# llm_cache

draft_name: draft-yan-iba-routing-security-requirements
prompt_hash: 1c65504ec14c8d13
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-yan-iba-routing-security-requirements]
created_at: 2026-05-22T10:19:12.515223+00:00
response_json:
  [{"title": "Intent-based Agent Routing Security", "description": "Security requirements and architecture for protecting intent-based agent routing across Registration, Resolution, and Dispatch phases beyond traditional channel protection.", "type": "requirement"}]


draft_name: draft-yu-agent-identifier-rdap
prompt_hash: 5795091715c5360c
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-yu-agent-identifier-rdap]
created_at: 2026-05-22T10:19:17.189678+00:00
response_json:
  [{"title": "RDAP Profile for Agent Identifiers", "description": "An RDAP extension that defines object classes and query mechanisms for AI agent identifier registration data including locator bindings and operational metadata.", "type": "protocol"}]


draft_name: draft-yu-ai-agent-ipv6-networking-considerations
prompt_hash: 4910d9d6d7f631a4
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-yu-ai-agent-ipv6-networking-considerations]
created_at: 2026-05-22T10:19:17.206916+00:00
response_json:
  [{"title": "Agent Identifier to IPv6 Locator Mapping", "description": "A mechanism for associating stable Agent identifiers with IPv6 locators or Agent Gateways to support agent mobility and communication across network boundaries.", "type": "mechanism"}]


draft_name: draft-zhang-rtgwg-agent-policy-aware-network
prompt_hash: c9937cb0fdde1825
model: claude-sonnet-4-20250514
request_json: batch-ideas[draft-zhang-rtgwg-agent-policy-aware-network]
created_at: 2026-05-22T10:19:17.213109+00:00
response_json:
  [{"title": "AI Agent Policy-Aware Network Architecture", "description": "A network paradigm that transforms traditional flow-aware networks to agent-aware networks with policy-intent-based QoS through Agent Policy-aware Controllers and Devices.", "type": "architecture"}]


draft_name: _novelty_score_
prompt_hash: 8bbe8bfe3443a7c2
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:19:56.041949+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3343
  Draft: Warrant Certificate Authorities (WCA): Auditable Data Provenance for AI-Agent Tool-Call Chains
  Idea: 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.

  ---
  ID: 3344
  Draft: Remote Attestation with Multiple Verifiers
  Idea: Multi-Verifier Coordination Topologies
  Description: Architectural patterns for coordinating multiple verifiers to collectively assess trustworthiness of attesters in complex systems.

  ---
  ID: 3345
  Draft: Arm's Confidential Compute Architecture Reference Attestation Token
  Idea: 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.

  ---
  ID: 3346
  Draft: EAT Attestation Results
  Idea: 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.

  ---
  ID: 3347
  Draft: Concise Selector for Endorsements and Reference Values
  Idea: 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.

  ---
  ID: 3348
  Draft: Delegation Revalidation by DNS Resolvers
  Idea: 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.

  ---
  ID: 3349
  Draft: Delegation Revalidation by DNS Resolvers
  Idea: 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.

  ---
  ID: 3350
  Draft: DRIP Entity Tag Authentication Formats & Protocols for Broadcast Remote ID
  Idea: 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.

  ---
  ID: 3351
  Draft: Attestation Results for Secure Interactions
  Idea: 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.

  ---
  ID: 3352
  Draft: Attestation Results for Secure Interactions
  Idea: CBOR and JSON Serialization for Attestation Results
  Description: Dual serialization formats for attestation result information using CBOR and JSON to support diverse system requirements.

  ---
  ID: 3353
  Draft: Concise Reference Integrity Manifest
  Idea: 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.

  ---
  ID: 3354
  Draft: Concise Selector for Endorsements and Reference Values
  Idea: 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.

  ---
  ID: 3355
  Draft: EAT Attestation Results
  Idea: 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.

  ---
  ID: 3356
  Draft: EAT Attestation Results
  Idea: Composite Device Attestation Support
  Description: Extends attestation result encoding to handle composite devices with multiple attesters, allowing individual state representation for each attester component.

  ---
  ID: 3357
  Draft: Evidence Transformations
  Idea: 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.

  ---
  ID: 3358
  Draft: Inter-domain Source Address Validation (SAVNET) Architecture
  Idea: 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.

  ---
  ID: 3359
  Draft: Neighbor Discovery Considerations in IPv6 Deployments
  Idea: 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.

  ---
  ID: 3360
  Draft: Authoritative DNS Transport Signaling
  Idea: 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.

  ---
  ID: 3361
  Draft: On the Relationship Between Remote Attestation and Behavioral Evidence Recording
  Idea: 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.

  ---
  ID: 3362
  Draft: EPP Pre-Registration Verification
  Idea: 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.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3343": 4, "3344": 3, "3345": 2, "3346": 3, "3347": 3, "3348": 3, "3349": 2, "3350": 3, "3351": 3, "3352": 2, "3353": 3, "3354": 3, "3355": 3, "3356": 3, "3357": 3, "3358": 4, "3359": 3, "3360": 4, "3361": 3, "3362": 4}


draft_name: _novelty_score_
prompt_hash: 49963002b3da58ec
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:19:58.794143+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3363
  Draft: Decentralized RPKI Repository Architecture
  Idea: 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.

  ---
  ID: 3364
  Draft: Trustworthy Routing Discovery
  Idea: 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.

  ---
  ID: 3365
  Draft: Consideration of Applying Zero Trust Philosophy in Network Infrastructure
  Idea: 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.

  ---
  ID: 3366
  Draft: Problem Statement and Use Cases of Trustworthiness-based Routing
  Idea: 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.

  ---
  ID: 3367
  Draft: Problem Statement and Use Cases of Trustworthiness-based Routing
  Idea: 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.

  ---
  ID: 3368
  Draft: Registration Data Access Protocol (RDAP) Extension for Verified Contact Information
  Idea: 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.

  ---
  ID: 3369
  Draft: X.509 Certificate Extensions for Attestation Results
  Idea: 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.

  ---
  ID: 3370
  Draft: Agentic AI Use Cases
  Idea: 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.

  ---
  ID: 3371
  Draft: Evidence Transformations
  Idea: 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.

  ---
  ID: 3372
  Draft: Problem Statement and Requirements for Dynamic Multi-agent Secured Collaboration (DMSC)
  Idea: 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.

  ---
  ID: 3373
  Draft: Problem Statement and Requirements for Dynamic Multi-agent Secured Collaboration (DMSC)
  Idea: 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.

  ---
  ID: 3374
  Draft: Registration & Usage of DRIP Entity Tags for Trustworthy Air Domain Awareness
  Idea: 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.

  ---
  ID: 3375
  Draft: Registration & Usage of DRIP Entity Tags for Trustworthy Air Domain Awareness
  Idea: 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.

  ---
  ID: 3376
  Draft: Inter-domain Source Address Validation (SAVNET) Architecture
  Idea: 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.

  ---
  ID: 3377
  Draft: Domain-Verified Skills (DVS) Protocol
  Idea: 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.

  ---
  ID: 3378
  Draft: User Agent Accessibility Guidelines 1.0
  Idea: 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.

  ---
  ID: 3379
  Draft: Techniques for User Agent Accessibility Guidelines 1.0
  Idea: 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.

  ---
  ID: 3380
  Draft: User Agent Accessibility Guidelines (UAAG) 2.0
  Idea: 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.

  ---
  ID: 3381
  Draft: User Agent Accessibility Guidelines 2.0 Requirements
  Idea: 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.

  ---
  ID: 3382
  Draft: Client-Specific Web Services by Using User Agent Attributes
  Idea: 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.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3363": 3, "3364": 2, "3365": 2, "3366": 3, "3367": 3, "3368": 3, "3369": 3, "3370": 4, "3371": 3, "3372": 2, "3373": 2, "3374": 4, "3375": 4, "3376": 3, "3377": 4, "3378": 2, "3379": 1, "3380": 2, "3381": 1, "3382": 2}


draft_name: _novelty_score_
prompt_hash: 512a19e6e5e59ffa
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:01.318300+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3383
  Draft: User Agent Authentication Forms
  Idea: 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.

  ---
  ID: 3384
  Draft: Imagemapped Images and Image-Incapable User Agents
  Idea: 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.

  ---
  ID: 3385
  Draft: WAI-ARIA 1.0 User Agent Implementation Guide
  Idea: 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.

  ---
  ID: 3386
  Draft: Cookies: HTTP State Management Mechanism
  Idea: HTTP Cookie State Management
  Description: Defines Cookie and Set-Cookie header fields for maintaining stateful sessions over HTTP.

  ---
  ID: 3387
  Draft: Integrated Sensing and Communications (ISAC) use case for GREEN
  Idea: 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.

  ---
  ID: 3388
  Draft: Benchmarking Terminology for Large Language Model Serving
  Idea: LLM Serving Performance Terminology
  Description: Establishes shared vocabulary for benchmarking LLM inference systems including latency, throughput, resource utilization, and quality metrics.

  ---
  ID: 3389
  Draft: Agent Gateway Intercommunication Framework
  Idea: 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.

  ---
  ID: 3390
  Draft: Considerations of network/system for AI services
  Idea: Distributed AI Inference Architecture
  Description: Framework for deploying AI inference services across heterogeneous network environments combining cloud servers, edge devices, and resource-constrained hardware.

  ---
  ID: 3391
  Draft: Considerations of network/system for AI services
  Idea: 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.

  ---
  ID: 3392
  Draft: Clarification and enhancement of RFC7030 CSR Attributes definition
  Idea: 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.

  ---
  ID: 3393
  Draft: Multi-agent Collaboration Protocol Suites Architecture
  Idea: 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.

  ---
  ID: 3394
  Draft: Multi-agent Collaboration Protocol Suite based on Agent Gateway
  Idea: 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.

  ---
  ID: 3395
  Draft: Agent Context Protocol
  Idea: Agent Context Protocol
  Description: A standardized message and protocol specification for exchanging context information between AI agents.

  ---
  ID: 3396
  Draft: Agent Collaboration Protocols Architecture for Internet of Agents
  Idea: Agent Collaboration Protocols Architecture
  Description: A comprehensive reference architecture defining conceptual domains, functional components, and interfaces for interconnection and collaboration among heterogeneous agents.

  ---
  ID: 3397
  Draft: Agent Collaboration Protocols Architecture for Internet of Agents
  Idea: 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.

  ---
  ID: 3398
  Draft: Gateway Requirements for Dynamic Multi-agents Secured Collaboration
  Idea: 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.

  ---
  ID: 3399
  Draft: Requirements for Agent Gateway
  Idea: Agent Gateway Requirements
  Description: Specification of requirements for dedicated gateway entities to mediate agent-to-agent communications with enhanced scalability, efficiency, and security capabilities.

  ---
  ID: 3400
  Draft: Certificate Management Messages over CMS (CMC): Compliance Requirements
  Idea: CMC Compliance Requirements
  Description: A set of compliance statements defining requirements for implementing the Certificate Management over CMS (CMC) enrollment protocol.

  ---
  ID: 3401
  Draft: Extensible Simple Authentication and Security Layer (SASL)
  Idea: 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.

  ---
  ID: 3402
  Draft: Extensible Simple Authentication and Security Layer (SASL)
  Idea: 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.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3383": 3, "3384": 3, "3385": 2, "3386": 1, "3387": 4, "3388": 3, "3389": 1, "3390": 2, "3391": 2, "3392": 2, "3393": 1, "3394": 2, "3395": 3, "3396": 1, "3397": 2, "3398": 1, "3399": 1, "3400": 2, "3401": 4, "3402": 3}


draft_name: _novelty_score_
prompt_hash: 239d08fb2bb94f69
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:04.702916+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3403
  Draft: Extensible Simple Authentication and Security Layer (SASL)
  Idea: Server Extra Authentication Request Mechanism
  Description: A mechanism allowing servers to request fulfillment of additional authentication requirements during or after the initial authentication exchange.

  ---
  ID: 3404
  Draft: Agents Networking Scenarios in Enterprise and Broadband Networks
  Idea: 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.

  ---
  ID: 3405
  Draft: SSH Agent Protocol
  Idea: SSH Agent Protocol
  Description: A protocol enabling SSH implementations to delegate key management and signing operations to a separate key agent.

  ---
  ID: 3406
  Draft: Agent Definition Language (ADL)
  Idea: 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.

  ---
  ID: 3407
  Draft: Security Requirements for AI Agents
  Idea: 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.

  ---
  ID: 3408
  Draft: WIMSE Applicability for AI Agents
  Idea: 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.

  ---
  ID: 3409
  Draft: Simple Certificate Enrollment Protocol
  Idea: 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.

  ---
  ID: 3410
  Draft: Framework, Use Cases and Requirements for AI Agent Protocols
  Idea: 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.

  ---
  ID: 3411
  Draft: Framework, Use Cases and Requirements for AI Agent Protocols
  Idea: 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.

  ---
  ID: 3412
  Draft: Distributed Inference Network (DIN) Problem Statement, Use Cases, and Requirements
  Idea: 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.

  ---
  ID: 3413
  Draft: Agent Considerations
  Idea: Agent Consideration Section
  Description: A standardized section for IETF specifications that provides guidance enabling AI agents to consume specifications and generate code from them.

  ---
  ID: 3414
  Draft: Agent Considerations
  Idea: Agentcards for Code Generation
  Description: A structured format for annotating examples and data models within IETF specifications to facilitate AI-driven code generation.

  ---
  ID: 3415
  Draft: AI Agent protocols for 6G systems
  Idea: 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.

  ---
  ID: 3416
  Draft: Requirements for High-performance Wide Area Networks
  Idea: 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.

  ---
  ID: 3417
  Draft: Service Binding Mapping for Agents
  Idea: AGENT DNS Resource Record Type
  Description: Defines a new SVCB-compatible DNS resource record type for agent service resolution and discovery.

  ---
  ID: 3418
  Draft: Agent Identity Managenment
  Idea: 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.

  ---
  ID: 3419
  Draft: Agent Identity Managenment
  Idea: 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.

  ---
  ID: 3420
  Draft: Common User Agent Problems
  Idea: 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.

  ---
  ID: 3421
  Draft: Common User Agent Problems
  Idea: 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.

  ---
  ID: 3422
  Draft: A DNS-Based Framework for Privacy-Preserving Identity
  Idea: 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.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3403": 3,
    "3404": 1,
    "3405": 2,
    "3406": 4,
    "3407": 3,
    "3408": 3,
    "3409": 2,
    "3410": 3,
    "3411": 3,
    "3412": 4,
    "3413": 5,
    "3414": 5,
    "3415": 3,
    "3416": 2,
    "3417": 4,
    "3418": 3,
    "3419": 3,
    "3420": 3,
    "3421": 4,
    "3422": 4
  }


draft_name: _novelty_score_
prompt_hash: 146be2aa4c198f06
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:07.146166+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3423
  Draft: A DNS-Based Framework for Privacy-Preserving Identity
  Idea: 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.

  ---
  ID: 3424
  Draft: A DNS-Based Framework for Privacy-Preserving Identity
  Idea: 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.

  ---
  ID: 3425
  Draft: The Use Cases for Secure Routing Path
  Idea: Security-Aware Routing Mechanism
  Description: Routing decisions incorporate security and trustworthiness assessments of links and forwarding nodes alongside traditional path metrics.

  ---
  ID: 3426
  Draft: Framework of Distributed AIDC Network
  Idea: Distributed AIDC Network Framework
  Description: A framework for lossless interconnection and reliable data transmission across multiple geographically distributed data centers to support large-scale distributed model training.

  ---
  ID: 3427
  Draft: The Hypertext Transfer Protocol Attestable (HTTPA) Version 2
  Idea: HTTP Attestable Version 2 Protocol
  Description: An HTTP extension enabling trusted communication through Trusted Execution Environment attestation without requiring TLS, treating TEEs as requestable Internet resources.

  ---
  ID: 3428
  Draft: Ranking Domain Name System data
  Idea: Extended DNS Data Trustworthiness Ranking
  Description: An extended ranking system for DNS data trustworthiness that includes root server names/addresses and DNSSEC-verifiable data with assigned numerical values for comparison.

  ---
  ID: 3429
  Draft: Trusted Path Routing
  Idea: Trusted Path Routing
  Description: A routing mechanism that forwards sensitive traffic exclusively through network devices that have been recently appraised and verified for trustworthiness.

  ---
  ID: 3430
  Draft: ETSI EN 304 223: Baseline Cyber Security Requirements for AI Models and Systems
  Idea: Baseline Cyber Security Requirements for AI
  Description: Establishes minimum security requirements and controls for AI model and system development, deployment, and operation.

  ---
  ID: 3431
  Draft: ETSI GR ENI 007: ENI Definition of Categories for AI Application to Networks
  Idea: AI Application Categories for Networks
  Description: Defines a taxonomy of categories for classifying how AI can be applied to network management and operations.

  ---
  ID: 3432
  Draft: ETSI GR SAI 001: AI Threat Ontology
  Idea: AI Threat Ontology
  Description: Provides a structured taxonomy of threats, vulnerabilities, and attack vectors specific to AI systems.

  ---
  ID: 3433
  Draft: ETSI GR SAI 002: Data Supply Chain Security
  Idea: Data Supply Chain Security
  Description: Defines security requirements and controls for managing data provenance, integrity, and integrity throughout the AI data supply chain.

  ---
  ID: 3434
  Draft: ETSI GR SAI 003: Security Testing of AI
  Idea: Security Testing Methodology for AI
  Description: Establishes testing approaches, methodologies, and criteria for evaluating the security properties and robustness of AI systems.

  ---
  ID: 3435
  Draft: ETSI GR SAI 004: Problem Statement on AI and Automated Decision Making
  Idea: AI Decision-Making Risk Framework
  Description: Systematic identification and categorization of risks arising from automated decision-making systems in AI applications.

