solutions deployed in telecommunication networks. Defines controls and safeguards for securing AI systems in telecom environments.", "n": 3, "nn": "Security requirements for telecom AI are emerging area; ITU standardization adds formality but concepts are known", "m": 4, "mn": "Formal ITU-T recommendation status indicates mature standards development process", "o": 4, "on": "Heavy overlap with X.1381 (risk framework) and X.1384 (threats/treatment); complementary rather than distinct", "mo": 4, "mon": "Part of coordinated ITU-T X.138x family with clear institutional backing", "r": 4, "rn": "High relevance for telecom service providers implementing AI security controls", "c": ["Policy/governance", "AI safety/alignment", "Agent identity/auth"]}


draft_name: itu-t-x-1383
prompt_hash: b345356964c59e81
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:34.175041+00:00
response_json:
  {"name": "itu-t-x-1383", "s": "Establishes assessment criteria for evaluating trustworthiness of AI-based telecom services. Provides metrics and evaluation methods for AI system reliability and dependability.", "n": 2, "nn": "Trustworthiness assessment criteria are well-explored in AI literature; application to telecom is incremental", "m": 4, "mn": "Formal ITU-T recommendation status; mature standardization approach", "o": 3, "on": "Complementary to X.1381-X.1382 but distinct focus on assessment rather than requirements; overlaps with FG-AI4H ethics work", "mo": 4, "mon": "Strong institutional momentum through ITU-T; part of coordinated standards initiative", "r": 3, "rn": "Relevant for telecom operators evaluating AI vendor solutions and service quality assurance", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: itu-t-x-1384
prompt_hash: 4439303a1cb71f72
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:34.183264+00:00
response_json:
  {"name": "itu-t-x-1384", "s": "Catalogs security threats and risk mitigation measures specific to AI-based telecommunication systems. Identifies threat models and treatment strategies for securing AI in telecom.", "n": 3, "nn": "Threat catalogs for AI systems exist broadly; telecom-specific instantiation has moderate novelty", "m": 4, "mn": "ITU-T recommendation format ensures formal development and review", "o": 4, "on": "Significant overlap with X.1381 (risk assessment) and X.1382 (security requirements); forms cohesive standards family", "mo": 4, "mon": "Part of coordinated ITU-T standards suite with clear institutional support", "r": 4, "rn": "Highly relevant for threat modeling, security architecture, and incident response planning in telecom AI systems", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: itu-t-fg-ai4h-del01
prompt_hash: c10f5a956523e564
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:34.191442+00:00
response_json:
  {"name": "itu-t-fg-ai4h-del01", "s": "Addresses ethics and governance frameworks for AI applications in healthcare. Establishes principles and governance structures for responsible AI deployment in health services.", "n": 3, "nn": "AI ethics and governance are well-established domains; health-specific focus provides sector context but concepts are known", "m": 3, "mn": "FG working group deliverable indicates active development; less mature than finalized recommendations", "o": 2, "on": "Unique to healthcare sector; limited overlap with telecom-focused X.138x series except governance principles", "mo": 3, "mon": "Active FG working group indicates ongoing momentum; newer than established ITU-T recommendations", "r": 2, "rn": "Relevant for healthcare organizations and AI health platforms; lower relevance to telecom operators", "c": ["Policy/governance", "Human-agent interaction", "AI safety/alignment"]}


draft_name: itu-t-fg-ai4h-del02
prompt_hash: a58fcea7d25c697d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:43.481231+00:00
response_json:
  {"name": "itu-t-fg-ai4h-del02", "s": "ITU-T recommendation addressing data handling practices for AI applications in healthcare. Focuses on data management, quality, and governance specific to health AI systems.", "n": 3, "nn": "Healthcare-specific focus adds domain relevance but data handling principles are generalizable", "m": 4, "mn": "ITU-T formal recommendation indicates mature standardization process", "o": 4, "on": "Significant overlap with ISO/IEC 22989 (terminology) and ISO/IEC 42001 (management systems) on data governance aspects", "mo": 3, "mon": "Part of established ITU-T FG-AI4H series but limited visibility in broader AI standards ecosystem", "r": 4, "rn": "High relevance for healthcare AI deployments; moderate relevance for general AI systems", "c": ["Policy/governance", "Data formats/interop", "Other AI/agent"]}


draft_name: itu-t-fg-ai4h-del7-2
prompt_hash: 1ff0b532d39892be
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:43.501709+00:00
response_json:
  {"name": "itu-t-fg-ai4h-del7-2", "s": "ITU-T recommendation on clinical evaluation methodologies for AI in healthcare. Establishes assessment criteria and validation approaches for health AI systems.", "n": 3, "nn": "Clinical validation framework is domain-specific; evaluation approaches have broader applicability", "m": 4, "mn": "ITU-T formal recommendation with structured evaluation criteria indicates maturity", "o": 3, "on": "Moderate overlap with ISO/IEC 23894 (risk management) on assessment and evaluation components", "mo": 3, "mon": "Specialized healthcare focus limits cross-domain adoption momentum", "r": 4, "rn": "Critical for healthcare AI; limited relevance outside medical domain", "c": ["Policy/governance", "AI safety/alignment", "Human-agent interaction"]}


draft_name: iso-iec-42001-2023
prompt_hash: 74b2bdb2c7c16747
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:43.512483+00:00
response_json:
  {"name": "iso-iec-42001-2023", "s": "ISO/IEC standard establishing comprehensive AI management system requirements covering governance, risk, and operational controls. Applies across organizational AI implementations.", "n": 4, "nn": "Systematic management framework approach is novel for AI; adapts established management system patterns to AI context", "m": 5, "mn": "Formal ISO/IEC standard released in 2023 indicates high maturity and international consensus", "o": 2, "on": "Complements rather than heavily overlaps; provides overarching framework that encompasses other standards", "mo": 5, "mon": "Strong momentum as foundational AI governance standard with broad organizational adoption potential", "r": 5, "rn": "Highly relevant across all AI deployment contexts and organizational sizes", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: iso-iec-22989-2022
prompt_hash: fc6500e6b8bb0792
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:43.522063+00:00
response_json:
  {"name": "iso-iec-22989-2022", "s": "ISO/IEC standard defining core AI concepts and establishing standardized terminology across the field. Foundational reference for AI concept consistency.", "n": 4, "nn": "Comprehensive terminology standardization addresses fragmentation in AI nomenclature", "m": 5, "mn": "Published ISO/IEC standard from 2022; represents mature consensus on AI conceptual framework", "o": 1, "on": "Minimal overlap; provides foundational definitions supporting other standards rather than duplicating content", "mo": 5, "mon": "Strong adoption momentum as fundamental reference for AI standards ecosystem", "r": 5, "rn": "Essential foundation for all AI-related work; critical for interoperability and communication", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-23894-2023
prompt_hash: 85607bc11adccb13
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:43.531923+00:00
response_json:
  {"name": "iso-iec-23894-2023", "s": "ISO/IEC guidance standard for managing risks in AI system development and deployment. Addresses identification, analysis, and mitigation of AI-specific risks.", "n": 4, "nn": "AI-specific risk management guidance extends traditional risk frameworks to AI domain characteristics", "m": 5, "mn": "Formal ISO/IEC standard released in 2023 with established risk management methodology", "o": 2, "on": "Moderate overlap with ISO/IEC 42001 on risk governance; provides specialized depth on risk management aspects", "mo": 5, "mon": "High momentum as critical component of AI safety and governance frameworks", "r": 5, "rn": "Highly relevant for responsible AI deployment across all organizational and domain contexts", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-23053-2022
prompt_hash: 7d9762345b9d8ef6
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:53.068032+00:00
response_json:
  {"name": "iso-iec-23053-2022", "s": "Establishes a generic framework for AI systems built on ML technology, defining the fundamental architecture and components. Serves as a foundational reference for understanding ML-based AI system structure.", "n": 3, "nn": "Early foundational framework; describes generic ML system architecture without specialized focus on novel domains", "m": 4, "mn": "Well-established ISO standard from 2022 with broad industry acceptance; mature and stable specification", "o": 3, "on": "Moderate overlap with 5338 and 5339 which build upon this framework; more generic than specialized", "mo": 3, "mon": "Published 2022; foundational but not driving significant recent innovation in the field", "r": 4, "rn": "Highly relevant as baseline reference for understanding ML-based AI system structures across domains", "c": ["Data formats/interop", "Other AI/agent"]}


draft_name: iso-iec-38507-2022
prompt_hash: 80279dccee31c2cc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:53.088435+00:00
response_json:
  {"name": "iso-iec-38507-2022", "s": "Provides organizational governance guidance for AI deployment, focusing on board and executive decision-making implications. Addresses strategic and risk management dimensions of AI adoption.", "n": 2, "nn": "Governance guidance is relatively well-established domain; limited novelty in approach", "m": 4, "mn": "Mature 2022 standard addressing established governance concerns with proven methodologies", "o": 2, "on": "Minimal overlap with technical standards; focuses on organizational governance rather than system architecture or processes", "mo": 3, "mon": "2022 publication; governance focus is steady but not accelerating in innovation", "r": 4, "rn": "Highly relevant for organizational decision-makers evaluating AI risk and compliance implications", "c": ["Policy/governance"]}


draft_name: iso-iec-5338-2023
prompt_hash: 793b08ac93a377a5
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:53.098665+00:00
response_json:
  {"name": "iso-iec-5338-2023", "s": "Defines standardized processes and activities for the complete AI system lifecycle from development through operation. Provides process-level guidance complementing architectural frameworks.", "n": 3, "nn": "Lifecycle process standards are established practice; adapts software engineering methodologies to AI domain", "m": 4, "mn": "Recent 2023 standard; incorporates evolving AI development practices with good maturity level", "o": 4, "on": "Significant overlap with 23053 (architecture) and 5339 (application guidance); builds on both", "mo": 4, "mon": "2023 publication shows continued standardization momentum in AI lifecycle management", "r": 4, "rn": "Highly relevant for practitioners managing AI system development and operational processes", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-5339-2024
prompt_hash: ac6c773f6b452f6d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:53.107604+00:00
response_json:
  {"name": "iso-iec-5339-2024", "s": "Provides practical guidance for applying AI within organizational contexts, including use case analysis and risk assessment frameworks. Bridges gap between frameworks and implementation.", "n": 3, "nn": "Application guidance frameworks are evolving; use case analysis and risk assessment methodologies are maturing but not novel", "m": 3, "mn": "2024 publication suggests active development; maturity depends on adoption and practical validation", "o": 4, "on": "High overlap with 5338 (processes), 23053 (framework), and 38507 (governance considerations)", "mo": 4, "mon": "2024 release indicates strong momentum in practical AI application standardization", "r": 5, "rn": "Highly relevant for organizations implementing AI, combining assessment and risk evaluation", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-42005-2025
prompt_hash: 48c14bde401dae07
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:10:53.117220+00:00
response_json:
  {"name": "iso-iec-42005-2025", "s": "Provides guidance for systematically assessing both positive and negative impacts of AI systems on organizations and stakeholders. Addresses impact evaluation methodology.", "n": 4, "nn": "Impact assessment methodology for AI is emerging domain; represents newer focus on holistic impact beyond technical safety", "m": 2, "mn": "2025 publication suggests early maturity; methodology likely still evolving with limited field validation", "o": 3, "on": "Moderate overlap with 5339 (risk assessment) and 38507 (governance risks); adds broader impact scope", "mo": 5, "mon": "Latest 2025 standard indicates strong current momentum in impact assessment as emerging priority", "r": 4, "rn": "Increasingly relevant as stakeholders demand broader impact visibility beyond technical measures", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: iso-iec-tr-24028-2020
prompt_hash: 4efae769b0ea1f22
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:04.465057+00:00
response_json:
  {"name": "iso-iec-tr-24028-2020", "s": "Foundational overview of trustworthiness in AI systems, covering key risks, challenges, and mitigation approaches. Establishes conceptual framework for understanding AI reliability and safety across domains.", "n": 3, "nn": "Early landscape overview with limited technical depth; provides broad framing rather than novel methodologies", "m": 3, "mn": "Technical report format indicates exploratory/informational status; predates more recent standardization work", "o": 4, "on": "Overlaps significantly with governance and safety themes in later standards, particularly TS 6254 and 12792", "mo": 3, "mon": "Older (2020) foundational work; superseded by more specific technical standards in 2024", "r": 4, "rn": "Relevant for establishing trustworthiness principles but lacks specific technical guidance for implementation", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-tr-24029-1-2021
prompt_hash: 63b3dbcaa732eb49
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:04.485456+00:00
response_json:
  {"name": "iso-iec-tr-24029-1-2021", "s": "Technical overview of neural network robustness properties and assessment methodologies. Focuses on evaluation approaches for understanding model behavior under adversarial and distributional challenges.", "n": 3, "nn": "Part 1 of multi-part series on robustness; provides background rather than novel assessment techniques", "m": 2, "mn": "Technical report status and 2021 date suggest early-stage guidance; likely superseded by more mature standards", "o": 3, "on": "Robustness relates to trustworthiness (24028) and explainability (TS 6254) but addresses distinct technical dimension", "mo": 2, "mon": "Limited momentum; no subsequent updates or related standards appear to build on this Part 1 framework", "r": 4, "rn": "Highly relevant for ML model evaluation and safety validation in AI systems", "c": ["AI safety/alignment", "Model serving/inference", "Other AI/agent"]}


draft_name: iso-iec-tr-24030-2021
prompt_hash: d1c6ce2eb09a4a12
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:04.494644+00:00
response_json:
  {"name": "iso-iec-tr-24030-2021", "s": "Compendium of representative AI use cases across multiple domains and application areas. Serves as reference for understanding practical AI deployment patterns and requirements.", "n": 2, "nn": "Use case collection provides domain grounding but limited analytical novelty; primarily organizational/reference material", "m": 3, "mn": "Technical report with wide scope; useful reference but lacks prescriptive or normative guidance", "o": 2, "on": "Unique positioning as use case reference; supports but doesn't overlap directly with robustness, explainability, or transparency standards", "mo": 2, "mon": "2021 publication with no apparent follow-up updates; static reference material rather than evolving guidance", "r": 3, "rn": "Useful context for understanding AI system diversity but limited direct relevance to technical implementation standards", "c": ["Other AI/agent", "Policy/governance"]}


draft_name: iso-iec-ts-6254-2024
prompt_hash: 9a4860493d946252
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:04.504006+00:00
response_json:
  {"name": "iso-iec-ts-6254-2024", "s": "Defines objectives and systematic approaches for achieving explainability in ML models and AI systems. Provides frameworks for making AI decisions interpretable and understandable to users.", "n": 4, "nn": "Recent (2024) work addressing critical explainability gap; likely incorporates newer research on interpretability methods", "m": 4, "mn": "Technical specification format with current publication date indicates mature, implementation-ready guidance", "o": 3, "on": "Explainability overlaps with transparency (12792) and trustworthiness (24028) concepts; complementary rather than redundant", "mo": 4, "mon": "2024 publication indicates active standardization momentum in explainability/interpretability space", "r": 5, "rn": "Highly relevant for responsible AI deployment, regulatory compliance (EU AI Act), and user trust", "c": ["AI safety/alignment", "Policy/governance", "Human-agent interaction", "Other AI/agent"]}


draft_name: iso-iec-12792-2024
prompt_hash: 2e25db030995e5f4
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:04.513206+00:00
response_json:
  {"name": "iso-iec-12792-2024", "s": "Establishes comprehensive taxonomy for AI system transparency, enabling structured classification and governance of disclosure practices. Supports organizational understanding and stakeholder communication about AI behavior.", "n": 4, "nn": "Novel taxonomy approach to transparency; 2024 timing suggests incorporation of recent transparency/governance developments", "m": 4, "mn": "Full standard (not technical report) with recent publication indicates mature, normative framework ready for adoption", "o": 3, "on": "Transparency taxonomy complements explainability (TS 6254) and trustworthiness (24028); distinct but related perspectives", "mo": 5, "mon": "2024 publication in active governance/transparency standardization wave; aligns with regulatory momentum", "r": 5, "rn": "Critical for regulatory compliance, stakeholder governance, and responsible AI frameworks; directly addresses transparency requirements", "c": ["Policy/governance", "Human-agent interaction", "AI safety/alignment", "Other AI/agent"]}


draft_name: iso-iec-2382-28-1995
prompt_hash: 1158de772e5c534f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:14.161002+00:00
response_json:
  {"name": "iso-iec-2382-28-1995", "s": "ISO/IEC standard defining basic vocabulary and concepts for artificial intelligence and expert systems. Provides foundational terminology for AI and knowledge-based systems in information technology contexts.", "n": 2, "nn": "Primarily definitional/standardization work; limited novel technical contributions beyond vocabulary codification", "m": 4, "mn": "Mature standard from 1995, well-established as reference material for AI terminology", "o": 3, "on": "Overlaps with general AI/agent concepts but provides baseline vocabulary across multiple related standards", "mo": 2, "mon": "Foundational reference work with limited active development momentum beyond periodic updates", "r": 2, "rn": "Limited relevance to modern agent protocols and distributed systems; focuses on historical AI/expert system terminology", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-2382-29-1999
prompt_hash: 2c441d92b7541d5a
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:14.182666+00:00
response_json:
  {"name": "iso-iec-2382-29-1999", "s": "ISO/IEC vocabulary standard for AI speech recognition and synthesis terminology. Establishes standardized definitions and concepts for speech-based AI systems.", "n": 2, "nn": "Standard vocabulary reference with limited technical innovation; primarily terminological alignment", "m": 4, "mn": "Established 1999 standard, mature and stable with accepted terminology", "o": 3, "on": "Speech-specific subset of broader AI vocabulary; some overlap with human-agent interaction domain", "mo": 2, "mon": "Legacy standard with limited momentum for advancement in modern speech AI era", "r": 2, "rn": "Moderate relevance to human-agent interaction but outdated relative to modern NLP/speech systems", "c": ["Data formats/interop", "Human-agent interaction"]}


draft_name: iso-iec-2382-31-1997
prompt_hash: 04eaba2f68173d9d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:14.192141+00:00
response_json:
  {"name": "iso-iec-2382-31-1997", "s": "ISO/IEC standard establishing vocabulary for machine learning terminology and concepts. Defines core ML concepts within the information technology vocabulary framework.", "n": 2, "nn": "Definitional standard; codifies existing ML terminology without advancing novel technical concepts", "m": 4, "mn": "Established 1997 standard with stable, widely-referenced definitions", "o": 3, "on": "Foundational ML vocabulary with potential overlap to model serving and autonomous systems domains", "mo": 2, "mon": "Limited active development; serves as reference baseline rather than innovation driver", "r": 3, "rn": "Moderate relevance as foundational vocabulary for ML-based agents and autonomous systems", "c": ["Data formats/interop", "Model serving/inference"]}


draft_name: iso-iec-2382-34-1999
prompt_hash: fd2f1ec838af4ac6
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:14.201327+00:00
response_json:
  {"name": "iso-iec-2382-34-1999", "s": "ISO/IEC vocabulary standard for neural network terminology and concepts in AI. Establishes standardized definitions for neural network systems and related AI applications.", "n": 2, "nn": "Terminology standardization work; provides vocabulary codification rather than technical innovation", "m": 3, "mn": "1999 standard; moderately mature but increasingly dated relative to modern deep learning advances", "o": 3, "on": "Neural network vocabulary with overlap to model serving and AI safety considerations", "mo": 1, "mon": "Minimal momentum; lacks engagement with modern deep learning and transformer-based systems", "r": 2, "rn": "Limited relevance to contemporary agent protocols; vocabulary outdated for modern neural architectures", "c": ["Data formats/interop", "Model serving/inference"]}


draft_name: iso-tr-15801-2004
prompt_hash: 3d66a3ca339dfbb3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:14.210538+00:00
response_json:
  {"name": "iso-tr-15801-2004", "s": "ISO technical report addressing trustworthiness, reliability, authenticity and integrity of electronically stored information across full document lifecycle. Applicable to imaging, workflow, and archival systems.", "n": 3, "nn": "Practical technical guidance on trust and integrity in electronic information systems; somewhat novel approach to lifecycle management", "m": 4, "mn": "Established 2004 technical report with mature guidance on information management practices", "o": 2, "on": "Minimal overlap with AI/agent protocol standards; focuses on document/data integrity rather than agent communication", "mo": 2, "mon": "Legacy technical report with limited momentum in modern distributed agent systems", "r": 2, "rn": "Low direct relevance to agent protocols; potentially applicable to trusted data provenance in agent systems", "c": ["Data formats/interop", "AI safety/alignment", "Policy/governance"]}


draft_name: iso-np-20319
prompt_hash: 8ee3c787fac6b6f5
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:26.369328+00:00
response_json:
  {"name": "iso-np-20319", "s": "Specifies profiles for Ethernet-based control networks supporting real-time communication and autonomous decentralized systems. Addresses industrial networking standards for distributed control architectures.", "n": 2, "nn": "Incremental standardization of existing Ethernet control concepts; limited novel architectural contributions.", "m": 2, "mn": "Early-stage ISO new proposal (NP) status; standard development incomplete with no publication date established.", "o": 3, "on": "Moderate overlap with existing industrial Ethernet standards (PROFINET, EtherCAT); fills specific niche for autonomous decentralized control.", "mo": 1, "mon": "No publication date; minimal evidence of active development or stakeholder momentum in abstracts.", "r": 3, "rn": "Relevant for industrial automation but limited applicability to AI/autonomous agent systems beyond legacy control networks.", "c": ["Autonomous netops", "Data formats/interop"]}


draft_name: iso-24801-2-2007
prompt_hash: 0543228bd743f150
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:26.391156+00:00
response_json:
  {"name": "iso-24801-2-2007", "s": "Establishes competency requirements and training standards for recreational scuba divers achieving Level 2 (Autonomous diver) certification. Specifies assessment criteria and conditions for training delivery.", "n": 1, "nn": "Minimal relevance to technical standards; domain-specific human certification in recreational diving with no AI/agent systems involvement.", "m": 5, "mn": "Published standard (2007) with established certification framework and clear implementation pathways.", "o": 5, "on": "Completely distinct domain; heavy overlap only with other recreational diving certification standards (ISO 24800 series).", "mo": 1, "mon": "Established standard from 2007; no indication of new momentum or updates in the abstract.", "r": 1, "rn": "Not relevant to AI, autonomous systems, or agent-based technologies; purely human recreational skill certification.", "c": ["Human-agent interaction"]}


draft_name: iso-iec-42006-2025
prompt_hash: 7bd91c621891942c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:26.401277+00:00
response_json:
  {"name": "iso-iec-42006-2025", "s": "Specifies auditing and certification requirements for bodies assessing AI management systems (AIMS) per ISO/IEC 42001. Establishes conformity assessment procedures and competency criteria for third-party certification bodies.", "n": 4, "nn": "Novel as formalized certification standard for AI management systems; extends ISO/IEC 17021-1 into emerging AI governance domain.", "m": 4, "mn": "Recent publication (2025) with clear normative references and implementation framework based on established conformity assessment standards.", "o": 2, "on": "Builds on established ISO/IEC 17021-1 framework but novel application to AI systems; limited overlap with existing AI standards.", "mo": 5, "mon": "Published July 2025; represents active standardization momentum in AI governance and certification.", "r": 5, "rn": "Highly relevant to AI safety, governance, and institutional trust frameworks; addresses emerging regulatory demands for AI system accountability.", "c": ["AI safety/alignment", "Policy/governance", "Agent identity/auth"]}


draft_name: iso-22373-2025
prompt_hash: 408de2708650a059
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:26.410860+00:00
response_json:
  {"name": "iso-22373-2025", "s": "Provides framework for establishing trustworthy supply and value chains through authenticity, integrity, and trust verification of products and documents. Includes interoperable data structures for stakeholder information exchange.", "n": 3, "nn": "Novel integration of supply chain trust with generic interoperability requirements; applicable beyond traditional product authentication.", "m": 4, "mn": "Recently published (November 2025) with defined framework, data structure specifications, and stakeholder guidelines.", "o": 2, "on": "Overlaps with product authentication and supply chain standards but novel in establishing generic trust framework across all product types.", "mo": 5, "mon": "Very recent publication (2025) indicates active standardization and organizational focus on supply chain trustworthiness.", "r": 4, "rn": "Relevant for distributed autonomous systems requiring inter-agent trust verification and supply chain authentication; applicable to AI system provenance.", "c": ["Data formats/interop", "Policy/governance", "Agent identity/auth"]}


draft_name: iso-tr-15801-2009
prompt_hash: e1c2c1fc5c9898b8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:26.419714+00:00
response_json:
  {"name": "iso-tr-15801-2009", "s": "Provides recommendations for implementing trustworthy and reliable document management systems storing electronic information. Addresses policies, procedures, technology, and audit requirements ensuring information integrity over time.", "n": 2, "nn": "Incremental guidance on document management reliability; standard approach to long-term information preservation without novel methodologies.", "m": 4, "mn": "Published technical report (2009) with established implementation frameworks; stable but aging standard.", "o": 4, "on": "Significant overlap with ISO 14721 (OAIS) and other digital preservation standards; addresses similar trustworthiness concerns.", "mo": 1, "mon": "Published 2009; no evidence of updates or renewed momentum in recent years.", "r": 2, "rn": "Limited relevance to autonomous agents; tangentially relevant for agent audit logging and trustworthiness documentation.", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-39003-2023
prompt_hash: 4fbb07d7c8ac9dd2
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:37.634269+00:00
response_json:
  {"name": "iso-39003-2023", "s": "Provides guidance on ethical considerations for level 5 autonomous vehicles regarding road traffic safety decision-making. Outlines protocol guidelines for designers/manufacturers to self-certify ethical aspects without prescribing specific technical controls or outcomes.", "n": 4, "nn": "Addresses emerging ethical framework needs for fully autonomous vehicles, though ethical guidance for AVs is becoming more common", "m": 3, "mn": "Published standard with defined scope, but lacks enforcement mechanisms and technical precision", "o": 2, "on": "Unique focus on ethical guidance; some overlap with broader AV safety standards", "mo": 2, "mon": "Published but represents early-stage ethical guidance; limited evidence of industry adoption or integration", "r": 3, "rn": "Relevant for AV safety governance but limited direct technical applicability", "c": ["Policy/governance", "AI safety/alignment", "Human-agent interaction"]}