  ---
  ID: 3436
  Draft: ETSI GR SAI 004: Problem Statement on AI and Automated Decision Making
  Idea: Problem Taxonomy for AI Systems
  Description: Structured classification of technical and societal problems specific to AI and automated decision making.

  ---
  ID: 3437
  Draft: ETSI GR SAI 005: Mitigation Strategy Report
  Idea: AI Risk Mitigation Strategy
  Description: Comprehensive set of mitigation techniques and controls to address identified risks in AI and automated decision-making systems.

  ---
  ID: 3438
  Draft: ETSI GR SAI 006: Role of Hardware in AI Security
  Idea: Hardware-Based AI Security Architecture
  Description: Integration of hardware mechanisms and design principles to enhance security, trustworthiness, and safety of AI systems.

  ---
  ID: 3439
  Draft: ETSI GS ENI 001: ENI Use Cases
  Idea: ENI Application Use Cases
  Description: Concrete scenarios and requirements for deploying intent-based networking across diverse operational domains.

  ---
  ID: 3440
  Draft: ETSI GS ENI 002: ENI Requirements
  Idea: ENI System Requirements
  Description: Technical, functional, and operational requirements for end-to-end intent-based network infrastructure.

  ---
  ID: 3441
  Draft: ETSI GS ENI 005: System Architecture
  Idea: ENI System Architecture Framework
  Description: Defines the overall system architecture for Ericsson Network Intelligence with component interactions and data flows.

  ---
  ID: 3442
  Draft: ETSI GS ENI 019: Representing, Inferring, and Applying Context Information
  Idea: Context Information Representation and Inference
  Description: Establishes methods for representing, inferring, and applying contextual information within ENI systems for intelligent decision-making.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3423": 4, "3424": 3, "3425": 4, "3426": 2, "3427": 4, "3428": 3, "3429": 4, "3430": 2, "3431": 2, "3432": 2, "3433": 3, "3434": 3, "3435": 2, "3436": 2, "3437": 2, "3438": 3, "3439": 1, "3440": 1, "3441": 1, "3442": 3}


draft_name: _novelty_score_
prompt_hash: 1cf8871cfd81f282
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:09.722838+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3443
  Draft: IEC/NP TS 62366-3: Medical devices — Part 3: Guidance on the application of usability engineering to medical devices using artificial intelligence and machine learning technology
  Idea: Usability Engineering Guidance for AI/ML Medical Devices
  Description: Provides guidance on applying usability engineering processes to medical devices that incorporate artificial intelligence and machine learning technology.

  ---
  ID: 3444
  Draft: ISO 12813:2015: Electronic fee collection — Compliance check communication for autonomous systems
  Idea: Compliance Check Communication Protocol for Fee Collection
  Description: Defines short-range communication protocol between vehicle on-board equipment and roadside interrogators to verify compliance with toll regime rules.

  ---
  ID: 3445
  Draft: ISO 12813:2019: Electronic fee collection — Compliance check communication for autonomous systems
  Idea: Compliance Check Communication Protocol
  Description: Short-range communication protocol between vehicle on-board equipment and roadside interrogators to verify that OBE-reported road usage data complies with toll regime rules.

  ---
  ID: 3446
  Draft: ISO 12813:2019: Electronic fee collection — Compliance check communication for autonomous systems
  Idea: OBE, Vehicle, and Contract Identification
  Description: Mechanism to identify the on-board equipment, associated vehicle, and toll contract during compliance checking interactions.

  ---
  ID: 3447
  Draft: ISO 12813:2024: Electronic fee collection — Compliance check communication for autonomous systems
  Idea: Compliance Check Communication Protocol
  Description: Short-range communication protocol between vehicle on-board equipment and fixed/mobile roadside equipment or hand-held units to verify OBE-reported road usage data against toll regime rules.

  ---
  ID: 3448
  Draft: ISO 13141:2015: Electronic fee collection — Localisation augmentation communication for autonomous systems
  Idea: Localization Augmentation Communication Protocol
  Description: Short-range communication protocol between vehicle on-board equipment and fixed roadside equipment to provide location and heading information for autonomous electronic fee collection systems.

  ---
  ID: 3449
  Draft: ISO 13141:2015: Electronic fee collection — Localisation augmentation communication for autonomous systems
  Idea: Roadside Equipment Authentication
  Description: Security mechanism to protect on-board equipment from manipulation by false or unauthorized roadside equipment.

  ---
  ID: 3450
  Draft: ISO 13141:2024: Electronic fee collection — Localization augmentation communication for autonomous systems
  Idea: Localization Augmentation Communication Protocol
  Description: Short-range communication protocol between on-board equipment and roadside equipment to augment vehicle localization and charge object identification in autonomous electronic fee collection systems.

  ---
  ID: 3451
  Draft: ISO 13141:2024: Electronic fee collection — Localization augmentation communication for autonomous systems
  Idea: RSE Manipulation Protection Mechanism
  Description: Security mechanism to protect on-board equipment from false or manipulated location and heading information transmitted by roadside equipment.

  ---
  ID: 3452
  Draft: ISO 16363:2012: Space data and information transfer systems — Audit and certification of trustworthy digital repositories
  Idea: Digital Repository Trustworthiness Audit Framework
  Description: Recommended practice for assessing and certifying the trustworthiness of digital repositories across all types and scales.

  ---
  ID: 3453
  Draft: ISO 16363:2025: Space data and information transfer systems — Audit and certification of trustworthy digital repositories
  Idea: Digital Repository Trustworthiness Audit Framework
  Description: CCSDS Recommended Practice for auditing and certifying trustworthiness of digital repositories applicable to the entire range of repository types.

  ---
  ID: 3454
  Draft: ISO 16919:2014: Space data and information transfer systems — Requirements for bodies providing audit and certification of candidate trustworthy digital repositories
  Idea: Digital Repository Certification Body Requirements
  Description: Requirements and operational framework for organizations performing audit and certification of digital repositories using ISO 16363 metrics and assessment procedures.

  ---
  ID: 3455
  Draft: ISO 16919:2025: Space data and information transfer systems — Requirements for bodies providing audit and certification of candidate trustworthy digital repositories
  Idea: Digital Repository Certification Body Requirements
  Description: CCSDS Recommended Practice defining operational requirements for certification bodies assessing digital repository trustworthiness using the latest ISO 16363 standards.

  ---
  ID: 3456
  Draft: ISO 17575-1:2016: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging
  Idea: Configurable charge report generation
  Description: A mechanism for assembling charge reports from road usage data that can be configured per toll scheme according to local needs.

  ---
  ID: 3457
  Draft: ISO 17575-1:2016: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging
  Idea: Front End to Back End data exchange protocol
  Description: A standardized protocol defining format and semantics for data exchange between OBE-based Front Ends and Back Ends in autonomous toll systems.

  ---
  ID: 3458
  Draft: ISO 17575-2:2016: Electronic fee collection — Application interface definition for autonomous systems — Part 2: Communication and connection to the lower layers
  Idea: Communication stack abstraction API
  Description: A medium-independent abstract API that enables conveyance of ISO 17575 data elements over any communication stack and media suitable for mobile toll collection.

  ---
  ID: 3459
  Draft: ISO 17575-3:2016: Electronic fee collection — Application interface definition for autonomous systems — Part 3: Context data
  Idea: Toll context data specification
  Description: A data model defining content, semantics, and format for context data transmitted from Back End to Front End to configure charging processes for different tolling principles.

  ---
  ID: 3460
  Draft: ISO 17757:2017: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system safety
  Idea: Autonomous machine system safety framework
  Description: A comprehensive safety specification covering autonomous and semi-autonomous machines in earth-moving and mining operations, including hardware, software, systems, and infrastructure criteria.

  ---
  ID: 3461
  Draft: ISO 17757:2019: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system safety
  Idea: Autonomous machine system safety framework
  Description: A comprehensive safety specification covering autonomous and semi-autonomous machines in earth-moving and mining operations, including hardware, software, systems, and infrastructure criteria.

  ---
  ID: 3462
  Draft: ISO 18374:2025: Dentistry — Artificial intelligence (AI) and augmented intelligence (AuI) based 2D radiograph analysis — Data generation, data annotation and data processing
  Idea: AI/AuI Training and Validation Data Requirements for Dental Radiography
  Description: Establishes requirements for curating, annotating, and validating training and test datasets specific to AI-enabled 2D dental radiograph analysis systems.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3443": 3, "3444": 2, "3445": 2, "3446": 2, "3447": 2, "3448": 2, "3449": 2, "3450": 2, "3451": 2, "3452": 3, "3453": 3, "3454": 2, "3455": 2, "3456": 3, "3457": 2, "3458": 3, "3459": 3, "3460": 3, "3461": 3, "3462": 3}


draft_name: _novelty_score_
prompt_hash: c747686a498397e7
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:12.816333+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3463
  Draft: ISO 18374:2025: Dentistry — Artificial intelligence (AI) and augmented intelligence (AuI) based 2D radiograph analysis — Data generation, data annotation and data processing
  Idea: Goals, Limitations, and Target Population Documentation for Dental AI
  Description: Mandates explicit documentation of intended clinical goals, system limitations, target end users, and target patient populations for dental radiograph analysis software.

  ---
  ID: 3464
  Draft: ISO 18497-1:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 1: Machine design principles and vocabulary
  Idea: Safety Design Principles for Partially/Semi-Autonomous Agricultural Machinery
  Description: Establishes foundational design principles and vocabulary for agricultural machinery with varying levels of automation and guidance on communicating residual risks.

  ---
  ID: 3465
  Draft: ISO 18497-2:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 2: Design principles for obstacle protection systems
  Idea: Obstacle Protection System Design for Autonomous Agricultural Machinery
  Description: Specifies design principles for protective systems that detect and respond to obstacles in autonomous agricultural equipment.

  ---
  ID: 3466
  Draft: ISO 18497-3:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 3: Autonomous operating zones
  Idea: Autonomous Operating Zone Boundary Enforcement Systems
  Description: Defines principles for perception and supervisory systems that prevent autonomous agricultural machinery from exceeding designated operating zone boundaries.

  ---
  ID: 3467
  Draft: ISO 18497-4:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 4: Verification methods and validation principles
  Idea: Verification and Validation Methodology for Autonomous Agricultural Machinery
  Description: Establishes verification methods and validation principles for demonstrating safe operation of partially and fully autonomous agricultural machinery.

  ---
  ID: 3468
  Draft: ISO 18829:2017: Document management — Assessing ECM/EDRM implementations — Trustworthiness
  Idea: ECM/EDRM Trustworthiness Assessment Methodology
  Description: A standardized methodology for evaluating whether electronically stored information is maintained in reliable and trustworthy ECM/EDRM environments.

  ---
  ID: 3469
  Draft: ISO 19178-1:2025: Geographic information — Training data markup language for artificial intelligence — Part 1: Conceptual model
  Idea: UML Conceptual Model for EO Training Data
  Description: A unified UML model that maximizes interoperability and usability of Earth Observation imagery training data for AI/ML applications.

  ---
  ID: 3470
  Draft: ISO 20682:2026: Autonomous underwater vehicles — Risk and reliability
  Idea: AUV Risk and Reliability Framework
  Description: A specification framework for assessing risks and reliability of autonomous underwater vehicles covering sensors, communication devices, and digital mission components.

  ---
  ID: 3471
  Draft: ISO 22133:2026: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Functional requirements, specifications and communication protocol
  Idea: Multi-Vendor Test Object Control Protocol
  Description: A communication protocol and message format specification enabling safe interoperable control and monitoring of test objects from multiple vendors for active safety and autonomous vehicle testing.

  ---
  ID: 3472
  Draft: ISO 22373:2025: Security and resilience — Authenticity, integrity and trust for products and documents — Framework for establishing trustworthy supply and value chains
  Idea: Supply Chain Trustworthiness Framework
  Description: A framework with guidelines and interoperable data structures for stakeholders to exchange and establish trustworthiness information across supply and value chains.

  ---
  ID: 3473
  Draft: ISO 22733-1:2021: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 1: Car-to-car
  Idea: Longitudinal car-to-car AEB evaluation method
  Description: Standardized test methodology for evaluating autonomous emergency braking system performance when a vehicle approaches another vehicle in the same lane during straight-line driving.

  ---
  ID: 3474
  Draft: ISO 22733-1:2021: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 1: Car-to-car
  Idea: Collision avoidance vs mitigation assessment
  Description: Framework for measuring vehicle behavior capacity to either avoid collisions entirely or mitigate their severity as primary performance metric.

  ---
  ID: 3475
  Draft: ISO 22733-1:2022: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 1: Car-to-car
  Idea: Longitudinal car-to-car AEB evaluation method
  Description: Standardized test methodology for evaluating autonomous emergency braking system performance when a vehicle approaches another vehicle in the same lane during straight-line driving.

  ---
  ID: 3476
  Draft: ISO 22733-1:2022: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 1: Car-to-car
  Idea: Collision avoidance vs mitigation assessment
  Description: Framework for measuring vehicle behavior capacity to either avoid collisions entirely or mitigate their severity as primary performance metric.

  ---
  ID: 3477
  Draft: ISO 22733-2:2023: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 2: Car to pedestrian
  Idea: Car-to-pedestrian AEB evaluation method
  Description: Test methodology for evaluating autonomous emergency braking system performance in scenarios where pedestrians walk longitudinally on the same road or approach perpendicular to the vehicle's path.

  ---
  ID: 3478
  Draft: ISO 22733-2:2023: Road vehicles — Test method to evaluate the performance of autonomous emergency braking systems — Part 2: Car to pedestrian
  Idea: Forward collision warning integration with AEB
  Description: Specification that forward collision warning systems qualify as part of AEBS when they provide warning before braking intervention occurs.

  ---
  ID: 3479
  Draft: ISO 23725:2024: Autonomous system and fleet management system interoperability
  Idea: FMS-AHS interoperability protocol
  Description: Communication protocol and interface standard between fleet management systems and autonomous haulage systems defining message structures, telemetry signals, map sharing, and task assignments for surface mining operations.

  ---
  ID: 3480
  Draft: ISO 23725:2024: Autonomous system and fleet management system interoperability
  Idea: Autonomous haul truck dispatch and coordination architecture
  Description: System architecture for coordinating dispatch of autonomous haul trucks and synchronizing production information between fleet management and autonomous systems in mining contexts.

  ---
  ID: 3481
  Draft: ISO 24801-2:2014: Recreational diving services — Requirements for the training of recreational scuba divers — Part 2: Level 2 — Autonomous diver
  Idea: Level 2 Autonomous Diver Competency Framework
  Description: Defines measurable competencies and evaluation criteria for scuba divers operating independently without direct supervision at recreational diving level 2.

  ---
  ID: 3482
  Draft: ISO 37168:2022: Smart community infrastructures — Guidance on smart transportation by Electric, Connected and Autonomous Vehicles (eCAVs) and its application to on-demand responsive passenger services with shared vehicles
  Idea: Staged Implementation Protocol for eCAV On-Demand Services
  Description: Provides phased deployment guidance for electric, connected, and autonomous vehicle passenger and delivery services with focus on shared on-demand responsive transport.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3463": 3, "3464": 2, "3465": 3, "3466": 4, "3467": 2, "3468": 3, "3469": 4, "3470": 2, "3471": 4, "3472": 3, "3473": 2, "3474": 3, "3475": 2, "3476": 3, "3477": 2, "3478": 3, "3479": 4, "3480": 3, "3481": 2, "3482": 3}


draft_name: _novelty_score_
prompt_hash: d981e857b088a1ca
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:15.558865+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3483
  Draft: ISO 37181:2022: Smart community infrastructures — Smart transportation by autonomous vehicles on public roads
  Idea: Autonomous Vehicle Operational Deployment Framework
  Description: Establishes guidelines and organizational requirements for implementing autonomous vehicles as operational systems on public roads to enhance safety and address urban transportation challenges.

  ---
  ID: 3484
  Draft: ISO 39003:2023: Road traffic safety (RTS) — Guidance on ethical considerations relating to safety for autonomous vehicles
  Idea: Ethical Decision-Making Design Guidance for Level 5 AVs
  Description: Provides ethical considerations framework for guiding the design of autonomous vehicle decision-making processes in safety-critical scenarios without prescribing outcomes.

  ---
  ID: 3485
  Draft: ISO/AWI 18460: Powered lawn and garden equipment — Internal-combustion engine-powered autonomous lawnmowers
  Idea: Autonomous Lawnmower Safety Requirements
  Description: Specifies safety requirements and verification methods for combustion-engine-powered autonomous lawnmowers with metallic or centrifugal cutting means.

  ---
  ID: 3486
  Draft: ISO/AWI 25922: Ships and marine technology — Method for defining and allocating capabilities and responsibilities between maritime autonomous surface ships and their remote operators
  Idea: Capability-Responsibility Allocation Framework for MASS
  Description: A method for formally defining and allocating autonomous capabilities and human operator responsibilities in maritime autonomous surface ships based on automation determinism and operator response time constraints.

  ---
  ID: 3487
  Draft: ISO/AWI 25922: Ships and marine technology — Method for defining and allocating capabilities and responsibilities between maritime autonomous surface ships and their remote operators
  Idea: Deterministic Operator Takeover Protocol
  Description: A protocol ensuring operators receive alerts with sufficient lead time to regain situational awareness and execute safe interventions with guaranteed worst-case response time bounds.

  ---
  ID: 3488
  Draft: ISO/AWI 25934: Ships and marine technology — Guidelines for the development of verification procedures for autonomous navigation systems
  Idea: Structured Verification Process for Autonomous Navigation Systems
  Description: A systematic verification procedure framework for autonomous navigation systems in MASS that ensures safety and reliability assessment across multiple operational modes.

  ---
  ID: 3489
  Draft: ISO/AWI 26253: Guidelines for establishing a centralized control system for hospital’s internal pharmaceutical logistics using autonomous mobile robots
  Idea: Centralized Control System for Hospital Pharmaceutical Logistics with AMRs
  Description: An architecture and operational framework for a centralized control system managing autonomous mobile robot logistics in hospitals, including real-time monitoring, task allocation, failure response, and record-keeping.

  ---
  ID: 3490
  Draft: ISO/AWI 29999: Education and learning services — Application of Artificial Intelligence (AI) Technology — Ethical Guidelines
  Idea: Ethical Guidelines Framework for AI in Education Services
  Description: A set of ethical principles and recommendations for responsible application of artificial intelligence technology across educational organizations.

  ---
  ID: 3491
  Draft: ISO/AWI TR 25896: Management of terminology resources - Artificial intelligence for terminology management
  Idea: AI-driven terminology resource management
  Description: Framework for applying artificial intelligence techniques to automate and optimize the management, organization, and maintenance of terminology resources.

  ---
  ID: 3492
  Draft: ISO/AWI TR 3510: Advanced automated mining systems – Communication interface for interoperability between a supervisor system and heterogenous autonomous machine controllers
  Idea: Standardized communication interface for mining system interoperability
  Description: Protocol defining communication standards between supervisor systems and heterogeneous autonomous machine controllers in advanced automated mining environments.

  ---
  ID: 3493
  Draft: ISO/CD 19178-2: Training data markup language for artificial intelligence — Part 2: JSON encoding
  Idea: JSON encoding for training data markup language
  Description: JSON serialization format for a markup language designed to annotate and structure training datasets for artificial intelligence models.

  ---
  ID: 3494
  Draft: ISO/CD 19178-3: Training data markup language for artificial intelligence — Part 3: XML encoding
  Idea: XML encoding for training data markup language
  Description: XML serialization format for a markup language designed to annotate and structure training datasets for artificial intelligence models.

  ---
  ID: 3495
  Draft: ISO/CD 21520: Project, programme and portfolio management — Artificial intelligence — Concepts, applications, and implications
  Idea: AI Governance Framework for P3M
  Description: A governance framework for managing AI adoption risks and benefits within project, programme, and portfolio management contexts.

  ---
  ID: 3496
  Draft: ISO/CD 21520: Project, programme and portfolio management — Artificial intelligence — Concepts, applications, and implications
  Idea: AI Technology Assessment for P3M
  Description: Guidance methodology for organizations to evaluate and improve existing AI technologies that support P3M operations.

  ---
  ID: 3497
  Draft: ISO/CD 24051-2: Medical laboratories — Part 2: Digital pathology and artificial intelligence (AI)-based image analysis
  Idea: Digital Whole Slide Image Processing
  Description: Specification for digitalization and processing of slide-mounted tissue sections to support AI-based pathology analysis.

  ---
  ID: 3498
  Draft: ISO/CD 24051-2: Medical laboratories — Part 2: Digital pathology and artificial intelligence (AI)-based image analysis
  Idea: AI-Based Image Analysis for Anatomical Pathology
  Description: Requirements and recommendations for AI algorithms to analyze digital pathology images in clinical laboratory workflows.

  ---
  ID: 3499
  Draft: ISO/CD 25132: Classification of civil unmanned aircraft system (UAS) autonomous flight control levels
  Idea: UAS Autonomous Flight Control Level Classification
  Description: A six-level classification system (0-5) for civil unmanned aircraft systems based on human-machine role allocation and autonomy degree.

  ---
  ID: 3500
  Draft: ISO/CD 25268: Guidelines for Hospital Internal Logistics Services using Autonomous Mobile Robots for the Delivery of Pharmaceuticals
  Idea: Hospital Internal Logistics with Autonomous Mobile Robots
  Description: Guidelines for safe and reliable deployment of autonomous mobile robots in hospital pharmaceutical delivery, including physical design, packaging, emergency procedures, and environmental integration.

  ---
  ID: 3501
  Draft: ISO/CD TR 22957: Document management — Trustworthy content/records management environments - Best practices
  Idea: Enterprise Content Management Implementation Best Practices
  Description: Guidelines and procedures for planning, designing, and implementing ECM technologies with focus on trustworthy records management across organizational lifecycles.

  ---
  ID: 3502
  Draft: ISO/DIS 16400-6: Automation systems and integration — Equipment behaviour catalogues for virtual production systems — Part 6: An equipment behaviour catalogue with machine learning models
  Idea: ML Model Integration in Equipment Behaviour Catalogues
  Description: A framework for embedding machine learning models as first-class components within equipment behaviour descriptions for virtual production systems.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3483": 2, "3484": 3, "3485": 2, "3486": 4, "3487": 4, "3488": 2, "3489": 3, "3490": 2, "3491": 3, "3492": 2, "3493": 1, "3494": 1, "3495": 3, "3496": 2, "3497": 2, "3498": 2, "3499": 3, "3500": 3, "3501": 2, "3502": 4}


draft_name: _novelty_score_
prompt_hash: 072cfd9decb5b45a
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:17.945563+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3503
  Draft: ISO/DIS 17575-4: Electronic fee collection — Application interface definition for autonomous systems — Part 4: Roaming
  Idea: EFC Roaming Application Interface
  Description: A standardized application interface enabling electronic fee collection systems to interoperate across autonomous systems with roaming capabilities.

  ---
  ID: 3504
  Draft: ISO/DIS 24051-1: Medical laboratories — Part 1: General principles for the application of artificial intelligence in medical laboratories
  Idea: AI Application Principles for Medical Laboratories
  Description: General principles governing the deployment of AI techniques (including ML, deep learning, expert systems, NLP, and image analysis) in clinical laboratory workflows.

  ---
  ID: 3505
  Draft: ISO/DIS 42501: Sharing economy — General trustworthiness and safety requirements for digital platforms
  Idea: Digital Platform Trustworthiness and Safety Requirements
  Description: Specification of general trustworthiness and safety requirements for sharing economy platform operators to establish baseline trust and safety standards.

  ---
  ID: 3506
  Draft: ISO/DTR 12786: Intelligent transport systems — Big data and artificial intelligence supporting intelligent transport systems — Use cases
  Idea: Big Data and AI Use Cases for Intelligent Transport Systems
  Description: A collection of use cases demonstrating applications of big data and artificial intelligence technologies within intelligent transport systems contexts.

  ---
  ID: 3507
  Draft: ISO/DTS 24971-2.2: Medical devices — Guidance on the application of ISO 14971 — Part 2: Machine learning in artificial intelligence
  Idea: ML-specific risk management framework
  Description: Extends ISO 14971 risk management process with specific guidance for machine learning-enabled medical devices covering data management, feature extraction, bias, security, model training, and evaluation.

  ---
  ID: 3508
  Draft: ISO/FDIS 15801: Document management — Electronically stored information — Requirements and guidance for trustworthiness and reliability
  Idea: Trustworthy electronically stored information system
  Description: Specifies implementation and operational requirements for information management systems that maintain trustworthiness and reliability of diverse electronic records over time through policies, procedures, technology, and audit mechanisms.

  ---
  ID: 3509
  Draft: ISO/IEC 12792:2024: Transparency taxonomy of AI systems
  Idea: AI system transparency taxonomy
  Description: Establishes a taxonomy of information elements to identify and address transparency needs across different AI stakeholders and their governance objectives.

  ---
  ID: 3510
  Draft: ISO/IEC 12792:2025: Information technology — Artificial intelligence (AI) — Transparency taxonomy of AI systems
  Idea: AI transparency information taxonomy
  Description: Specifies a taxonomy of information elements describing transparency semantics and stakeholder-specific relevance for AI system governance across all application domains.

  ---
  ID: 3511
  Draft: ISO/IEC 15938-17:2022: Information technology — Multimedia content description interface — Part 17: Compression of neural networks for multimedia content description and analysis
  Idea: Neural network parameter compression coding
  Description: Defines Neural Network Coding as a compressed representation format for trained neural network parameters with sparsification, transformation, quantization, and entropy coding methods.

  ---
  ID: 3512
  Draft: ISO/IEC 15938-17:2024: Information technology — Multimedia content description interface — Part 17: Compression of neural networks for multimedia content description and analysis
  Idea: Neural Network Coding (NNC)
  Description: A compressed bitstream representation and decoding process for trained neural network parameters and weights that complements existing network topology exchange formats.

  ---
  ID: 3513
  Draft: ISO/IEC 15938-17:2024: Information technology — Multimedia content description interface — Part 17: Compression of neural networks for multimedia content description and analysis
  Idea: Differential Neural Network Updates
  Description: A compression method for encoding parameter changes relative to a base network, enabling efficient redistribution of fine-tuned or transfer-learned models.

  ---
  ID: 3514
  Draft: ISO/IEC 20546:2019: Information technology — Big data — Overview and vocabulary
  Idea: Big Data Terminology Framework
  Description: A comprehensive set of standardized terms and definitions establishing a conceptual foundation for big data-related standards and communication.

  ---
  ID: 3515
  Draft: ISO/IEC 20547-3:2020: Information technology — Big data reference architecture — Part 3: Reference architecture
  Idea: Big Data Reference Architecture (BDRA)
  Description: A two-viewpoint architectural framework defining user roles and functional layers with component classes to standardize big data ecosystem implementation.

  ---
  ID: 3516
  Draft: ISO/IEC 22989:2022: Information technology — Artificial intelligence — AI concepts and terminology
  Idea: AI Terminology and Concepts Framework
  Description: Establishes standardized terminology and conceptual definitions for artificial intelligence across the field.

  ---
  ID: 3517
  Draft: ISO/IEC 22989:2022/DAmd 1: Information technology — Artificial intelligence — Artificial intelligence concepts and terminology — Amendment 1: Generative AI
  Idea: Generative AI Concepts and Terminology
  Description: Extends AI terminology framework with standardized concepts and definitions specific to generative AI systems.

  ---
  ID: 3518
  Draft: ISO/IEC 23053:2022: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)
  Idea: Generic ML-based AI System Framework
  Description: Defines a generic architectural framework describing the structure and components of AI systems built with machine learning technology.

  ---
  ID: 3519
  Draft: ISO/IEC 23053:2022/DAmd 1: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML) — Amendment 1: Generative AI
  Idea: Generative AI Framework Extension
  Description: Extension to the ML systems framework to address governance, risk, and quality requirements specific to generative AI systems.

  ---
  ID: 3520
  Draft: ISO/IEC 23093-5:2025: Information technology — Internet of media things — Part 5: IoMT autonomous collaboration
  Idea: IoMT Mission Management Protocol
  Description: Protocol and data formats (XML-based) for mission assignment and control between media things and end-users/system managers.

  ---
  ID: 3521
  Draft: ISO/IEC 23093-5:2025: Information technology — Internet of media things — Part 5: IoMT autonomous collaboration
  Idea: IoMT Autonomous Collaboration Framework
  Description: Framework enabling autonomous coordination and collaboration among networks of media things with structured command and feedback interfaces.

  ---
  ID: 3522
  Draft: ISO/IEC 23894:2023: Information technology — Artificial intelligence — Guidance on risk management
  Idea: AI Risk Management Guidance Framework
  Description: Provides systematic guidance for identifying, assessing, and mitigating risks throughout the development and deployment lifecycle of AI systems.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3503": 3, "3504": 3, "3505": 3, "3506": 2, "3507": 4, "3508": 3, "3509": 4, "3510": 4, "3511": 4, "3512": 3, "3513": 4, "3514": 1, "3515": 2, "3516": 1, "3517": 3, "3518": 2, "3519": 3, "3520": 3, "3521": 3, "3522": 2}


draft_name: _novelty_score_
prompt_hash: 2fc89bd668e64605
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:20.363512+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3523
  Draft: ISO/IEC 24029-2:2023: Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 2: Methodology for the use of formal methods
  Idea: Formal Methods Methodology for Neural Network Robustness Assessment
  Description: Establishes methodology for selecting, applying, and managing formal verification techniques to prove robustness properties of neural networks.

  ---
  ID: 3524
  Draft: ISO/IEC 24668:2022: Information technology — Artificial intelligence — Process management framework for big data analytics
  Idea: Big Data Analytics Process Management Framework
  Description: Defines an organizational process framework encompassing stakeholder coordination, competency development, data management, analytics development, and technology integration for enterprise-wide big data analytics.

  ---
  ID: 3525
  Draft: ISO/IEC 25059:2023: Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality model for AI systems
  Idea: AI Systems Quality Model
  Description: Extends SQuaRE quality standards with AI-specific characteristics and sub-characteristics for consistent specification, measurement, and evaluation of AI system quality.

  ---
  ID: 3526
  Draft: ISO/IEC 30147:2021: Information technology — Internet of things — Methodology for trustworthiness of IoT system/service
  Idea: IoT Trustworthiness Methodology
  Description: A systematic methodology for evaluating and assessing the trustworthiness of IoT systems and services across their lifecycle.

  ---
  ID: 3527
  Draft: ISO/IEC 30184:2024: Internet of Things (IoT) — Autonomous IoT object identification in connected home — Requirements and framework
  Idea: Autonomous IoT Object Identification Framework
  Description: A framework and architecture enabling IoT devices in connected homes to autonomously identify themselves without external assignment.

  ---
  ID: 3528
  Draft: ISO/IEC 38507:2022: Information technology — Governance of IT — Governance implications of the use of AI
  Idea: AI Governance Implications Framework
  Description: Guidance for organizational governing bodies on the governance and oversight implications of deploying AI systems.

  ---
  ID: 3529
  Draft: ISO/IEC 42001:2023: Information technology — Artificial intelligence — Management system
  Idea: AI Management System
  Description: Requirements and processes for establishing and continuously improving an organizational management system that oversees AI development and deployment.

  ---
  ID: 3530
  Draft: ISO/IEC 42005:2025: Information technology — AI — AI system impact assessment
  Idea: AI System Impact Assessment Methodology
  Description: A methodology for systematically evaluating both positive and negative impacts of AI systems across technical, social, and organizational dimensions.

  ---
  ID: 3531
  Draft: ISO/IEC 42006:2025: Information technology — Artificial intelligence — Requirements for bodies providing audit and certification of artificial intelligence management systems
  Idea: Third-party AIMS audit and certification requirements
  Description: Establishes competence, consistency, and reliability requirements for conformity assessment bodies auditing and certifying AI management systems per ISO/IEC 42001.

  ---
  ID: 3532
  Draft: ISO/IEC 5259-1:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
  Idea: Data quality conceptual framework for ML/analytics
  Description: Provides unified terminology, conceptual foundation, and use cases for understanding data quality across the ISO/IEC 5259 series.

  ---
  ID: 3533
  Draft: ISO/IEC 5259-2:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
  Idea: Data quality measurement model
  Description: Specifies quantifiable data quality measures and reporting guidance applicable to analytics and machine learning contexts.

  ---
  ID: 3534
  Draft: ISO/IEC 5259-3:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
  Idea: Data quality management system requirements
  Description: Defines generic requirements and guidance for establishing and continuously improving data quality processes tailored to organizational contexts.

  ---
  ID: 3535
  Draft: ISO/IEC 5259-4:2024: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
  Idea: Data quality process framework for ML training and evaluation
  Description: Establishes organizational approaches and processes for ensuring data quality in supervised ML training data labelling and evaluation workflows.

  ---
  ID: 3536
  Draft: ISO/IEC 5259-5:2025: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance framework
  Idea: Data Quality Governance Framework
  Description: A governance framework that enables organizations to direct and oversee data quality measures, management, and controls throughout the ML/analytics data life cycle.

  ---
  ID: 3537
  Draft: ISO/IEC 5259-5:2025: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance framework
  Idea: Data Quality Control Throughout DLC
  Description: Mechanisms for implementing adequate controls over data quality measures across all stages of the data life cycle model.

  ---
  ID: 3538
  Draft: ISO/IEC 5338:2023: Information technology — AI system life cycle processes
  Idea: AI System Life Cycle Processes
  Description: Defined processes and activities for the development and operation of AI systems across their complete life cycle.

  ---
  ID: 3539
  Draft: ISO/IEC 5339:2024: Information technology — AI — Guidance for AI applications
  Idea: AI Application Guidance Framework
  Description: Guidance methodology for applying AI within organizations including use case analysis and risk assessment patterns.

  ---
  ID: 3540
  Draft: ISO/IEC 5392:2024: Information technology — Artificial intelligence — Reference architecture of knowledge engineering
  Idea: Knowledge Engineering Reference Architecture
  Description: A reference architecture defining KE roles, activities, constructional layers, components, and their systemic relationships in AI systems.

  ---
  ID: 3541
  Draft: ISO/IEC 5392:2024: Information technology — Artificial intelligence — Reference architecture of knowledge engineering
  Idea: Knowledge Engineering Vocabulary Standard
  Description: A standardized common vocabulary defining key knowledge engineering terms and concepts.

  ---
  ID: 3542
  Draft: ISO/IEC 8183:2023: Information technology — Artificial intelligence — Data life cycle framework
  Idea: Data Life Cycle Framework for AI
  Description: A framework defining stages and associated actions for data processing throughout AI systems from acquisition through decommissioning.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3523": 3, "3524": 2, "3525": 3, "3526": 2, "3527": 4, "3528": 2, "3529": 2, "3530": 3, "3531": 1, "3532": 2, "3533": 2, "3534": 2, "3535": 3, "3536": 2, "3537": 2, "3538": 2, "3539": 2, "3540": 3, "3541": 1, "3542": 2}


draft_name: _novelty_score_
prompt_hash: 587947de4ca96f11
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:23.166605+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3543
  Draft: ISO/IEC AWI 23888-4: Artificial intelligence for multimedia — Part 4: Feature coding for machines
  Idea: Feature bitstream compression format
  Description: A standardized bitstream format and decoding process for compressing video features optimized for machine task performance and computational efficiency.