draft_name: iso-ts-12813-2009
prompt_hash: a1ed8ab5701d39f0
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:37.654671+00:00
response_json:
  {"name": "iso-ts-12813-2009", "s": "Defines short-range communication requirements for compliance checking between vehicle on-board equipment and roadside interrogators in autonomous electronic toll collection systems. Specifies data syntax and semantics for verifying toll payment compliance.", "n": 2, "nn": "Incremental extension of toll collection standards; compliance checking protocols are well-established", "m": 4, "mn": "Published technical specification with clear scope and mature data definitions", "o": 4, "on": "Heavy overlap with ISO 17573 and related EFC standards; part of established toll collection ecosystem", "mo": 2, "mon": "Published 2009; part of legacy toll system architecture, limited recent activity", "r": 2, "rn": "Narrow applicability to toll collection domain; limited relevance to broader autonomous systems", "c": ["Data formats/interop", "Agent identity/auth", "A2A protocols"]}


draft_name: iso-ts-17575-1-2010
prompt_hash: 6f23aa9854b4a3fa
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:37.664872+00:00
response_json:
  {"name": "iso-ts-17575-1-2010", "s": "Defines data exchange format and semantics between vehicle on-board equipment and backend systems in autonomous toll collection. Specifies reporting, contract, road usage, account, and compliance checking data elements for charge report generation.", "n": 2, "nn": "Standard data format definition for toll systems; similar specifications exist across EFC implementations", "m": 4, "mn": "Published technical specification with comprehensive data definitions and clear scope", "o": 5, "on": "Part of integrated ISO/TS 17575 suite; heavy overlap with Parts 2 and 3; extends ISO 12813", "mo": 2, "mon": "Published 2010; foundational for EFC systems but limited evidence of recent evolution", "r": 2, "rn": "Domain-specific to electronic fee collection; limited applicability beyond toll systems", "c": ["Data formats/interop", "A2A protocols"]}


draft_name: iso-ts-17575-2-2010
prompt_hash: a5cf1cf3aa598454
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:37.676012+00:00
response_json:
  {"name": "iso-ts-17575-2-2010", "s": "Specifies abstract API definition for conveying ISO/TS 17575-1 data elements over various communication stacks and media, focusing on mobile communication links. Defines semantic specifications with concrete API examples provided in annexes.", "n": 2, "nn": "Communication API specification for toll systems; generic communication patterns are well-established", "m": 4, "mn": "Published technical specification with abstract and concrete API definitions", "o": 5, "on": "Integral component of ISO/TS 17575 suite; directly implements Part 1 specifications", "mo": 2, "mon": "Published 2010; limited recent activity or updates to communication standards", "r": 2, "rn": "Technical specification for toll collection communication; narrow domain applicability", "c": ["Data formats/interop", "A2A protocols"]}


draft_name: iso-ts-17575-3-2011
prompt_hash: 6c1590fc3e43137c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:37.685876+00:00
response_json:
  {"name": "iso-ts-17575-3-2011", "s": "Defines context data for autonomous electronic fee collection systems, specifying geographical objects and charging/reporting rules. Transfers system configuration data to vehicle on-board equipment to direct data collection and reporting behavior.", "n": 2, "nn": "Toll system configuration data standard; incremental component of established EFC architecture", "m": 4, "mn": "Published technical specification with defined context data requirements", "o": 5, "on": "Complete integration with ISO/TS 17575-1 and 17575-2; forms unified EFC specification suite", "mo": 2, "mon": "Published 2011; part of stable toll collection standards with minimal recent evolution", "r": 2, "rn": "Specialized data format for toll system configuration; limited relevance outside EFC", "c": ["Data formats/interop", "A2A protocols"]}


draft_name: iso-ts-17575-4-2011
prompt_hash: 56e9771626af6446
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:46.849547+00:00
response_json:
  {"name": "iso-ts-17575-4-2011", "s": "Defines information exchange protocols for electronic fee collection systems operating multiple overlapping toll regimes. Specifies functional details and data elements for autonomous on-board equipment to interact with backend systems while handling complex charge rule coordination.", "n": 3, "nn": "Specific to toll collection domain with moderate technical novelty in multi-regime coordination", "m": 4, "mn": "Published ISO/TS standard from 2011 with established maturity", "o": 2, "on": "Minimal overlap with IoT/autonomous systems drafts; domain-specific to transportation", "mo": 1, "mon": "Older standard with limited recent activity signals", "r": 2, "rn": "Relevant primarily to electronic toll collection systems, limited broader applicability", "c": ["A2A protocols", "Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-30147-2021
prompt_hash: d1384ba0900ecd24
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:46.870435+00:00
response_json:
  {"name": "iso-iec-30147-2021", "s": "Establishes methodology framework for assessing trustworthiness of IoT systems and services. Provides standardized approach to evaluating system reliability, security, and dependability in IoT contexts.", "n": 3, "nn": "Moderate novelty in formalizing trustworthiness assessment methodologies for IoT", "m": 4, "mn": "Published ISO/IEC standard from 2021, recent and established", "o": 3, "on": "Overlaps with ISO/IEC TS 30149 on trustworthiness principles; related to IoT architecture standards", "mo": 3, "mon": "Recent publication suggests active standards development in IoT trustworthiness", "r": 4, "rn": "Relevant to autonomous systems trust frameworks and agent reliability assessment", "c": ["AI safety/alignment", "Agent identity/auth", "Policy/governance"]}


draft_name: iso-iec-ts-30149-2024
prompt_hash: 9197ab8392cbd051
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:46.881550+00:00
response_json:
  {"name": "iso-iec-ts-30149-2024", "s": "Provides foundational principles for IoT trustworthiness aligned with ISO/IEC 30141 reference architecture. Establishes conceptual framework for implementing trustworthy IoT systems and services.", "n": 2, "nn": "Low novelty as principled framework document building on existing architecture reference", "m": 5, "mn": "Very recent 2024 standard indicating active standardization momentum", "o": 4, "on": "Heavy overlap with ISO/IEC 30147 on trustworthiness; both build on 30141 reference architecture", "mo": 5, "mon": "Latest publication in active IoT trustworthiness standards development track", "r": 4, "rn": "Highly relevant to autonomous agent design and trustworthy IoT system governance", "c": ["AI safety/alignment", "Agent identity/auth", "Policy/governance"]}


draft_name: iso-iec-30184-2024
prompt_hash: 0bd709545c8caf04
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:46.891778+00:00
response_json:
  {"name": "iso-iec-30184-2024", "s": "Specifies requirements, architecture, and operational procedures for autonomous identification of IoT objects in connected home environments. Defines functional entities, interfaces, and operation procedures while excluding data format and identifier assignment details.", "n": 3, "nn": "Moderate novelty in connected home IoT identification architecture and requirements", "m": 5, "mn": "Very recent 2024 standard indicating mature IoT standardization ecosystem", "o": 3, "on": "Moderate overlap with other ISO/IEC 30000-series IoT standards on identity and architecture", "mo": 5, "mon": "Latest standards activity shows strong momentum in IoT autonomous systems", "r": 4, "rn": "Relevant to agent identity/authentication and autonomous system discovery in IoT contexts", "c": ["Agent identity/auth", "Agent discovery/reg", "Data formats/interop", "Autonomous netops"]}


draft_name: iso-ts-13141-2010
prompt_hash: a1fdb3e46e599784
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:46.900452+00:00
response_json:
  {"name": "iso-ts-13141-2010", "s": "Establishes short-range communication requirements for location augmentation in autonomous electronic fee collection systems. Specifies security mechanisms protecting on-board equipment from false road-side equipment and defines Application Data Unit attributes for localization services.", "n": 3, "nn": "Moderate novelty in specialized short-range communication for EFC localization augmentation", "m": 4, "mn": "Published ISO/TS standard from 2010 with established maturity despite age", "o": 1, "on": "Unique to toll collection domain; minimal overlap with other drafts", "mo": 1, "mon": "Older standard with limited signals of recent activity or updates", "r": 2, "rn": "Highly specialized to electronic toll collection; limited broader autonomous systems relevance", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: iso-awi-29999
prompt_hash: 0094fb43bed0e1eb
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:57.250764+00:00
response_json:
  {"name": "iso-awi-29999", "s": "Proposes ethical guidelines for applying AI technology in education and learning services across all organization types. Addresses general principles, integrated frameworks, and essential actions for responsible AI deployment in educational contexts.", "n": 3, "nn": "Ethics in education-specific AI is somewhat novel, though general AI ethics standards exist; educational focus is distinctive", "m": 2, "mn": "Appears to be in early stages (AWI status); abstract lacks implementation details and concrete mechanisms", "o": 2, "on": "Overlaps with general AI ethics frameworks but education-specific application differentiates it from broader standards", "mo": 2, "mon": "Limited momentum indicators; no publication date suggesting early-stage development", "r": 3, "rn": "Relevant to education sector stakeholders but narrower applicability than cross-sector AI governance standards", "c": ["Policy/governance", "AI safety/alignment", "Human-agent interaction"]}


draft_name: iso-16363-2012
prompt_hash: 55943ea2e6f8b893
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:57.272198+00:00
response_json:
  {"name": "iso-16363-2012", "s": "Defines recommended practices for assessing trustworthiness of digital repositories across all types. Provides certification basis for evaluating repository integrity and reliability.", "n": 2, "nn": "Established standard for repository certification; not AI-specific but foundational for digital trust infrastructure", "m": 5, "mn": "Published in 2012; mature, widely-adopted standard with established assessment methodologies", "o": 2, "on": "Minimal overlap with AI-specific standards; addresses general digital repository trust rather than AI systems", "mo": 3, "mon": "Mature standard with established use cases; not cutting-edge but stable reference for digital trust", "r": 2, "rn": "Relevant primarily to digital preservation and data management; limited direct relevance to AI governance", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-dis-27090
prompt_hash: 706568134b8131f0
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:57.290468+00:00
response_json:
  {"name": "iso-iec-dis-27090", "s": "Addresses security threats and compromises specific to AI systems throughout their lifecycle. Provides organizations guidance on understanding consequences and detection/mitigation strategies for AI-specific security risks.", "n": 4, "nn": "Novel focus on AI-specific security threats distinct from general cybersecurity; emerging area with growing importance", "m": 2, "mn": "DIS (Draft International Standard) status indicates early development phase; not yet finalized", "o": 3, "on": "Moderate overlap with general cybersecurity standards (ISO 27000 series) but AI-threat specificity is differentiated", "mo": 4, "mon": "Strong momentum in AI security standardization; timely response to emerging AI deployment risks", "r": 4, "rn": "High relevance to organizations deploying AI systems; addresses critical security gap in AI governance", "c": ["AI safety/alignment", "Policy/governance", "Agent identity/auth"]}


draft_name: iso-iec-dis-27091
prompt_hash: f3039523b2b56d0b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:57.302236+00:00
response_json:
  {"name": "iso-iec-dis-27091", "s": "Provides guidance for organizations to address privacy risks in AI systems and machine learning models across their lifecycle. Establishes mechanisms for identifying, evaluating, and treating privacy-specific risks.", "n": 4, "nn": "Novel focus on privacy risks in ML/AI systems; distinct from general privacy standards and addresses lifecycle concerns", "m": 2, "mn": "DIS status indicates early development; complementary to ISO 27090 but not yet finalized", "o": 3, "on": "Moderate overlap with ISO 27001/27002 privacy frameworks but AI/ML-specific application adds differentiation", "mo": 4, "mon": "Strong momentum reflecting urgent need for AI privacy guidance; addresses regulatory and ethical imperatives", "r": 4, "rn": "High relevance given privacy concerns in AI/ML deployment; critical for GDPR and emerging AI regulations", "c": ["AI safety/alignment", "Policy/governance", "Human-agent interaction"]}


draft_name: iso-16919-2014
prompt_hash: 36d9332c6cf3d2cd
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:11:57.323859+00:00
response_json:
  {"name": "iso-16919-2014", "s": "Specifies requirements for bodies providing audit and certification of digital repositories using ISO 16363 standards. Defines qualifications, assessment processes, and accreditation support for certification organizations.", "n": 1, "nn": "Not novel; establishes operational/procedural standards for existing ISO 16363 certification infrastructure", "m": 5, "mn": "Published 2014; mature supporting standard with established audit certification frameworks", "o": 5, "on": "Heavy overlap with ISO 16363; companion standard for implementing and certifying against that framework", "mo": 2, "mon": "Stable mature standard; limited momentum as supporting infrastructure document", "r": 1, "rn": "Minimal relevance to AI governance; focuses on digital repository audit procedures only", "c": ["Policy/governance", "Data formats/interop"]}


draft_name: iso-24801-2-2014
prompt_hash: e474aa44dbc42de8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:08.149409+00:00
response_json:
  {"name": "iso-24801-2-2014", "s": "Specifies competencies and evaluation criteria for scuba divers seeking Level 2 (Autonomous diver) qualification. Defines training conditions and requirements aligned with recreational diving service standards.", "n": 2, "nn": "Domain-specific certification standard with limited relevance to autonomous systems in technical/digital contexts", "m": 5, "mn": "Mature ISO standard published in 2014 with established implementation practices", "o": 1, "on": "Unique focus on recreational diving; no overlap with other autonomous systems standards", "mo": 1, "mon": "Static standard in niche application domain; unlikely to evolve significantly", "r": 1, "rn": "Not relevant to autonomous agents, AI systems, or network operations", "c": ["Other AI/agent"]}


draft_name: iso-17757-2017
prompt_hash: a66540aecef13f84
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:08.169411+00:00
response_json:
  {"name": "iso-17757-2017", "s": "Establishes safety requirements for autonomous and semi-autonomous machines in earth-moving and mining operations. Covers system safety, hardware, software, infrastructure, and lifecycle considerations.", "n": 3, "nn": "Addresses autonomous physical systems but focuses narrowly on industrial machinery safety rather than digital agents or protocols", "m": 4, "mn": "Published 2017 with comprehensive safety framework; industry-specific maturity", "o": 2, "on": "Minimal overlap; distinct from autonomous network/agent systems covered in other standards", "mo": 2, "mon": "Specialized industrial standard; moderate evolution potential as autonomous machinery advances", "r": 1, "rn": "Limited relevance to autonomous agents, network systems, or digital governance", "c": ["Other AI/agent"]}


draft_name: iso-18829-2017
prompt_hash: 1abd03aa901457cb
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:08.179486+00:00
response_json:
  {"name": "iso-18829-2017", "s": "Establishes assessment methodology for evaluating trustworthiness and reliability of electronically stored information in ECM/EDRM systems. Defines compliance evaluation procedures for records management environments.", "n": 2, "nn": "Focuses on document management system evaluation rather than autonomous agents or dynamic systems", "m": 4, "mn": "Published 2017 as methodology standard building on prior trustworthiness frameworks", "o": 2, "on": "Some tangential relevance to data formats/interop and governance but primarily document-centric", "mo": 2, "mon": "Incremental evolution likely as ESI environments and compliance needs evolve", "r": 2, "rn": "Minimal relevance; tangentially relates to data governance but not autonomous systems", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-ts-13141-2010-cor-1-2013
prompt_hash: cf492d5ce22955af
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:08.190434+00:00
response_json:
  {"name": "iso-ts-13141-2010-cor-1-2013", "s": "Technical corrigendum to standard addressing localization augmentation communication for autonomous systems in electronic fee collection context.", "n": 2, "nn": "Narrow technical correction with limited scope; specialized application domain (toll collection)", "m": 3, "mn": "Corrigendum to 2010 standard; maintenance-level maturity rather than development", "o": 3, "on": "Related to autonomous systems communication but highly specialized; some overlap with A2A protocols conceptually", "mo": 1, "mon": "Corrigendum indicates aging standard with limited momentum for new development", "r": 2, "rn": "Niche relevance to toll/fee collection systems; minimal broader applicability", "c": ["A2A protocols", "Autonomous netops"]}


draft_name: iso-ts-17575-1-2010-cor-1-2013
prompt_hash: 503b286e71377d98
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:08.200693+00:00
response_json:
  {"name": "iso-ts-17575-1-2010-cor-1-2013", "s": "Technical corrigendum to Part 1 of standard defining application interfaces for autonomous systems in electronic fee collection charging systems.", "n": 2, "nn": "Corrigendum to interface definition standard; specialized to toll/charging domain with limited generalization", "m": 3, "mn": "2010 standard with 2013 correction; maintenance-level rather than active development", "o": 3, "on": "Related to autonomous system interfaces and data formats but highly domain-specific; moderate conceptual overlap with data formats/interop", "mo": 1, "mon": "Aging corrigendum with minimal indication of active development or adoption momentum", "r": 2, "rn": "Limited relevance; application-specific to electronic fee collection infrastructure", "c": ["Data formats/interop", "A2A protocols", "Autonomous netops"]}


draft_name: iso-ts-17575-3-2011-cor-1-2013
prompt_hash: 58ad50ea045a2f22
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:19.254018+00:00
response_json:
  {"name": "iso-ts-17575-3-2011-cor-1-2013", "s": "Technical corrigendum to ISO/TS 17575-3:2011 addressing context data definitions for electronic fee collection in autonomous toll systems. Corrects and clarifies data exchange specifications between Front End and Back End systems.", "n": 2, "nn": "Corrigendum to existing standard; primarily corrections rather than novel contributions", "m": 5, "mn": "Formally published ISO technical corrigendum with established committee oversight (ISO/TC 204)", "o": 4, "on": "Heavy overlap with iso-17575-3-2016; represents earlier version of same specification", "mo": 2, "mon": "Superseded by 2016 version; represents legacy technical clarification", "r": 3, "rn": "Relevant for toll systems but limited broader applicability; specific to EFC context data", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-17575-1-2016
prompt_hash: 5145ed769611eaaa
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:19.274043+00:00
response_json:
  {"name": "iso-17575-1-2016", "s": "Defines data exchange formats and semantics for charging between Front End (OBE) and Back End systems in autonomous toll schemes. Specifies charge reports, account management, security, and versioning data elements.", "n": 2, "nn": "Domain-specific standardization of existing toll collection concepts; incremental evolution from prior versions", "m": 5, "mn": "Published ISO standard with mature governance structure and committee oversight", "o": 3, "on": "Moderate overlap with other ISO 17575 parts; part of coherent standard family", "mo": 3, "mon": "Established standard but specific to narrow EFC domain; limited momentum beyond toll operators", "r": 2, "rn": "Domain-specific relevance to electronic fee collection; minimal relevance to general autonomous agent systems", "c": ["Data formats/interop", "A2A protocols", "Agent identity/auth"]}


draft_name: iso-17575-2-2016
prompt_hash: dbca0cc82bcc101e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:19.283498+00:00
response_json:
  {"name": "iso-17575-2-2016", "s": "Specifies communication protocols and APIs for conveying ISO 17575 data structures over various communication stacks and media. Defines medium-independent abstract API for Front End and Back End system integration.", "n": 2, "nn": "Standard API abstraction for toll system communication; incremental addition to modular standard suite", "m": 5, "mn": "Formally published ISO standard with established technical committee (ISO/TC 204) governance", "o": 3, "on": "Integral part of ISO 17575 family; overlaps with other parts in scope and context", "mo": 2, "mon": "Narrow domain focus limits broader adoption; limited evolution momentum", "r": 2, "rn": "Relevant for toll system architects; minimal applicability to general autonomous agent communication", "c": ["A2A protocols", "Data formats/interop"]}


draft_name: iso-17575-3-2016
prompt_hash: ac838ac504eec9c6
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:19.292444+00:00
response_json:
  {"name": "iso-17575-3-2016", "s": "Defines content, semantics, and format of context data exchanged between Front End and Back End in autonomous toll systems. Specifies tariff information, charging rules, vehicle liability, and charge report requirements.", "n": 2, "nn": "Mature specification of toll context data structures; iterative refinement from 2011 corrigendum version", "m": 5, "mn": "Published ISO standard with formal committee structure and governance", "o": 4, "on": "Direct successor to iso-ts-17575-3-2011-cor-1-2013; substantial overlap with earlier version", "mo": 2, "mon": "Stable mature standard; limited ongoing momentum beyond maintenance", "r": 2, "rn": "Specialized relevance to EFC systems; limited broader applicability to general autonomous systems", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-dis-17575-4
prompt_hash: 3ccf6fab1a2fbed4
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:19.301979+00:00
response_json:
  {"name": "iso-dis-17575-4", "s": "Draft ISO standard addressing roaming specifications for autonomous electronic fee collection systems. Extends ISO 17575 framework to support cross-border and multi-operator toll scheme interoperability.", "n": 3, "nn": "Adds roaming capability to EFC framework; represents forward extension to established standard family", "m": 2, "mn": "Draft status (DIS) indicates pre-publication; undergoing formal standardization process", "o": 3, "on": "Integral extension to ISO 17575 family; inherent overlap with parts 1-3", "mo": 3, "mon": "Draft status suggests active development; roaming is emerging requirement in EFC ecosystem", "r": 2, "rn": "Specialized relevance to multi-operator toll schemes; narrow domain applicability", "c": ["Data formats/interop", "Agent discovery/reg", "A2A protocols"]}


draft_name: iso-12813-2015
prompt_hash: 9d726441bb47d090
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:29.315954+00:00
response_json:
  {"name": "iso-12813-2015", "s": "Defines short-range communication requirements for compliance checking between vehicle on-board equipment and roadside interrogators in autonomous electronic toll collection systems. Specifies data syntax and semantics for verifying toll obligations and OBE performance without writing to vehicle systems.", "n": 2, "nn": "Specialized domain standard for toll systems; compliance checking communication is specific but not broadly innovative", "m": 5, "mn": "Published ISO standard from 2015; fully mature specification", "o": 2, "on": "Minimal overlap; highly specialized to EFC domain with unique compliance-checking requirements", "mo": 1, "mon": "Mature standard with no indication of active development or updates", "r": 2, "rn": "Relevant to autonomous toll systems but narrow applicability; not directly relevant to general autonomous agents or AI systems", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: iso-13141-2015
prompt_hash: 104652ac81d728be
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:29.339585+00:00
response_json:
  {"name": "iso-13141-2015", "s": "Establishes short-range communication requirements for localization augmentation in autonomous electronic fee collection systems. Specifies location/heading information provision and security mechanisms to protect OBE from false roadside equipment manipulation.", "n": 2, "nn": "Domain-specific standard for toll system localization; technical but incremental contribution", "m": 5, "mn": "Published ISO standard from 2015; fully mature specification", "o": 3, "on": "Some overlap with iso-12813-2015 in EFC context and DSRC communication; both are toll-specific standards", "mo": 1, "mon": "Mature standard with no indication of active development or updates", "r": 2, "rn": "Relevant to autonomous vehicle localization in toll contexts but limited broader applicability to general autonomous systems", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: iso-tr-15801-2017
prompt_hash: 9432edb9d6d7c6ce
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:29.350051+00:00
response_json:
  {"name": "iso-tr-15801-2017", "s": "Provides recommendations for implementing information management systems that store and provide electronically stored information in trustworthy and reliable manner over time. Focuses on policies, procedures, technology and audit requirements to maintain ESI trustworthiness.", "n": 2, "nn": "General guidance document for ESI trustworthiness; not novel methodology but practical recommendations", "m": 4, "mn": "Published technical report from 2017; mature but broader scope allows for continued evolution", "o": 1, "on": "Unique focus on trustworthy information storage; minimal overlap with other documents", "mo": 2, "mon": "Published TR with no clear update trajectory; moderate relevance suggests potential for incremental updates", "r": 3, "rn": "Relevant to autonomous agent data integrity and audit requirements but not specific to agent systems", "c": ["Policy/governance", "Data formats/interop"]}


draft_name: iso-pwi-20531
prompt_hash: 96f6164ed8cad93e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:29.359746+00:00
response_json:
  {"name": "iso-pwi-20531", "s": "Specifies test methods to evaluate the performance of autonomous braking systems in road vehicles. Addresses autonomous vehicle safety validation.", "n": 2, "nn": "Standard test methodology for autonomous vehicle safety; important but not conceptually novel", "m": 1, "mn": "PWI (Preliminary Work Item) status indicates early development stage; not yet published", "o": 1, "on": "Unique focus on braking system performance testing; no meaningful overlap with other documents", "mo": 3, "mon": "Active development as PWI suggests ongoing committee work and momentum", "r": 3, "rn": "Relevant to autonomous vehicle safety validation but narrow focus on specific subsystem", "c": ["Policy/governance"]}


draft_name: iso-iec-20546-2019
prompt_hash: 69d6635650457038
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:29.368558+00:00
response_json:
  {"name": "iso-iec-20546-2019", "s": "Provides terminology, definitions, and conceptual overview of big data field. Establishes foundational vocabulary for big data standards and clarifies relationship between big data and related technical areas.", "n": 3, "nn": "Foundational vocabulary work provides useful standardization but represents incremental consolidation rather than novel concepts", "m": 5, "mn": "Published ISO/IEC standard from 2019; mature specification with established vocabulary", "o": 1, "on": "Unique focus on big data terminology; minimal overlap with other specialized domain standards", "mo": 2, "mon": "Published standard with vocabulary focus suggests stable but potentially slow update cycle", "r": 2, "rn": "Relevant to autonomous systems handling large data volumes but is generic data terminology rather than agent-specific", "c": ["Data formats/interop"]}


draft_name: iso-pwi-20554
prompt_hash: fa9c16a88e5fe2f2
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:40.098106+00:00
response_json:
  {"name": "iso-pwi-20554", "s": "Establishes test methods for evaluating autonomous vehicle braking system performance. Focuses on safety validation and standardized testing protocols for AV critical systems.", "n": 3, "nn": "Incremental standards work on AV safety testing; addresses known gap in braking system evaluation methodology", "m": 4, "mn": "PWI stage indicates early development; builds on established ISO/TC 22 vehicle safety framework", "o": 2, "on": "Minimal overlap with other drafts; specific technical focus on braking validation", "mo": 2, "mon": "Early stage (PWI) with unclear timeline; represents ongoing standardization effort", "r": 4, "rn": "Directly relevant to AV safety assurance and regulatory compliance requirements", "c": ["Policy/governance", "Human-agent interaction"]}