  ---
  ID: 3544
  Draft: ISO/IEC AWI 23888-5: Information technology — Artificial intelligence for multimedia — Part 5: AI-based dynamic point cloud compression
  Idea: Point cloud bitstream syntax and reconstruction
  Description: Standardized bitstream syntax, semantics, and decoding procedures for encoding and reconstructing AI-processed point clouds.

  ---
  ID: 3545
  Draft: ISO/IEC AWI 25058: Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Measurement and guidance for quality evaluation of AI systems
  Idea: AI system quality measurement framework
  Description: Measurement methods and guidance for evaluating AI system quality using defined quality models and quality measures.

  ---
  ID: 3546
  Draft: ISO/IEC AWI 25505: Information technology — Telecommunications and information exchange between systems — Charging communication interface protocols for autonomous moving achines
  Idea: Wireless charging communication protocol for autonomous machines
  Description: A communication protocol architecture operating above MAC layer enabling energy transfer coordination, device authentication, session continuity, and network handover for autonomous moving machines across heterogeneous wireless networks.

  ---
  ID: 3547
  Draft: ISO/IEC AWI 25589: Information technology — Artificial intelligence — Framework for human-machine teaming
  Idea: Human-Machine Teaming Framework
  Description: A conceptual and technical framework defining relationships, integration patterns, and design principles for collaborative problem-solving between humans and AI systems.

  ---
  ID: 3548
  Draft: ISO/IEC AWI 25589: Information technology — Artificial intelligence — Framework for human-machine teaming
  Idea: Technical Characteristics of Human-Machine Teaming
  Description: A set of measurable properties and attributes that characterize effective human-machine teaming systems.

  ---
  ID: 3549
  Draft: ISO/IEC AWI 25590: Information technology — Artificial intelligence — Guidance for output data quality of generative AI applications
  Idea: Generative AI Output Data Quality Assessment
  Description: A measurement framework and contextual considerations for evaluating the quality of outputs produced by generative AI applications across stakeholder perspectives.

  ---
  ID: 3550
  Draft: ISO/IEC AWI 25623: Artificial intelligence — Machine learning (ML) model description framework
  Idea: ML Model Description Framework
  Description: A standardized documentation and description framework for machine learning models to enable consistent management and lifecycle tracking across development, provision, and use phases.

  ---
  ID: 3551
  Draft: ISO/IEC AWI 25704: Artificial Intelligence — Process assessment model for AI system life cycle processes
  Idea: AI System Lifecycle Process Assessment Model
  Description: A capability assessment model with performance indicators for evaluating process maturity during AI system development and deployment based on ISO/IEC standards.

  ---
  ID: 3552
  Draft: ISO/IEC AWI 25870: Artificial intelligence — Reporting for AI incidents
  Idea: AI Incident Reporting Framework
  Description: A standardized data element schema and reporting structure for documenting and communicating AI system incidents across organizations.

  ---
  ID: 3553
  Draft: ISO/IEC AWI 25872-1: Artificial intelligence — Knowledge enhancement for pretrained machine learning models — Part 1: Framework
  Idea: Knowledge Enhancement Framework for Pretrained Models
  Description: A systematic framework and methodology for enhancing the knowledge of already-trained machine learning models without full retraining.

  ---
  ID: 3554
  Draft: ISO/IEC AWI 26090-1: Information technology — City Knowledge trustworthiness evaluation — Part 1: Overview and concepts
  Idea: City Knowledge Trustworthiness Evaluation Methodology
  Description: A methodology for evaluating and measuring the trustworthiness of knowledge used in smart city systems, including concepts, characteristics, and assessment approaches.

  ---
  ID: 3555
  Draft: ISO/IEC AWI 26160: Information security, cybersecurity and privacy protection — Enhancing the ISO/IEC 15408 series and ISO/IEC 18045 for the Evaluation of Artificial Intelligence (AI) Functionality
  Idea: AI-Specific Security Functional Requirements Extension
  Description: An extended security functional requirement class for AI systems that contextualizes ISO/IEC 15408 security standards for AI functionality evaluation.

  ---
  ID: 3556
  Draft: ISO/IEC AWI 26160: Information security, cybersecurity and privacy protection — Enhancing the ISO/IEC 15408 series and ISO/IEC 18045 for the Evaluation of Artificial Intelligence (AI) Functionality
  Idea: AI-Specific Common Criteria Application Notes
  Description: Specialized application notes mapping Common Criteria security assurance and evaluation requirements to AI-specific contexts and threat models.

  ---
  ID: 3557
  Draft: ISO/IEC AWI 31310-1: Information Technology — Trustworthiness ontology — Part 1: Framework
  Idea: IT Trustworthiness Ontology Framework
  Description: A formal ontological framework that defines and structures the general concept of trustworthiness as it applies to information technology systems.

  ---
  ID: 3558
  Draft: ISO/IEC AWI 42003: Information technology — Artificial intelligence — Guidance on the implementation of ISO/IEC 42001
  Idea: ISO/IEC 42001 Implementation Guidance
  Description: Practical implementation guidance for AI management systems standards including competency requirements for AIMS professionals and organizational adoption patterns.

  ---
  ID: 3559
  Draft: ISO/IEC AWI TR 25523: Information technology — Artificial intelligence — Overview of data profiles for analytics and ML
  Idea: Data Profiles for Analytics and ML
  Description: A standardized overview and framework for characterizing data profiles used in analytics and machine learning systems.

  ---
  ID: 3560
  Draft: ISO/IEC AWI TS 25223: Information technology — Artificial intelligence — Guidance and requirements for uncertainty quantification in AI systems
  Idea: Uncertainty Quantification Methods for AI Systems
  Description: Standardized guidance and requirements for developing and applying uncertainty quantification methods across all stages of the AI system lifecycle.

  ---
  ID: 3561
  Draft: ISO/IEC AWI TS 25258: Information technology — Artificial intelligence — Hybrid AI inference framework for AI systems
  Idea: Hybrid AI Inference Framework
  Description: A framework enabling AI systems to perform multi-task inference during deployment by combining multiple inference approaches.

  ---
  ID: 3562
  Draft: ISO/IEC AWI TS 25566: Terminology and concepts for domain engineering of AI systems
  Idea: Domain Engineering Terminology and Concepts for AI
  Description: A standardized set of terminology and conceptual definitions for domain engineering practices specific to AI systems development.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3543": 3, "3544": 3, "3545": 2, "3546": 4, "3547": 3, "3548": 2, "3549": 3, "3550": 2, "3551": 2, "3552": 3, "3553": 4, "3554": 4, "3555": 3, "3556": 3, "3557": 3, "3558": 1, "3559": 2, "3560": 3, "3561": 4, "3562": 2}


draft_name: _novelty_score_
prompt_hash: c9a1cc1974898b46
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:26.988395+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3563
  Draft: ISO/IEC AWI TS 25568: Information technology — Artificial Intelligence — Guidance on addressing risks in generative AI systems
  Idea: Generative AI Risk Framework
  Description: Systematic approach to identify risk sources and stakeholders affected throughout the generative AI system lifecycle.

  ---
  ID: 3564
  Draft: ISO/IEC AWI TS 25568: Information technology — Artificial Intelligence — Guidance on addressing risks in generative AI systems
  Idea: Generative AI Risk Treatment and Controls
  Description: Guidance methodology for analyzing, treating, and controlling identified risks specific to generative AI systems.

  ---
  ID: 3565
  Draft: ISO/IEC AWI TS 25569: Artificial Intelligence — Implementation guidance on de-identification of data used in Machine Learning (ML)
  Idea: ML Data De-identification Methods
  Description: Implementation guidance on de-identification techniques applicable during machine learning model development.

  ---
  ID: 3566
  Draft: ISO/IEC AWI TS 25570: Information Technology — Artificial Intelligence — Reliability assessment of AI systems
  Idea: AI System Reliability Assessment Framework
  Description: Statistical methods and metrics framework for assessing and measuring the reliability of AI systems.

  ---
  ID: 3567
  Draft: ISO/IEC AWI TS 25571: Artificial Intelligence — Example template for documenting ethical issues of an AI system
  Idea: AI Ethical Issues Documentation Template
  Description: Structured template and instructions for stakeholders to systematically document ethical issues across all stages of AI system lifecycle.

  ---
  ID: 3568
  Draft: ISO/IEC AWI TS 25864: Information technology — Artificial Intelligence (AI) — Resilience assessment of AI systems
  Idea: AI System Resilience Assessment Framework
  Description: Comprehensive framework with guidelines, methodologies, and quantifiable metrics to evaluate AI system resilience.

  ---
  ID: 3569
  Draft: ISO/IEC AWI TS 42111: Information technology — Artificial intelligence — Guidance on lightweight AI systems
  Idea: Lightweight AI System Development Guidance
  Description: Framework and best practices for designing and deploying AI systems optimized for resource-constrained environments.

  ---
  ID: 3570
  Draft: ISO/IEC AWI TS 42119-7: Artificial intelligence — Testing of AI — Part 7: Red teaming
  Idea: AI Red Teaming Methodology
  Description: Technology-agnostic procedures for planning, executing, and reporting red teaming assessments integrated into AI system lifecycles with standardized risk identification and attack vector analysis.

  ---
  ID: 3571
  Draft: ISO/IEC AWI TS 42119-8: Artificial intelligence — Testing of AI — Part 8: Quality assessment of prompt-based text-to-text systems that utilize generative AI
  Idea: Quality Assessment Framework for Generative Text-to-Text Systems
  Description: Comprehensive evaluation methodology for prompt-based generative AI systems combining red teaming, safety assessment, and quality metrics with result interpretation guidance.

  ---
  ID: 3572
  Draft: ISO/IEC CD 11034.2: Information technology — Cloud computing — Trustworthiness in cloud computing
  Idea: Cloud Computing Trustworthiness Framework
  Description: Conceptual framework and assessment approach for evaluating and establishing trustworthiness characteristics in cloud computing environments.

  ---
  ID: 3573
  Draft: ISO/IEC CD 23282: Artificial Intelligence — Evaluation methods for accurate natural language processing systems
  Idea: NLP System Evaluation Methodology
  Description: Standardized approach for selecting, implementing, and interpreting both quantitative metrics and qualitative evaluation methods to assess functional suitability of natural language processing systems.

  ---
  ID: 3574
  Draft: ISO/IEC CD 25029: Artificial intelligence — AI-enhanced nudging
  Idea: AI-Enhanced Nudging Design Framework
  Description: A comprehensive framework for designing responsible AI-enhanced nudging mechanisms that integrate ethical guidelines, horizontal processes, and key performance indicators.

  ---
  ID: 3575
  Draft: ISO/IEC CD 25029: Artificial intelligence — AI-enhanced nudging
  Idea: AI Nudging Requirements and Guidelines
  Description: Standardized requirements and guidelines for organizations implementing AI-enhanced nudging to ensure alignment with existing AI governance standards.

  ---
  ID: 3576
  Draft: ISO/IEC CD 30147: Information technology — Internet of Things (IoT) - Integration of IoT trustworthiness activities in ISO/IEC/IEEE 15288 system engineering processes
  Idea: IoT Trustworthiness Integration into System Engineering
  Description: A protocol for embedding trustworthiness assessment and assurance activities into the ISO/IEC/IEEE 15288 system engineering lifecycle for IoT systems.

  ---
  ID: 3577
  Draft: ISO/IEC CD 31303.2: Information technology — Trustworthiness — Overview and concepts
  Idea: IT Trustworthiness Conceptual Model
  Description: A comprehensive overview and formal definition of trustworthiness concepts and their applicability to information technology systems.

  ---
  ID: 3578
  Draft: ISO/IEC CD 42007: Information technology — Artificial intelligence — High-level framework and guidance for the development of conformity assessment schemes for AI systems
  Idea: AI Conformity Assessment Scheme Framework
  Description: A high-level framework and operational guidance for developing and operating certification and conformity assessment schemes for AI systems.

  ---
  ID: 3579
  Draft: ISO/IEC CD 42102: Information technology — Artificial intelligence — Framework for characterizing AI system methods and capabilities
  Idea: AI System Characterization Descriptor Framework
  Description: A standardized framework of descriptors enabling consistent characterization and documentation of AI system methods and capabilities across all lifecycle stages.

  ---
  ID: 3580
  Draft: ISO/IEC CD 4213: Artificial intelligence — Performance measurement for AI classification, regression, clustering and recommendation tasks
  Idea: Unified AI Performance Measurement Methodology
  Description: Standardized methodologies for measuring and comparing performance metrics across classification, regression, clustering, and recommendation AI tasks.

  ---
  ID: 3581
  Draft: ISO/IEC CD TR 23281: Artificial intelligence — Overview of AI tasks and functionalities related to natural language processing
  Idea: NLP Task Taxonomy and Pipeline Architecture
  Description: A comprehensive landscaping framework that maps AI tasks for natural language analysis and generation, their interactions within processing pipelines, and language-diversity considerations across linguistic variants.

  ---
  ID: 3582
  Draft: ISO/IEC CD TR 42103: Information technology — Artificial intelligence — Overview of synthetic data in the context of AI systems
  Idea: Synthetic Data Conceptual Framework for AI Systems
  Description: A structured overview defining synthetic data concepts, generation methods, application use cases, and evaluation considerations specific to AI system development and validation.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3563": 2,
    "3564": 2,
    "3565": 3,
    "3566": 3,
    "3567": 3,
    "3568": 3,
    "3569": 4,
    "3570": 4,
    "3571": 4,
    "3572": 2,
    "3573": 3,
    "3574": 4,
    "3575": 2,
    "3576": 4,
    "3577": 2,
    "3578": 3,
    "3579": 3,
    "3580": 3,
    "3581": 3,
    "3582": 3
  }


draft_name: _novelty_score_
prompt_hash: 609ebbdb2c787eb4
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:31.122015+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3583
  Draft: ISO/IEC CD TR 42109: Information technology — Artificial intelligence — Use cases of human-machine teaming
  Idea: Human-Machine Teaming Use Case Catalog
  Description: A collection of documented use cases and interaction patterns for systems where humans and AI agents collaborate in shared decision-making and task execution.

  ---
  ID: 3584
  Draft: ISO/IEC CD TS 22440-1: Artificial intelligence — Functional safety and AI systems — Part 1: Requirements
  Idea: Functional Safety Requirements for AI Systems
  Description: Establishes safety requirements and assurance criteria for AI systems operating in safety-critical contexts where failures could cause harm.

  ---
  ID: 3585
  Draft: ISO/IEC CD TS 22440-1: Artificial intelligence — Functional safety and AI systems — Part 1: Requirements
  Idea: AI-Specific Safety Integrity Levels
  Description: Defines safety integrity level classification adapted to the unique failure modes and non-deterministic behavior of AI components.

  ---
  ID: 3586
  Draft: ISO/IEC CD TS 22440-2: Artificial intelligence — Functional safety and AI systems — Part 2: Guidance
  Idea: Functional Safety Implementation Guidance for AI
  Description: Provides implementation strategies and best practices for achieving functional safety compliance in AI systems throughout their lifecycle.

  ---
  ID: 3587
  Draft: ISO/IEC CD TS 22443: Information technology — Artificial intelligence — Guidance on addressing societal concerns and ethical considerations
  Idea: AI System Ethical Impact Assessment Framework
  Description: Defines a structured methodology for identifying, evaluating, and addressing societal harms and ethical concerns during AI system development and deployment.

  ---
  ID: 3588
  Draft: ISO/IEC CD TS 22443: Information technology — Artificial intelligence — Guidance on addressing societal concerns and ethical considerations
  Idea: AI Governance Integration with Management Systems
  Description: Extends organizational management systems to embed governance controls for ethical AI development and responsible deployment practices.

  ---
  ID: 3589
  Draft: ISO/IEC DIS 23888-2: Information technology — Artificial intelligence for multimedia — Part 2: Video coding for machines
  Idea: Machine-Optimized Video Codec
  Description: Defines video encoding, bitstream syntax, and decoding procedures specifically optimized for machine vision tasks rather than human perception.

  ---
  ID: 3590
  Draft: ISO/IEC DIS 24029-3: Artificial intelligence (AI) — Assessment of the robustness of neural networks — Part 3: Methodology for the use of statistical methods
  Idea: Statistical Methods Methodology for Neural Network Robustness
  Description: Systematic methodology for selecting, applying, and managing statistical methods to assess and measure robustness properties of neural networks.

  ---
  ID: 3591
  Draft: ISO/IEC DIS 24970: Artificial intelligence — AI system logging
  Idea: AI System Event Logging Framework
  Description: Information model and common capabilities for standardized logging of events in AI systems designed to integrate with risk management systems.

  ---
  ID: 3592
  Draft: ISO/IEC DIS 25059: Software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Quality models for AI systems
  Idea: Quality Characteristics Model for AI Systems
  Description: Comprehensive quality model extending SQuaRE standards with AI-specific characteristics and sub-characteristics for specifying, measuring, and evaluating AI system quality.

  ---
  ID: 3593
  Draft: ISO/IEC DIS 27090: Cybersecurity — Artificial Intelligence — Guidance for addressing security threats and compromises to artificial intelligence systems
  Idea: AI-Specific Security Threat Detection and Mitigation Guidance
  Description: Guidance for identifying, detecting, and mitigating security threats and compromises specific to AI systems throughout their lifecycle.

  ---
  ID: 3594
  Draft: ISO/IEC DIS 27091: Cybersecurity and Privacy — Artificial Intelligence — Privacy protection
  Idea: Privacy Risk Management for AI Systems
  Description: Framework for identifying privacy risks throughout the AI system lifecycle and establishing mechanisms to evaluate and treat such risks.

  ---
  ID: 3595
  Draft: ISO/IEC DIS 30754: Information technology — Software trustworthiness — Governance and management — Specification
  Idea: Software Trustworthiness Governance Framework
  Description: A specification for establishing governance and management practices that ensure software systems meet trustworthiness requirements across their lifecycle.