draft_name: iso-pwi-20800
prompt_hash: 0557833b8b4515e5
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:40.118559+00:00
response_json:
  {"name": "iso-pwi-20800", "s": "Specifies calibration methods for autonomous underwater acoustic recording systems. Establishes metrological standards for autonomous sensor systems in marine environments.", "n": 2, "nn": "Domain-specific technical standard; limited novelty beyond applying existing calibration principles to autonomous recorders", "m": 3, "mn": "PWI stage; represents niche standardization work in underwater acoustics domain", "o": 1, "on": "Unique focus on underwater acoustic systems; minimal overlap with other autonomous vehicle/agent standards", "mo": 1, "mon": "Early stage development with limited visibility; specialized application area", "r": 1, "rn": "Low relevance to broader autonomous vehicle/agent ecosystem; highly specialized domain", "c": ["Data formats/interop", "Autonomous netops"]}


draft_name: iso-37168-2022
prompt_hash: e7cc7912aba3263f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:40.129843+00:00
response_json:
  {"name": "iso-37168-2022", "s": "Provides implementation guidance for Electric, Connected, and Autonomous Vehicles (eCAVs) in on-demand shared mobility services. Focuses on staged deployment for responsive transportation and delivery.", "n": 4, "nn": "Addresses emerging use case of shared autonomous vehicles for responsive services; integrates electrification and connectivity dimensions", "m": 5, "mn": "Published standard (2022); represents mature guidance from ISO standardization process", "o": 3, "on": "Moderate overlap with ISO 37181; distinguished by focus on shared on-demand services vs. public road autonomous vehicles", "mo": 5, "mon": "Recently published with clear governance framework; active standardization momentum in smart transportation", "r": 4, "rn": "Highly relevant to autonomous vehicle deployment strategy and multi-stakeholder coordination", "c": ["Policy/governance", "Agent discovery/reg", "Human-agent interaction"]}


draft_name: iso-37181-2022
prompt_hash: c8c2b0e31d066ee3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:40.139634+00:00
response_json:
  {"name": "iso-37181-2022", "s": "Establishes guidelines for introducing and organizing autonomous vehicles on public roads. Addresses safety enhancement, urban challenges, and deployment as operational systems.", "n": 4, "nn": "Comprehensive framework covering governance, safety, and organizational aspects of AV deployment; complements technical standards", "m": 5, "mn": "Published standard (2022); mature, consensus-based guidance from international committee", "o": 3, "on": "Moderate overlap with ISO 37168; distinguished by focus on public road operations vs. shared on-demand services", "mo": 5, "mon": "Recently published with active ISO/TC 211 engagement; strong momentum for smart city infrastructure standards", "r": 5, "rn": "Highly relevant to autonomous vehicle governance, policy frameworks, and multi-stakeholder coordination", "c": ["Policy/governance", "Agent discovery/reg", "Human-agent interaction"]}


draft_name: iso-12813-2015-amd-1-2017
prompt_hash: 3ec8e30fac6ada30
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:40.149446+00:00
response_json:
  {"name": "iso-12813-2015-amd-1-2017", "s": "Amendment to electronic fee collection standard addressing compliance communication for autonomous systems. Extends fee collection protocols to support autonomous vehicle integration.", "n": 2, "nn": "Incremental amendment applying existing fee collection standards to autonomous systems; limited conceptual novelty", "m": 4, "mn": "Published amendment (2017); mature, established standard with minor updates for autonomy", "o": 1, "on": "Unique focus on fee collection protocols; minimal overlap with other autonomous vehicle standards", "mo": 3, "mon": "Established standard with amendment; moderate momentum in tolling/fee collection domain", "r": 2, "rn": "Specialized relevance to tolling systems; limited application to broader autonomous vehicle ecosystem", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: iso-13141-2015-amd-1-2017
prompt_hash: cf28d6cb60a43a3e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:49.929492+00:00
response_json:
  {"name": "iso-13141-2015-amd-1-2017", "s": "Amendment to ISO 13141 addressing localization augmentation communication for autonomous systems in electronic fee collection. Focuses on enhancing communication protocols for location-based services in tolling systems.", "n": 2, "nn": "Narrow amendment to existing standard; incremental improvements to established fee collection systems", "m": 5, "mn": "Published ISO standard amendment with full maturity and regulatory implementation", "o": 2, "on": "Minimal overlap; specialized domain-specific amendment", "mo": 2, "mon": "Amendment to legacy standard; limited emerging activity in this specific area", "r": 2, "rn": "Highly specialized application; limited relevance to broader autonomous systems or AI agent frameworks", "c": ["Autonomous netops", "Data formats/interop", "A2A protocols"]}


draft_name: iso-iec-dis-30754
prompt_hash: 4b556b3c28151a8b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:49.950800+00:00
response_json:
  {"name": "iso-iec-dis-30754", "s": "Draft specification for software trustworthiness governance and management covering ISO/IEC standards. Addresses trust frameworks and governance structures for software systems.", "n": 3, "nn": "Emerging standard addressing growing concerns around software trust and governance; moderate novelty in formalization", "m": 2, "mn": "DIS (Draft International Standard) stage; still under development with governance framework maturation needed", "o": 3, "on": "Some overlap with AI safety/alignment and agent identity concerns; governance approaches applicable across domains", "mo": 3, "mon": "Active development in trustworthiness domain; moderate momentum in software governance standardization", "r": 4, "rn": "Relevant to agent trust, autonomous systems governance, and AI safety considerations", "c": ["Policy/governance", "AI safety/alignment", "Agent identity/auth"]}


draft_name: iso-iec-tr-20547-1-2020
prompt_hash: 072b44741c256190
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:49.961302+00:00
response_json:
  {"name": "iso-iec-tr-20547-1-2020", "s": "Technical report describing the big data reference architecture framework and application methodology. Provides guidance on how organizations can apply the BDRA to their specific domains.", "n": 3, "nn": "Mature framework with established reference architecture; application guidance adds moderate value", "m": 4, "mn": "Published technical report with solid foundational maturity; application methodology well-developed", "o": 4, "on": "Significant overlap with Part 3 reference architecture; complementary framework documentation", "mo": 3, "mon": "Stable technical report; moderate ongoing adoption in big data ecosystem", "r": 3, "rn": "Relevant to data-intensive autonomous systems and multi-agent data processing architectures", "c": ["Data formats/interop", "ML traffic mgmt", "Autonomous netops"]}


draft_name: iso-iec-tr-20547-2-2018
prompt_hash: 17409fe49560fd79
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:49.970960+00:00
response_json:
  {"name": "iso-iec-tr-20547-2-2018", "s": "Technical report providing concrete big data use cases across application domains with derived technical requirements. Offers practical examples and implementation considerations.", "n": 3, "nn": "Practical use case documentation; moderate novelty in synthesizing requirements across domains", "m": 4, "mn": "Published technical report with well-documented use cases and derived requirements", "o": 4, "on": "Companion to reference architecture parts; heavy interdependency with Part 3 specifications", "mo": 3, "mon": "Established technical report; steady reference in big data implementation guidance", "r": 3, "rn": "Relevant to understanding agent-based big data processing and multi-stakeholder systems", "c": ["Data formats/interop", "ML traffic mgmt", "Autonomous netops"]}


draft_name: iso-iec-20547-3-2020
prompt_hash: 6701dc034f05ec8d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:12:49.980490+00:00
response_json:
  {"name": "iso-iec-20547-3-2020", "s": "ISO standard specifying the big data reference architecture with user and functional viewpoints. Defines architectural layers, component classes, roles, and relationships within big data ecosystems.", "n": 3, "nn": "Established reference architecture; incremental improvements over prior versions", "m": 5, "mn": "Published ISO standard with comprehensive architectural specification and maturity", "o": 4, "on": "Core architecture document with heavy overlap to Parts 1 and 2 as companion specifications", "mo": 4, "mon": "Published standard with solid adoption; continued relevance to big data ecosystem standardization", "r": 4, "rn": "Highly relevant to multi-agent systems, data interoperability, and autonomous data processing architectures", "c": ["Data formats/interop", "Agent discovery/reg", "Autonomous netops", "ML traffic mgmt"]}


draft_name: iso-pwi-22133-1
prompt_hash: fb029c10dcf27140
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:01.398331+00:00
response_json:
  {"name": "iso-pwi-22133-1", "s": "Defines communication protocols and interfaces for monitoring and controlling test objects in active safety and autonomous vehicle testing. Establishes standardized ways for test systems to interact with vehicles under evaluation.", "n": 3, "nn": "Foundational infrastructure work; communication protocols are well-established domain but application to AV testing is specialized", "m": 2, "mn": "Early stage PWI (Preliminary Work Item); still in pre-standard development", "o": 3, "on": "Moderate overlap with ISO 22133-2 (same series) and general vehicle testing standards; communication protocols are commoditized", "mo": 2, "mon": "PWI status suggests early momentum; part of coordinated multi-part standard effort", "r": 4, "rn": "Directly relevant to AV testing infrastructure; essential for standardizing test environment interactions", "c": ["A2A protocols", "Data formats/interop", "Autonomous netops"]}


draft_name: iso-pwi-22133-2
prompt_hash: a52840706fd9e8dd
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:01.418041+00:00
response_json:
  {"name": "iso-pwi-22133-2", "s": "Specifies test scenario description formats for active safety and autonomous vehicle testing. Provides standardized ways to represent, encode, and communicate test scenarios.", "n": 3, "nn": "Addresses a specific gap in AV testing standardization; scenario representation formats are emerging but not yet mature", "m": 2, "mn": "PWI status indicates early development stage; companion to Part 1", "o": 3, "on": "Complements ISO 22133-1 closely; overlaps with scenario definition approaches in simulation and testing domains", "mo": 2, "mon": "Part of coordinated standard development; momentum tied to broader AV testing standardization push", "r": 4, "rn": "Critical for AV testing reproducibility and validation; essential for interoperability across test platforms", "c": ["Data formats/interop", "Autonomous netops"]}


draft_name: iso-iec-tr-20547-5-2018
prompt_hash: a19d2b0c2ce90e3c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:01.427411+00:00
response_json:
  {"name": "iso-iec-tr-20547-5-2018", "s": "Technical report mapping existing and emerging big data standards, identifying gaps and priorities for future standards development. Provides roadmap for big data standardization across information technology.", "n": 2, "nn": "Meta-level standards analysis; provides perspective but not directly advancing standards; published 2018 (aging)", "m": 3, "mn": "Published technical report; mature document but snapshot in time from 2018", "o": 4, "on": "Heavy overlap with other standards roadmap efforts; big data standardization is heavily analyzed across multiple bodies", "mo": 1, "mon": "Published 2018; limited current momentum as roadmap document; value decreases over time", "r": 2, "rn": "Peripherally relevant to AV/AI; big data is enabling technology but not core to autonomous agent protocols or testing", "c": ["Data formats/interop", "Other AI/agent"]}


draft_name: iso-22733-1-2021
prompt_hash: aabcda4b9efb73f4
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:01.437042+00:00
response_json:
  {"name": "iso-22733-1-2021", "s": "Specifies test methodology for evaluating autonomous emergency braking system performance in car-to-car collision scenarios. Defines procedures, scenarios, and metrics for AEBS/DBS evaluation.", "n": 4, "nn": "Addresses specific safety-critical application; practical test methodology with concrete scenario design; novel contribution to AV safety validation", "m": 4, "mn": "Published standard (2021); mature and implemented; represents mature consensus on AEBS testing", "o": 1, "on": "Highly specific to AEBS testing; limited overlap with other standards except adjacent AV safety standards", "mo": 4, "mon": "Published standard with implementation track record; part of growing AV safety standardization ecosystem", "r": 5, "rn": "Directly critical to AV safety validation and real-world deployment; core safety-critical application", "c": ["AI safety/alignment", "Autonomous netops"]}


draft_name: iso-12813-2015-cd-amd-2
prompt_hash: 4996d1ef883062f9
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:01.445243+00:00
response_json:
  {"name": "iso-12813-2015-cd-amd-2", "s": "Amendment 2 to electronic fee collection standard addressing compliance check communication for autonomous systems. Updates communication protocols for tolling/payment systems interacting with autonomous vehicles.", "n": 2, "nn": "Incremental amendment to existing standard; applies established e-payment communication to autonomous context but represents narrow scope", "m": 3, "mn": "Amendment to 2015 standard (CD stage); older baseline but amendment indicates ongoing refinement", "o": 4, "on": "Heavy overlap with general electronic toll collection standards; autonomous systems aspect is minor modification to existing domain", "mo": 1, "mon": "Amendment to aging standard; limited visibility of active momentum in autonomous fee collection", "r": 2, "rn": "Narrowly relevant to specific AV use case (tolling); not core to safety, testing, or agent infrastructure", "c": ["A2A protocols", "Data formats/interop"]}


draft_name: iso-12813-2019
prompt_hash: b70f3913840b02e1
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:12.048512+00:00
response_json:
  {"name": "iso-12813-2019", "s": "Defines short-range communication protocols for compliance checking between vehicle on-board equipment and roadside interrogators in autonomous electronic toll collection systems. Specifies data syntax, semantics, and attributes for verifying vehicle road usage and OBE functionality without writing to OBE data.", "n": 3, "nn": "Narrow domain-specific standard for toll system compliance; limited cross-domain applicability", "m": 5, "mn": "Published standard with clear specifications and requirements", "o": 2, "on": "Minimal overlap; specific to toll collection domain rather than general autonomous systems", "mo": 2, "mon": "Established standard but limited ongoing development signals", "r": 2, "rn": "Relevant only to toll/fee collection systems; not broadly applicable to general autonomous systems", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: iso-17757-2019
prompt_hash: 01b34113be1345bc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:12.070070+00:00
response_json:
  {"name": "iso-17757-2019", "s": "Provides comprehensive safety requirements for autonomous and semi-autonomous machines used in earth-moving and mining operations, covering hardware, software, systems, and infrastructure throughout the machine lifecycle.", "n": 3, "nn": "Industry-specific safety standard for heavy machinery; complements rather than advances general autonomous systems theory", "m": 5, "mn": "Published standard with established safety criteria and guidance", "o": 2, "on": "Safety requirements are domain-specific; limited overlap with other autonomous domains", "mo": 2, "mon": "Mature standard with limited signals of active evolution", "r": 3, "rn": "Relevant to specialized industrial autonomous systems but not general-purpose autonomous agents", "c": ["Policy/governance", "Human-agent interaction"]}


draft_name: iso-iec-np-23614
prompt_hash: 6dabf17e13fa2723
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:12.080233+00:00
response_json:
  {"name": "iso-iec-np-23614", "s": "Nascent proposal for establishing a framework standard for Knowledge Graphs under ISO/IEC JTC 1/SC 42.", "n": 2, "nn": "Early-stage proposal with minimal available information; foundational data structure work", "m": 1, "mn": "New proposal stage (NP); no published content or specifications available", "o": 3, "on": "Knowledge graphs are foundational infrastructure potentially overlapping with agent discovery, identity, and data interoperability", "mo": 2, "mon": "Early-stage development with unclear momentum", "r": 3, "rn": "Potentially relevant as foundational infrastructure for autonomous agent systems but highly abstract at this stage", "c": ["Agent discovery/reg", "Data formats/interop", "Other AI/agent"]}


draft_name: iso-iec-np-23615
prompt_hash: 4a4eaaaf7fdba212
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:12.090131+00:00
response_json:
  {"name": "iso-iec-np-23615", "s": "Nascent proposal for standardizing neural network representation formats and model compression techniques under ISO/IEC JTC 1/SC 42.", "n": 2, "nn": "Early-stage proposal addressing ML model efficiency and portability; incremental advance in model standardization", "m": 1, "mn": "New proposal stage (NP); no published specifications available", "o": 3, "on": "Model representation and compression overlap with model serving, inference optimization, and data interoperability", "mo": 2, "mon": "Early-stage; momentum unclear", "r": 3, "rn": "Relevant to autonomous agents using neural networks for perception/decision-making but at formative stage", "c": ["Model serving/inference", "Data formats/interop", "Other AI/agent"]}


draft_name: iso-tr-9241-810-2020
prompt_hash: 654304ffe93b85f8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:12.100472+00:00
response_json:
  {"name": "iso-tr-9241-810-2020", "s": "Technical report addressing ergonomic and interaction requirements for robotic, intelligent, and autonomous systems (RIA), covering physically embodied systems, embedded environmental systems, software agents, and broader sociotechnical impacts on users and society.", "n": 4, "nn": "Broad multidisciplinary approach integrating human factors with diverse RIA categories; bridges technical and sociotechnical domains", "m": 4, "mn": "Published technical report with structured guidance; positions as foundation for future standards", "o": 2, "on": "Human-agent interaction focus is distinct from protocol/technical standards; limited overlap with other drafts", "mo": 3, "mon": "Published report suggests active standards development in ergonomics/HCI domain", "r": 4, "rn": "Highly relevant to autonomous systems design; addresses critical human factors often overlooked in technical standards", "c": ["Human-agent interaction", "AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-23725-2024
prompt_hash: 65f1b2e1289f2ab7
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:21.968255+00:00
response_json:
  {"name": "iso-23725-2024", "s": "Defines interoperability interfaces between fleet management and autonomous haulage systems in surface mining, covering communication protocols, message structures, telemetry, and task coordination. Establishes standards for real-time system communication and data exchange.", "n": 4, "nn": "Domain-specific standardization of autonomous vehicle coordination in industrial settings; concrete protocol and message structure definitions", "m": 5, "mn": "Published ISO standard (2024) with mature specification of interfaces and requirements", "o": 2, "on": "Some overlap with general A2A protocols and data formats, but highly specialized to mining/haulage domain", "mo": 5, "mon": "Recently published international standard indicates strong industry adoption momentum", "r": 4, "rn": "Directly relevant to autonomous system interoperability and operational coordination", "c": ["A2A protocols", "Data formats/interop", "ML traffic mgmt"]}


draft_name: iso-ts-23860-2022
prompt_hash: 4277078a91f19bac
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:21.990212+00:00
response_json:
  {"name": "iso-ts-23860-2022", "s": "Defines terminology and vocabulary for autonomous ship systems including Maritime Autonomous Surface Ships (MASS) as defined by IMO, applicable to both maritime and inland waterway vessels.", "n": 3, "nn": "Standardized terminology development for maritime autonomous systems; bridges IMO regulatory framework with technical standards", "m": 4, "mn": "Published technical specification (2022); primarily definitional rather than prescriptive", "o": 3, "on": "Terminology work overlaps with broader autonomous system standards but specific to maritime domain", "mo": 4, "mon": "Aligns with IMO's regulatory work on autonomous vessels, indicating sustained maritime industry interest", "r": 3, "rn": "Relevant for establishing common terminology but limited direct applicability to technical implementation", "c": ["Policy/governance", "Autonomous netops", "Other AI/agent"]}


draft_name: iso-iec-tr-24027-2021
prompt_hash: 4ec21c54ea26e464
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:22.001394+00:00
response_json:
  {"name": "iso-iec-tr-24027-2021", "s": "Addresses bias in AI systems and AI-aided decision-making across all lifecycle phases from data collection to deployment, providing measurement techniques and assessment methods for bias vulnerabilities.", "n": 4, "nn": "Comprehensive treatment of bias assessment across complete AI lifecycle; practical measurement and mitigation techniques", "m": 3, "mn": "Technical report (2021) rather than full standard; addresses emerging concerns in AI safety", "o": 2, "on": "Addresses fundamental AI safety concern with limited overlap to domain-specific autonomous systems", "mo": 4, "mon": "Active focus area with ongoing regulatory and industry emphasis on responsible AI", "r": 4, "rn": "Critical for safe autonomous system deployment; applies broadly across agent implementations", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-tr-24291-2021
prompt_hash: da5849e70a952390
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:22.010354+00:00
response_json:
  {"name": "iso-tr-24291-2021", "s": "Categorizes use cases and clinical applications of machine learning in medical domains (radiology, pathology, surgery, etc.), excluding data collection, model training, and non-clinical research.", "n": 2, "nn": "Domain categorization of existing ML applications; limited technical novelty in methodology", "m": 3, "mn": "Technical report providing applied examples rather than normative standards or frameworks", "o": 4, "on": "Heavy overlap with general ML application frameworks; medical domain specialization", "mo": 3, "mon": "Moderate momentum in medical AI applications but limited evidence of transformative impact", "r": 2, "rn": "Limited relevance to autonomous agent systems and interoperability concerns", "c": ["Other AI/agent"]}


draft_name: iso-iec-24668-2022
prompt_hash: cf5ebd4c8e82c1bf
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:22.019580+00:00
response_json:
  {"name": "iso-iec-24668-2022", "s": "Provides organizational process management framework for big data analytics covering stakeholder coordination, competency development, data management, analytics development, and technology integration.", "n": 3, "nn": "Generic process framework for big data analytics; applicable across industries but lacks agent/autonomous system specificity", "m": 4, "mn": "Broad applicability but not specifically tied to autonomous or agent systems", "o": 3, "on": "Overlaps with general data management and organizational governance frameworks; not agent-specific", "mo": 3, "r": 2, "rn": "Minimally relevant to autonomous agent interoperability; tangential to autonomous netops", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-15938-17-2022
prompt_hash: afac8071813f8b4a
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:33.758009+00:00
response_json:
  {"name": "iso-iec-15938-17-2022", "s": "Specifies Neural Network Coding (NNC) as a compressed representation of trained neural network parameters and weights. Establishes compression methods including sparsification, quantization, and entropy coding for efficient neural network exchange and storage.", "n": 3, "nn": "Focused technical compression standard; incremental contribution to existing multimedia framework rather than novel approach", "m": 5, "mn": "Published ISO/IEC standard with complete specification and well-defined scope boundaries", "o": 2, "on": "Minimal overlap; specialized compression format not directly related to interoperability protocols or agent systems", "mo": 3, "mon": "Stable published standard but niche application in multimedia content description", "r": 2, "rn": "Limited relevance to autonomous agent communication; primarily focused on model representation efficiency", "c": ["Data formats/interop", "Model serving/inference"]}


draft_name: iso-iec-tr-24368-2022
prompt_hash: 758d62fcb6c8a559
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:33.779389+00:00
response_json:
  {"name": "iso-iec-tr-24368-2022", "s": "Provides high-level overview of AI ethical and societal concerns for technologists, regulators, and society. Covers principles, processes, methods, and references related international standards addressing AI ethics issues.", "n": 2, "nn": "Broad overview document lacking technical depth; synthesizes existing ethical frameworks rather than proposing new approaches", "m": 4, "mn": "Published technical report establishing baseline understanding; framework-level maturity without implementation specifications", "o": 1, "on": "Unique scope covering ethical dimensions; minimal overlap with technical interoperability standards", "mo": 4, "mon": "Recent publication (2022) reflecting growing momentum in AI governance and ethics standardization", "r": 3, "rn": "Relevant to policy and governance aspects of autonomous systems but not directly addressing technical interoperability", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: iso-iec-tr-24372-2021
prompt_hash: 2b126f1f68db840c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:33.789104+00:00
response_json:
  {"name": "iso-iec-tr-24372-2021", "s": "Provides overview of computational approaches and algorithms used in AI systems, describing main characteristics and approaches with reference to use cases. Intended as informational reference on AI system implementations.", "n": 2, "nn": "Descriptive survey of existing computational methods; limited novel insight beyond state-of-art cataloging", "m": 3, "mn": "Published technical report with informational scope; lacks formal specification or normative requirements", "o": 2, "on": "Broad coverage of AI approaches but minimal overlap with specific interoperability or agent protocol standards", "mo": 3, "mon": "Foundational reference document with steady relevance but no significant momentum indicators", "r": 2, "rn": "General background on AI systems; indirect relevance to autonomous agent interoperability specifics", "c": ["Other AI/agent"]}


draft_name: iso-ts-22133-2023
prompt_hash: 80acf0f8966be821
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:33.798926+00:00
response_json:
  {"name": "iso-ts-22133-2023", "s": "Specifies requirements, procedures, and message formats for controlling and monitoring test objects used in active safety and autonomous vehicle testing. Defines interoperable communication protocol for multi-vendor test environments.", "n": 3, "nn": "Focused on test infrastructure; technical specification addresses known domain but specific to testing context rather than operational autonomy", "m": 5, "mn": "Published technical specification with detailed functional requirements and protocol definitions for test environments", "o": 3, "on": "Some overlap with autonomous vehicle communication but specialized to testing/validation rather than operational interoperability", "mo": 4, "mon": "Recent publication (2023) in active domain of autonomous vehicle development and testing infrastructure", "r": 4, "rn": "Highly relevant to autonomous systems testing and control; addresses multi-vendor interoperability in controlled environments", "c": ["A2A protocols", "Autonomous netops", "Data formats/interop"]}


draft_name: iso-pwi-3510
prompt_hash: 5d63e98fa026fa7f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:33.809107+00:00
response_json:
  {"name": "iso-pwi-3510", "s": "Specification for interoperability of teleoperated, autonomous, and manned mining equipment under ISO/TC 82/SC 8. Addresses integration of multiple equipment types in mining operations.", "n": 3, "nn": "Domain-specific interoperability standard; applies established interoperability principles to mining sector without apparent methodological innovation", "m": 2, "mn": "Pre-publication work item (PWI) status indicates early development stage with incomplete specification", "o": 4, "on": "Significant overlap with autonomous vehicle and multi-agent interoperability standards; addresses similar integration challenges in different domain", "mo": 2, "mon": "Early-stage work item; momentum unclear given lack of publication timeline or detailed specification availability", "r": 3, "rn": "Relevant to autonomous/teleoperated equipment interoperability but domain-specific to mining applications", "c": ["A2A protocols", "Autonomous netops", "Data formats/interop"]}