  ---
  ID: 3596
  Draft: ISO/IEC DIS 42105: Information technology — Artificial intelligence — Guidance for human oversight of AI systems
  Idea: Human Oversight Protocol for AI Systems
  Description: A framework defining human control and monitoring mechanisms applicable throughout the AI system lifecycle to ensure human oversight of autonomous and semi-autonomous AI operations.

  ---
  ID: 3597
  Draft: ISO/IEC DTR 23888-3.2: Information technology — Artificial intelligence for multimedia — Part 3: Optimization of encoders and receiving systems for machine analysis of coded video content
  Idea: Encoder Optimization for Machine Analysis of Video
  Description: Techniques for optimizing video encoders and receiving systems to improve the efficiency and accuracy of machine analysis on coded video content.

  ---
  ID: 3598
  Draft: ISO/IEC DTS 42112: Information technology — Artificial intelligence — Guidance on machine learning model training efficiency optimization
  Idea: ML Model Training Efficiency Characteristics and Optimization
  Description: A taxonomy of characteristics impacting machine learning model training efficiency and a set of corresponding optimization approaches for AI providers and producers.

  ---
  ID: 3599
  Draft: ISO/IEC DTS 42119-3.2: Artificial intelligence — Testing of AI — Part 3: Verification and validation analysis of AI systems
  Idea: Verification and Validation Framework for AI Systems
  Description: A comprehensive process framework for V&V of AI systems across lifecycle stages, integrating formal methods, simulation, and evaluation approaches.

  ---
  ID: 3600
  Draft: ISO/IEC DTS 42119-3.2: Artificial intelligence — Testing of AI — Part 3: Verification and validation analysis of AI systems
  Idea: AI System Component Interaction Analysis
  Description: Methodology for analyzing and validating interactions between AI and non-AI components within integrated systems.

  ---
  ID: 3601
  Draft: ISO/IEC/IEEE NP 29119-16: Software and systems engineering — Software testing — Part 16: Testing of Machine Learning systems
  Idea: Risk-Based ML Testing Framework
  Description: A risk-driven testing methodology that identifies generic ML system risks and prescribes corresponding test approaches, levels, and techniques.

  ---
  ID: 3602
  Draft: ISO/IEC/IEEE NP 29119-16: Software and systems engineering — Software testing — Part 16: Testing of Machine Learning systems
  Idea: ML-Specific Test Design and Measurement
  Description: Adaptation of ISO/IEC/IEEE 29119 testing practices with additional detail and measures specifically tailored for machine learning software and systems.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3583": 2,
    "3584": 2,
    "3585": 4,
    "3586": 2,
    "3587": 3,
    "3588": 3,
    "3589": 4,
    "3590": 3,
    "3591": 2,
    "3592": 3,
    "3593": 2,
    "3594": 2,
    "3595": 2,
    "3596": 3,
    "3597": 3,
    "3598": 3,
    "3599": 2,
    "3600": 3,
    "3601": 3,
    "3602": 3
  }


draft_name: _novelty_score_
prompt_hash: 81cc8f10981034bd
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:33.579273+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3603
  Draft: ISO/IEC NP 25880: Requirements and Guidance for the organizational implementation of human-machine teaming
  Idea: Human-Machine Teaming Implementation Requirements
  Description: Organizational requirements and guidance for operationalizing human-machine teaming in AI system deployment across user groups.

  ---
  ID: 3604
  Draft: ISO/IEC NP 26582: Artificial intelligence — Conformity assessment for the functional correctness of an AI system
  Idea: Functional Correctness Conformity Assessment for AI
  Description: A conformity assessment framework that evaluates whether AI systems meet functional correctness requirements based on quality models from ISO/IEC 25059.

  ---
  ID: 3605
  Draft: ISO/IEC NP TS 26312: Information technology — Artificial intelligence — Identification and treatment of bias in AI by healthcare organizations
  Idea: Bias Identification and Treatment Lifecycle
  Description: A comprehensive process for identifying and addressing multiple types of bias (algorithmic, data representation, labelling, deployment-related) in AI systems throughout procurement, implementation, and monitoring stages in healthcare.

  ---
  ID: 3606
  Draft: ISO/IEC NP TS 26320.2: Artificial intelligence — Corpus development and maintenance for natural language processing systems
  Idea: NLP Corpus Development and Maintenance Framework
  Description: A framework establishing principles, construction requirements, application guidelines, and quality evaluation measures for corpora used in natural language processing systems.

  ---
  ID: 3607
  Draft: ISO/IEC NP TS 42110: Information technology — Artificial intelligence — AI inference framework for AI systems
  Idea: AI Inference Framework Architecture
  Description: A comprehensive framework defining inference concepts, modelling components, processes, and performance metrics for generalized AI system inference operations.

  ---
  ID: 3608
  Draft: ISO/IEC PWI 18966: Artificial intelligence — Oversight of AI systems
  Idea: AI System Oversight Framework
  Description: A standardized framework for monitoring, auditing, and controlling AI systems throughout their lifecycle to ensure compliance and safe operation.

  ---
  ID: 3609
  Draft: ISO/IEC PWI 20822: Information technology — Domain knowledge trustworthiness evaluation for smart cities
  Idea: Domain Knowledge Trustworthiness Evaluation
  Description: A methodology for assessing and certifying the reliability and validity of domain-specific knowledge used in smart city systems.

  ---
  ID: 3610
  Draft: ISO/IEC PWI 26200: Standard Framework for Evaluation, Ethical Use, and Interoperability of Large Language Models (LLMs) in AI Systems
  Idea: LLM Evaluation and Testing Framework
  Description: Standardized testing methodologies and performance assessment criteria for evaluating large language models across safety, bias, and capability dimensions.

  ---
  ID: 3611
  Draft: ISO/IEC PWI 26200: Standard Framework for Evaluation, Ethical Use, and Interoperability of Large Language Models (LLMs) in AI Systems
  Idea: LLM Interoperability Protocol
  Description: A standard interface and integration protocol enabling large language models to be safely deployed and interoperate across diverse domain applications including healthcare, finance, and education.

  ---
  ID: 3612
  Draft: ISO/IEC PWI 26200: Standard Framework for Evaluation, Ethical Use, and Interoperability of Large Language Models (LLMs) in AI Systems
  Idea: Ethical Governance and Risk Management for LLMs
  Description: A comprehensive governance framework defining bias mitigation strategies, security considerations, and responsible deployment practices for large language models.

  ---
  ID: 3613
  Draft: ISO/IEC PWI 5096: Artificial Intelligence enabled networking
  Idea: AI-Enabled Network Architecture
  Description: A standardized architecture for integrating artificial intelligence capabilities into networking systems to enable intelligent decision-making and optimization.

  ---
  ID: 3614
  Draft: ISO/IEC PWI 5957: Trustworthiness — Reference architecture
  Idea: Trustworthiness Reference Architecture
  Description: A reference architectural framework defining the structural and operational components necessary to establish trustworthiness across systems and components.

  ---
  ID: 3615
  Draft: ISO/IEC PWI 7699: Guidance for addressing security threats and failures in artificial intelligence
  Idea: AI Security Threat & Failure Taxonomy
  Description: Systematic categorization and guidance framework for identifying, classifying, and addressing security threats and failure modes specific to AI systems.

  ---
  ID: 3616
  Draft: ISO/IEC PWI 9991: Information technology – Trustworthiness – Overview and concepts
  Idea: IT Trustworthiness Conceptual Framework
  Description: Foundational conceptual model and terminology for trustworthiness as a property of information technology systems.

  ---
  ID: 3617
  Draft: ISO/IEC TR 17903:2024: Information technology — Artificial intelligence — Overview of machine learning computing devices
  Idea: ML Computing Device Classification
  Description: Comprehensive survey and taxonomy of machine learning computing devices with standardized terminology and characteristic profiles.

  ---
  ID: 3618
  Draft: ISO/IEC TR 20226:2025: Information technology — Artificial intelligence — Environmental sustainability aspects of AI systems
  Idea: AI System Environmental Lifecycle Impact Assessment
  Description: Framework for evaluating and measuring environmental sustainability aspects of AI systems across their full lifecycle including resource utilization, carbon impact, and waste.

  ---
  ID: 3619
  Draft: ISO/IEC TR 20547-1:2020: Information technology — Big data reference architecture — Part 1: Framework and application process
  Idea: Big Data Reference Architecture Framework
  Description: Generic reference architecture model for big data systems with standardized framework and application methodology for domain-specific instantiation.

  ---
  ID: 3620
  Draft: ISO/IEC TR 20547-2:2018: Information technology — Big data reference architecture — Part 2: Use cases and derived requirements
  Idea: Big Data Use Case Taxonomy
  Description: Systematic collection and categorization of big data application domains with derived technical requirements and considerations.

  ---
  ID: 3621
  Draft: ISO/IEC TR 20547-2:2018: Information technology — Big data reference architecture — Part 2: Use cases and derived requirements
  Idea: Use Case-Driven Requirements Extraction
  Description: Methodology for identifying technical requirements from real-world big data use cases across multiple domains.

  ---
  ID: 3622
  Draft: ISO/IEC TR 20547-5:2018: Information technology — Big data reference architecture — Part 5: Standards roadmap
  Idea: Big Data Standards Roadmap
  Description: Comprehensive inventory of existing and in-development big data standards with gap analysis and prioritization for future standardization efforts.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3603": 3, "3604": 2, "3605": 4, "3606": 3, "3607": 2, "3608": 2, "3609": 4, "3610": 3, "3611": 4, "3612": 3, "3613": 3, "3614": 3, "3615": 3, "3616": 2, "3617": 2, "3618": 4, "3619": 2, "3620": 2, "3621": 3, "3622": 2}


draft_name: _novelty_score_
prompt_hash: 056a434c369cfc5d
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:36.594252+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3623
  Draft: ISO/IEC TR 21221:2025: Information technology — Artificial intelligence — Beneficial AI systems
  Idea: Beneficial AI Framework
  Description: Multi-dimensional framework for defining and delivering functional, economic, environmental, social, and personal benefits from AI systems as perceived by stakeholders.

  ---
  ID: 3624
  Draft: ISO/IEC TR 24027:2021: Information technology — Artificial intelligence (AI) — Bias in AI systems and AI aided decision making
  Idea: AI Bias Assessment Lifecycle
  Description: Comprehensive methodology for measuring, identifying, and treating bias-related vulnerabilities across all phases of AI system development and deployment.

  ---
  ID: 3625
  Draft: ISO/IEC TR 24028:2020: Overview of trustworthiness in artificial intelligence
  Idea: AI Trustworthiness Framework
  Description: Overview of risks, challenges, and approaches for establishing trustworthiness in artificial intelligence systems.

  ---
  ID: 3626
  Draft: ISO/IEC TR 24029-1:2021: Assessment of the robustness of neural networks — Part 1: Overview
  Idea: Neural Network Robustness Assessment Framework
  Description: A systematic approach for evaluating and measuring the robustness properties of neural networks against adversarial perturbations and distribution shifts.

  ---
  ID: 3627
  Draft: ISO/IEC TR 24368:2022: Information technology — Artificial intelligence — Overview of ethical and societal concerns
  Idea: AI Ethical and Societal Concerns Taxonomy
  Description: A structured overview of ethical and societal concerns arising from AI systems with associated principles, processes, and methods for addressing them.

  ---
  ID: 3628
  Draft: ISO/IEC TR 24368:2022: Information technology — Artificial intelligence — Overview of ethical and societal concerns
  Idea: Standards Mapping for AI Ethics Issues
  Description: A reference compilation linking identified ethical and societal concerns to relevant International Standards that address these issues.

  ---
  ID: 3629
  Draft: ISO/IEC TR 24372:2021: Information technology — Artificial intelligence (AI) — Overview of computational approaches for AI systems
  Idea: AI Computational Characteristics Classification
  Description: A taxonomy of main computational characteristics and algorithms used in AI systems, organized by their properties and use case applicability.

  ---
  ID: 3630
  Draft: ISO/IEC TR 27563:2023: Security and privacy in artificial intelligence use cases — Best practices
  Idea: AI Security and Privacy Assessment Framework
  Description: Systematic best practices for evaluating security and privacy risks specific to AI use cases and their threat models.

  ---
  ID: 3631
  Draft: ISO/IEC TR 42106: Information technology — Artificial intelligence (AI) — Overview of differentiated benchmarking of AI system quality characteristics
  Idea: Differentiated Benchmarking Methodology for AI Systems
  Description: Framework for context-specific evaluation of AI system quality characteristics using tailored benchmark approaches.

  ---
  ID: 3632
  Draft: ISO/IEC TR 5259-6: Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 6: Visualization framework for data quality
  Idea: Data Quality Visualization Framework
  Description: Standardized visual representation methods for communicating data quality characteristics in ML and analytics pipelines.

  ---
  ID: 3633
  Draft: ISO/IEC TR 5469:2024: Artificial intelligence — Functional safety and AI systems
  Idea: AI Functional Safety Integration Methods
  Description: Processes and risk assessment methods for incorporating AI systems within safety-critical functional requirements.

  ---
  ID: 3634
  Draft: ISO/IEC TS 12791:2024: Information technology — Artificial intelligence — Treatment of unwanted bias in classification and regression machine learning tasks
  Idea: Unwanted Bias Mitigation Lifecycle
  Description: Systematic techniques applicable across the AI system lifecycle to identify and mitigate unwanted bias in classification and regression tasks.

  ---
  ID: 3635
  Draft: ISO/IEC TS 23220-6:2025: Cards and security devices for personal identification — Building blocks for identity management via mobile devices — Part 6: Mechanism for use of certification on trustworthiness of secure area
  Idea: Secure Area Trustworthiness Certification Mechanism
  Description: A certification mechanism enabling secure area providers to document and communicate capabilities and confidence levels to eID issuers and attestation service providers for verification purposes.

  ---
  ID: 3636
  Draft: ISO/IEC TS 25058:2024: Systems and software engineering — Systems and software Quality Requirements and Evaluation (SQuaRE) — Guidance for quality evaluation of artificial intelligence (AI) systems
  Idea: AI System Quality Evaluation Model
  Description: A quality model and guidance framework for evaluating artificial intelligence systems across all development and operational contexts.

  ---
  ID: 3637
  Draft: ISO/IEC TS 30149:2024: Internet of Things (IoT) — Trustworthiness principles
  Idea: IoT Trustworthiness Principles Framework
  Description: A set of foundational principles for establishing trustworthiness in IoT systems based on the IoT Reference Architecture.

  ---
  ID: 3638
  Draft: ISO/IEC TS 42119-2:2025: Artificial intelligence — Testing of AI — Part 2: Overview of testing AI systems
  Idea: Risk-Based AI System Testing Framework
  Description: A risk-based testing methodology that adapts ISO/IEC/IEEE 29119 testing practices and techniques specifically for AI system development and maintenance.

  ---
  ID: 3639
  Draft: ISO/IEC TS 4213:2022: Information technology — Artificial intelligence — Assessment of machine learning classification performance
  Idea: Machine Learning Classification Performance Measurement Methodology
  Description: Standardized methodologies for measuring and evaluating classification performance of machine learning models, systems, and algorithms.

  ---
  ID: 3640
  Draft: ISO/IEC TS 5723:2022: Trustworthiness — Vocabulary
  Idea: Trustworthiness Definition Framework
  Description: A standardized definition and characteristic set for system trustworthiness that enables consistent evaluation across different domains and services.

  ---
  ID: 3641
  Draft: ISO/IEC TS 6254:2024: Objectives and approaches for explainability of ML models and AI systems
  Idea: ML/AI Explainability Objectives and Approaches
  Description: A systematic framework mapping stakeholder-specific explainability objectives to applicable technical approaches for achieving transparency in ML models and AI systems.

  ---
  ID: 3642
  Draft: ISO/IEC TS 6254:2025: Information technology — Artificial intelligence — Objectives and approaches for explainability and interpretability of machine learning (ML) models and artificial intelligence (AI) systems
  Idea: Lifecycle-Integrated Explainability Methods
  Description: Guidance on applying explainability and interpretability approaches across the entire AI system lifecycle to address diverse stakeholder objectives regarding system behavior and outputs.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3623": 2,
    "3624": 3,
    "3625": 2,
    "3626": 3,
    "3627": 2,
    "3628": 3,
    "3629": 2,
    "3630": 2,
    "3631": 4,
    "3632": 4,
    "3633": 3,
    "3634": 3,
    "3635": 3,
    "3636": 2,
    "3637": 2,
    "3638": 3,
    "3639": 2,
    "3640": 2,
    "3641": 3,
    "3642": 3
  }


draft_name: _novelty_score_
prompt_hash: b01fab5e31b912c3
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:39.211428+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3643
  Draft: ISO/IEC TS 8200:2024: Information technology — Artificial intelligence — Controllability of automated artificial intelligence systems
  Idea: AI System Controllability Framework
  Description: A foundational framework defining principles and characteristics for achieving state observability and controlled state transitions in automated AI systems.

  ---
  ID: 3644
  Draft: ISO/IEC WD TS 22440: Artificial intelligence — Functional safety and AI systems — Requirements
  Idea: AI Functional Safety Integration Requirements
  Description: Requirements and guidance for integrating AI technology into safety-critical functions, including risk assessment, verification methods, and security-safety interaction considerations.

  ---
  ID: 3645
  Draft: ISO/IEC WD TS 23220-6: Cards and security devices for personal identification — Building blocks for identity management via mobile devices — Part 6: Mechanism for use of certification on trustworthiness of secure area
  Idea: Certification mechanism for secure area trustworthiness
  Description: A mechanism for certifying and validating the trustworthiness of secure execution areas within mobile identity devices.

  ---
  ID: 3646
  Draft: ISO/NP 15801: Document management — Electronically stored information — Recommendations for trustworthiness and reliability
  Idea: Trustworthiness framework for electronically stored information systems
  Description: A comprehensive system design and operational framework ensuring long-term trustworthiness and reliability of electronically stored information across multiple formats through integrated policies, procedures, technology, and audit requirements.