draft_name: iso-iec-ts-4213-2022
prompt_hash: d69fbc21acff28d6
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:45.328397+00:00
response_json:
  {"name": "iso-iec-ts-4213-2022", "s": "Specifies methodologies for measuring classification performance of machine learning models, systems and algorithms. Provides standardized approaches to ML model evaluation metrics and assessment procedures.", "n": 3, "nn": "Classification performance assessment is well-established; primarily codifies existing practices rather than introducing novel concepts", "m": 4, "mn": "Published standard with clear methodological scope; mature application of established ML evaluation techniques", "o": 3, "on": "Moderate overlap with ISO/IEC 25059 on quality evaluation; complements but doesn't heavily duplicate other drafts", "mo": 3, "mon": "Standard publication indicates stability; limited momentum as it addresses foundational rather than emerging concerns", "r": 4, "rn": "Highly relevant for ML practitioners needing standardized evaluation frameworks; essential for quality assurance", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-24029-2-2023
prompt_hash: 12a3589f191cd704
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:45.349105+00:00
response_json:
  {"name": "iso-iec-24029-2-2023", "s": "Provides methodology for using formal methods to assess robustness properties of neural networks. Focuses on selection, application and management of formal verification techniques for proving robustness.", "n": 4, "nn": "Formal verification applied to neural network robustness is relatively novel; brings rigorous mathematical approaches to an emerging concern", "m": 3, "mn": "Recent publication but formal methods for neural networks remain technically immature; practical application still developing", "o": 2, "on": "Unique focus on formal methods; minimal overlap with other documents though complements ISO/IEC 25059 quality framework", "mo": 4, "mon": "Growing momentum in AI safety community; formal verification is increasingly prioritized for critical applications", "r": 4, "rn": "Highly relevant for safety-critical AI systems; addresses critical need for robustness guarantees", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-tr-27563-2023
prompt_hash: 9e77f5cb282043f8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:45.366067+00:00
response_json:
  {"name": "iso-iec-tr-27563-2023", "s": "Outlines best practices for assessing security and privacy in AI use cases, covering overall system assessment, security/privacy concerns, and related risk management. References ISO/IEC TR 24030 AI use cases.", "n": 3, "nn": "Security/privacy frameworks exist; applies established practices to AI context rather than introducing fundamentally new approaches", "m": 4, "mn": "Recent technical report with comprehensive coverage; mature application of security/privacy principles to AI", "o": 3, "on": "Moderate overlap with ISO/IEC 25059 on quality aspects; complements broader governance frameworks", "mo": 3, "mon": "Steady momentum as security/privacy concerns in AI continue to grow in importance", "r": 5, "rn": "Critical relevance given regulatory emphasis on AI security and privacy; directly addresses stakeholder concerns", "c": ["Policy/governance", "Human-agent interaction", "Other AI/agent"]}


draft_name: iso-ts-42501-2022
prompt_hash: a84780a6f46c48b9
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:45.377684+00:00
response_json:
  {"name": "iso-ts-42501-2022", "s": "Specifies general trustworthiness and safety requirements for digital platform operators in the sharing economy. Provides guidance beneficial for system development despite not covering specific system requirements.", "n": 2, "nn": "Sharing economy platforms are well-established; requirements are incremental refinements of existing trust/safety principles rather than novel", "m": 3, "mn": "Standard published but scope is general; implementation specificity remains limited", "o": 4, "on": "Significant conceptual overlap with ISO/IEC 25059 quality model and ISO/IEC TR 27563 on trustworthiness; focuses on broader platform governance", "mo": 2, "mon": "Limited momentum; sharing economy governance is maturing but not an active innovation area", "r": 2, "rn": "Marginal relevance to core AI/agent standards; applies more broadly to digital platforms than AI-specific systems", "c": ["Policy/governance", "Human-agent interaction"]}


draft_name: iso-iec-25059-2023
prompt_hash: 4a097845e324a31e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:45.387277+00:00
response_json:
  {"name": "iso-iec-25059-2023", "s": "Outlines a quality model for AI systems as an extension to SQuaRE standards. Defines characteristics and sub-characteristics for consistently specifying, measuring and evaluating AI system quality.", "n": 3, "nn": "Quality models for general software exist; AI-specific extension is incremental; characteristics largely adapt existing SQuaRE framework", "m": 4, "mn": "Recently published with structured methodology; builds on mature SQuaRE standards for clear applicability", "o": 3, "on": "Overlaps with ISO/IEC TS 4213 on evaluation; complements ISO/IEC TR 27563 on quality aspects; provides overarching framework", "mo": 3, "mon": "Solid momentum as AI quality assessment becomes standardization priority; builds on established SQuaRE ecosystem", "r": 5, "rn": "Highly relevant as foundational quality framework for AI systems; essential reference for comprehensive evaluation", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-pwi-5096
prompt_hash: 4beeda577d631324
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:55.260146+00:00
response_json:
  {"name": "iso-iec-pwi-5096", "s": "Early-stage ISO standard for AI-enabled networking. Establishes foundational concepts and requirements for integrating artificial intelligence into network management and operations.", "n": 3, "nn": "Moderately novel approach to standardizing AI in networking domain; builds on existing network standards but adds AI dimension", "m": 1, "mn": "PWI (Preliminary Work Item) stage indicates very early development; concept still being defined", "o": 3, "on": "Moderate overlap with autonomous netops and ML traffic management concepts; distinct from most other drafts", "mo": 2, "mon": "Early stage suggests limited momentum; awaiting progression through ISO committee process", "r": 4, "rn": "High relevance to AI-enabled network operations and autonomous systems", "c": ["Autonomous netops", "ML traffic mgmt", "Policy/governance"]}


draft_name: iso-iec-wd-ts-23220-6
prompt_hash: dd273acdca43cfd7
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:55.279697+00:00
response_json:
  {"name": "iso-iec-wd-ts-23220-6", "s": "Working draft standard for mobile identity management security devices. Specifies mechanisms for certifying trustworthiness of secure areas in personal identification systems via mobile devices.", "n": 2, "nn": "Incremental addition to existing identity management standards; focuses on certification mechanisms rather than novel concepts", "m": 2, "mn": "WD (Working Draft) stage; moderately developed but still in active revision", "o": 4, "on": "High overlap with agent identity/authentication standards; heavy focus on security credentials and device trust", "mo": 3, "mon": "Moderate momentum as part of active ISO/IEC JTC 1/SC 17 work on identity standards", "r": 3, "rn": "Relevant to agent authentication and identity management in distributed systems", "c": ["Agent identity/auth", "Data formats/interop"]}


draft_name: iso-tr-22100-5-2021
prompt_hash: 52b13e9bf86d23cc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:55.289030+00:00
response_json:
  {"name": "iso-tr-22100-5-2021", "s": "Published technical report addressing safety implications of AI/ML in machinery and industrial systems. Provides guidance on incorporating AI hazard analysis into machinery safety risk assessments.", "n": 3, "nn": "Novel application of safety methodology to AI/ML systems; extends ISO 12100 safety framework to AI domain", "m": 4, "mn": "Published TR (Technical Report) with clear maturity; established guidance document from 2021", "o": 2, "on": "Minimal overlap with other drafts; unique focus on machinery safety rather than networking or identity", "mo": 4, "mon": "Established momentum as published standard; cited reference in AI safety domain", "r": 4, "rn": "High relevance to AI safety and alignment, particularly in industrial/operational contexts", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-5259-1-2024
prompt_hash: 43507673650b50b9
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:55.298694+00:00
response_json:
  {"name": "iso-iec-5259-1-2024", "s": "Published foundational standard for data quality in analytics and ML. Part 1 provides terminology, overview, and use cases for the ISO/IEC 5259 data quality series.", "n": 3, "nn": "Moderately novel systematization of data quality concepts for ML; establishes common terminology and framework", "m": 4, "mn": "Published in 2024; mature and current standard with formal status", "o": 2, "on": "Minimal overlap with other drafts; foundational data quality focus distinct from networking/identity domains", "mo": 5, "mon": "High momentum as recently published (July 2024) formal ISO/IEC standard", "r": 4, "rn": "High relevance to ML systems quality, data governance, and interoperability standards", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-5259-3-2024
prompt_hash: d3a28459b89c3f66
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:13:55.307774+00:00
response_json:
  {"name": "iso-iec-5259-3-2024", "s": "Published requirements standard for data quality management in analytics and ML. Specifies generic requirements and guidance for establishing and maintaining data quality processes applicable to all organizations.", "n": 3, "nn": "Moderately novel generic framework for data quality management; extends Part 1 with operational requirements and guidance", "m": 5, "mn": "Published in 2024; fully mature formal ISO/IEC standard with clear requirements and guidance", "o": 1, "on": "Unique focus on data quality management process requirements; minimal overlap with other drafts", "mo": 5, "mon": "High momentum as recently published formal standard complementing Part 1", "r": 4, "rn": "High relevance to ML data governance, quality management, and operational standards", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-5259-4-2024
prompt_hash: a0ed9eec3d91ea0e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:06.629952+00:00
response_json:
  {"name": "iso-iec-5259-4-2024", "s": "Establishes organizational approaches for ensuring data quality in ML training and evaluation across supervised, unsupervised, and semi-supervised learning. Provides guidance on data labeling processes and quality frameworks applicable to organizations of any size.", "n": 2, "nn": "Data quality for ML is well-established; this standard formalizes existing practices rather than introducing novel concepts.", "m": 4, "mn": "Published ISO standard (July 2024) with mature framework; represents consensus best practices.", "o": 3, "on": "Overlaps with general ML quality assurance literature and prior ISO/IEC AI standards on data handling.", "mo": 4, "mon": "Recent publication and part of active ISO/IEC 5259 series indicates ongoing standardization momentum in data quality.", "r": 4, "rn": "Highly relevant for any ML-based agent or AI system requiring reliable training data and quality assurance.", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-5392-2024
prompt_hash: 78bb8acfce5c9650
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:06.650176+00:00
response_json:
  {"name": "iso-iec-5392-2024", "s": "Defines reference architecture for knowledge engineering in AI, including roles, activities, components, layers and relationships. Provides common vocabulary and systemic framework for KE systems.", "n": 2, "nn": "Knowledge engineering architectures are established discipline; standard consolidates rather than innovates.", "m": 4, "mn": "Published ISO standard (March 2024); represents mature consensus on KE reference models.", "o": 3, "on": "Aligns with existing knowledge representation and ontology standards; provides standardized terminology.", "mo": 3, "mon": "Published as formal standard but incremental to existing KE literature.", "r": 3, "rn": "Moderate relevance; applicable to AI systems requiring knowledge representation but not directly addressing agent protocols or interoperability.", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-tr-5469-2024
prompt_hash: fbeea75aa8be813e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:06.659401+00:00
response_json:
  {"name": "iso-iec-tr-5469-2024", "s": "Technical report addressing functional safety integration with AI systems, including AI in safety-critical functions, non-AI safeguards for AI systems, and AI-assisted safety design. Covers risk factors, properties, and available methods.", "n": 3, "nn": "Intersection of AI and functional safety is emerging; addresses novel challenges of AI in safety-critical applications.", "m": 3, "mn": "Published as technical report (January 2024) rather than full standard; indicates developing maturity of this domain.", "o": 2, "on": "Limited overlap; safety-critical AI is specialized domain with fewer parallel standards.", "mo": 3, "mon": "TR publication suggests standardization work in progress; moderate momentum in safety-AI integration.", "r": 5, "rn": "Highly relevant for autonomous systems, critical infrastructure agents, and any safety-dependent AI deployment.", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-np-ts-18759
prompt_hash: bf70a1c6d4c9d512
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:06.668013+00:00
response_json:
  {"name": "iso-np-ts-18759", "s": "New project proposing technical specification for trustworthy storage systems covering functional and technical requirements for document management.", "n": 1, "nn": "Document storage is mature domain; trustworthiness focus is incremental enhancement.", "m": 1, "mn": "New project proposal stage (no published date); very early development with minimal concrete content.", "o": 4, "on": "Heavy overlap with existing document management standards (ISO 22733 series); incremental trustworthiness requirements.", "mo": 1, "mon": "Early-stage proposal with no publication date indicates nascent momentum.", "r": 1, "rn": "Low relevance to agent systems, AI protocols, or interoperability; focused on document storage.", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-22733-2-2023
prompt_hash: c3d16a7ed377d14e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:06.677411+00:00
response_json:
  {"name": "iso-22733-2-2023", "s": "Specifies test methods for evaluating autonomous emergency braking systems (AEBS) in car-to-pedestrian collision scenarios. Covers performance evaluation in both longitudinal and perpendicular pedestrian approach situations.", "n": 2, "nn": "Testing methodology for AEBS is established domain; this part extends existing framework to pedestrian scenarios.", "m": 4, "mn": "Published ISO standard (November 2023); represents mature testing consensus.", "o": 3, "on": "Part of ISO 22733 series; overlap with vehicle safety testing standards.", "mo": 4, "mon": "Recent publication indicates active standardization of autonomous vehicle safety testing.", "r": 3, "rn": "Moderate relevance for autonomous vehicle agents and safety validation; limited applicability beyond vehicular domain.", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-ts-5723-2022
prompt_hash: 91cd1cd8160e1e19
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:16.320741+00:00
response_json:
  {"name": "iso-iec-ts-5723-2022", "s": "Defines trustworthiness for systems and services with characteristic definitions. Establishes foundational vocabulary for trust concepts in IT systems.", "n": 3, "nn": "Vocabulary standardization is incremental; trustworthiness is well-explored but formalization adds clarity", "m": 4, "mn": "Published standard (2022) with stable maturity; forms basis for derivative standards", "o": 4, "on": "Heavy overlap with trust/security frameworks; complementary to ISO/IEC 5957 and 6254", "mo": 3, "mon": "Established standard with slow evolution; foundational rather than cutting-edge", "r": 3, "rn": "Relevant for AI governance frameworks; applies broadly to systems beyond AI", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-5259-2-2024
prompt_hash: 543c9c7113a84edb
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:16.342332+00:00
response_json:
  {"name": "iso-iec-5259-2-2024", "s": "Specifies data quality models, measures, and reporting guidance for analytics and ML. Addresses data quality objectives across organizations.", "n": 3, "nn": "Data quality metrics are established domain; part 2 extends part 1 with operational measures", "m": 5, "mn": "Recent publication (2024) with comprehensive, actionable specifications", "o": 2, "on": "Focused niche on data quality for ML; minimal overlap with other listed standards", "mo": 4, "mon": "Recent release suggests active standardization progress in data quality domain", "r": 4, "rn": "Highly relevant for ML system quality; essential for responsible AI development", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-pwi-5957
prompt_hash: 57577593951a2f38
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:16.353331+00:00
response_json:
  {"name": "iso-iec-pwi-5957", "s": "Developing reference architecture for trustworthiness systems. Currently in pre-publication working draft stage.", "n": 4, "nn": "Reference architecture for trustworthiness is novel; advances beyond vocabulary definitions", "m": 1, "mn": "Pre-publication PWI status; early development with no publication date; immature", "o": 3, "on": "Will complement ISO/IEC TS 5723; overlaps conceptually with trustworthiness frameworks", "mo": 2, "mon": "Early stage development; no publication momentum visible yet", "r": 4, "rn": "High relevance for AI system architecture; foundational for trustworthy AI deployment", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-ts-6254-2025
prompt_hash: 8ab17fc1dd12ee13
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:16.362903+00:00
response_json:
  {"name": "iso-iec-ts-6254-2025", "s": "Provides approaches for achieving explainability and interpretability of ML and AI systems across lifecycle. Addresses stakeholder objectives including academia, industry, and policymakers.", "n": 4, "nn": "Explainability guidance operationalizes interpretability; extends beyond theory with practical methods", "m": 4, "mn": "Published technical specification (2025); comprehensive but emerging domain maturity", "o": 2, "on": "Focused on explainability/interpretability; minimal overlap with data quality or architecture standards", "mo": 5, "mon": "Recent 2025 publication indicates strong momentum in AI transparency standardization", "r": 5, "rn": "Highly critical for AI safety, regulatory compliance, and human-agent trust", "c": ["AI safety/alignment", "Human-agent interaction", "Policy/governance"]}


draft_name: iso-ts-18759-2022
prompt_hash: 911bb10f6df89fe6
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:16.373025+00:00
response_json:
  {"name": "iso-ts-18759-2022", "s": "Specifies functional and technology-neutral requirements for trustworthy storage systems protecting electronically stored information. Addresses immutability, authenticity, and security throughout information lifecycle.", "n": 2, "nn": "Storage security is established field; requirements are standard practice formalization", "m": 4, "mn": "Published standard (2022) with mature, practical specifications", "o": 3, "on": "Trustworthiness dimension overlaps with ISO/IEC TS 5723; otherwise specialized to storage", "mo": 2, "mon": "Established standard with narrow application scope; stable rather than dynamic", "r": 2, "rn": "Relevant for data preservation in ML pipelines; primarily storage-focused rather than AI-specific", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-ts-25058-2024
prompt_hash: e453fd272282fef8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:26.856969+00:00
response_json:
  {"name": "iso-iec-ts-25058-2024", "s": "Provides guidance for evaluating artificial intelligence systems using a quality model. Applicable across all organizations developing and using AI. Establishes framework for assessing AI system quality.", "n": 3, "nn": "AI quality evaluation is emerging; this standardizes approaches but follows established quality frameworks", "m": 4, "mn": "Published 2024 technical specification with mature quality evaluation concepts adapted for AI", "o": 2, "on": "Minimal overlap with autonomous machinery standards; unique focus on AI system quality assessment", "mo": 4, "mon": "Strong momentum as AI quality standards are actively being developed across ISO/IEC", "r": 4, "rn": "Highly relevant for any AI system evaluation; foundational for quality assurance practices", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference"]}


draft_name: iso-18497-1-2024
prompt_hash: a7cfe9c34532c609
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:26.877779+00:00
response_json:
  {"name": "iso-18497-1-2024", "s": "Specifies design principles for agricultural machinery with partially automated, semi-autonomous and autonomous functions. Provides guidance on manufacturer information for safe working practices and residual risk management.", "n": 3, "nn": "Extends existing safety standards to autonomous agricultural equipment; incremental advancement in domain-specific autonomy", "m": 4, "mn": "Published standard addressing established agricultural machinery safety with new autonomous function considerations", "o": 3, "on": "Part of comprehensive ISO 18497 series; overlaps with Parts 2-4 on related safety principles", "mo": 4, "mon": "Published in 2024 as part of coordinated standards development for autonomous agricultural systems", "r": 3, "rn": "Relevant for autonomous agricultural machinery development and safety-critical systems", "c": ["AI safety/alignment", "Policy/governance", "Human-agent interaction", "Autonomous netops"]}


draft_name: iso-18497-2-2024
prompt_hash: 29e0c156eafc7ccb
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:26.888332+00:00
response_json:
  {"name": "iso-18497-2-2024", "s": "Specifies design principles for obstacle protection systems in autonomous agricultural machinery. Addresses safe working practices and residual risk communication from manufacturers.", "n": 2, "nn": "Narrow focus on protective systems for autonomous equipment; incremental specialization within safety domain", "m": 4, "mn": "Published standard with mature safety engineering principles applied to obstacle detection systems", "o": 4, "on": "Heavy overlap with ISO 18497-1 as Part 2 of series; closely related to Parts 3 and 4", "mo": 4, "mon": "Timely 2024 publication reflecting industry need for autonomous agricultural equipment safety", "r": 3, "rn": "Relevant for developers of autonomous agricultural systems requiring obstacle detection", "c": ["AI safety/alignment", "Autonomous netops", "Policy/governance"]}


draft_name: iso-18497-3-2024
prompt_hash: 97a6e52369b4748c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:26.897704+00:00
response_json:
  {"name": "iso-18497-3-2024", "s": "Specifies design principles for systems preventing autonomous agricultural machinery from exceeding operating zone boundaries. Covers perception and supervisory systems for boundary management.", "n": 2, "nn": "Addresses geofencing and boundary enforcement in autonomous equipment; specialized safety mechanism for autonomy", "m": 4, "mn": "Published standard applying established control system principles to autonomous zone management", "o": 4, "on": "Part 3 of ISO 18497 series with substantial overlap to Parts 1, 2, and 4", "mo": 4, "mon": "Current publication (2024) addressing specific autonomous operating constraint requirement", "r": 3, "rn": "Relevant for autonomous systems requiring spatial constraint enforcement and zone management", "c": ["Autonomous netops", "AI safety/alignment", "Policy/governance"]}


draft_name: iso-18497-4-2024
prompt_hash: 207d4f39a8d776ba
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:26.906722+00:00
response_json:
  {"name": "iso-18497-4-2024", "s": "Specifies verification methods and validation principles for autonomous agricultural machinery. Addresses testing and validation of partially automated, semi-autonomous and autonomous functions.", "n": 3, "nn": "Establishes verification/validation frameworks for autonomous equipment; important methodological contribution to safety assurance", "m": 4, "mn": "Published standard with mature testing principles applied to autonomous systems verification", "o": 4, "on": "Part 4 of ISO 18497 series; directly referenced by and overlaps significantly with Parts 1-3", "mo": 4, "mon": "Recent 2024 publication completing comprehensive autonomous agricultural machinery safety standard", "r": 4, "rn": "Highly relevant for safety-critical autonomous system development and validation methodologies", "c": ["AI safety/alignment", "Autonomous netops", "Policy/governance"]}


draft_name: iso-pwi-18497-5
prompt_hash: 3ca2aae625b0c544
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:39.293948+00:00
response_json:
  {"name": "iso-pwi-18497-5", "s": "Developing ISO standard for safety of partially automated, semi-autonomous and autonomous agricultural machinery and tractors. Part 5 covers open aspects of safety requirements for these systems.", "n": 2, "nn": "Incremental work within established agricultural machinery safety framework; addresses known domain hazards", "m": 2, "mn": "Early stage PWI (Preliminary Work Item); abstract lacks detail on specific technical content", "o": 3, "on": "Overlaps with other autonomous system safety standards (ISO 26262, ISO 25119); domain-specific focus differentiates it", "mo": 2, "mon": "Limited visibility into development momentum; part of multi-part series suggests sustained effort", "r": 3, "rn": "Relevant to agricultural automation sector; limited broader applicability to general autonomous systems", "c": ["Policy/governance", "Autonomous netops"]}


draft_name: iso-iec-15938-18-2023
prompt_hash: 290a366b841590e8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:39.314299+00:00
response_json:
  {"name": "iso-iec-15938-18-2023", "s": "ISO/IEC standard specifying conformance testing procedures and reference software for neural network compression implementations. Provides conformance bitstreams for compression testing.", "n": 2, "nn": "Implementation specification for existing compression standard (15938-17); focuses on conformance rather than novel compression techniques", "m": 4, "mn": "Published standard (2023); mature with defined conformance procedures and reference implementations", "o": 4, "on": "Part of broader MPEG-7 multimedia content description family; heavy overlap with related compression standards", "mo": 3, "mon": "Published status indicates established adoption pathway; multimedia compression is mature domain", "r": 2, "rn": "Relevant to ML model serving/inference optimization; narrow focus on neural network compression testing", "c": ["Model serving/inference", "Data formats/interop"]}


draft_name: iso-iec-pwi-7699
prompt_hash: fbf9d770c02555ff
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:39.325242+00:00
response_json:
  {"name": "iso-iec-pwi-7699", "s": "Developing ISO/IEC guidance standard for addressing security threats and failures in artificial intelligence systems. Covers threat identification and mitigation approaches.", "n": 3, "nn": "Emerging AI safety standard addressing growing concerns; builds on general cybersecurity frameworks applied to AI context", "m": 1, "mn": "Early stage PWI with minimal detail available; guidance nature suggests foundational rather than prescriptive content", "o": 3, "on": "Overlaps with ISO/IEC 27035 incident management and evolving AI safety standards; complements rather than duplicates", "mo": 4, "mon": "Strong momentum in AI security governance; reflects industry and regulatory focus on AI risk management", "r": 4, "rn": "Highly relevant to AI safety/alignment and broader autonomous systems governance; wide applicability", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-13141-2024
prompt_hash: e7242f0a49c40389
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:39.335044+00:00
response_json:
  {"name": "iso-13141-2024", "s": "Published standard specifying localization augmentation communication for autonomous electronic fee collection systems. Defines short-range DSRC communication for OBE-RSE location sharing and identification.", "n": 2, "nn": "Incremental extension of existing EFC standards (ISO 17573) to autonomous mode; applies known DSRC protocols to autonomous context", "m": 4, "mn": "Published standard (2024) with detailed technical specifications for communication attributes and functions", "o": 4, "on": "Heavy overlap with ISO 12813, ISO 17573, and DSRC standards; tightly integrated into existing EFC ecosystem", "mo": 3, "mon": "Concurrent publication with related autonomous EFC standards indicates coordinated development; moderate adoption expected", "r": 2, "rn": "Narrow relevance to toll collection systems; limited applicability beyond electronic fee collection domain", "c": ["A2A protocols", "Data formats/interop", "Autonomous netops"]}


draft_name: iso-12813-2024
prompt_hash: f873619e0118f869
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:39.345008+00:00
response_json:
  {"name": "iso-12813-2024", "s": "Published standard specifying compliance checking communication for autonomous electronic fee collection systems. Enables interrogation of on-board equipment to verify toll compliance without modifying OBE data.", "n": 2, "nn": "Domain-specific extension of EFC standards to autonomous systems; uses established read-only interrogation model", "m": 4, "mn": "Published standard (2024) with comprehensive technical specifications for compliance checking protocols", "o": 4, "on": "Heavy overlap with ISO 13141, ISO 17573, and related EFC standards; complementary rather than redundant", "mo": 3, "mon": "Published alongside ISO 13141 suggests coordinated autonomous EFC standardization effort", "r": 2, "rn": "Specific to toll system compliance verification; minimal relevance outside electronic fee collection domain", "c": ["A2A protocols", "Agent identity/auth", "Data formats/interop"]}


draft_name: iso-iec-8183-2023
prompt_hash: dd38aa5898a65917
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:51.014014+00:00
response_json:
  {"name": "iso-iec-8183-2023", "s": "Defines stages and actions for data processing throughout AI system life cycles, from acquisition through decommissioning. Applicable to all organizations using data in AI development and deployment.", "n": 3, "nn": "Moderately novel framework for data governance in AI systems; addresses a recognized gap in lifecycle management standards.", "m": 5, "mn": "Published standard (2023) with complete specification and implementation guidance.", "o": 2, "on": "Unique focus on data lifecycle; minimal overlap with other AI standards but complements governance frameworks.", "mo": 4, "mon": "Published ISO standard indicates strong organizational adoption momentum in data governance.", "r": 5, "rn": "Highly relevant for AI practitioners managing data throughout system lifecycles; applicable across industries.", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-ts-8200-2024
prompt_hash: 895af5da86cbf732
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:51.034428+00:00
response_json:
  {"name": "iso-iec-ts-8200-2024", "s": "Technical specification for controllability frameworks in automated AI systems, covering state observability, control transfer, and uncertainty handling. Provides principles and approaches for enhancing AI system controllability.", "n": 4, "nn": "Novel contribution to AI controllability domain; addresses critical safety and operational control concerns increasingly important for autonomous systems.", "m": 4, "mn": "Published technical specification (2024) indicating mature standardization effort with practical implementation focus.", "o": 2, "on": "Specialized focus on controllability mechanisms; limited overlap with data lifecycle or general trustworthiness standards.", "mo": 4, "mon": "Recent 2024 publication suggests active development and growing recognition of controllability as critical standard area.", "r": 5, "rn": "Essential for developers of autonomous and safety-critical AI systems; directly addresses human oversight and control requirements.", "c": ["AI safety/alignment", "Autonomous netops", "Human-agent interaction", "Other AI/agent"]}