  ---
  ID: 3647
  Draft: ISO/NP 20319: Profiles of control network residing on Ethernet for real-time communication/autonomous decentralized system
  Idea: Ethernet-based control network profiles for real-time autonomous decentralized systems
  Description: Protocol profiles defining Ethernet network specifications for real-time communication in autonomous decentralized control systems.

  ---
  ID: 3648
  Draft: ISO/NP 26604-1: Agricultural machinery and tractors — Safety of autonomous machinery — Part 1: Soil-Working Machinery
  Idea: Safety requirements for autonomous soil-working agricultural machinery
  Description: Safety design, construction, and verification requirements for autonomous operation of agricultural soil-working machinery including hazard assessment and manufacturer guidance.

  ---
  ID: 3649
  Draft: ISO/NP 26609: Dentistry — Requirements for Assessing 2D Dental Radiography Artificial Intelligence (AI) and Augmented Intelligence (AuI) Analysis Applications
  Idea: Assessment requirements for AI/AuI analysis of 2D dental radiography
  Description: Requirements framework for validating and assessing artificial intelligence and augmented intelligence systems applied to diagnostic analysis of 2D dental radiographic images.

  ---
  ID: 3650
  Draft: ISO/NP 4669-3: Document management — Information classification, marking and handling — Part 3: Trustworthiness of information received from third parties
  Idea: Third-party document trustworthiness assessment framework
  Description: Establishes systematic requirements and procedures for evaluating the trustworthiness of documents received from external sources.

  ---
  ID: 3651
  Draft: ISO/NP PAS 8800-2: Road vehicles — Safety and artificial intelligence — Part 2: General requirements
  Idea: AI safety risk assessment for vehicle E/E systems
  Description: Defines methods to address safety risks from AI elements in vehicle electrical/electronic systems including output insufficiencies, systematic errors, and hardware failures.

  ---
  ID: 3652
  Draft: ISO/NP PAS 8800-2: Road vehicles — Safety and artificial intelligence — Part 2: General requirements
  Idea: Cross-boundary AI safety impact analysis
  Description: Requires assessment of safety impacts from both on-vehicle AI systems and external AI elements that indirectly affect vehicle behavior.

  ---
  ID: 3653
  Draft: ISO/NP TS 18759: Document management — Trustworthy storage system (TSS) functional and technical requirements
  Idea: Trustworthy document storage system specification
  Description: Specifies functional and technical requirements for document storage systems that maintain trustworthiness and integrity.

  ---
  ID: 3654
  Draft: ISO/NP TS 25280-1: Information and documentation — Records management and Artificial Intelligence — Principles and Considerations — — Part 1: Part 1: Records management in artificial intelligence enabled environment
  Idea: Records management principles for AI-enabled environments
  Description: Establishes principles and considerations for managing both AI-generated and AI-associated records in organizational contexts.

  ---
  ID: 3655
  Draft: ISO/NP TS 25280-2: Information and documentation — Records management and Artificial Intelligence — Principles and Considerations — — Part 2: Part 2: Application of artificial intelligence capabilities for records management
  Idea: AI Capability Integration Framework for Records Management
  Description: A principled framework for applying AI technologies to records controls, processes, and systems across organizational records and archives management.

  ---
  ID: 3656
  Draft: ISO/NP TS 25280-2: Information and documentation — Records management and Artificial Intelligence — Principles and Considerations — — Part 2: Part 2: Application of artificial intelligence capabilities for records management
  Idea: AI Risk and Consideration Guidelines for Records Systems
  Description: A set of considerations for managing risks and side effects when deploying AI in records management and archives operations.

  ---
  ID: 3657
  Draft: ISO/PAS 8800:2024: Road vehicles — Safety and artificial intelligence
  Idea: AI Safety Assurance for Vehicle E/E Systems
  Description: A safety framework addressing undesired behavior in safety-critical vehicle systems caused by AI output insufficiencies, systematic errors, and hardware faults, including external AI interactions.

  ---
  ID: 3658
  Draft: ISO/PAS 8800:2024: Road vehicles — Safety and artificial intelligence
  Idea: AI-Related Safety Risk Classification for Vehicles
  Description: A taxonomy for identifying and classifying safety risks in vehicle electrical/electronic systems that incorporate AI technology.

  ---
  ID: 3659
  Draft: ISO/PWI 20531: Road vehicles — Test method to evaluate the performance of autonomous braking systems
  Idea: Autonomous Braking System Performance Test Protocol
  Description: A standardized test methodology for evaluating and validating the performance characteristics of autonomous braking systems in road vehicles.

  ---
  ID: 3660
  Draft: ISO/PWI 20554: Road vehicles — Test method to evaluate the performance of autonomous braking systems
  Idea: Autonomous Braking System Performance Test Protocol
  Description: A standardized test methodology for evaluating and validating the performance characteristics of autonomous braking systems in road vehicles.

  ---
  ID: 3661
  Draft: ISO/PWI 20800: Underwater acoustics — Calibration of autonomous acoustic receiver/recorder systems
  Idea: Autonomous underwater acoustic receiver calibration standard
  Description: Establishes standardized procedures for calibrating autonomous acoustic receiver and recorder systems operating in underwater environments.

  ---
  ID: 3662
  Draft: ISO/PWI 22133-1: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Part 1: Communication protocols and interfaces
  Idea: Unified communication protocol for vehicle test object monitoring
  Description: Defines standardized communication protocols and interfaces for monitoring and controlling test objects across active safety and autonomous vehicle testing.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3643": 3, "3644": 3, "3645": 2, "3646": 2, "3647": 2, "3648": 3, "3649": 3, "3650": 2, "3651": 3, "3652": 4, "3653": 2, "3654": 3, "3655": 3, "3656": 2, "3657": 3, "3658": 3, "3659": 2, "3660": 2, "3661": 2, "3662": 3}


draft_name: _novelty_score_
prompt_hash: 81f52e5f6e9c3a7f
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:41.778768+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3663
  Draft: ISO/PWI 22133-2: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Part 2: Test scenario description formats
  Idea: Test scenario description format specification
  Description: Establishes standardized formats for describing test scenarios used in active safety and autonomous vehicle validation.

  ---
  ID: 3664
  Draft: ISO/PWI 24986: Energy performance of building systems — Determination of energy performance of machine learning based optimal control strategy by field measuring methods
  Idea: Machine learning-based building energy optimization validation methodology
  Description: Provides methods for developing and validating machine learning energy prediction models and control algorithms in real building deployments.

  ---
  ID: 3665
  Draft: ISO/PWI 24986: Energy performance of building systems — Determination of energy performance of machine learning based optimal control strategy by field measuring methods
  Idea: Toolbox integration framework for ML energy control
  Description: Defines integration architecture for applying ML-based energy saving algorithms to actual building systems through standardized toolbox mechanisms.

  ---
  ID: 3666
  Draft: ISO/PWI 3510: Specification of interoperability of teleoperated, autonomous, and manned mining equipment
  Idea: Mining equipment interoperability specification
  Description: Specifies interoperability requirements for teleoperated, autonomous, and manned mining equipment to operate in shared mining environments.

  ---
  ID: 3667
  Draft: ISO/PWI TS 21947: Machine Learning Application to Surface Analysis Data. Part I: Mass Spectrum and Imaging
  Idea: Machine Learning Method Selection Framework for Mass Spectrometry
  Description: Guidelines for selecting appropriate machine learning methods (unsupervised, supervised, reinforcement learning) based on mass spectrometry analysis purposes.

  ---
  ID: 3668
  Draft: ISO/PWI TS 21947: Machine Learning Application to Surface Analysis Data. Part I: Mass Spectrum and Imaging
  Idea: Data Preparation Procedures for Mass Spectrometry ML
  Description: Standardized procedures for preparing mass spectrum and imaging data prior to machine learning application.

  ---
  ID: 3669
  Draft: ISO/TR 15801:2004: Electronic imaging — Information stored electronically — Recommendations for trustworthiness and reliability
  Idea: Electronic Document Lifecycle Management System
  Description: Framework for implementing trustworthy and reliable information management systems covering the complete lifecycle from capture to destruction of electronically stored documents.

  ---
  ID: 3670
  Draft: ISO/TR 15801:2004: Electronic imaging — Information stored electronically — Recommendations for trustworthiness and reliability
  Idea: Multi-Technology Electronic Storage Support
  Description: Approach to support multiple storage technologies including WORM and rewritable media within unified trustworthiness framework.

  ---
  ID: 3671
  Draft: ISO/TR 15801:2009: Document management — Information stored electronically — Recommendations for trustworthiness and reliability
  Idea: Document Management System Trustworthiness Requirements
  Description: Set of policies, procedures, technology and audit requirements to ensure integrity of electronically stored information is maintained over time.

  ---
  ID: 3672
  Draft: ISO/TR 15801:2017: Document management — Electronically stored information — Recommendations for trustworthiness and reliability
  Idea: Multi-Format Electronically Stored Information Trustworthiness
  Description: Framework for managing trustworthiness and reliability of diverse ESI types including page-based documents, databases, and audio/video information.

  ---
  ID: 3673
  Draft: ISO/TR 22100-5:2021: Safety of machinery — Relationship with ISO 12100 — Part 5: Implications of artificial intelligence machine learning
  Idea: AI/ML Hazard Integration in Machinery Risk Assessment
  Description: Process for incorporating artificial intelligence and machine learning hazards into the machinery safety risk assessment methodology.

  ---
  ID: 3674
  Draft: ISO/TR 22100-5:2021: Safety of machinery — Relationship with ISO 12100 — Part 5: Implications of artificial intelligence machine learning
  Idea: AI/ML Applicability Boundary for Machinery Safety
  Description: Specification that the framework applies only to AI/ML systems designed to act within specified limits, excluding systems with unpredictable effects.

  ---
  ID: 3675
  Draft: ISO/TR 24291:2021: Health informatics — Applications of machine learning technologies in imaging and other medical applications
  Idea: ML Application Categories in Clinical Medicine
  Description: Defines taxonomy of machine learning use cases in clinical practice across medical specialties including radiology, pathology, emergency medicine, and clinical settings such as detection, diagnosis, monitoring, and treatment prediction.

  ---
  ID: 3676
  Draft: ISO/TR 24291:2021: Health informatics — Applications of machine learning technologies in imaging and other medical applications
  Idea: Clinical AI Requirements and Necessities
  Description: Establishes requirements and necessities for artificial intelligence deployment in medical applications across different clinical contexts.

  ---
  ID: 3677
  Draft: ISO/TR 9241-810:2020: Ergonomics of human-system interaction — Part 810: Robotic, intelligent and autonomous systems
  Idea: RIA System Ergonomics Classification
  Description: Defines ergonomic interaction patterns for four categories of robotic, intelligent, and autonomous systems: physically embodied systems, environment-embedded systems, interactive software tools, and autonomous software agents.

  ---
  ID: 3678
  Draft: ISO/TS 12813:2009: Electronic fee collection — Compliance check communication for autonomous systems
  Idea: Compliance Check Communication Protocol for EFC
  Description: Specifies short-range communication protocol between vehicle on-board equipment and road-side interrogators to verify correct toll data reporting in autonomous electronic fee collection systems.

  ---
  ID: 3679
  Draft: ISO/TS 13141:2010: Electronic fee collection — Localisation augmentation communication for autonomous systems
  Idea: Localisation Augmentation Communication for EFC
  Description: Establishes short-range communication protocol between vehicle on-board equipment and fixed road-side equipment to provide location information and anti-spoofing security mechanisms for autonomous electronic fee collection systems.

  ---
  ID: 3680
  Draft: ISO/TS 17575-1:2010: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging
  Idea: Autonomous EFC Data Exchange Format
  Description: Defines standardized format and semantics for data exchange between on-board equipment and back-end systems in autonomous electronic fee collection, including charging details and vehicle road usage reporting.

  ---
  ID: 3681
  Draft: ISO/TS 17575-1:2010: Electronic fee collection — Application interface definition for autonomous systems — Part 1: Charging
  Idea: Toll Regime Configuration Data Elements
  Description: Specifies data elements for communicating toll regime rules (charging network, principles, liability) from back-end to front-end to enable dynamic reconfiguration of charge-relevant information gathering.

  ---
  ID: 3682
  Draft: ISO/TS 17575-2:2010: Electronic fee collection — Application interface definition for autonomous systems — Part 2: Communication and connection to the lower layers
  Idea: Abstract Communications API for EFC
  Description: Defines an abstract API semantics for conveying ISO/TS 17575-1 data elements over heterogeneous communication stacks and media (mobile and wired), decoupled from specific programming language implementations.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3663": 2, "3664": 3, "3665": 3, "3666": 2, "3667": 3, "3668": 2, "3669": 2, "3670": 2, "3671": 2, "3672": 2, "3673": 4, "3674": 3, "3675": 2, "3676": 2, "3677": 3, "3678": 2, "3679": 3, "3680": 2, "3681": 3, "3682": 2}


draft_name: _novelty_score_
prompt_hash: 7e7f6582c5c0b88c
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:45.048282+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3683
  Draft: ISO/TS 17575-3:2011: Electronic fee collection — Application interface definition for autonomous systems — Part 3: Context data
  Idea: Charged Geographic Objects and Context Data Model
  Description: Defines context data schema describing charging systems through charged geographical objects and charging/reporting rules, transmitted from toll charger to front-end to instruct data collection policies.

  ---
  ID: 3684
  Draft: ISO/TS 17575-4:2011: Electronic fee collection — Application interface definition for autonomous systems — Part 4: Roaming
  Idea: Multi-regime EFC roaming framework
  Description: Information exchange protocol enabling simultaneous operation of multiple electronic fee collection regimes with potentially overlapping domains and linked charge rules.

  ---
  ID: 3685
  Draft: ISO/TS 18759:2022: Document management — Trustworthy storage system (TSS) — Functional and technical requirements
  Idea: Lifecycle-based trustworthy storage system
  Description: Technology-neutral functional requirements for protecting electronically stored information through immutability, authenticity, and trustworthiness enforcement across its complete lifecycle.

  ---
  ID: 3686
  Draft: ISO/TS 22133:2023: Road vehicles — Test object monitoring and control for active safety and automated/autonomous vehicle testing — Functional requirements, specifications and communication protocol
  Idea: Interoperable test object control protocol
  Description: Communication protocol and control mechanism enabling a central facility to safely orchestrate active safety and autonomous vehicle testing with multi-vendor test objects.

  ---
  ID: 3687
  Draft: ISO/TS 42501:2022: Sharing economy — General trustworthiness and safety requirements for digital platforms
  Idea: Sharing economy platform trustworthiness requirements
  Description: General safety and trustworthiness requirements specification for digital platform operators participating in sharing economy systems.

  ---
  ID: 3688
  Draft: ITU-T FG-AI4H DEL01: AI for Health: Ethics and Governance
  Idea: AI Health Ethics and Governance Framework
  Description: Comprehensive governance structure addressing ethical principles, accountability mechanisms, and oversight requirements for AI applications in healthcare.

  ---
  ID: 3689
  Draft: ITU-T FG-AI4H DEL02: AI for Health: Data handling
  Idea: Health Data Handling Requirements
  Description: Specification of data collection, storage, processing, and sharing protocols for health data used in AI systems with privacy and security controls.

  ---
  ID: 3690
  Draft: ITU-T FG-AI4H DEL7.2: AI for Health: Clinical evaluation of AI
  Idea: Clinical AI Evaluation Methodology
  Description: Structured approach for validating and assessing the clinical performance, safety, and efficacy of AI-based health solutions.

  ---
  ID: 3691
  Draft: ITU-T X.1381: Framework for AI risk assessment in telecommunication networks
  Idea: AI Risk Assessment Framework for Telecom Networks
  Description: Systematic methodology for identifying, analyzing, and evaluating risks associated with AI deployment in telecommunication network infrastructure.

  ---
  ID: 3692
  Draft: ITU-T X.1382: Security requirements for AI-based solutions in telecommunication networks
  Idea: AI Security Requirements for Telecom
  Description: Defined security and safety requirements that AI-based solutions must meet when deployed in telecommunication network environments.

  ---
  ID: 3693
  Draft: ITU-T X.1383: Assessment criteria for trustworthiness of AI-based telecommunication services
  Idea: Trustworthiness Assessment Criteria for AI Telecom Services
  Description: A framework defining measurable assessment criteria to evaluate the trustworthiness of AI-based telecommunication services across multiple dimensions.

  ---
  ID: 3694
  Draft: ITU-T X.1384: Security threats and risk treatment measures for AI-based telecommunication systems
  Idea: AI Security Threat Classification and Risk Treatment
  Description: A taxonomy of security threats specific to AI-based telecommunication systems with corresponding risk treatment measures.

  ---
  ID: 3695
  Draft: ITU-T Y.3172: Architectural framework for machine learning in future networks including IMT-2020
  Idea: Machine Learning Architectural Framework for Future Networks
  Description: An architectural framework defining how machine learning components integrate into future telecommunication networks including IMT-2020.

  ---
  ID: 3696
  Draft: ITU-T Y.3173: Framework for evaluating intelligence levels of future networks including IMT-2020
  Idea: Intelligence Level Evaluation Framework for Networks
  Description: A framework for measuring and evaluating the intelligence capability levels of future networks including IMT-2020.

  ---
  ID: 3697
  Draft: ITU-T Y.3174: Framework for data handling to enable machine learning in future networks including IMT-2020
  Idea: Data Handling Framework for ML-Enabled Networks
  Description: A framework specifying data collection, management, and quality requirements to support machine learning in future networks.

  ---
  ID: 3698
  Draft: ITU-T Y.3176: Machine learning marketplace integration in future networks including IMT-2020
  Idea: ML Marketplace Integration Architecture
  Description: System architecture enabling machine learning models and services to be discovered, traded, and integrated within future networks including IMT-2020.

  ---
  ID: 3699
  Draft: ITU-T Y.3177: Architectural framework of AI-as-a-Service to enable AI services in future networks
  Idea: AI-as-a-Service Framework
  Description: Architectural framework for exposing AI/ML capabilities as consumable services within future network infrastructure.

  ---
  ID: 3700
  Draft: ITU-T Y.3178: Requirements and framework of federated machine learning
  Idea: Federated Machine Learning Framework
  Description: Requirements and architectural framework enabling distributed machine learning training across multiple domains without centralizing raw data.

  ---
  ID: 3701
  Draft: ITU-T Y.3179: Architectural framework for AI-based network automation
  Idea: AI-Based Network Automation Architecture
  Description: Architectural framework for applying AI and machine learning to automate network management, orchestration, and control functions.

  ---
  ID: 3702
  Draft: ITU-T Y.3180: Framework for multi-domain ML pipeline in future networks
  Idea: Multi-Domain ML Pipeline Framework
  Description: Framework for orchestrating machine learning pipelines that span and integrate across multiple network domains in future networks.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3683": 3,
    "3684": 3,
    "3685": 3,
    "3686": 3,
    "3687": 2,
    "3688": 2,
    "3689": 2,
    "3690": 2,
    "3691": 2,
    "3692": 2,
    "3693": 3,
    "3694": 2,
    "3695": 2,
    "3696": 3,
    "3697": 2,
    "3698": 4,
    "3699": 2,
    "3700": 3,
    "3701": 2,
    "3702": 3
  }


draft_name: _novelty_score_
prompt_hash: ffb42033e66c46b8
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:47.507187+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3703
  Draft: ITU-T Y.3181: Architectural framework for trustworthy networking based on machine learning technology
  Idea: Trustworthy ML-based Network Architecture
  Description: An architectural framework that integrates machine learning into networking systems with explicit trustworthiness guarantees and safety mechanisms.

  ---
  ID: 3704
  Draft: ITU-T Y.3530: Cloud computing — Overview of machine learning in future networks
  Idea: ML Integration in Future Network Cloud Platforms
  Description: A comprehensive overview of how machine learning technologies are deployed and leveraged within cloud computing infrastructure for next-generation networks.

  ---
  ID: 3705
  Draft: ITU-T Y.3531: Cloud computing — Functional architecture for machine learning as a service
  Idea: MLaaS Functional Architecture
  Description: A functional architecture defining how machine learning services are provisioned, managed, and consumed in cloud computing environments.

  ---
  ID: 3706
  Draft: ITU-T Y.4464: Framework for IoT-area network using autonomous agents
  Idea: Autonomous Agent-based IoT Area Networks
  Description: A framework for organizing and coordinating IoT networks using autonomous agents as the primary control and coordination mechanism.

  ---
  ID: 3707
  Draft: ITU-T Y.4907: Reference architecture for intelligent transportation systems communication network using AI
  Idea: AI-driven Intelligent Transportation Communication Architecture
  Description: A reference architecture for communication networks in intelligent transportation systems that leverages AI for network optimization and coordination.

  ---
  ID: 3708
  Draft: NIST AI 100-1: Artificial Intelligence Risk Management Framework (AI RMF 1.0)
  Idea: AI Risk Management Framework Lifecycle
  Description: A comprehensive framework organizing AI risk management across four functions (Govern, Map, Measure, Manage) that addresses trustworthiness characteristics throughout the AI system lifecycle.

  ---
  ID: 3709
  Draft: NIST AI 100-1 Playbook: AI RMF Playbook
  Idea: AI RMF Implementation Playbook
  Description: A collection of concrete, suggested actions and procedures for practitioners to operationalize the AI RMF's four governance functions.

  ---
  ID: 3710
  Draft: NIST AI 100-2 E2025: Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
  Idea: Adversarial ML Attack and Mitigation Taxonomy
  Description: A systematic classification of adversarial machine learning attacks (evasion, poisoning, privacy) and corresponding mitigations applicable to both predictive and generative AI systems.

  ---
  ID: 3711
  Draft: NIST AI 100-4: Reducing Risks Posed by Synthetic Content
  Idea: Synthetic Content Risk Management Approaches
  Description: A set of approaches including authentication, provenance tracking, and content labeling to manage risks from AI-generated synthetic content.

  ---
  ID: 3712
  Draft: NIST AI 100-6: AI Measurement and Evaluation
  Idea: AI Trustworthiness Measurement Framework
  Description: Guidance on measurement and evaluation methodologies for assessing AI system trustworthiness across dimensions including accuracy, fairness, robustness, and security.

  ---
  ID: 3713
  Draft: NIST AI 600-1: Artificial Intelligence Risk Management Framework: Generative AI Profile
  Idea: Generative AI Risk Management Profile
  Description: A specialized risk management framework extension that identifies and addresses risks unique to or exacerbated by generative AI systems, including hallucinations, data privacy, intellectual property, and CBRN information exposure.

  ---
  ID: 3714
  Draft: NIST AI 600-1: Artificial Intelligence Risk Management Framework: Generative AI Profile
  Idea: Hallucination Risk Characterization
  Description: A systematic approach to identifying, measuring, and mitigating false or fabricated outputs generated by language models and other generative systems.

  ---
  ID: 3715
  Draft: NIST CSWP 31: Proxy Validation and Verification for Critical AI Systems
  Idea: Proxy Validation and Verification Framework
  Description: A design process for validating and verifying critical AI systems through proxy mechanisms that address opacity and complexity challenges in AI testing.

  ---
  ID: 3716
  Draft: NIST IR 8579: Developing the NCCoE Chatbot: Technical and Security Learnings
  Idea: Prompt Injection Mitigation Techniques
  Description: Practical mitigations and defenses against prompt injection attacks demonstrated through implementation of an LLM-based chatbot in production.

  ---
  ID: 3717
  Draft: NIST IR 8596: Cybersecurity Framework Profile for Artificial Intelligence
  Idea: NIST Cybersecurity Framework Profile for AI
  Description: A mapping of NIST CSF functions to AI-specific cybersecurity risks and controls, enabling organizations to apply existing framework structures to AI systems.

  ---
  ID: 3718
  Draft: NIST NIST-AI-Agent-IAM: Accelerating the Adoption of Software and AI Agent Identity and Authorization
  Idea: AI Agent Identity and Authorization Framework
  Description: A conceptual framework for authentication, authorization, and accountability mechanisms specific to autonomous software and AI agents in automated systems.

  ---
  ID: 3719
  Draft: NIST SP 800-218A: Secure Software Development Practices for Generative AI and Dual-Use Foundation Models
  Idea: SSDF Profile for Generative AI and Foundation Models
  Description: An SSDF community profile defining secure software development practices tailored to generative AI and dual-use foundation models, covering data, training, and deployment security.

  ---
  ID: 3720
  Draft: A YANG Model for SmartPDU Monitoring and Control
  Idea: SmartPDU YANG Data Model
  Description: A standardized YANG data model for Smart Power Distribution Units that provides vendor-neutral configuration, monitoring, and control of intelligent power distribution systems. The model addresses the current fragmentation of proprietary SmartPDU APIs and data formats.

  ---
  ID: 3721
  Draft: An requirement of Cloud Network Intelligent Operation and Maintenance.
  Idea: Cloud Network Intelligent Operation and Maintenance Standard
  Description: A standardized framework for applying intelligent automation and AI-driven techniques to cloud network operations and maintenance.

  ---
  ID: 3722
  Draft: The Impact of AI Agent to Network Infrastructure
  Idea: AI Agent Infrastructure Impact Analysis
  Description: Analysis of how AI agents affect network infrastructure design and communication requirements.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3703": 3, "3704": 2, "3705": 3, "3706": 4, "3707": 3, "3708": 4, "3709": 2, "3710": 3, "3711": 4, "3712": 3, "3713": 4, "3714": 4, "3715": 5, "3716": 3, "3717": 3, "3718": 4, "3719": 4, "3720": 3, "3721": 2, "3722": 2}


draft_name: _novelty_score_
prompt_hash: e3f3e97daa4123c3
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:49.879414+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3723
  Draft: Application of the Border Gateway Protocol and IDRP for IP in the Internet
  Idea: BGP and IDRP Inter-Autonomous System Routing Protocol
  Description: Specification of routing protocols for inter-autonomous system communication in the Internet.

  ---
  ID: 3724
  Draft: Operational Recommendations for DS Automation
  Idea: DS Parameter Automation for DNS Delegation Signing
  Description: Operational guidance for automated acceptance and validation of DS parameters from child DNS operators to parent agents.

  ---
  ID: 3725
  Draft: Bundle Protocol Version 7 Administrative Record Types Registry
  Idea: Bundle Protocol Version 7 Administrative Record Types Registry
  Description: IANA registry mechanism for managing Bundle Protocol administrative record types with reserved code points for private and experimental use.

  ---
  ID: 3726
  Draft: Cookies: HTTP State Management Mechanism
  Idea: Layered Cookie Architecture
  Description: A revised HTTP cookie mechanism that addresses historical security and privacy deficiencies in cookie handling while maintaining compatibility with existing deployed systems.

  ---
  ID: 3727
  Draft: Cookies: HTTP State Management Mechanism
  Idea: Revised HTTP Cookie Specification
  Description: An updated definition of Cookie and Set-Cookie header fields that corrects flaws in the original RFC 6265 specification.

  ---
  ID: 3728
  Draft: Implementation Considerations for Ephemeral Diffie-Hellman Over COSE (EDHOC)
  Idea: EDHOC Implementation Guidance
  Description: Practical considerations and recommendations for correctly implementing the EDHOC authenticated key exchange protocol.

  ---
  ID: 3729
  Draft: Certificate Management Messages over CMS (CMC): Compliance Requirements
  Idea: CMC Compliance Requirements
  Description: A specification of compliance requirements and obligations for implementations of the CMC certificate management enrollment protocol.

  ---
  ID: 3730
  Draft: SSH Agent Protocol
  Idea: SSH Agent Protocol Specification
  Description: Formal specification of a key agent protocol for use within the SSH protocol ecosystem.

  ---
  ID: 3731
  Draft: Crawler best practices
  Idea: Web Crawler Best Practices
  Description: Codified best practices for responsible web crawler behavior and deployment.

  ---
  ID: 3732
  Draft: Window Sizing for Zstandard Content Encoding
  Idea: Zstandard Window Size Requirement for HTTP
  Description: Elevates zstd window size limits from RFC8878 recommendation to mandatory requirement in HTTP contexts to resolve interoperability issues.

  ---
  ID: 3733
  Draft: A SIP Response Code (497) for Call Transfer Failure
  Idea: SIP 497 Call Transfer Failure Response Code
  Description: Defines a new SIP response code (497) with optional warning codes to signal call transfer operation failures and enable intelligent call handling.

  ---
  ID: 3734
  Draft: Ubiquitous Access Collaboration Requirements for AI Agent Protocols
  Idea: AI Agent Protocol Ubiquitous Access Collaboration Requirements
  Description: Identifies requirements for AI agent communication protocols in ubiquitous access collaboration scenarios.

  ---
  ID: 3735
  Draft: Requirements for Provider Edge in IPv6-only Underlay Networks
  Idea: IPv6-only Provider Edge Requirements
  Description: Functional, protocol, and operational requirements for PE devices in multi-domain networks with exclusively IPv6 underlay supporting IPv4aaS.

  ---
  ID: 3736
  Draft: Agent Networking Scenarios of Digital Banking
  Idea: Agent Gateway Architecture for Digital Banking
  Description: A networking architecture centered on an agent gateway component enabling agentic service interconnection in digital banking scenarios.

  ---
  ID: 3737
  Draft: The Use of URIs as Meta-Syntax for Core Mail List Commands and their Transport through Message Header Fields
  Idea: URI-based Mailing List Command Header Fields
  Description: Structured email header fields (List-Help, List-Subscribe, List-Unsubscribe, List-Post, List-Owner, List-Archive) using URIs to enable standardized mailing list operations.

  ---
  ID: 3738
  Draft: List-Id: A Structured Field and Namespace for the Identification of Mailing Lists
  Idea: List-Id Header Field for Mailing List Identification
  Description: A standardized header field and FQDN-based namespace providing unique, persistent identifiers for mailing lists independent of hosting infrastructure.

  ---
  ID: 3739
  Draft: ECDP: Elliptic Curve Data Protocol
  Idea: Elliptic Curve Data Protocol (ECDP)
  Description: A peer-to-peer communication protocol using elliptic curve cryptography for encryption, ECDSA for authentication, and ECDH for key exchange, supporting multiple curves over TCP and UDP.

  ---
  ID: 3740
  Draft: Implementation Considerations for Ephemeral Diffie-Hellman Over COSE (EDHOC)
  Idea: EDHOC Implementation Guidance
  Description: Provides practical implementation considerations for the authenticated key exchange protocol EDHOC to guide developers.

  ---
  ID: 3741
  Draft: Data Transmission Security of Identity Resolution in Industrial Internet
  Idea: Industrial Internet Identity Resolution Security
  Description: Analyzes and defines essential security protective measures for data transmission in identity resolution systems within industrial internet infrastructure.

  ---
  ID: 3742
  Draft: Broadband Network UP-Specific Information Suboption for the DHCP Relay Agent Option
  Idea: DHCP Relay Agent Suboption for UP-Specific Information
  Description: Define a new suboption for DHCP relay agent information option that carries Broadband Network UP-specific data to enable consistent IP address assignment within service groups.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3723": 1, "3724": 3, "3725": 2, "3726": 4, "3727": 2, "3728": 2, "3729": 2, "3730": 3, "3731": 3, "3732": 3, "3733": 3, "3734": 4, "3735": 3, "3736": 1, "3737": 4, "3738": 4, "3739": 3, "3740": 2, "3741": 3, "3742": 3}


draft_name: _novelty_score_
prompt_hash: a47eea53d84e6e19
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:52.626159+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3743
  Draft: Broadband Network UP-Specific Information Suboption for the DHCP Relay Agent Option
  Idea: DHCP Relay Agent Suboption for UP-Specific Information
  Description: Define a new suboption for DHCP relay agent information option that carries Broadband Network UP-specific data to enable consistent IP address assignment within service groups.

  ---
  ID: 3744
  Draft: Agents Networking Scenarios in Enterprise and Broadband Networks
  Idea: Agent Networking Scenarios in Enterprise and Broadband Networks
  Description: Characterize distinct networking scenarios and deployment patterns for agentic services in enterprise and home broadband environments.

  ---
  ID: 3745
  Draft: ISO 13141:2015/Amd 1:2017: Electronic fee collection — Localisation augmentation communication for autonomous systems — Amendment 1
  Idea: Localisation augmentation communication for autonomous fee collection
  Description: Amendment extending electronic fee collection systems with augmented localization communication protocols for autonomous vehicle systems.

  ---
  ID: 3746
  Draft: ISO 24801-2:2007: Recreational diving services — Safety related minimum requirements for the training of recreational scuba divers — Part 2: Level 2 — Autonomous diver
  Idea: Autonomous diver competency certification framework
  Description: Specifies minimum competency requirements and assessment procedures for certifying recreational scuba divers as autonomous divers.

  ---
  ID: 3747
  Draft: ISO/AWI TR 19182: Geographic information — How to incorporate Geospatial Artificial Intelligence (GeoAI) in geographic information standards
  Idea: Framework for integrating Geospatial AI into geographic information standards
  Description: Technical report defining methodologies and best practices for incorporating geospatial artificial intelligence capabilities into geographic information standardization.

  ---
  ID: 3748
  Draft: ISO/AWI TR 24492: Standardization needs for the application of artificial intelligence in the financial services industry
  Idea: Standardization roadmap for AI in financial services
  Description: Identifies standardization gaps and requirements for applying artificial intelligence technologies across financial services industry operations.

  ---
  ID: 3749
  Draft: ISO/IEC 15938-18:2023: Information technology — Multimedia content description interface — Part 18: Conformance and reference software for compression of neural networks
  Idea: Neural network compression conformance and reference implementation
  Description: Specifies conformance testing procedures and provides reference software implementations for neural network compression defined in ISO/IEC 15938-17.

  ---
  ID: 3750
  Draft: ISO/IEC 15938-18:2025: Information technology — Multimedia content description interface — Part 18: Conformance and reference software for compression of neural networks
  Idea: Neural Network Compression Conformance Testing
  Description: Standardized conformance testing procedures and bitstreams for validating implementations of neural network compression according to ISO/IEC 15938-17.

  ---
  ID: 3751
  Draft: ISO/IEC 15938-18:2025: Information technology — Multimedia content description interface — Part 18: Conformance and reference software for compression of neural networks
  Idea: Neural Network Compression Reference Software
  Description: Reference implementation software for ISO/IEC 15938-17 neural network compression standards to enable interoperability and validation.

  ---
  ID: 3752
  Draft: ISO/IEC 2382-28:1995: Information technology — Vocabulary — Part 28: Artificial intelligence — Basic concepts and expert systems
  Idea: AI and Expert Systems Terminology
  Description: Standardized vocabulary definitions for fundamental artificial intelligence and expert systems concepts.

  ---
  ID: 3753
  Draft: ISO/IEC 2382-29:1999: Information technology — Vocabulary — Part 29: Artificial intelligence — Speech recognition and synthesis
  Idea: Speech Recognition and Synthesis Terminology
  Description: Standardized vocabulary definitions for speech recognition and synthesis AI concepts.

  ---
  ID: 3754
  Draft: ISO/IEC AWI 22989-2: Artificial intelligence — Concepts and terminology — Part 2: Healthcare
  Idea: Healthcare AI Terminology Framework
  Description: Establishes standardized terminology and concepts specific to artificial intelligence applications in healthcare contexts.

  ---
  ID: 3755
  Draft: ISO/IEC AWI TR 24030: Information technology — Artificial intelligence (AI) — Use cases
  Idea: AI Use Case Repository
  Description: Provides a collection of representative use cases demonstrating AI applications across diverse domains.