draft_name: iso-np-15801
prompt_hash: 66d35df0c76978fd
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:51.044936+00:00
response_json:
  {"name": "iso-np-15801", "s": "Specifies implementation and operation of information management systems for storing electronically stored information (ESI) in trustworthy and reliable manner. Covers policies, procedures, technology, and audit requirements for maintaining ESI integrity over time.", "n": 2, "nn": "Low novelty; adapts existing document management principles to electronic storage without AI-specific considerations.", "m": 2, "mn": "Early-stage proposal (NP designation) with no publication date; minimal development maturity.", "o": 4, "on": "Significant overlap with general trustworthiness frameworks; related to but broader than AI-specific standards.", "mo": 1, "mon": "No publication date indicates stalled or early-stage development; limited momentum in standardization process.", "r": 3, "rn": "Relevant for organizations managing archived ESI but lacks AI-system specificity; indirect relevance to AI governance.", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-pas-8800-2024
prompt_hash: 29c148f3923b90dc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:51.056330+00:00
response_json:
  {"name": "iso-pas-8800-2024", "s": "Addresses safety-related E/E systems using AI technology in series-production road vehicles, covering undesired safety behavior from output insufficiencies and systematic errors. Includes internal and external AI element interactions affecting vehicle safety.", "n": 4, "nn": "Novel and timely contribution addressing safety implications of AI in automotive; fills critical gap as vehicles increasingly integrate AI technologies.", "m": 4, "mn": "Published PAS (2024) indicates formal standardization with practical automotive safety focus; industry-ready specification.", "o": 1, "on": "Highly specialized domain (automotive AI safety); minimal overlap with other standards except general AI governance principles.", "mo": 5, "mon": "Recent publication (Dec 2024) and automotive industry demand for AI safety standards indicate strong momentum.", "r": 5, "rn": "Critical for automotive manufacturers and suppliers integrating AI into safety-critical vehicle systems; high practical relevance.", "c": ["AI safety/alignment", "Autonomous netops", "Policy/governance", "Human-agent interaction"]}


draft_name: iso-iec-pwi-9991
prompt_hash: 462496e4a764d01f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:14:51.065142+00:00
response_json:
  {"name": "iso-iec-pwi-9991", "s": "Provides overview and concepts for trustworthiness in information technology. Establishes foundational vocabulary and conceptual framework for trustworthiness standards development.", "n": 3, "nn": "Moderate novelty as foundational framework; useful for standardization but covers established trustworthiness concepts.", "m": 1, "mn": "Pre-work item (PWI) status indicates early conceptual stage with no publication timeline; minimal maturity.", "o": 5, "on": "Heavy overlap with existing trustworthiness frameworks and standards; foundational but not differentiated.", "mo": 1, "mon": "PWI status with no date suggests limited development progress and uncertain commitment to completion.", "r": 3, "rn": "Relevant as conceptual foundation for trustworthiness standards but lacks concrete AI-system implementation guidance.", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-cd-11034.2
prompt_hash: 0b6749231db67bd0
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:02.231888+00:00
response_json:
  {"name": "iso-iec-cd-11034.2", "s": "Provides frameworks and concepts for trustworthiness in cloud computing systems. Covers overview and foundational principles for assessing trust in cloud environments. Applicable to cloud service providers and consumers.", "n": 2, "nn": "Trustworthiness frameworks for cloud are well-established; this appears to be a consolidation rather than novel approach", "m": 3, "mn": "Committee draft stage indicates early-to-mid maturity; foundational concepts not yet finalized", "o": 3, "on": "Moderate overlap with cloud governance and policy frameworks; some connection to AI safety concerns in cloud contexts", "mo": 2, "mon": "No publication date provided; unclear advancement status or adoption trajectory", "r": 3, "rn": "Relevant for cloud-based AI systems but not specifically focused on AI trustworthiness", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-dtr-12786
prompt_hash: 3f203687bef17220
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:02.253176+00:00
response_json:
  {"name": "iso-dtr-12786", "s": "Technical report on use cases for big data and artificial intelligence in intelligent transport systems. Focuses on practical applications of AI/big data within ITS domain. Provides examples and scenarios for ITS stakeholders.", "n": 2, "nn": "Use case documentation is largely domain-specific; limited novel methodology or technical contribution beyond application examples", "m": 2, "mn": "Draft technical report status suggests preliminary compilation; use cases may not be validated or widely tested", "o": 2, "on": "Minimal overlap with other drafts; highly specialized to ITS domain with limited cross-domain applicability", "mo": 2, "mon": "No publication date provided; unclear if this is an active or stalled initiative", "r": 2, "rn": "Relevant primarily to intelligent transport systems; limited broader AI/agent framework relevance", "c": ["Other AI/agent"]}


draft_name: iso-iec-ts-12791-2024
prompt_hash: 560ae0b726c7e5fe
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:02.263612+00:00
response_json:
  {"name": "iso-iec-ts-12791-2024", "s": "Addresses unwanted bias in machine learning systems performing classification and regression tasks. Provides mitigation techniques applicable throughout AI system lifecycle. Applicable to organizations of all sizes implementing ML-based AI systems.", "n": 3, "nn": "Bias mitigation in ML is established practice; document appears to formalize and standardize existing techniques rather than introduce novel approaches", "m": 4, "mn": "Published technical specification (2024) indicates reasonable maturity; builds on established ML practices with standardized approach", "o": 3, "on": "Overlaps with AI safety/alignment concerns and transparency requirements; complements but does not duplicate other governance standards", "mo": 4, "mon": "Recent publication (2024) with clear relevance to active AI governance discussions; likely to see adoption", "r": 4, "rn": "Highly relevant to responsible AI development; directly addresses critical AI safety concern applicable across sectors", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-12792-2025
prompt_hash: 212e67715a77bf15
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:02.271946+00:00
response_json:
  {"name": "iso-iec-12792-2025", "s": "Specifies taxonomy of information elements for AI system transparency. Assists stakeholders in identifying and addressing transparency needs. Applicable to any organization implementing AI systems.", "n": 3, "nn": "AI transparency taxonomies are emerging; this standardization is useful but represents formalization of known requirements rather than novel concept", "m": 4, "mn": "Forthcoming publication (2025) with structured taxonomy approach suggests solid specification maturity; ready for near-term adoption", "o": 3, "on": "Overlaps with AI safety, bias mitigation, and governance frameworks; complements rather than duplicates existing standards", "mo": 5, "mon": "Recent publication date (2025) aligns with current regulatory momentum around AI transparency and accountability", "r": 5, "rn": "Highly relevant to AI governance and stakeholder trust; directly supports regulatory compliance and responsible AI practices", "c": ["Policy/governance", "AI safety/alignment", "Human-agent interaction"]}


draft_name: iso-iec-ts-42119-2-2025
prompt_hash: 1d484b981737d9e0
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:02.280843+00:00
response_json:
  {"name": "iso-iec-ts-42119-2-2025", "s": "Provides requirements and guidance for applying ISO/IEC/IEEE 29119 testing series to AI systems. Uses risk-based approach to identify suitable testing practices for AI development. Specifies additional detail on test application in AI contexts.", "n": 3, "nn": "Risk-based testing for AI is established practice; document primarily adapts existing software testing standards to AI domain rather than introducing novel testing paradigm", "m": 4, "mn": "Technical specification status with recent publication date (2025) indicates good maturity; provides practical mapping of established standards", "o": 2, "on": "Minimal overlap; primarily technical specification distinct from governance/transparency/bias standards; fills specific testing guidance gap", "mo": 4, "mon": "Recent publication aligns with growing need for standardized AI testing practices; addresses recognized gap in AI quality assurance", "r": 4, "rn": "Relevant to organizations developing and maintaining AI systems; supports quality assurance and risk management objectives", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-tr-24030-2024
prompt_hash: 1291f847c4b00077
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:13.701953+00:00
response_json:
  {"name": "iso-iec-tr-24030-2024", "s": "Collection of representative AI application use cases across various domains. Provides illustrative examples of how AI is deployed in practice, serving as a reference for understanding AI implementation patterns.", "n": 2, "nn": "Descriptive overview document with limited novel technical contribution", "m": 4, "mn": "Published standard from 2024, represents mature consensus on AI use case categorization", "o": 3, "on": "Moderate overlap with general AI standards and domain-specific AI guidance documents", "mo": 3, "mon": "Standard publication indicates stable interest but limited forward momentum in this specific area", "r": 3, "rn": "Useful reference for practitioners but addresses breadth over depth of technical implementation", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-5259-5-2025
prompt_hash: 80747d57d8552594
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:13.722060+00:00
response_json:
  {"name": "iso-iec-5259-5-2025", "s": "Establishes governance framework for data quality in analytics and ML systems throughout the data lifecycle. Provides organizational controls and oversight structures for managing data quality implementation.", "n": 3, "nn": "Applies existing governance concepts to ML-specific data quality context; moderate novelty in governance structure design", "m": 5, "mn": "Recently published in 2025, part of coordinated ISO/IEC 5259 series indicating high maturity and standardization", "o": 2, "on": "Limited overlap; specialized governance framework addresses specific gap in data quality management standards", "mo": 4, "mon": "Recent publication and multi-part series structure indicates strong ongoing standardization momentum", "r": 4, "rn": "Highly relevant for organizations implementing ML systems requiring formal governance controls", "c": ["Policy/governance", "Data formats/interop"]}


draft_name: iso-22733-1-2022
prompt_hash: d8e5046792496f84
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:13.730899+00:00
response_json:
  {"name": "iso-22733-1-2022", "s": "Specifies evaluation methods for autonomous emergency braking systems in vehicle-to-vehicle collision scenarios. Focuses on testing protocols for longitudinal accident mitigation performance.", "n": 2, "nn": "Applies established testing methodology to autonomous vehicle safety; incremental advancement in specific domain", "m": 4, "mn": "Published in 2022, represents mature testing standard for automotive safety systems", "o": 1, "on": "Unique to vehicle safety domain; minimal overlap with general AI/agent standards", "mo": 2, "mon": "Domain-specific standard with limited cross-domain momentum or relevance to broader AI standardization", "r": 1, "rn": "Limited relevance to general AI agent standards; highly specialized to automotive collision avoidance", "c": ["Other AI/agent"]}


draft_name: iso-np-4669-3
prompt_hash: 81b86bd11ab61724
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:13.739822+00:00
response_json:
  {"name": "iso-np-4669-3", "s": "Specifies requirements and procedures for assessing trustworthiness of documents received from third parties. Addresses document validation and trust evaluation in information management contexts.", "n": 2, "nn": "Applies document management principles to trustworthiness assessment; limited novelty for AI-specific applications", "m": 1, "mn": "Early stage NP (New Project) with no publication date; pre-standardization phase with minimal maturity", "o": 3, "on": "Some conceptual overlap with agent authentication and source verification concerns", "mo": 1, "mon": "Early development stage with unclear momentum or adoption trajectory", "r": 2, "rn": "Tangentially relevant to AI agent identity and trust, but primarily document-focused rather than agent-focused", "c": ["Agent identity/auth", "Policy/governance"]}


draft_name: iso-iec-23093-5-2025
prompt_hash: 83ed41997a34b4ae
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:13.748492+00:00
response_json:
  {"name": "iso-iec-23093-5-2025", "s": "Specifies data formats and APIs for mission management and control in Internet of Media Things networks. Defines XML-based structured formats for mission assignment and user command protocols.", "n": 3, "nn": "Develops specialized data format specifications for IoMT autonomous collaboration; moderate technical novelty in media-specific protocols", "m": 4, "mn": "Published in 2025 as part of ISO/IEC 23093 series; demonstrates mature standardization of IoMT specifications", "o": 2, "on": "Limited overlap; specialized to media-focused IoT with distinct protocol requirements from general agent standards", "mo": 4, "mon": "Recent publication in established series indicates ongoing active standardization of IoMT domain", "r": 3, "rn": "Relevant for media-specific autonomous systems and IoT agent coordination, moderate general applicability", "c": ["Data formats/interop", "A2A protocols", "Autonomous netops"]}


draft_name: iso-iec-dts-42119-3.2
prompt_hash: 6648ac6f21702ff9
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:25.897998+00:00
response_json:
  {"name": "iso-iec-dts-42119-3.2", "s": "Provides guidance on verification and validation processes for AI systems throughout their lifecycle, covering formal methods, simulation, and evaluation approaches. Applicable across organizations developing, deploying, or using AI systems.", "n": 3, "nn": "Standard verification/validation framework; addresses established practices rather than novel approaches", "m": 4, "mn": "DTS (Draft Technical Specification) stage; well-developed guidance based on ISO/IEC 22989 framework", "o": 3, "on": "Overlaps with general AI governance and testing standards; complements ISO 18374 on data aspects", "mo": 4, "mon": "Active development through ISO/IEC JTC 1/SC 42; addresses critical industry need for V&V standards", "r": 5, "rn": "Highly relevant to AI system deployment safety and quality assurance across all sectors", "c": ["Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: iso-iec-pwi-17866
prompt_hash: 603fb774be4b3f5c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:25.919044+00:00
response_json:
  {"name": "iso-iec-pwi-17866", "s": "Provides best practice guidance for organizations to mitigate ethical and societal concerns arising from AI deployment. Addresses responsible AI implementation across organizational contexts.", "n": 2, "nn": "General ethical guidance framework; covers well-established responsible AI principles", "m": 1, "mn": "PWI (Proposed Work Item) stage; early development with minimal concrete deliverables documented", "o": 4, "on": "Significant overlap with broader AI governance and ethics standards in development; complements DTS 42119-3.2", "mo": 2, "mon": "Early-stage proposal; limited visibility into development progress or adoption trajectory", "r": 4, "rn": "Important for responsible AI governance but addresses established concerns rather than novel challenges", "c": ["Policy/governance", "AI safety/alignment", "Human-agent interaction"]}


draft_name: iso-iec-tr-17903-2024
prompt_hash: 4c3bd3434173f19b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:25.928490+00:00
response_json:
  {"name": "iso-iec-tr-17903-2024", "s": "Technical report surveying machine learning computing devices, including terminology, characteristics, and approaches for optimizing device performance. Relevant to organizations of all sizes implementing ML systems.", "n": 2, "nn": "Comprehensive survey of existing ML device landscape; documents current practices rather than innovations", "m": 4, "mn": "Published TR (Technical Report) as of 2024; mature informational document with current examples", "o": 2, "on": "Limited overlap; focuses on hardware/device layer distinct from higher-level AI system concerns", "mo": 3, "mon": "Recently published; establishes reference baseline but no indication of active extension work", "r": 3, "rn": "Relevant for ML infrastructure but limited applicability to AI governance, safety, or ethical concerns", "c": ["Model serving/inference", "Data formats/interop", "Other AI/agent"]}


draft_name: iso-iec-awi-31310-1
prompt_hash: 944cac75aac751b9
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:25.938117+00:00
response_json:
  {"name": "iso-iec-awi-31310-1", "s": "Describes ontology framework and foundational concepts for trustworthiness in information technology systems. Establishes taxonomies and definitions for trustworthiness attributes and relationships.", "n": 3, "nn": "Novel ontological formalization of trustworthiness; provides structured framework for cross-domain application", "m": 2, "mn": "AWI (Approved Work Item) stage; foundational framework in development; Part 1 of multi-part standard", "o": 2, "on": "Foundational layer supporting other AI standards; complements but distinct from application-specific guidance", "mo": 3, "mon": "Active work item with multi-part structure indicating sustained development effort", "r": 4, "rn": "Relevant for establishing coherent trustworthiness frameworks across AI and broader IT systems", "c": ["Data formats/interop", "Policy/governance", "AI safety/alignment"]}


draft_name: iso-18374-2025
prompt_hash: 4c143573a3774636
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:25.948353+00:00
response_json:
  {"name": "iso-18374-2025", "s": "Defines requirements for developing AI/augmented intelligence systems for dental 2D radiograph analysis, covering data generation, annotation, and processing standards. Ensures systems achieve intended goals with appropriate training and validation data.", "n": 3, "nn": "Domain-specific application of AI/AuI standards to dentistry; novel in sector-specific adaptation but follows established AI development patterns", "m": 4, "mn": "Published standard as of 2025; mature, sector-specific guidance with clear implementation requirements", "o": 2, "on": "Domain-specific application with limited overlap; complements DTS 42119-3.2 with dental-specific instantiation", "mo": 4, "mon": "Recently published; indicates active standardization effort for regulated medical AI applications", "r": 3, "rn": "Highly relevant for dental AI deployment; limited relevance to broader AI governance frameworks", "c": ["Policy/governance", "Data formats/interop", "AI safety/alignment"]}


draft_name: iso-awi-18460
prompt_hash: 29e8c64ffd2ca91f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:36.843837+00:00
response_json:
  {"name": "iso-awi-18460", "s": "Safety standard for autonomous combustion-engine-powered lawnmowers with metallic or non-metallic cutting means. Specifies hazard verification and safety requirements for intended use and foreseeable misuse.", "n": 2, "nn": "Domain-specific safety standard with limited novelty to general AI/agent systems; focuses on mechanical hazards rather than AI oversight", "m": 4, "mn": "Published standard in mature development stage; Type C standard indicates established safety framework", "o": 1, "on": "Minimal overlap with AI system standards; addresses physical equipment safety rather than AI governance", "mo": 2, "mon": "Niche application area; limited momentum in broader AI/agent standards landscape", "r": 1, "rn": "Low relevance to general AI agent systems; specific to lawn equipment autonomous functions", "c": ["Other AI/agent"]}


draft_name: iso-iec-pwi-18966
prompt_hash: dd774ad5447ec520
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:36.865750+00:00
response_json:
  {"name": "iso-iec-pwi-18966", "s": "Proposed standard for oversight mechanisms of AI systems. Addresses governance and control frameworks for AI system deployment and monitoring.", "n": 4, "nn": "High novelty as early-stage standard addressing critical AI governance gap; PWI stage indicates emerging work", "m": 1, "mn": "Very early stage (PWI - Preliminary Work Item); minimal content available; substantial development required", "o": 2, "on": "Potentially overlaps with health informatics AI (18988) and could relate to supervised agent architectures", "mo": 4, "mon": "Strong momentum as proactive governance standard addressing urgent AI oversight needs", "r": 5, "rn": "Highly relevant to AI agent systems governance and safety; addresses fundamental oversight requirements", "c": ["AI safety/alignment", "Policy/governance", "Human-agent interaction"]}


draft_name: iso-iec-15938-17-2024
prompt_hash: d486d8482393e2fe
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:36.875304+00:00
response_json:
  {"name": "iso-iec-15938-17-2024", "s": "Specifies neural network compression techniques for multimedia content analysis. Defines compression methods, quantization, entropy coding, and integration with existing exchange formats.", "n": 3, "nn": "Moderate novelty; compression of neural networks is established area but standardization of codec adds value", "m": 5, "mn": "Published 2024 standard; mature specification with complete technical details and decoding requirements", "o": 3, "on": "Related to model serving and data formats; some overlap with neural network interchange standards", "mo": 3, "mon": "Steady momentum in multimedia and neural network standardization; incremental progress on compression", "r": 3, "rn": "Relevant to model serving/inference efficiency but limited direct relevance to agent systems and oversight", "c": ["Data formats/interop", "Model serving/inference"]}


draft_name: iso-iec-cd-tr-3510
prompt_hash: 296c405f3f58a065
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:36.884877+00:00
response_json:
  {"name": "iso-iec-cd-tr-3510", "s": "Technical report on applying AI technologies within health informatics domain. Addresses AI implementation, integration, and best practices for healthcare information systems.", "n": 3, "nn": "Moderate novelty; domain application of established AI techniques to healthcare; CD stage indicates intermediate maturity", "m": 2, "mn": "Committee Draft stage; significant development still needed; incomplete specification", "o": 3, "on": "Overlaps with general AI safety/governance (18966) and could share interoperability principles", "mo": 3, "mon": "Reasonable momentum driven by healthcare AI adoption but constrained by regulatory complexity", "r": 3, "rn": "Relevant to healthcare AI agents and safety but domain-specific; limited cross-domain applicability", "c": ["AI safety/alignment", "Human-agent interaction", "Policy/governance"]}


draft_name: iso-cd-tr-22957
prompt_hash: aeaeca53897f2f19
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:48.311866+00:00
response_json:
  {"name": "iso-cd-tr-22957", "s": "Guidelines for organizations implementing enterprise content management (ECM) and electronically stored information (ESI) systems. Covers planning, design, and implementation across business analysis, vendor selection, and technology deployment. Addresses both in-house and outsourced/cloud solutions with multi-disciplinary stakeholder involvement.", "n": 2, "nn": "Established domain with incremental updates; content management best practices are well-documented", "m": 4, "mn": "Technical report status indicates mature guidance; likely builds on established ISO standards", "o": 2, "on": "Minimal overlap with AI/agent-focused standards; distinct from modern data governance concerns", "mo": 2, "mon": "Document management is stable field; limited momentum toward new paradigms", "r": 2, "rn": "Low relevance to autonomous systems, AI agents, or distributed intelligence networks", "c": ["Policy/governance", "Data formats/interop"]}


draft_name: iso-iec-tr-20226-2025
prompt_hash: 3475a7469ae45cc3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:48.332336+00:00
response_json:
  {"name": "iso-iec-tr-20226-2025", "s": "Overview of environmental sustainability aspects of AI systems throughout their lifecycle, including workload optimization, resource utilization, carbon impact, and pollution. Provides potential metrics for assessment but explicitly excludes how AI improves sustainability outcomes.", "n": 4, "nn": "Emerging domain addressing growing concern about AI's environmental footprint; relatively novel focus area", "m": 2, "mn": "Technical report status and recent 2025 publication suggest early-stage standardization; metrics still developing", "o": 1, "on": "Unique focus on environmental sustainability of AI systems; no heavy overlap with other standards", "mo": 4, "mon": "Strong momentum driven by ESG requirements and regulatory pressure on AI environmental impact", "r": 3, "rn": "Relevant to AI/agent systems but focused on environmental rather than operational aspects", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-20682-2026
prompt_hash: d7067aaf108cb216
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:48.341964+00:00
response_json:
  {"name": "iso-20682-2026", "s": "Specifies risk and reliability requirements for autonomous underwater vehicles (AUVs) in underwater environments. Covers sensors, communication devices, and mission-critical components while excluding AUGs, batteries, and electrical motors.", "n": 3, "nn": "Specialized domain for underwater robotics; moderate novelty in formal risk/reliability frameworks", "m": 3, "mn": "Upcoming 2026 publication suggests near-final standardization; builds on established AUV operational knowledge", "o": 1, "on": "Highly specialized to underwater vehicles; minimal overlap with other standards outside marine robotics", "mo": 2, "mon": "Niche domain with steady but not accelerating interest; specialized application area", "r": 2, "rn": "Limited relevance to general AI agents or smart systems; specific to underwater autonomous platforms", "c": ["Autonomous netops", "AI safety/alignment"]}


draft_name: iso-iec-pwi-20822
prompt_hash: 09bd9bfcbb717557
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:48.352318+00:00
response_json:
  {"name": "iso-iec-pwi-20822", "s": "Standard addressing domain knowledge trustworthiness evaluation for smart cities. Focus on assessing reliability and credibility of knowledge used in urban intelligence systems.", "n": 3, "nn": "Smart cities domain is evolving; trustworthiness evaluation for domain knowledge is gaining emphasis", "m": 1, "mn": "PWI (Preliminary Work Item) status indicates early-stage development; abstract minimal, unclear maturity", "o": 2, "on": "Some overlap with AI trustworthiness and data quality standards; smart cities context is specific", "mo": 4, "mon": "Smart cities momentum is strong; trustworthiness concerns increasingly critical for urban systems", "r": 4, "rn": "Relevant to AI agents in distributed urban environments and knowledge-based decision-making", "c": ["AI safety/alignment", "Policy/governance", "Agent identity/auth"]}


draft_name: iso-iec-tr-5259-6
prompt_hash: 6e94015662039ef2
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:48.361138+00:00
response_json:
  {"name": "iso-iec-tr-5259-6", "s": "Part 6 of data quality series addressing visualization frameworks for assessing data quality in analytics and machine learning systems. Provides tools for understanding and communicating data fitness for ML applications.", "n": 3, "nn": "Data quality visualization is emerging specialization; part of broader ISO/IEC 5259 series on ML data quality", "m": 2, "mn": "Technical report in multi-part series suggests developing standardization; visualization frameworks still maturing", "o": 3, "on": "Moderate overlap with other ISO/IEC 5259 parts and general data governance standards", "mo": 3, "mon": "Data quality concerns rising with ML adoption; visualization component adds practical value", "r": 3, "rn": "Relevant to ML systems and agent training data quality; important for AI reliability", "c": ["Data formats/interop", "AI safety/alignment", "Model serving/inference"]}


draft_name: iso-iec-tr-21221-2025
prompt_hash: 4e783e6d73e9475a
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:59.221974+00:00
response_json:
  {"name": "iso-iec-tr-21221-2025", "s": "Describes how AI systems deliver functional, economic, environmental, social, and cultural benefits to stakeholders. Includes illustrative use cases demonstrating beneficial AI outcomes across multiple dimensions.", "n": 3, "nn": "Focuses on benefit delivery rather than technical mechanisms; adds stakeholder perception lens to AI system evaluation", "m": 4, "mn": "Published standard (2025) with clear scope and use cases; mature framing of benefits framework", "o": 2, "on": "Minimal overlap; unique focus on benefit articulation rather than technical architecture or methods", "mo": 3, "mon": "Published TR suggests stable topic; benefits focus is growing area but not cutting-edge", "r": 4, "rn": "Highly relevant for stakeholder communication and responsible AI framing; supports governance discussions", "c": ["Policy/governance", "Human-agent interaction", "AI safety/alignment"]}


draft_name: iso-iec-ts-23220-6-2025
prompt_hash: 09838dfabf568ea4
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:59.242358+00:00
response_json:
  {"name": "iso-iec-ts-23220-6-2025", "s": "Specifies certification mechanisms for trustworthiness of secure areas in mobile identity management systems. Defines capabilities descriptors and certificate structures for eID providers and attestation services.", "n": 3, "nn": "Extends existing mobile identity framework; adds trustworthiness certification layer specific to secure area providers", "m": 4, "mn": "Published TS (2025) with specific technical requirements; builds on established ISO/IEC 23220-1 foundation", "o": 2, "on": "Specialized domain (eID/mobile identity); limited overlap with AI-focused standards", "mo": 3, "mon": "Published in 2025; incremental enhancement to established mobile identity ecosystem", "r": 3, "rn": "Relevant for identity/authentication in agent systems; supports secure agent identity verification", "c": ["Agent identity/auth", "Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-cd-42102
prompt_hash: 0cea293c1346fd5d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:59.253355+00:00
response_json:
  {"name": "iso-iec-cd-42102", "s": "Provides a framework of descriptors for characterizing AI system methods and capabilities consistently. Enables stakeholders to describe and achieve common understanding of AI systems across lifecycle stages.", "n": 4, "nn": "Develops comprehensive characterization vocabulary for AI systems; addresses communication gap across stakeholder roles", "m": 2, "mn": "Committee Draft stage indicates early development; framework not yet finalized", "o": 3, "on": "Moderate overlap with other AI characterization/assessment standards; complements but distinct from robustness/synthetic data specs", "mo": 4, "mon": "CD status suggests active development with institutional backing; characterization frameworks gaining traction", "r": 5, "rn": "Highly relevant for interoperability and common understanding across AI agent ecosystems", "c": ["Data formats/interop", "Policy/governance", "Human-agent interaction", "AI safety/alignment"]}


draft_name: iso-iec-cd-tr-42103
prompt_hash: 3349c26c258868ed
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:59.262281+00:00
response_json:
  {"name": "iso-iec-cd-tr-42103", "s": "Provides overview of synthetic data concepts, methods, uses, and considerations in AI system contexts. Covers generation approaches and application scenarios for synthetic data in AI.", "n": 3, "nn": "Synthesizes synthetic data landscape for AI; addresses emerging practice area with growing importance", "m": 2, "mn": "Committee Draft TR indicates exploratory stage; foundational overview rather than prescriptive guidance", "o": 2, "on": "Unique focus on synthetic data in AI; minimal overlap with other drafts though relevant to training considerations", "mo": 5, "mon": "Synthetic data is high-momentum area; CD status with TR designation shows strong interest and active development", "r": 4, "rn": "Relevant for training data management, bias mitigation, and privacy-preserving AI system development", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference", "Other AI/agent"]}


draft_name: iso-iec-dis-24029-3
prompt_hash: be8598c5d5d72912
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:15:59.270985+00:00
response_json:
  {"name": "iso-iec-dis-24029-3", "s": "Provides methodology for applying statistical methods to assess robustness properties of neural networks. Guides selection, application, and management of statistical techniques for robustness evaluation.", "n": 4, "nn": "Focuses on practical statistical methodologies for robustness assessment; methodologically detailed guidance for testing neural networks", "m": 2, "mn": "DIS stage indicates draft for public comment; methodology not yet formally approved", "o": 2, "on": "Specific to robustness assessment of neural networks; complements but distinct from general AI characterization", "mo": 4, "mon": "Robustness assessment gaining regulatory importance; DIS status indicates progression toward standard", "r": 4, "rn": "Relevant for AI safety, validation, and regulatory compliance of neural network-based agent systems", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference"]}


draft_name: iso-iec-dis-42105
prompt_hash: 51231076cc42261d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:10.135297+00:00
response_json:
  {"name": "iso-iec-dis-42105", "s": "Provides guidance on human oversight and monitoring of AI systems throughout their lifecycle. Extends ISO/IEC TS 8200 with practical requirements for human control mechanisms. Applicable across all organization types.", "n": 3, "nn": "Human oversight is established practice; guidance documents are incremental to existing frameworks", "m": 4, "mn": "DIS stage indicates advanced development; builds on mature precedent standards", "o": 3, "on": "Overlaps with 22443 on governance/management; aligns with general AI system lifecycle standards", "mo": 4, "mon": "Active development stage suggests strong organizational commitment to standardization", "r": 4, "rn": "Highly relevant for critical AI deployments requiring human-in-the-loop verification", "c": ["Policy/governance", "Human-agent interaction", "AI safety/alignment"]}


draft_name: iso-iec-tr-42106
prompt_hash: 6aa9ddeb3ef9e0bc
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:10.158199+00:00
response_json:
  {"name": "iso-iec-tr-42106", "s": "Overview document for differentiated benchmarking approaches to evaluate AI system quality characteristics. Technical report focused on assessment methodologies. Supports comparative evaluation across varying AI system types.", "n": 2, "nn": "Benchmarking is well-established; this is primarily a survey/overview of existing approaches", "m": 2, "mn": "TR designation indicates preliminary/informational content rather than normative requirements", "o": 2, "on": "Unique focus on benchmarking methodology; limited overlap with other governance/safety documents", "mo": 3, "mon": "Early-stage TR suggests emerging consensus on benchmarking differentiation needs", "r": 3, "rn": "Relevant for organizations evaluating and comparing AI system quality assurance", "c": ["Model serving/inference", "Data formats/interop", "Other AI/agent"]}


draft_name: iso-fdis-15801
prompt_hash: 6aa218d7c3b22ab9
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:10.167339+00:00
response_json:
  {"name": "iso-fdis-15801", "s": "Specifies requirements for trustworthy and reliable management of electronically stored information over time. Covers system implementation, audit, and policies for maintaining ESI integrity. Applicable to any organization storing digital records.", "n": 2, "nn": "Document archival and trustworthiness are mature domains; FDIS stage represents consolidation of existing practice", "m": 5, "mn": "FDIS (Final Draft International Standard) indicates near-complete standardization; ready for publication", "o": 5, "on": "Tangentially related to AI governance but primarily focuses on general information management; heavy overlap with existing records management standards", "mo": 4, "mon": "Advanced stage indicates strong support; likely to become published standard soon", "r": 2, "rn": "Limited direct relevance to AI systems; primarily applicable to digital record preservation infrastructure", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-wd-ts-22440
prompt_hash: c412252ded480d09
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:10.175873+00:00
response_json:
  {"name": "iso-iec-wd-ts-22440", "s": "Provides requirements and guidance for functional safety in AI systems, covering ML safety, security threats affecting safety, and use of AI in safety-critical functions. Addresses design, development, and verification of safety-related AI components.", "n": 4, "nn": "Combines established safety engineering with emerging AI/ML concerns; moderately novel intersection of two mature domains", "m": 3, "mn": "WD (Working Draft) stage indicates early-stage development; substantial work remains before standardization", "o": 3, "on": "Overlaps with 42105 on AI governance and 22443 on ethical concerns; complements but distinct from each", "mo": 4, "mon": "Active working draft development suggests commitment; functional safety in AI is priority area", "r": 5, "rn": "Highly relevant for safety-critical AI deployments in autonomous systems, medical devices, industrial control", "c": ["AI safety/alignment", "Autonomous netops", "Policy/governance"]}


draft_name: iso-iec-cd-ts-22443
prompt_hash: ec345cf1b85eeca1
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:10.184906+00:00
response_json:
  {"name": "iso-iec-cd-ts-22443", "s": "Guidance on identifying and addressing societal concerns and ethical considerations in AI systems throughout lifecycle. Expands governance and impact assessment frameworks. Addresses potential harms to individuals and society.", "n": 3, "nn": "AI ethics and governance are emerging; guidance is somewhat novel but builds on established CSR/impact assessment practices", "m": 3, "mn": "CD (Committee Draft) stage indicates mid-stage development; significant revision likely before publication", "o": 3, "on": "Overlaps with 42105 on human oversight and 22440 on safety; distinct focus on broader ethical/societal impacts", "mo": 4, "mon": "Committee-level development suggests broad stakeholder engagement and commitment", "r": 4, "rn": "Increasingly relevant as organizations face regulatory and stakeholder pressure on AI ethics and governance", "c": ["Policy/governance", "Human-agent interaction", "AI safety/alignment"]}


draft_name: iso-iec-cd-23282
prompt_hash: bdda8fc5565ad6f8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:24.664829+00:00
response_json:
  {"name": "iso-iec-cd-23282", "s": "Specifies evaluation methods for natural language processing systems, including quantitative metrics and guidance on implementation and interpretation. Covers requirements for technical resources involved in NLP system assessment and functional suitability measurement.", "n": 3, "nn": "Standard evaluation frameworks for NLP are established; this contribution adds structured ISO guidance but represents incremental formalization rather than novel methodology.", "m": 4, "mn": "Committee draft stage indicates mature conceptualization; ready for standardization but still undergoing refinement before final publication.", "o": 2, "on": "Minimal overlap with other drafts; specialized focus on NLP evaluation metrics distinguishes it from broader AI governance or trust frameworks.", "mo": 2, "mon": "Limited evidence of industry adoption momentum; standardization process is ongoing but lacks clear momentum indicators in abstract.", "r": 3, "rn": "Moderately relevant to AI system quality assurance; important for NLP deployment but narrow scope limits broader applicability to agent systems.", "c": ["Policy/governance", "Model serving/inference", "Data formats/interop"]}


draft_name: iso-16363-2025
prompt_hash: 6220a66bded25a7f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:24.685836+00:00
response_json:
  {"name": "iso-16363-2025", "s": "Defines CCSDS Recommended Practice for auditing and certifying trustworthy digital repositories across all repository types. Establishes baseline standards for assessing repository trustworthiness.", "n": 2, "nn": "Digital repository audit frameworks are well-established; this 2025 update formalizes existing CCSDS practices into ISO standard with limited conceptual novelty.", "m": 5, "mn": "Published standard (2025) indicates high maturity; builds on established CCSDS recommendations demonstrating mature, operationalized approach.", "o": 3, "on": "Moderate overlap with ISO 16919 (complementary certification body requirements) and some overlap with data governance frameworks.", "mo": 4, "mon": "Recent publication date (March 2025) and CCSDS pedigree suggest moderate-to-good adoption momentum in space/archival communities.", "r": 2, "rn": "Limited relevance to agent systems; primarily addresses static data repository trustworthiness rather than autonomous agent operations or intelligence.", "c": ["Policy/governance", "Data formats/interop"]}


draft_name: iso-16919-2025
prompt_hash: 759bf8338adc7e4c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:24.696321+00:00
response_json:
  {"name": "iso-16919-2025", "s": "Defines requirements for organizations performing audit and certification of trustworthy digital repositories using ISO 16363 standards. Specifies operational requirements based on ISO/IEC 17021-1 conformity assessment metrics.", "n": 2, "nn": "Conformity assessment body requirements follow established ISO/IEC 17021 framework; application to digital repositories represents standard adaptation rather than novel methodology.", "m": 5, "mn": "Published standard (March 2025) with clear grounding in mature ISO/IEC 17021 framework indicates high operational maturity.", "o": 4, "on": "Heavy overlap with ISO 16363 (assessment object) and ISO/IEC 17021-1 (framework basis); strongly complementary rather than independent.", "mo": 4, "mon": "Recent publication and CCSDS foundation suggest solid adoption momentum in space/data management sectors.", "r": 2, "rn": "Minimal relevance to agent systems; focuses on static repository audit bodies rather than dynamic autonomous agent trustworthiness or operations.", "c": ["Policy/governance"]}


draft_name: iso-iec-dtr-23888-1
prompt_hash: be8f389cf63f4916
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:24.708131+00:00
response_json:
  {"name": "iso-iec-dtr-23888-1", "s": "Provides vision and scenarios for artificial intelligence applied to multimedia systems under ISO/IEC JTC 1/SC 29 standardization effort. Establishes foundational concepts and use cases for AI-multimedia integration.", "n": 3, "nn": "AI-multimedia integration is active research area; this visioning document establishes direction but lacks concrete technical specifications or novel architectural contributions.", "m": 2, "mn": "Draft Technical Report (DTR) stage indicates early-stage conceptualization; preliminary framework still being developed before advancement to full standard.", "o": 1, "on": "Unique focus on multimedia-specific AI scenarios; minimal direct overlap with other drafts focused on NLP, repositories, or medical device ML.", "mo": 2, "mon": "DTR status and missing page count suggest early-stage work with uncertain adoption trajectory.", "r": 3, "rn": "Moderately relevant to multimodal AI agents; provides visioning for multimedia AI but lacks operational guidance for agent deployment.", "c": ["Model serving/inference", "Data formats/interop", "Other AI/agent"]}


draft_name: iso-dts-24971-2.2
prompt_hash: 4848ae42a1870d5d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:24.723193+00:00
response_json:
  {"name": "iso-dts-24971-2.2", "s": "Provides guidance on applying ISO 14971 risk management to machine learning-enabled medical devices. Addresses ML-specific risks including data management, bias, model training, evaluation, and continuous learning in medical contexts.", "n": 4, "nn": "ML-specific medical device risk guidance is novel contribution; systematic treatment of ML risks (bias, retraining, data management) extends traditional risk frameworks into adaptive systems domain.", "m": 3, "mn": "Draft Technical Specification (DTS) stage indicates developed but not-yet-finalized guidance; conceptually mature but pending standardization completion.", "o": 1, "on": "Unique medical device + ML focus; minimal overlap with other drafts except general AI governance considerations.", "mo": 3, "mon": "DTS status and regulatory medical device context suggest moderate momentum; regulatory drivers may accelerate adoption.", "r": 4, "rn": "Highly relevant to autonomous agent safety; directly addresses adaptive systems risk management, continuous learning, and bias mitigation applicable to agents.", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference"]}


draft_name: iso-iec-15938-18-2025
prompt_hash: 8e3265c7bd0bd385
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:34.596872+00:00
response_json:
  {"name": "iso-iec-15938-18-2025", "s": "Specifies conformance testing procedures and reference software for neural network compression implementations under ISO/IEC 15938-17. Provides bitstreams and validation methods for standardized compression techniques.", "n": 2, "nn": "Narrow focus on compression conformance testing; limited novelty as it primarily operationalizes an existing standard.", "m": 5, "mn": "Published standard (2025) with complete specifications and reference implementations.", "o": 2, "on": "Minimal overlap with other drafts; specialized compression-focused standard.", "mo": 3, "mon": "Published but narrow scope limits broader adoption momentum.", "r": 2, "rn": "Relevant primarily to neural network model optimization and compression specialists.", "c": ["Data formats/interop", "Model serving/inference"]}


draft_name: iso-dis-24051-1
prompt_hash: ab3f8c8c273b70e6
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:34.619002+00:00
response_json:
  {"name": "iso-dis-24051-1", "s": "Establishes general principles for applying artificial intelligence methods in medical laboratory settings. Covers machine learning, deep learning, neural networks, expert systems, and image analysis.", "n": 3, "nn": "Applies existing AI concepts to medical domain; some novelty in establishing medical lab-specific governance framework.", "m": 2, "mn": "Draft standard (DIS) still in development; not yet published.", "o": 3, "on": "Moderate overlap with Part 2 on digital pathology; general principles layer above domain-specific implementations.", "mo": 3, "mon": "Active development in healthcare AI regulation suggests sustained momentum.", "r": 4, "rn": "Highly relevant to regulated medical AI deployment and clinical laboratory operations.", "c": ["Policy/governance", "AI safety/alignment", "Data formats/interop"]}


draft_name: iso-cd-24051-2
prompt_hash: faf6913743e45360
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:34.629713+00:00
response_json:
  {"name": "iso-cd-24051-2", "s": "Specifies requirements for digitizing pathology slides, processing whole slide images, and applying AI-based image analysis to anatomical pathology. Covers workflow from slide preparation through automated analysis.", "n": 3, "nn": "Operationalizes digital pathology workflows with AI; moderate novelty in establishing medical-specific image analysis standards.", "m": 1, "mn": "Committee Draft (CD) stage; early development with significant revisions likely.", "o": 4, "on": "High overlap with Part 1 on medical lab AI principles; Part 2 is domain-specific instantiation.", "mo": 3, "mon": "Digital pathology adoption accelerating; draft addresses emerging clinical need.", "r": 4, "rn": "Directly applicable to pathology labs implementing AI-assisted diagnostics.", "c": ["Policy/governance", "AI safety/alignment", "Model serving/inference", "Data formats/interop"]}


draft_name: iso-22133-2026
prompt_hash: 79a3cd6278962153
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:34.638987+00:00
response_json:
  {"name": "iso-22133-2026", "s": "Defines control protocols, message formats, and functional requirements for test object monitoring in autonomous vehicle and active safety testing. Enables multi-vendor interoperable test environments.", "n": 3, "nn": "Novel in standardizing cross-vendor test object communication; primarily integrates existing testing concepts.", "m": 4, "mn": "Published standard (2026) with complete specifications.", "o": 1, "on": "Unique focus on test vehicle control protocols; minimal overlap with other drafts.", "mo": 4, "mon": "Strong momentum from autonomous vehicle industry demand for standardized testing.", "r": 4, "rn": "Critical for autonomous vehicle development and safety validation.", "c": ["A2A protocols", "Autonomous netops", "Data formats/interop"]}


draft_name: iso-iec-22989-2022-damd-1
prompt_hash: aa959f85f5579ac3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:34.648202+00:00
response_json:
  {"name": "iso-iec-22989-2022-damd-1", "s": "Amendment to AI concepts and terminology standard adding definitions and frameworks specific to generative AI. Extends terminology for emerging generative AI systems.", "n": 2, "nn": "Incremental amendment; extends existing standard with generative AI concepts rather than establishing new principles.", "m": 3, "mn": "Amendment to published standard (2022 base); amendment status unclear but likely finalized.", "o": 2, "on": "Minimal overlap; primarily terminology and definitional work.", "mo": 4, "mon": "Generative AI prominence drives continued updates to foundational standards.", "r": 3, "rn": "Relevant to standards developers and those implementing ISO AI terminology frameworks.", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-23053-2022-damd-1
prompt_hash: bfa32b5d3a015b3b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:45.879252+00:00
response_json:
  {"name": "iso-iec-23053-2022-damd-1", "s": "Amendment to the Framework for AI Systems Using ML that specifically addresses generative AI capabilities and requirements. Extends existing ISO/IEC 23053:2022 with generative AI considerations for standardized AI system development.", "n": 2, "nn": "Incremental amendment to existing standard rather than novel framework; generative AI specifics build on established ML foundations", "m": 5, "mn": "Published standard amendment with full ISO/IEC approval and formal status", "o": 4, "on": "Overlaps significantly with DIS 25059 and other SC 42 AI quality/framework standards; part of coordinated standards family", "mo": 3, "mon": "Published amendment indicates active standardization but limited ongoing development momentum", "r": 4, "rn": "Highly relevant for AI system governance and standardized development practices across industries", "c": ["Policy/governance", "Model serving/inference", "Data formats/interop"]}


draft_name: iso-iec-dis-25059
prompt_hash: 0bd1d870acfef35b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:45.900355+00:00
response_json:
  {"name": "iso-iec-dis-25059", "s": "Defines quality models and characteristics for evaluating AI systems and services as an extension to SQuaRE standards. Provides consistent terminology and metrics for specifying and measuring AI system quality.", "n": 3, "nn": "Application-specific quality model for AI; builds on established SQuaRE framework with AI-specific adaptations", "m": 4, "mn": "DIS (Draft International Standard) status indicates advanced development stage with formal review underway", "o": 4, "on": "Strong overlap with ISO/IEC 23053 on AI frameworks and quality aspects; complementary to human-machine teaming standard", "mo": 4, "mon": "DIS stage suggests active progression toward publication with substantial committee engagement", "r": 5, "rn": "Critical for establishing measurable AI system quality requirements and evaluation criteria", "c": ["Policy/governance", "Data formats/interop", "Human-agent interaction"]}


draft_name: iso-iec-cd-tr-42109
prompt_hash: 4c6342c5b1c018d7
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:45.911099+00:00
response_json:
  {"name": "iso-iec-cd-tr-42109", "s": "Technical report documenting use cases and practical scenarios for human-machine teaming in AI systems. Provides real-world examples and guidance for implementing collaborative AI-human systems.", "n": 3, "nn": "Use case collection represents practical knowledge synthesis rather than novel technical contribution; TR format indicates guidance rather than normative standard", "m": 2, "mn": "CD (Committee Draft) status indicates early development stage; technical report format suggests lower formality than full standards", "o": 3, "on": "Moderate overlap with human-agent interaction aspects of other SC 42 standards; complements quality and framework standards", "mo": 2, "mon": "CD stage and TR designation suggest slower progression; may serve supporting rather than primary standardization role", "r": 4, "rn": "Valuable for practitioners implementing human-AI collaboration; provides grounding for abstract standards", "c": ["Human-agent interaction", "Policy/governance", "Autonomous netops"]}


draft_name: iso-iec-np-ts-42110
prompt_hash: 050d1c5fc7bc1d6a
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:45.922883+00:00
response_json:
  {"name": "iso-iec-np-ts-42110", "s": "Proposes comprehensive AI inference framework covering concepts, modeling, components, processes and performance for AI systems. Addresses generalized inference requirements across diverse AI system types.", "n": 3, "nn": "Inference framework is established concept; contribution focuses on standardized terminology and comprehensive modeling rather than novel methodology", "m": 1, "mn": "NP (New Proposal) status indicates earliest development stage with minimal formalization or committee consensus", "o": 3, "on": "Moderate overlap with model serving aspects in other standards; inference performance relates to SQuaRE quality models", "mo": 1, "mon": "NP status indicates very early stage with uncertain trajectory; limited evidence of substantial momentum", "r": 4, "rn": "Relevant for standardizing AI inference practices and performance evaluation across deployment scenarios", "c": ["Model serving/inference", "Data formats/interop"]}


draft_name: iso-iec-awi-ts-42111
prompt_hash: 73bf6eac40a5b7a0
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:16:45.932928+00:00
response_json:
  {"name": "iso-iec-awi-ts-42111", "s": "Provides guidance for developing and deploying lightweight AI systems designed for resource-constrained environments. Addresses optimization strategies for limited computational and memory resources.", "n": 2, "nn": "Lightweight AI systems represent established practice; guidance document synthesizes known optimization approaches rather than introducing novel concepts", "m": 1, "mn": "AWI (Approved Work Item) status indicates formal initiation but early development stage with minimal draft maturity", "o": 2, "on": "Minimal overlap with other standards; addresses specialized niche of resource-constrained deployment distinct from general AI frameworks", "mo": 2, "mon": "AWI status shows formal approval but uncertain development velocity; topic specificity may limit broad engagement", "r": 3, "rn": "Moderately relevant for edge computing and IoT deployment scenarios; niche applicability compared to foundational standards", "c": ["Model serving/inference", "Autonomous netops"]}


draft_name: iso-iec-dts-42112
prompt_hash: b7d7dbdf1cce5e75
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:01.734644+00:00
response_json:
  {"name": "iso-iec-dts-42112", "s": "Provides guidance on characteristics impacting ML model training efficiency and optimization approaches for AI providers and producers. Helps evaluate different training methodologies without specifying device-level acceleration mechanisms.", "n": 3, "nn": "Moderately novel approach to systematizing training efficiency optimization; practical but incremental advancement", "m": 4, "mn": "DTS (Draft Technical Specification) status indicates mature concept with good standardization readiness", "o": 2, "on": "Unique focus on training efficiency; minimal overlap with other drafts", "mo": 3, "mon": "Steady progress through DTS stage; practical applicability drives moderate adoption potential", "r": 4, "rn": "Highly relevant for ML practitioners and AI system developers seeking efficiency improvements", "c": ["Model serving/inference", "Other AI/agent"]}


draft_name: iso-iec-cd-31303.2
prompt_hash: df23ed7e3b15376e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:01.757514+00:00
response_json:
  {"name": "iso-iec-cd-31303.2", "s": "Overview document establishing trustworthiness concepts and definitions applicable to information technology systems. Provides foundational framework for IT trustworthiness standards.", "n": 2, "nn": "Low novelty; primarily definitional and organizational rather than introducing new concepts", "m": 2, "mn": "CD (Committee Draft) stage suggests early development; foundational but not yet mature", "o": 4, "on": "High conceptual overlap with multiple AI safety/governance standards; trustworthiness is cross-cutting theme", "mo": 2, "mon": "Early stage development with broad applicability may slow convergence; foundational importance maintains slow momentum", "r": 4, "rn": "Foundational relevance for establishing trustworthiness baseline across AI/IT domains", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-dis-24970
prompt_hash: af4cccab2f14bd1e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:01.769792+00:00
response_json:
  {"name": "iso-iec-dis-24970", "s": "Specifies common capabilities, requirements, and information model for AI system event logging integrated with risk management frameworks. Standardizes logging practices across AI systems.", "n": 3, "nn": "Moderately novel standardization of logging in AI context; builds on general IT logging with AI-specific requirements", "m": 4, "mn": "DIS (Draft International Standard) stage indicates substantial development maturity and near-publication readiness", "o": 2, "on": "Specialized focus on AI logging; minimal direct overlap though complements other AI standards", "mo": 4, "mon": "Advanced DIS stage with clear risk management integration demonstrates strong standardization momentum", "r": 4, "rn": "Highly relevant for AI system governance, auditability, and risk management compliance", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-pwi-24986
prompt_hash: 0d7af12df21ec185
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:01.780522+00:00
response_json:
  {"name": "iso-pwi-24986", "s": "Comprehensive standard for determining energy performance of ML-based optimal control strategies in building systems through field measurement methods. Covers prediction models, optimization algorithms, and real-world deployment.", "n": 3, "nn": "Moderately novel application of ML to building energy systems; combines domain-specific implementation with standard AI practices", "m": 2, "mn": "PWI (Preliminary Work Item) stage indicates early conceptual phase with significant development ahead", "o": 1, "on": "Highly specialized domain focus on building energy; unique intersection of energy systems and ML optimization", "mo": 2, "mon": "Early PWI stage suggests emerging interest but limited momentum; niche application may slow adoption", "r": 2, "rn": "Relevant primarily for building energy management sector; limited cross-domain applicability", "c": ["Model serving/inference", "Other AI/agent"]}


draft_name: iso-iec-cd-25029
prompt_hash: beda6aacda7b40e0
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:01.791345+00:00
response_json:
  {"name": "iso-iec-cd-25029", "s": "Establishes definitions, concepts, and guidelines for AI-enhanced nudging mechanisms applied by organizations. Provides use-cases and requirements for responsible design aligned with existing AI standards.", "n": 4, "nn": "High novelty addressing emerging concern of AI-enhanced behavioral influence; timely response to ethical AI challenges", "m": 2, "mn": "CD stage indicates early development; concept maturity exists but standardization approach still evolving", "o": 2, "on": "Specialized focus on nudging mechanisms; limited overlap except with broader AI ethics/governance standards", "mo": 3, "mon": "Moderate momentum as AI ethics attention grows; CD stage publication will drive awareness", "r": 4, "rn": "Highly relevant for responsible AI governance and ethical deployment of behavioral influence systems", "c": ["Human-agent interaction", "AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-ieee-np-29119-16
prompt_hash: c1800ba00b69ff56
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:12.178374+00:00
response_json:
  {"name": "iso-iec-ieee-np-29119-16", "s": "Extends ISO/IEC/IEEE 29119 testing standards to machine learning systems, providing risk-based testing requirements and guidance. Covers test levels, practices, types, and design techniques specific to ML, excluding adaptive systems like reinforcement learning.", "n": 3, "nn": "Applies existing testing frameworks to ML domain; moderately novel adaptation rather than fundamentally new approach", "m": 4, "mn": "Mature standard development process (NP stage), builds on well-established testing methodologies", "o": 2, "on": "Minimal overlap with other drafts; focused niche on testing practices", "mo": 3, "mon": "Testing standards have steady adoption but ML-specific testing remains evolving area", "r": 4, "rn": "High relevance for ML system quality assurance and risk management", "c": ["Policy/governance", "ML traffic mgmt", "AI safety/alignment"]}


draft_name: iso-iec-cd-tr-23281
prompt_hash: bb0a4a5f85748e10
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:12.199725+00:00
response_json:
  {"name": "iso-iec-cd-tr-23281", "s": "Provides comprehensive overview and taxonomy of AI tasks and functionalities related to natural language processing. Maps existing and competing terminologies, task variants, language diversity impacts, and relationships with other standards.", "n": 3, "nn": "Consolidates and organizes existing NLP tasks; primary value is in standardized landscaping and terminology rather than novel capabilities", "m": 3, "mn": "Early stage (CD) technical report; taxonomies remain subject to refinement", "o": 2, "on": "Unique focus on NLP task taxonomy; limited direct overlap with other drafts", "mo": 2, "mon": "Foundational work but NLP standards landscape is fragmented and rapidly changing", "r": 3, "rn": "Relevant for interoperability and terminology standardization in NLP systems", "c": ["Data formats/interop", "Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-dis-23888-2
prompt_hash: 1f905067498b6a99
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:12.209628+00:00
response_json:
  {"name": "iso-iec-dis-23888-2", "s": "Defines bitstream syntax, semantics, and decoding procedures for video encoded efficiently for machine analysis tasks. Specifies video coding optimized for machine performance rather than human perception.", "n": 4, "nn": "Novel approach optimizing video coding for machine tasks rather than human viewing; represents emerging domain", "m": 3, "mn": "DIS stage indicates advancement but machine-oriented video coding is relatively nascent area", "o": 3, "on": "Moderate overlap with Part 3 (optimization of encoders); both address machine analysis of coded video", "mo": 3, "mon": "Growing importance as AI systems increasingly process video; momentum building in multimedia AI", "r": 4, "rn": "Relevant for efficient ML inference on video data and computational optimization", "c": ["Data formats/interop", "Model serving/inference", "ML traffic mgmt"]}


draft_name: iso-dis-16400-6
prompt_hash: 391a4dff7de1b2a4
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:12.219160+00:00
response_json:
  {"name": "iso-dis-16400-6", "s": "Specifies equipment behaviour catalogues that incorporate machine learning models as components of equipment descriptions in virtual production systems. Enables ML-based representation of equipment behavior.", "n": 3, "nn": "Applies ML models to equipment cataloguing; moderate novelty in integrating ML into existing automation standards", "m": 3, "mn": "DIS stage; integration of ML into automation systems is moderately established", "o": 1, "on": "Unique focus on equipment catalogues for virtual production; minimal overlap with other drafts", "mo": 2, "mon": "Niche application area with limited broader momentum in standards community", "r": 2, "rn": "Relevant primarily for automation and virtual production domain specialists", "c": ["Data formats/interop", "Autonomous netops", "Other AI/agent"]}


draft_name: iso-iec-dtr-23888-3.2
prompt_hash: daac6ccb637a9ea8
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:12.229324+00:00
response_json:
  {"name": "iso-iec-dtr-23888-3.2", "s": "Addresses optimization of video encoders and receiving systems for efficient machine analysis of coded video content. Complements Part 2 by focusing on encoder/decoder optimization for machine tasks.", "n": 4, "nn": "Novel focus on end-to-end optimization of encoding systems for machine analysis; represents emerging specialization", "m": 2, "mn": "Early stage (DTR) technical report; machine-optimized video encoding optimization is immature area", "o": 3, "on": "Substantial overlap with Part 2 on machine analysis of video; both address video-machine optimization", "mo": 3, "mon": "Growing momentum as video AI inference becomes more prevalent; optimization focus increasingly relevant", "r": 4, "rn": "Highly relevant for efficient ML-based video processing and computational resource optimization", "c": ["Data formats/interop", "Model serving/inference", "ML traffic mgmt"]}


draft_name: iso-19178-1-2025
prompt_hash: 08d8fc140d0699b7
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:25.865291+00:00
response_json:
  {"name": "iso-19178-1-2025", "s": "Establishes a UML conceptual model for standardizing Earth Observation training data markup to improve interoperability across AI/ML tasks. Covers scene-level, object-level, and pixel-level supervised learning annotations with metadata specifications including identifiers, versions, and licensing.", "n": 4, "nn": "Specialized domain (EO/EarthObservation) with novel structured approach to training data interoperability; fills gap in geospatial AI standardization", "m": 4, "mn": "Published standard (2025) with mature conceptual model; implementable UML specification ready for adoption", "o": 3, "on": "Moderate overlap with ISO/IEC 22989-2 (AI terminology) and ISO/IEC CD 4213 (performance measurement); complements but distinct focus on data formats", "mo": 4, "mon": "Active publication timeline and domain-specific urgency in EO/geospatial AI; likely to see adoption in satellite imagery applications", "r": 4, "rn": "Highly relevant to data interoperability challenges in distributed Earth Observation systems; supports broader AI standardization ecosystem", "c": ["Data formats/interop", "Policy/governance"]}


draft_name: iso-cd-25132
prompt_hash: 9a098747d9edfeeb
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:25.886518+00:00
response_json:
  {"name": "iso-cd-25132", "s": "Classifies civil unmanned aircraft system (UAS) autonomous flight control into 6 levels (0-5) based on human-machine role allocation. Provides standardized framework for evaluating autonomy in civil drone operations.", "n": 3, "nn": "Adapts established autonomy level concepts (similar to SAE vehicle levels) to aviation domain; practical but not fundamentally novel methodology", "m": 3, "mn": "Committee Draft stage indicates ongoing development; conceptual framework solid but implementation details likely still under refinement", "o": 2, "on": "Minimal overlap with other submissions; domain-specific aviation focus distinguishes it from broader AI standards", "mo": 3, "mon": "Growing regulatory interest in UAS autonomy but pre-standard maturity limits near-term momentum; depends on regulatory adoption timelines", "r": 3, "rn": "Relevant for autonomous netops and safety-critical systems but narrow applicability; important for aviation but limited cross-domain utility", "c": ["Autonomous netops", "Policy/governance", "AI safety/alignment"]}


draft_name: iso-pwi-ts-21947
prompt_hash: 2b333c88d73f7e6d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:25.895644+00:00
response_json:
  {"name": "iso-pwi-ts-21947", "s": "Technical specification providing guidelines for applying machine learning (supervised, unsupervised, reinforcement learning) to mass spectrometry data including spectra and imaging. Covers terminology, method selection, and data preparation procedures.", "n": 2, "nn": "Domain-specific application guidance (mass spec) with limited novelty; synthesizes existing ML methods rather than introducing new frameworks", "m": 2, "mn": "Preliminary Work Item stage indicates early-stage development; guidance-based approach less formalized than standards; acknowledges rapid method evolution", "o": 4, "on": "Significant overlap with ISO/IEC CD 4213 (performance measurement) and ISO/IEC AWI 22989-2 (terminology); largely complementary application domain", "mo": 2, "mon": "Pre-standard maturity and narrow analytical chemistry focus limit momentum; incremental contribution to domain-specific ML guidance", "r": 2, "rn": "Limited relevance outside specialized analytical chemistry/materials science community; narrow technical scope reduces cross-domain applicability", "c": ["Data formats/interop", "Other AI/agent"]}


draft_name: iso-iec-cd-4213
prompt_hash: da08dacddd1c4523
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:25.905727+00:00
response_json:
  {"name": "iso-iec-cd-4213", "s": "Specifies methodologies for measuring AI model performance across classification, regression, clustering, and recommendation tasks. Establishes standardized metrics and evaluation frameworks for diverse AI applications.", "n": 3, "nn": "Systematic compilation of performance measurement approaches; useful but incremental\u2014most methods already established in ML literature", "m": 3, "mn": "Committee Draft stage with foundational but not yet finalized specifications; good progress toward standardization of evaluation practices", "o": 3, "on": "Moderate overlap with ISO/IEC AWI 22989-2 (AI concepts) and ISO-19178-1 (training data interop); provides complementary evaluation layer", "mo": 3, "mon": "Clear practical need for performance measurement standardization; steady adoption likely but not urgent industry pressure", "r": 4, "rn": "Broad relevance across all AI applications; fundamental utility for model validation and comparison in any AI ecosystem", "c": ["Model serving/inference", "Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-awi-22989-2
prompt_hash: 1dc174cbb8110371
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:25.916123+00:00
response_json:
  {"name": "iso-iec-awi-22989-2", "s": "Establishes AI terminology and concepts specifically for healthcare applications. Supports standardized communication across diverse healthcare stakeholders and enables development of healthcare-specific AI standards.", "n": 2, "nn": "Domain specialization of existing AI taxonomy (Part 1 general); necessary but incremental extension for healthcare sector alignment", "m": 2, "mn": "Approved Work Item early stage; foundational terminology work is prerequisite for sector but incomplete relative to full standardization", "o": 4, "on": "Significant overlap with general ISO/IEC 22989 and moderate overlap with ISO-19178-1 and CD-4213; specialized vocabulary layer rather than new framework", "mo": 2, "mon": "Healthcare sector momentum for AI standards is growing but regulatory uncertainty limits near-term adoption pressure; long development timeline expected", "r": 3, "rn": "Important for regulated healthcare AI but limited relevance outside medical domain; addresses critical terminology gap for clinical AI standards development", "c": ["Policy/governance", "Other AI/agent"]}


draft_name: iso-iec-awi-ts-25223
prompt_hash: d64034658e43bff7
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:37.244591+00:00
response_json:
  {"name": "iso-iec-awi-ts-25223", "s": "Provides guidance and requirements for quantifying uncertainties in AI systems across their entire lifecycle. Defines terminology and characteristics of uncertainty quantification approaches with practical applications.", "n": 4, "nn": "Addresses important gap in AI system reliability by formalizing uncertainty quantification methods, which is relatively nascent in standards.", "m": 3, "mn": "At AWI (Advanced Work Item) stage, indicating early development; uncertainty quantification is an evolving field with emerging best practices.", "o": 2, "on": "Minimal overlap with other drafts; focuses specifically on uncertainty quantification rather than safety or inference frameworks.", "mo": 3, "mon": "Moderate momentum as uncertainty quantification gains importance in AI governance, though still developing consensus on methodologies.", "r": 4, "rn": "Highly relevant for trustworthy AI deployment; uncertainty quantification is critical for safety-critical applications and regulatory compliance.", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-cd-ts-22440-1
prompt_hash: 6dce6ed313afd51c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:37.265598+00:00
response_json:
  {"name": "iso-iec-cd-ts-22440-1", "s": "Specifies requirements for integrating functional safety with AI systems as part 1 of a three-part standard. Focuses on what safety requirements AI systems must meet.", "n": 4, "nn": "Bridges traditionally separate domains of functional safety (from IEC 61508 lineage) and AI, addressing critical need for safety-critical AI deployment.", "m": 3, "mn": "At CD (Committee Draft) stage; functional safety principles are well-established but their application to AI systems is still being standardized.", "o": 3, "on": "Moderate overlap with Part 2 and 3; together they form a comprehensive safety framework but individually focused on different aspects.", "mo": 4, "mon": "Strong momentum given increasing deployment of AI in safety-critical domains (automotive, medical, industrial control).", "r": 5, "rn": "Critically relevant for any AI deployment in regulated, safety-critical industries; foundational for responsible AI systems.", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-cd-ts-22440-2
prompt_hash: cc2c022c3af0498d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:37.275306+00:00
response_json:
  {"name": "iso-iec-cd-ts-22440-2", "s": "Provides guidance on implementing functional safety with AI systems as part 2 of three-part standard. Offers practical advice on how to meet safety requirements.", "n": 4, "nn": "Complements Part 1 by translating safety requirements into actionable guidance; fills gap between abstract requirements and implementation.", "m": 3, "mn": "At CD stage; guidance is developing alongside requirements; maturity dependent on industrial feedback and practical validation.", "o": 3, "on": "Moderate overlap with Part 1 and 3; Part 2 sits between abstract requirements and concrete examples in the standard trilogy.", "mo": 4, "mon": "Strong momentum as practitioners seek clear guidance for safety-critical AI implementation in regulated industries.", "r": 5, "rn": "Highly relevant for practitioners implementing safety-critical AI systems; provides bridge between requirements and application.", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-cd-ts-22440-3
prompt_hash: 40eddf102daa9be3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:37.284573+00:00
response_json:
  {"name": "iso-iec-cd-ts-22440-3", "s": "Provides concrete examples and case studies for applying functional safety to AI systems as part 3 of three-part standard. Demonstrates implementation in real-world scenarios.", "n": 3, "nn": "Examples add practical value by showing how abstract safety principles apply across different AI application domains and industries.", "m": 2, "mn": "At CD stage; examples-focused standards have lower maturity until comprehensive real-world case studies are validated and included.", "o": 3, "on": "Moderate overlap with Parts 1 and 2; Part 3 illustrates concepts from earlier parts but with domain-specific variations.", "mo": 3, "mon": "Moderate momentum; value of examples grows as standard matures and organizations need guidance on implementation.", "r": 4, "rn": "Relevant for organizations seeking concrete guidance on applying safety standards; most useful when combined with Parts 1 and 2.", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-awi-ts-25258
prompt_hash: c44f26cc712f7e3e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:37.293400+00:00
response_json:
  {"name": "iso-iec-awi-ts-25258", "s": "Provides guidance on hybrid AI inference frameworks for multi-task AI systems in deployment. Addresses how AI systems generate outputs using multiple inference approaches.", "n": 3, "nn": "Focuses on practical inference deployment for hybrid AI approaches; moderately novel as deployment frameworks are emerging area but build on established ML serving patterns.", "m": 2, "mn": "At early AWI stage with minimal abstract detail; maturity will depend on how well it addresses emerging hybrid AI system complexities.", "o": 1, "on": "Minimal overlap with other drafts; unique focus on hybrid inference frameworks rather than safety, uncertainty, or requirements.", "mo": 2, "mon": "Limited momentum shown; hybrid AI frameworks are niche area; broader adoption depends on validation of approach effectiveness.", "r": 3, "rn": "Moderately relevant for organizations deploying multi-task or ensemble AI systems; less critical than safety or governance standards.", "c": ["Model serving/inference", "Data formats/interop"]}


draft_name: iso-cd-25268
prompt_hash: e7b1d56ad01d8348
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:49.145158+00:00
response_json:
  {"name": "iso-cd-25268", "s": "Guidelines for implementing autonomous mobile robots in hospital internal logistics for pharmaceutical delivery. Covers physical AMR design, medication packaging, delivery chambers, emergency procedures, and hospital logistics environments including elevator sequences and delivery locations.", "n": 3, "nn": "Niche application domain (hospital pharma logistics) with moderate novelty; combines existing AMR concepts with healthcare-specific requirements", "m": 2, "mn": "Committee draft stage suggests early development; healthcare logistics is specialized but AMR technology is mature", "o": 2, "on": "Minimal overlap with other drafts; highly domain-specific to hospital logistics rather than general AI/agent standards", "mo": 2, "mon": "Limited momentum indicators; niche market for hospital AMR logistics may restrict broader adoption and standardization pressure", "r": 3, "rn": "Relevant to healthcare organizations and AMR manufacturers but limited to specific vertical; medium relevance for broader AI standardization ecosystem", "c": ["Autonomous netops", "Other AI/agent"]}


draft_name: iso-iec-cd-42007
prompt_hash: cb462b95764e286c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:49.166736+00:00
response_json:
  {"name": "iso-iec-cd-42007", "s": "High-level framework and guidance for developing conformity assessment and certification schemes for AI systems. Addresses how to establish certification processes and schemes for AI system evaluation.", "n": 4, "nn": "Novel governance framework for AI system certification; addresses critical standardization gap in how AI systems are assessed and certified", "m": 3, "mn": "Committee draft indicates active development with stakeholder engagement; foundational nature suggests need for broader consensus", "o": 2, "on": "Some overlap with AI safety/alignment concerns but primarily focused on assessment methodology rather than specific safety properties", "mo": 4, "mon": "High momentum as AI regulation and certification requirements drive standardization needs across industries and jurisdictions", "r": 5, "rn": "Highly relevant; foundational standard for AI system assessment applicable across multiple sectors and regulatory contexts", "c": ["AI safety/alignment", "Policy/governance", "Other AI/agent"]}


draft_name: iso-awi-tr-24492
prompt_hash: 52ba209448f088da
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:49.175085+00:00
response_json:
  {"name": "iso-awi-tr-24492", "s": "Technical report identifying standardization needs for applying artificial intelligence in the financial services industry. Focuses on gaps and requirements specific to AI adoption in financial services.", "n": 3, "nn": "Domain-specific needs assessment for financial AI; identifies sector-specific standardization gaps but limited core technical novelty", "m": 2, "mn": "Early stage (AWI/TR) indicates preliminary investigation; financial AI regulation is rapidly evolving affecting standard maturity", "o": 3, "on": "Moderate overlap with broader AI governance standards but focused on financial sector specifics; complements rather than duplicates", "mo": 4, "mon": "Strong momentum driven by regulatory pressure on financial institutions to adopt and govern AI responsibly", "r": 4, "rn": "Highly relevant to financial sector but narrower applicability than horizontal AI standards; important for compliance-driven industries", "c": ["Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: iso-iec-awi-25505
prompt_hash: f3775b2e349311d3
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:49.183285+00:00
response_json:
  {"name": "iso-iec-awi-25505", "s": "International standard for wireless charging communication protocols for autonomous moving machines. Defines architecture, message frameworks, and logical communication structures above MAC layer for energy transfer coordination across heterogeneous networks.", "n": 4, "nn": "Novel focus on wireless energy transfer as critical infrastructure for autonomous systems; addresses emerging operational dependency not previously standardized", "m": 2, "mn": "AWI stage with multi-part planned development suggests complex standardization; wireless charging technology still maturing for autonomous systems", "o": 1, "on": "Highly unique; addresses specific technical infrastructure need with minimal overlap to other standards listed", "mo": 3, "mon": "Moderate momentum from growing AMM/autonomous vehicle market requiring charging infrastructure; not yet mainstream priority", "r": 4, "rn": "Relevant to autonomous system viability but operationally focused; essential for autonomous logistics but indirect relationship to broader AI standards", "c": ["A2A protocols", "Autonomous netops", "Data formats/interop"]}


draft_name: iso-iec-awi-tr-25523
prompt_hash: 362ff8c857eef74b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:49.192182+00:00
response_json:
  {"name": "iso-iec-awi-tr-25523", "s": "Technical report providing overview of data profiles for analytics and machine learning applications. Examines data format and profile standards relevant to ML and analytics in information technology systems.", "n": 2, "nn": "Low novelty; data formats and profiles for ML are well-explored; primarily synthesis and overview of existing practices", "m": 2, "mn": "Early stage TR; data format standardization is mature concept but ML-specific profiles may lack consensus", "o": 4, "on": "Substantial overlap with general data interoperability and ML infrastructure standards; covers ground well-trodden in data standardization", "mo": 2, "mon": "Low momentum; horizontal data standards face competing de-facto standards (JSON, Parquet, etc.) reducing standardization urgency", "r": 3, "rn": "Moderately relevant as foundational infrastructure for ML systems but limited differentiation; general-purpose rather than addressing specific gaps", "c": ["Data formats/interop", "Model serving/inference", "Other AI/agent"]}


draft_name: iso-iec-awi-ts-25566
prompt_hash: 4c6408bd207b6e33
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:59.590135+00:00
response_json:
  {"name": "iso-iec-awi-ts-25566", "s": "Establishes standard terminology and conceptual frameworks for domain engineering in AI systems. Targets organizations across sectors developing, providing, or using AI systems. Foundational reference work for consistent AI engineering vocabulary.", "n": 3, "nn": "Domain engineering terminology in AI is emerging; moderate novelty in systematizing existing practices into ISO standard form", "m": 3, "mn": "Early-stage technical specification (AWI status); needs broader stakeholder input and testing before maturity", "o": 2, "on": "Terminology work is somewhat unique; minor overlap with general AI governance frameworks", "mo": 3, "mon": "Part of larger ISO/IEC AI standards initiative; moderate momentum as foundational standard", "r": 4, "rn": "High relevance for standardizing AI engineering practices globally; critical for interoperability", "c": ["Policy/governance", "Data formats/interop"]}


draft_name: iso-iec-awi-ts-25568
prompt_hash: 23b9e9d9a53c31c7
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:59.612424+00:00
response_json:
  {"name": "iso-iec-awi-ts-25568", "s": "Provides systematic guidance on identifying, analyzing, and treating risks specific to generative AI systems. Covers risk sources, stakeholders, and lifecycle-based control mechanisms. Addresses emerging risks from generative capabilities.", "n": 4, "nn": "Generative AI risk frameworks are novel; this document fills timely gap in systematic risk guidance for rapidly evolving technology", "m": 2, "mn": "Early AWI stage; generative AI landscape evolving faster than standards maturation", "o": 2, "on": "Generative AI risk guidance is relatively unique; some overlap with general AI safety principles", "mo": 4, "mon": "High momentum given urgent industry need for generative AI risk frameworks", "r": 5, "rn": "Critical relevance as generative AI adoption accelerates; addresses immediate safety concerns", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-awi-ts-25569
prompt_hash: 50455a2def6545a2
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:59.624497+00:00
response_json:
  {"name": "iso-iec-awi-ts-25569", "s": "Offers practical implementation guidance on de-identifying data for machine learning model development. Covers methods applicable throughout ML pipeline. Bridges privacy requirements with ML engineering practices.", "n": 3, "nn": "De-identification in ML context is moderately novel; combines established privacy techniques with ML-specific considerations", "m": 3, "mn": "Mid-stage development; practical methods exist but standardized implementation guidance is still emerging", "o": 3, "on": "Moderate overlap with data privacy standards (GDPR, etc.); adds ML-specific perspective", "mo": 3, "mon": "Steady momentum driven by privacy regulation compliance needs", "r": 4, "rn": "High relevance for organizations managing sensitive data in ML; addresses regulatory requirements", "c": ["Policy/governance", "Data formats/interop"]}


draft_name: iso-iec-awi-ts-25570
prompt_hash: b97d302189bd553f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:59.634401+00:00
response_json:
  {"name": "iso-iec-awi-ts-25570", "s": "Provides statistical methods and metrics for assessing AI system reliability. Includes procedures for reliability evaluation from quantitative perspective. Enables systematic reliability measurement.", "n": 3, "nn": "AI reliability metrics are moderately novel; applies classical reliability engineering to AI domain with new considerations", "m": 2, "mn": "Early AWI stage; statistical approaches exist but AI-specific reliability frameworks still developing", "o": 2, "on": "Relatively unique in AI context; builds on classical reliability engineering with limited direct overlap", "mo": 3, "mon": "Moderate momentum as reliability becomes critical concern for AI deployment", "r": 4, "rn": "High relevance for mission-critical AI deployments; essential for assurance and compliance", "c": ["AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-awi-ts-25571
prompt_hash: 28b90bd9198709ae
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:17:59.644460+00:00
response_json:
  {"name": "iso-iec-awi-ts-25571", "s": "Provides template and instructions for documenting ethical issues across AI system lifecycle stages. Practical tool for stakeholders to identify and record ethical considerations. Facilitates systematic ethical governance.", "n": 2, "nn": "Ethical documentation templates are incremental; applies existing ethics frameworks to structured documentation format", "m": 2, "mn": "Early AWI stage; template-based approach is practical but lacks empirical validation across diverse contexts", "o": 3, "on": "Moderate overlap with broader AI ethics frameworks and governance documentation practices", "mo": 2, "mon": "Lower momentum; ethical documentation valuable but less urgent than safety/risk guidance", "r": 3, "rn": "Relevant for organizations formalizing ethics processes; moderately important for governance", "c": ["Policy/governance", "Human-agent interaction"]}


draft_name: iso-iec-cd-tr-18988
prompt_hash: d8e7be0c7d991c9d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:47.339344+00:00
response_json:
  {"name": "iso-iec-cd-tr-18988", "s": "Technical report on applying AI technologies within health informatics systems. Covers standards for AI deployment in healthcare contexts.", "n": 3, "nn": "Health-specific AI application guidance; moderate novelty as domain-focused variant of broader AI standards", "m": 3, "mn": "Committee draft stage indicates moderate maturity; health informatics adds specificity but builds on established AI frameworks", "o": 2, "on": "Limited overlap with other drafts; domain-specific rather than foundational infrastructure focus", "mo": 2, "mon": "Early stage (CD) with healthcare focus may limit broader adoption momentum outside medical sector", "r": 3, "rn": "Relevant for healthcare AI deployment but niche applicability compared to general AI infrastructure standards", "c": ["Policy/governance", "Human-agent interaction", "AI safety/alignment"]}


draft_name: iso-awi-tr-3510
prompt_hash: 42a9014a1b5a21af
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:47.359643+00:00
response_json:
  {"name": "iso-awi-tr-3510", "s": "Standard for communication interfaces enabling interoperability between supervisor systems and heterogeneous autonomous controllers in mining. Addresses A2A protocol requirements.", "n": 3, "nn": "Mining-specific autonomous coordination; novel application domain but follows established interoperability patterns", "m": 2, "mn": "Early stage (AWI) with domain-specific focus; technical maturity depends on mining automation precedents", "o": 1, "on": "Highly unique to mining sector; minimal overlap with other AI/agent infrastructure standards", "mo": 2, "mon": "Niche industrial application may limit cross-sector momentum and adoption velocity", "r": 2, "rn": "Relevant for autonomous mining but limited applicability to broader AI agent ecosystems", "c": ["A2A protocols", "Autonomous netops", "Data formats/interop"]}


draft_name: iso-iec-awi-25589
prompt_hash: 7fc54162f698fe7c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:47.369356+00:00
response_json:
  {"name": "iso-iec-awi-25589", "s": "Framework defining concepts, design principles, and technical characteristics for human-machine teaming. Provides guidance for integrating human interaction with machine intelligence.", "n": 4, "nn": "Strong novelty in systematizing human-machine collaboration; advances beyond traditional human-in-loop patterns with formal framework", "m": 3, "mn": "AWI stage with comprehensive scope; framework provides conceptual maturity though implementation guidance may vary", "o": 2, "on": "Moderate overlap with 25590 on AI output quality; complements but distinct from model-focused standards", "mo": 4, "mon": "High momentum as human-AI teaming is active research area; broad applicability across sectors increases adoption potential", "r": 4, "rn": "Highly relevant; human-machine teaming is critical for responsible AI deployment across industries", "c": ["Human-agent interaction", "AI safety/alignment", "Policy/governance"]}


draft_name: iso-iec-awi-25590
prompt_hash: 570974ca560936fb
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:47.379970+00:00
response_json:
  {"name": "iso-iec-awi-25590", "s": "Provides guidance for measuring and assessing output data quality from generative AI applications. Addresses quality considerations from creation, use, and impact perspectives.", "n": 4, "nn": "Novel focus on generative AI output quality assessment; timely response to emerging generative AI deployment challenges", "m": 3, "mn": "AWI stage indicates framework development underway; quality metrics for generative systems still maturing industry-wide", "o": 2, "on": "Complements 25589 on human-machine interaction; overlaps with model description (25623) but distinct quality focus", "mo": 5, "mon": "Highest momentum; generative AI output quality is urgent concern; strong stakeholder interest across sectors", "r": 5, "rn": "Extremely relevant; output quality directly impacts safety, trustworthiness, and responsible AI deployment", "c": ["AI safety/alignment", "Model serving/inference", "Policy/governance"]}


draft_name: iso-iec-awi-25623
prompt_hash: 88d6ea196a6465db
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:47.389282+00:00
response_json:
  {"name": "iso-iec-awi-25623", "s": "Establishes a description framework and documentation elements for ML models across their lifecycle. Supports model management and usage across organizations.", "n": 3, "nn": "Moderate novelty; ML model documentation frameworks exist but standardization adds value for lifecycle management", "m": 3, "mn": "AWI stage; framework concept mature but comprehensive adoption and standardized implementation still developing", "o": 2, "on": "Minimal overlap; model description complements but distinct from quality guidance (25590) and human-machine teaming (25589)", "mo": 3, "mon": "Steady momentum; model documentation is recognized need but lacks urgency of generative AI quality concerns", "r": 4, "rn": "Relevant for organizations managing ML lifecycle; foundational for interoperability and governance", "c": ["Data formats/interop", "Model serving/inference", "Policy/governance"]}


draft_name: iso-iec-awi-42003
prompt_hash: 0a79b9767f6da6b2
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:57.084527+00:00
response_json:
  {"name": "iso-iec-awi-42003", "s": "Provides implementation guidance for ISO/IEC 42001 AI management systems standard. Addresses competencies needed for AIMS professionals across organizations of all types and sizes.", "n": 3, "nn": "Implementation guidance is derivative of existing 42001 standard; limited novel technical content", "m": 4, "mn": "Well-established foundational work building on mature 42001 framework", "o": 3, "on": "Moderate overlap with other governance and management system standards in ISO/IEC AI portfolio", "mo": 4, "mon": "Active development with clear practical applications for organizations adopting AI systems", "r": 4, "rn": "High relevance for organizations implementing formal AI governance and management practices", "c": ["Policy/governance", "Human-agent interaction"]}


draft_name: iso-dis-42501
prompt_hash: 8967815075dbb639
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:57.105903+00:00
response_json:
  {"name": "iso-dis-42501", "s": "Establishes trustworthiness and safety requirements for digital platform operators in the sharing economy. Applies to platform governance rather than underlying system architecture.", "n": 3, "nn": "Applies established safety/trustworthiness concepts to sharing economy context; moderate novelty", "m": 3, "mn": "Fairly mature domain-specific application though sharing economy platforms continue evolving", "o": 2, "on": "Limited overlap; specialized focus on sharing economy platforms distinguishes from broader AI safety standards", "mo": 3, "mon": "Steady progress but narrower scope than broader AI safety initiatives", "r": 3, "rn": "Relevant for sharing economy operators and platform governance but narrower audience than general AI standards", "c": ["Policy/governance", "AI safety/alignment"]}


draft_name: iso-iec-awi-ts-42119-7
prompt_hash: 13547fcb42f5b234
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:57.115721+00:00
response_json:
  {"name": "iso-iec-awi-ts-42119-7", "s": "Provides technology-agnostic guidance for conducting red teaming assessments on AI systems. Covers risk identification, methodologies, documentation, and lifecycle integration aligned with ISO/IEC 29119.", "n": 4, "nn": "Red teaming for AI is emerging area with novel assessment methodologies not fully standardized elsewhere", "m": 2, "mn": "Early-stage technical guidance; red teaming practices for AI still evolving and maturing", "o": 2, "on": "Minimal overlap; red teaming guidance is distinct from other AI testing and safety standards", "mo": 5, "mon": "Strong momentum driven by heightened focus on AI robustness, adversarial testing, and safety validation", "r": 4, "rn": "Highly relevant as organizations increasingly prioritize adversarial testing and AI system robustness", "c": ["AI safety/alignment"]}


draft_name: iso-iec-awi-25704
prompt_hash: 4d285fa121ef8616
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:57.124007+00:00
response_json:
  {"name": "iso-iec-awi-25704", "s": "Defines process assessment model for evaluating AI system lifecycle process capability. Provides measurement framework and indicators for determining organizational AI process maturity levels.", "n": 3, "nn": "Applies established process assessment methodology (ISO/IEC 33020) to AI domain; incremental rather than novel", "m": 3, "mn": "Builds on mature process assessment frameworks but AI lifecycle application still developing", "o": 4, "on": "Significant overlap with ISO/IEC 42001 governance frameworks and other AI lifecycle standards", "mo": 3, "mon": "Moderate progress; process assessment maturity models gaining traction in AI governance", "r": 3, "rn": "Relevant for organizations seeking to measure and improve AI development and deployment processes", "c": ["Policy/governance"]}


draft_name: iso-cd-21520
prompt_hash: 66bf47a19e1e3bcf
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:20:57.132138+00:00
response_json:
  {"name": "iso-cd-21520", "s": "Outlines AI concepts, applications, and implications for project, programme, and portfolio management. Provides governance framework and guidance on security, privacy, bias, and ethics for P3M organizations.", "n": 2, "nn": "Applies AI to established P3M discipline; limited novel AI technical content, mostly domain adaptation", "m": 3, "mn": "Mature P3M practices with emerging AI integration; foundational content still being standardized", "o": 4, "on": "Moderate-high overlap with governance, policy, and organizational AI management standards", "mo": 3, "mon": "Steady adoption of AI in P3M contexts but narrower focus than broader AI standards", "r": 3, "rn": "Relevant for P3M practitioners and organizations managing projects with AI components", "c": ["Policy/governance", "Human-agent interaction"]}


draft_name: iec-np-ts-62366-3
prompt_hash: f88a07bd91887095
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:09.133006+00:00
response_json:
  {"name": "iec-np-ts-62366-3", "s": "Guidance document for applying usability engineering processes to medical devices using AI/ML technology. Builds on IEC 62366-1 standards with specific considerations for AI-based medical device development.", "n": 3, "nn": "Applies existing usability framework to emerging AI/ML medical device domain; moderate novelty in specialization rather than new concepts", "m": 4, "mn": "Technical specification stage with established parent standard (IEC 62366-1); guidance-focused approach indicates mature thinking", "o": 2, "on": "Unique focus on medical device usability with AI/ML; minimal overlap with other AI governance/testing standards listed", "mo": 2, "mon": "Technical specification status suggests slower progress; niche medical device focus limits broader AI community momentum", "r": 3, "rn": "Relevant for medical device sector specifically; human-device interaction aspects valuable but limited general AI applicability", "c": ["Policy/governance", "Human-agent interaction", "AI safety/alignment"]}


draft_name: iso-iec-awi-ts-42119-8
prompt_hash: 5ae6e1bb0b275218
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:09.153642+00:00
response_json:
  {"name": "iso-iec-awi-ts-42119-8", "s": "Quality assessment framework for generative AI text-to-text systems using prompt-based approaches. Covers testing methodologies including red teaming, safety considerations, and results interpretation.", "n": 4, "nn": "Addresses emerging generative AI testing gap; red teaming methodology and prompt-based assessment represent novel standardization areas", "m": 3, "mn": "AWI (Advanced Work Item) stage indicates early development; builds on existing standards (23282, 42119-7) suggesting incremental maturity", "o": 3, "on": "Moderate overlap with AI safety/alignment and testing approaches; complements resilience assessment drafts", "mo": 4, "mon": "Generative AI focus aligns with current technology momentum; prompt engineering and LLM testing are high-priority areas", "r": 5, "rn": "Highly relevant to current AI deployment challenges; directly addresses practical quality assessment for widely-deployed generative systems", "c": ["AI safety/alignment", "Model serving/inference", "Data formats/interop", "Policy/governance"]}


draft_name: iso-iec-awi-25870
prompt_hash: 8b5b828b1e52f08b
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:09.162736+00:00
response_json:
  {"name": "iso-iec-awi-25870", "s": "Framework specifying data elements for reporting AI incidents across all organization types. Establishes standardized incident documentation structure.", "n": 3, "nn": "Incident reporting structure is relatively straightforward; value lies in cross-organizational standardization rather than conceptual novelty", "m": 2, "mn": "AWI status; incident reporting frameworks are established in other domains but AI-specific application is nascent", "o": 2, "on": "Unique incident reporting focus; complements but distinct from safety/resilience assessment standards", "mo": 3, "mon": "Growing awareness of AI incident tracking needs; momentum moderate as field still establishing incident reporting culture", "r": 4, "rn": "Increasingly relevant as AI systems proliferate; incident data collection critical for safety and governance across sectors", "c": ["Policy/governance", "AI safety/alignment", "Data formats/interop"]}


draft_name: iso-iec-awi-25872-1
prompt_hash: fa62fccf36861915
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:09.173623+00:00
response_json:
  {"name": "iso-iec-awi-25872-1", "s": "Framework and guidance for knowledge enhancement methods applied to pretrained machine learning models. Part 1 establishes conceptual foundations and enhancement methodologies.", "n": 3, "nn": "Knowledge enhancement is emerging field; framework development moderate novelty as techniques exist but standardization is new", "m": 2, "mn": "Early AWI stage with multi-part structure; foundational framework indicates work still in formulation phase", "o": 1, "on": "Unique focus on knowledge enhancement for pretrained models; minimal overlap with other listed standards", "mo": 2, "mon": "Specialized technical area with limited mainstream momentum; applicable primarily to ML practitioners seeking model improvement", "r": 3, "rn": "Moderately relevant for ML development lifecycle; practical applicability concentrated in model optimization domain", "c": ["Model serving/inference", "Data formats/interop"]}


draft_name: iso-iec-awi-ts-25864
prompt_hash: 61c481389eedf632
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:09.185449+00:00
response_json:
  {"name": "iso-iec-awi-ts-25864", "s": "Comprehensive framework providing methods, mechanisms, guidelines, and quantifiable metrics for assessing AI system resilience. Addresses robustness and failure modes.", "n": 4, "nn": "Resilience assessment for AI systems represents emerging standardization need; quantifiable metrics approach is novel contribution", "m": 3, "mn": "AWI TS (Technical Specification) stage indicates developed thinking; resilience frameworks exist in traditional systems but AI-specific adaptation is intermediate", "o": 3, "on": "Moderate overlap with AI safety/alignment and testing standards; complementary to incident reporting and quality assessment drafts", "mo": 4, "mon": "AI resilience and robustness are high-priority current topics; momentum strong as deployments increase demand for reliability guarantees", "r": 5, "rn": "Highly relevant across sectors; resilience metrics essential for critical infrastructure and safety-sensitive AI applications", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference"]}


draft_name: iso-iec-awi-tr-24030
prompt_hash: 6665ea8a7e88783c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:20.591884+00:00
response_json:
  {"name": "iso-iec-awi-tr-24030", "s": "Compiles representative use cases of AI applications across various domains to inform standardization efforts. Provides practical examples of AI deployment scenarios without prescriptive requirements.", "n": 2, "nn": "Use case collection is foundational but not technically novel; primarily serves as reference material for standards development", "m": 2, "mn": "Early stage technical report (TR) with abstract content; lacks detailed implementation guidance or maturity examples", "o": 2, "on": "Minimal overlap with other drafts; serves as complementary reference material rather than addressing specific technical standards", "mo": 3, "mon": "Moderate momentum as foundational input to AI standardization; useful for scoping but not directly advancing technical specifications", "r": 4, "rn": "Highly relevant for understanding AI application landscape and identifying standardization needs across domains", "c": ["Other AI/agent", "Policy/governance"]}


draft_name: iso-iec-np-25880
prompt_hash: f9e91d83deb65f7a
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:20.613336+00:00
response_json:
  {"name": "iso-iec-np-25880", "s": "Specifies organizational requirements and guidance for implementing human-machine teaming in AI systems during practical operation. Addresses how human operators and AI systems collaborate within organizations.", "n": 3, "nn": "Focuses on organizational and procedural aspects of HMT; novel in formalizing team dynamics but builds on established human-factors principles", "m": 3, "mn": "New proposal stage (NP) with clear scope but limited detail; requires substantive development before full standardization", "o": 3, "on": "Moderate overlap with human-agent interaction concerns; some alignment with ISO/AWI 25922 on human-machine allocation", "mo": 4, "mon": "Growing momentum as AI systems increasingly require human oversight; directly addresses practical implementation gaps", "r": 5, "rn": "Critical relevance for safe and effective AI deployment where human judgment remains essential", "c": ["Human-agent interaction", "Policy/governance", "AI safety/alignment"]}


draft_name: iso-awi-tr-25896
prompt_hash: c9f6380d7efd5622
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:20.623893+00:00
response_json:
  {"name": "iso-awi-tr-25896", "s": "Addresses application of AI techniques to terminology resource management and standardization. Combines terminology management standards with AI-enabled tools for language and concept handling.", "n": 2, "nn": "Applies existing AI concepts to specialized domain (terminology); incremental rather than fundamentally novel", "m": 2, "mn": "Early working draft stage; narrow applicability to specialized ISO/TC 37 community limits mainstream relevance", "o": 1, "on": "Highly unique focus on terminology management; minimal overlap with other AI standardization efforts", "mo": 2, "mon": "Limited momentum; narrow domain relevance and specialized audience reduces driving force for progression", "r": 2, "rn": "Low-to-moderate relevance outside terminology standardization community; niche application area", "c": ["Data formats/interop", "Other AI/agent"]}


draft_name: iso-iec-awi-25058
prompt_hash: 9f25407b3fdccf62
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:20.633689+00:00
response_json:
  {"name": "iso-iec-awi-25058", "s": "Provides measurement methods and quality evaluation guidance for AI systems using quality models defined in ISO/IEC 25059. Establishes metrics and processes for assessing AI system quality across organizations.", "n": 4, "nn": "Novel in formalizing quality measurement for AI systems; extends traditional SQuaRE framework to AI-specific concerns", "m": 3, "mn": "Working draft stage with reference to companion standard (25059); substantive but requires refinement of measurement approaches", "o": 2, "on": "Low overlap; specialized quality measurement focus distinct from other standards, though somewhat related to safety/alignment frameworks", "mo": 4, "mon": "Strong momentum as organizations need standardized AI quality assessment; addresses critical gap in evaluation practices", "r": 5, "rn": "Highly relevant for organizations developing and deploying AI systems; essential for quality assurance and governance", "c": ["Policy/governance", "AI safety/alignment", "Other AI/agent"]}


draft_name: iso-awi-25922
prompt_hash: 5b55650b97878c8c
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:20.681329+00:00
response_json:
  {"name": "iso-awi-25922", "s": "Specifies methods for defining and allocating capabilities and responsibilities between maritime autonomous surface ships (MASS) and remote human operators. Establishes standardized approaches for human-machine task allocation in maritime automation.", "n": 4, "nn": "Novel in formalizing MASS operator interaction; applies human-machine teaming principles to critical maritime domain with safety implications", "m": 3, "mn": "Working draft with clear scope and practical maritime context; moderately mature but requires validation through maritime industry input", "o": 4, "on": "Significant overlap with ISO/IEC NP 25880 on human-machine teaming principles; both address capability/responsibility allocation", "mo": 3, "mon": "Moderate momentum driven by maritime industry autonomous systems development; domain-specific rather than broadly transformative", "r": 4, "rn": "Highly relevant for maritime industry and autonomous systems safety; moderate broader relevance for human-agent interaction principles", "c": ["Human-agent interaction", "Autonomous netops", "Policy/governance", "AI safety/alignment"]}


draft_name: iso-awi-25934
prompt_hash: 7cb8ff372faf4a58
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:31.428154+00:00
response_json:
  {"name": "iso-awi-25934", "s": "Establishes structured verification procedures for autonomous navigation systems in Maritime Autonomous Surface Ships (MASS). Addresses safety and reliability assessment across different operational modes, supporting manufacturers, operators, and regulators in developing MASS-specific verification frameworks.", "n": 3, "nn": "Verification procedures for maritime autonomous systems are specialized; moderate novelty in applying ISO safety standards to MASS domain", "m": 2, "mn": "Early stage (AWI=Active Work Item); framework still under development with limited implementation guidance", "o": 3, "on": "Overlaps with general autonomous system verification standards but maritime-specific niche reduces overlap", "mo": 2, "mon": "Niche maritime focus limits broad momentum; relevance primarily to shipping industry stakeholders", "r": 3, "rn": "Relevant to autonomous maritime operations but limited to specific vertical; emerging regulatory importance", "c": ["Autonomous netops", "Policy/governance", "Data formats/interop"]}


draft_name: iso-iec-cd-30147
prompt_hash: ace8b935b410ae6e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:31.448289+00:00
response_json:
  {"name": "iso-iec-cd-30147", "s": "Integrates IoT trustworthiness verification activities into ISO/IEC/IEEE 15288 system engineering processes. Bridges IoT-specific security and reliability concerns with established systems engineering methodologies.", "n": 3, "nn": "Integration of trustworthiness into established SE processes shows moderate novelty; trustworthiness frameworks exist but process integration is somewhat novel", "m": 3, "mn": "Committee Draft stage indicates substantive development; closer to standardization than early-stage work", "o": 4, "on": "Significant overlap with existing ISO/IEC/IEEE 15288 and other IoT security standards; incremental refinement", "mo": 3, "mon": "IoT trustworthiness is active area; moderate momentum but integration with 15288 is specialized", "r": 4, "rn": "High relevance to IoT system engineering; applicable across IoT verticals", "c": ["Data formats/interop", "AI safety/alignment", "Policy/governance"]}


draft_name: iso-awi-tr-19182
prompt_hash: ebdb6452038eaf74
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:31.456403+00:00
response_json:
  {"name": "iso-awi-tr-19182", "s": "Provides guidance on incorporating Geospatial Artificial Intelligence (GeoAI) into geographic information standards. Addresses integration of AI techniques within GIS and geospatial data frameworks.", "n": 3, "nn": "GeoAI is emerging field; guidance on standards integration is moderately novel but builds on existing AI and GIS standards", "m": 2, "mn": "Technical Report (TR) in AWI stage; exploratory guidance rather than normative standard", "o": 3, "on": "Bridges GIS and AI domains with some overlap to broader AI standards and geospatial data standards", "mo": 2, "mon": "GeoAI gaining attention but geographic information standards community is relatively specialized", "r": 3, "rn": "Relevant to GIS practitioners and location-based AI applications; moderate general relevance", "c": ["Data formats/interop", "Model serving/inference", "Other AI/agent"]}


draft_name: iso-iec-awi-23888-5
prompt_hash: ffc7777018d74884
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:31.465122+00:00
response_json:
  {"name": "iso-iec-awi-23888-5", "s": "Defines bitstream syntax, semantics, and decoding procedures for AI-based dynamic point cloud compression. Specifies encoding format and reconstruction methods for efficient point cloud representation.", "n": 4, "nn": "Dynamic point cloud compression with AI is novel; combines emerging compression techniques with point cloud standards", "m": 2, "mn": "Early AWI stage with minimal abstract detail; technical specifications still under development", "o": 2, "on": "Relatively unique focus on AI-based dynamic compression; limited overlap with existing standards", "mo": 3, "mon": "3D/point cloud processing gaining momentum; AI-based compression increasingly important for multimedia", "r": 3, "rn": "Relevant to 3D imaging, robotics, autonomous systems; emerging application domains", "c": ["Data formats/interop", "Model serving/inference", "Other AI/agent"]}


draft_name: iso-iec-awi-23888-4
prompt_hash: 302a9a91814af38d
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:31.473814+00:00
response_json:
  {"name": "iso-iec-awi-23888-4", "s": "Defines bitstream format and decoding process for compression of machine-extracted video features. Optimizes feature coding for efficiency in bitrate, machine task performance, and computational complexity.", "n": 4, "nn": "Feature coding for machines (vs. humans) is relatively novel; focuses on ML-optimized compression rather than human perception", "m": 2, "mn": "Early AWI stage with limited specification detail; framework and requirements still being formulated", "o": 2, "on": "Unique focus on machine-centric feature compression; minimal overlap with human-centric video standards", "mo": 3, "mon": "ML inference efficiency and edge computing drive momentum; feature compression increasingly relevant", "r": 4, "rn": "Highly relevant to video analytics, edge ML, autonomous systems requiring video understanding", "c": ["Data formats/interop", "Model serving/inference", "ML traffic mgmt"]}


draft_name: iso-iec-awi-26090-1
prompt_hash: 2eef7cbe5cbebcd0
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:42.579070+00:00
response_json:
  {"name": "iso-iec-awi-26090-1", "s": "Establishes framework for evaluating trustworthiness of city knowledge systems in smart city contexts. Covers concepts, characteristics, methodology, and use cases for knowledge trustworthiness assessment.", "n": 3, "nn": "Applies trustworthiness evaluation specifically to city/urban knowledge domains; moderately novel framing for smart cities context", "m": 2, "mn": "Early stage AWI (Advanced Work Item) with foundational overview content; lacks detailed technical specifications", "o": 3, "on": "Moderate overlap with general AI evaluation frameworks; distinct urban/city knowledge focus reduces overlap", "mo": 2, "mon": "Early development stage limits momentum indicators; city knowledge domain is emerging area", "r": 3, "rn": "Relevant for smart city deployments and urban data governance; limited relevance to broader AI systems", "c": ["Policy/governance", "AI safety/alignment", "Data formats/interop"]}


draft_name: iso-iec-awi-26160
prompt_hash: ef3db012fdd80d74
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:42.599699+00:00
response_json:
  {"name": "iso-iec-awi-26160", "s": "Extends ISO/IEC 15408 (Common Criteria) and ISO/IEC 18045 evaluation methodologies with AI-specific security assurance and functional requirements. Focuses on security evaluation of AI systems.", "n": 4, "nn": "Novel adaptation of mature security evaluation standards to AI context; addresses significant gap in AI security assurance", "m": 3, "mn": "Builds on established CC/CEM frameworks; AIspecific extensions are in development stage", "o": 2, "on": "Low overlap; uniquely bridges security evaluation standards with AI functionality assessment", "mo": 4, "mon": "Addresses critical security evaluation gap; strong momentum from established CC ecosystem", "r": 4, "rn": "Highly relevant for regulated AI deployments; essential for security-critical AI systems evaluation", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference"]}


draft_name: iso-iec-pwi-26200
prompt_hash: 232a2bd718bb6f0e
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:42.608678+00:00
response_json:
  {"name": "iso-iec-pwi-26200", "s": "Proposes comprehensive standard for LLM evaluation, ethical governance, interoperability, testing methodologies, bias mitigation, and secure deployment across domains. Scope limited to open, general-purpose LLMs.", "n": 3, "nn": "Moderately novel; consolidates existing LLM evaluation practices into single standard; interoperability focus adds value", "m": 2, "mn": "Early PWI (Proposal Work Item) stage; LLM field evolving rapidly, standard maturity uncertain", "o": 4, "on": "Significant overlap with emerging LLM evaluation frameworks and guidelines; covers well-trodden ground", "mo": 3, "mon": "LLM standardization is active area; proposal timing good but faces competition from de facto standards", "r": 5, "rn": "Extremely relevant; LLMs are dominant AI deployment model; covers healthcare, finance, education sectors", "c": ["AI safety/alignment", "Policy/governance", "Model serving/inference", "Data formats/interop", "Human-agent interaction"]}


draft_name: iso-np-ts-25280-1
prompt_hash: 6ba5743fa398518f
model: claude-haiku-4-5-20251001
request_json: batch[0]
created_at: 2026-03-08T17:21:42.616759+00:00
response_json:
  {"name": "iso-np-ts-25280-1", "s": "Establishes principles and considerations for records management in AI-enabled environments, covering both AI-generated and AI-associated records across all organization types.", "n": 3, "nn": "Moderately novel application of records management to AI context; fills gap in documentation standards for AI systems", "m": 2, "mn": "Early NP (New Proposal) stage with principles-level guidance; lacks detailed implementation specifications", "o": 2, "on": "Low overlap; unique focus on records management dimension of AI rather than AI evaluation itself", "mo": 2, "mon": "Records management + AI is emerging concern; early development stage limits momentum visibility", "r": 3, "rn": "Moderately relevant for compliance and governance; critical for regulated sectors; less relevant for AI capabilities", "c": ["Policy/governance", "Data formats/interop", "Other AI/agent"]}