  ---
  ID: 3756
  Draft: ISO/IEC CD TR 18988: Artificial intelligence — Application of AI technologies in health informatics
  Idea: AI in Health Informatics Application Framework
  Description: Defines how AI technologies should be applied within health informatics systems and workflows.

  ---
  ID: 3757
  Draft: ISO/IEC CD TS 22440-3: Artificial intelligence — Functional safety and AI systems — Part 3: Examples of application
  Idea: Functional Safety Application Examples for AI Systems
  Description: Concrete demonstrations of how to apply functional safety principles and verification methods to AI-based systems across different application domains.

  ---
  ID: 3758
  Draft: ISO/IEC DTR 23888-1: Information technology — Artificial intelligence for multimedia — Part 1: Vision and scenarios
  Idea: AI for Multimedia Vision Framework
  Description: Systematic vision and scenario definitions for applying artificial intelligence to multimedia processing and analysis tasks.

  ---
  ID: 3759
  Draft: ISO/IEC NP 23614: Framework of Knowledge Graph
  Idea: Knowledge Graph Framework Standard
  Description: Standardized framework defining the structure, semantics, and interoperability requirements for knowledge graphs.

  ---
  ID: 3760
  Draft: ISO/IEC NP 23615: Neural network representation and model compression
  Idea: Neural Network Representation and Compression Standard
  Description: Standardized methods for representing neural network models and compressing them for efficient deployment and storage.

  ---
  ID: 3761
  Draft: ISO/IEC PWI 17866: Artificial intelligence — Best practice guidance for mitigating ethical and societal concerns
  Idea: Ethical and Societal Risk Mitigation Guidance for AI
  Description: Best practice guidance for identifying and mitigating ethical and societal concerns in AI system design and deployment.

  ---
  ID: 3762
  Draft: ISO/IEC TR 24030:2021: Artificial intelligence — Use cases
  Idea: AI Use Cases Taxonomy Across Domains
  Description: A comprehensive collection and categorization of representative AI application use cases spanning multiple industry domains.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3743": 4, "3744": 3, "3745": 2, "3746": 1, "3747": 4, "3748": 3, "3749": 2, "3750": 2, "3751": 1, "3752": 1, "3753": 1, "3754": 2, "3755": 2, "3756": 2, "3757": 3, "3758": 3, "3759": 3, "3760": 3, "3761": 3, "3762": 2}


draft_name: _novelty_score_
prompt_hash: 97666ae32e8b41aa
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:56.248663+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3763
  Draft: ISO/IEC TR 24030:2024: Information technology — Artificial intelligence (AI) — Use cases
  Idea: AI Use Cases Taxonomy Across Domains
  Description: A comprehensive collection and categorization of representative AI application use cases spanning multiple industry domains.

  ---
  ID: 3764
  Draft: ISO/NP PAS 8800-1: Road vehicles — Safety and artificial intelligence — Part 1: Definitions and concepts
  Idea: AI Safety Concepts for Road Vehicles
  Description: Standardized definitions and conceptual framework for safety considerations when integrating artificial intelligence into road vehicle systems.

  ---
  ID: 3765
  Draft: ISO/PWI 18497-5: Agricultural machinery and tractors — Safety of partially automated, semi-autonomous and autonomous machinery — Part 5: open
  Idea: Safety Framework for Autonomous Agricultural Machinery
  Description: Safety requirements and protocols for partially automated, semi-autonomous, and fully autonomous agricultural machinery and tractors.

  ---
  ID: 3766
  Draft: ISO/TS 13141:2010/Cor 1:2013: Electronic fee collection — Localisation augmentation communication for autonomous systems — Technical Corrigendum 1
  Idea: Localization Augmentation Communication for Autonomous Systems
  Description: Communication protocols and standards for enhancing location accuracy and information sharing in autonomous system implementations for electronic fee collection.

  ---
  ID: 3767
  Draft: ISO/TS 23860:2022: Ships and marine technology — Vocabulary related to autonomous ship systems
  Idea: Maritime Autonomous Surface Ship Terminology Framework
  Description: Standardized vocabulary for classifying and describing autonomous ship systems including MASS and inland waterway variants.

  ---
  ID: 3768
  Draft: MCP Aggregation Protocol (MCP-AX): Hierarchical Tool Namespace Delegation for Model Context Protocol Servers
  Idea: MCP Aggregation Protocol
  Description: A master-subagent architecture that enables hierarchical composition of tool namespaces across networks of Model Context Protocol servers with recursive delegation and capability-aware routing.

  ---
  ID: 3769
  Draft: AgentCard: A Framework-Neutral Identity and Capability Declaration Format for Agent-to-Agent Communication
  Idea: AgentCard Identity Format
  Description: A framework-neutral JSON data format for autonomous agents to declare identity, capabilities, communication endpoints, and resource pricing for agent-to-agent interoperability.

  ---
  ID: 3770
  Draft: Physically Annotated Causal Record (PACR): A Wire Format for Verifiable Causal Intervention Events
  Idea: Physically Annotated Causal Record
  Description: A wire-format protocol representing verifiable causal-intervention events as six-tuples binding causal identity, predecessors, thermodynamic cost, resources, cognitive complexity, and Pearl's do-calculus classification.

  ---
  ID: 3771
  Draft: WLP: Wet-Lab Protocol -- AI-to-Automation Instruction Schema v0
  Idea: Wet-Lab Protocol
  Description: An AI-to-automation instruction schema for translating AI hypotheses into machine-executable wet-lab instructions for longevity research automation.

  ---
  ID: 3772
  Draft: Agent Execution and Payment Protocol (AEPP)
  Idea: Agent Execution and Payment Protocol
  Description: A standardized protocol layer providing discovery, payment verification, and execution phases for AI agents with on-chain payment verification and cryptographic receipts.

  ---
  ID: 3773
  Draft: The AI Discovery Endpoint: A Structured Mechanism for AI Agent Service Discovery and Capability Exposure
  Idea: AI Discovery Endpoint
  Description: A well-known resource at /.well-known/ai that returns structured JSON describing a web service's capabilities, actions, and authentication requirements for AI agents.

  ---
  ID: 3774
  Draft: Agent Identity Protocol: Agentic Authentication and Authorized Policy Enforcement
  Idea: Agent Identity Protocol
  Description: A two-layer protocol providing verifiable identity through unique identifiers and key pairs for AI agents, plus policy enforcement through signature verification and declarative authorization.

  ---
  ID: 3775
  Draft: The Prove-Transform-Verify (PTV) Protocol for Attested Agent Identity
  Idea: Prove-Transform-Verify Protocol
  Description: A hardware-anchored protocol using TPM 2.0/secure enclaves and zero-knowledge proofs to enable cross-domain agent authorization without exposing raw data.

  ---
  ID: 3776
  Draft: Transaction Tokens For Agents
  Idea: Agent Context in Transaction Tokens
  Description: An OAuth extension using the 'act' field to identify the agent performing actions while the 'sub' field represents the principal for agent context propagation.

  ---
  ID: 3777
  Draft: Agent Transaction Protocol (ATP)
  Idea: Cryptographically Verifiable DAG for Agent Transactions
  Description: A protocol that represents agent actions as signed nodes in a directed acyclic graph to enable tamper-evident causality tracking and auditable lineage across agentic systems.

  ---
  ID: 3778
  Draft: Principal Agent Protocol (PAP)
  Idea: Human-Rooted Cryptographic Agent Protocol
  Description: A cryptographic protocol establishing human-controlled agent-to-agent transactions through hierarchical delegation, selective disclosure, and session ephemerality without requiring central infrastructure.

  ---
  ID: 3779
  Draft: The Asimov Safety Architecture for Autonomous AI Agents
  Idea: Dual-Gate Safety Architecture with Separated Judge
  Description: A hierarchical security framework that architecturally separates reasoning models from judging models using deterministic denylists and context-free LLM judges to prevent safety rule manipulation.

  ---
  ID: 3780
  Draft: Agent Context Compression Protocol (ACCP)
  Idea: Semantic Context Compression for Agent Communication
  Description: A protocol defining compact message formats and semantic encoding that reduces token consumption by 60-90% for AI agent communication within harnesses.

  ---
  ID: 3781
  Draft: Architecture for Human-Anchored Agent Identity, Delegation, and Provenance
  Idea: Human-Anchored Agent Identity Model
  Description: An architectural model establishing human identity roots with explicit delegation semantics and provenance structures to determine agent legitimacy and authority scope.

  ---
  ID: 3782
  Draft: Agentic Identity and Provenance over Avian Carriers (AIPAC)
  Idea: AIPAC Protocol
  Description: A cryptographic identity and provenance attestation system specifically adapted for AI agents operating over avian carrier transport layers.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3763": 2,
    "3764": 3,
    "3765": 3,
    "3766": 3,
    "3767": 2,
    "3768": 4,
    "3769": 4,
    "3770": 5,
    "3771": 4,
    "3772": 3,
    "3773": 3,
    "3774": 3,
    "3775": 4,
    "3776": 3,
    "3777": 4,
    "3778": 4,
    "3779": 4,
    "3780": 4,
    "3781": 3,
    "3782": 5
  }


draft_name: _novelty_score_
prompt_hash: 50cc0a0bbc97cdf3
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:20:58.770419+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3783
  Draft: Verifiable Intent -- environment.* Constraint Family
  Idea: Environment Constraint Family
  Description: A constraint family for Verifiable Intent that validates external environmental conditions at transaction execution time rather than just transaction properties.

  ---
  ID: 3784
  Draft: MARC: A Control and Uncertainty Disclosure Profile for Generative Models and Agents
  Idea: MARC Control Profile
  Description: A vendor-neutral metadata profile that separates pre-decision capability assessment from post-decision confidence and defines a bounded action set for generative AI systems.

  ---
  ID: 3785
  Draft: Delta-1: A SCITT Profile for Binary Settlement Receipts in Agentic AI Accountability
  Idea: Delta-1 SCITT Profile
  Description: A SCITT profile that provides binary settlement receipts proving AI decisions met three simultaneous accountability conditions with offline verification.

  ---
  ID: 3786
  Draft: OAuth 2.0 Agent Authorization Explicit Revocation
  Idea: Agent-based OAuth Token Revocation
  Description: Extends OAuth 2.0 revocation with batch operations, cascade propagation, and agent-level coordination for autonomous systems.

  ---
  ID: 3787
  Draft: Sovereign Policy Token Transactions (SPT-Txn)
  Idea: Sovereign Policy Token Transactions
  Description: Token-based architecture for policy-bound, tamper-evident authorization across trust boundaries using Capability Acquisition Tokens that extend IETF Transaction Tokens.

  ---
  ID: 3788
  Draft: The Crovia Seal: A Cryptographic Receipt Format for AI-Generated Output Provenance
  Idea: Crovia Seal
  Description: Cryptographic receipt format that provides tamper-evident provenance tracking for AI-generated outputs using Ed25519 signatures and hash chains.

  ---
  ID: 3789
  Draft: Agentic Reasoning Protocol (ARP): DNS-Bound Cryptographic Verification for Machine-Readable Entity Claims
  Idea: Agentic Reasoning Protocol v1
  Description: DNS-bound cryptographic verification system for machine-readable entity claims to prevent narrative injection in AI agent data consumption.

  ---
  ID: 3790
  Draft: Agentic Reasoning Protocol (ARP) Version 2.0
  Idea: Agentic Reasoning Protocol v2
  Description: Extended ARP with live REST API, bidirectional feedback, multi-party attestation, and DID anchoring for AI agent communication.

  ---
  ID: 3791
  Draft: Proof-of-Behavior Protocol for Autonomous AI Agents
  Idea: Proof-of-Behavior Protocol
  Description: A tamper-evident audit trail protocol for verifying AI agent actions using signed receipts, hash-chains, and pre-execution policy enforcement.

  ---
  ID: 3792
  Draft: Agent Identity Registry System: A Federated Architecture for Hardware-Anchored Identity of Autonomous Entities
  Idea: Agent Identity Registry
  Description: A federated architecture providing hardware-anchored persistent identities for autonomous entities using URN-based identifiers.

  ---
  ID: 3793
  Draft: Hardware Attestation for Email Sender Verification
  Idea: Email Hardware Attestation
  Description: A mechanism for automated email senders to include cryptographic hardware attestation evidence in message headers for sender verification.

  ---
  ID: 3794
  Draft: OAuth 2.0 Agents Native Authorization via Structured Elicitation
  Idea: Structured Elicitation for OAuth
  Description: An extension to OAuth 2.0 FiPA defining standardized metadata format for AI agent authorization challenges using structured elicitation arrays.

  ---
  ID: 3795
  Draft: AI Agent Execution Profile of SCITT
  Idea: SCITT AI Agent Profile
  Description: A SCITT profile defining AgentInteractionRecord format and registration policies for creating verifiable audit trails of AI agent actions.

  ---
  ID: 3796
  Draft: Agentic Intent Network (AIN): A Routing-Based Architecture for AI Agent Coordination at Scale
  Idea: Agentic Intent Network (AIN)
  Description: A routing-based architecture enabling any AI agent to discover and invoke any other agent's capabilities without pre-established integration across organizational boundaries at Internet scale.

  ---
  ID: 3797
  Draft: Saturation Agentic Stridential (SAS): The Synthetic Noise Deluge of Autonomous Agents
  Idea: Reality Layer (RL) Framework
  Description: A deterministic pre-execution admission control system using NIST-validated Invariant Reality Prism and binary sovereignty metrics to filter autonomous agent-generated noise.

  ---
  ID: 3798
  Draft: Fluid Agentic DeFi Protocol (FADP/1.0): HTTP-Native Micropayment Authentication for Autonomous AI Agents
  Idea: Fluid Agentic DeFi Protocol (FADP)
  Description: An HTTP-native protocol enabling autonomous AI agents to pay for web resources using cryptocurrency with cryptographic payment proofs embedded in HTTP headers.

  ---
  ID: 3799
  Draft: AgentID: An Identity Protocol for Autonomous AI Agents
  Idea: AgentID Protocol
  Description: An identity protocol using Agent Identity Tokens (JWT-based) to establish, verify and manage autonomous AI agent identities with delegation chains and capability attestation.

  ---
  ID: 3800
  Draft: Intent Provenance Protocol (IPP)
  Idea: Intent Provenance Protocol (IPP)
  Description: A cryptographic infrastructure using Intent Tokens to maintain verified human intent lineage through chains of autonomous AI agent actions.

  ---
  ID: 3801
  Draft: Considerations for AI Agent Communication and Networking in Enterprise
  Idea: Agent Identifier and Semantic Routing
  Description: A mechanism for agent identification, registration, capability discovery and semantic routing to enable trusted access and efficient collaboration among heterogeneous agents in enterprise environments.

  ---
  ID: 3802
  Draft: AI Manifest: Embedded Workflow Instructions for AI Agents
  Idea: AI Manifest Protocol
  Description: A JSON-based format for websites to declare step-by-step UI workflow instructions that AI agents can execute via CSS selectors without DOM analysis.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3783": 4, "3784": 3, "3785": 4, "3786": 2, "3787": 4, "3788": 3, "3789": 4, "3790": 3, "3791": 3, "3792": 2, "3793": 3, "3794": 3, "3795": 2, "3796": 4, "3797": 5, "3798": 4, "3799": 2, "3800": 4, "3801": 2, "3802": 4}


draft_name: _novelty_score_
prompt_hash: 54632bfa497a4992
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:21:01.722781+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3803
  Draft: Credential Broker for Agents (CB4A)
  Idea: Credential Broker for Agents Architecture
  Description: A credential vaulting and brokering architecture that provides AI agents with short-lived, narrowly scoped proxy credentials instead of long-lived API credentials.

  ---
  ID: 3804
  Draft: Human Delegation Provenance Protocol (HDP): Cryptographic Chain-of-Custody for Agentic AI Systems
  Idea: Human Delegation Provenance Protocol
  Description: A token-based protocol that cryptographically captures and verifies human authorization and delegation chains in multi-agent AI systems without requiring central registries.

  ---
  ID: 3805
  Draft: The TLS TimeToken Secure Protocol (tttps://)
  Idea: TLS TimeToken Secure Protocol
  Description: A TLS 1.3 extension that provides cryptographically verifiable temporal ordering to address strategic channel controller problems where ordering has economic value.

  ---
  ID: 3806
  Draft: AI Governance Verified -- A Cryptographic Verification Standard for Agentic AI Governance in Regulated Industries
  Idea: Verification Reconciliation Object (VRO)
  Description: A cryptographic verification standard that produces deterministic, independently reconstructable, auditor-grade attestations of agentic AI governance through eight control areas and three maturity levels.

  ---
  ID: 3807
  Draft: AGTP Agent Certificate Extension
  Idea: AGTP Agent Certificate Extension
  Description: An X.509 v3 certificate extension that cryptographically binds AGTP agent identity headers to TLS certificates for transport-layer verification.

  ---
  ID: 3808
  Draft: AGTP-API: Verbs, Paths, Endpoints, and Synthesis
  Idea: AGTP-API Contract Layer
  Description: A contract layer defining curated method catalogs, path grammar, endpoint primitives, and PROPOSE-and-synthesis runtime contract negotiation for agent-server interactions.

  ---
  ID: 3809
  Draft: AGTP Merchant Identity and Agentic Commerce Binding
  Idea: AGTP Merchant Identity Binding
  Description: A protocol-level identity and verification mechanism for the receiving side of agentic transactions through Merchant Manifest Documents and Merchant Genesis records.

  ---
  ID: 3810
  Draft: Agentic Grammar and Interface Specification (AGIS)
  Idea: Agentic Grammar and Interface Specification (AGIS)
  Description: A grammar-constrained interface definition language using intent-expressing imperative verbs as method identifiers to enable LLM agents to infer operational meaning without predefined catalogs.

  ---
  ID: 3811
  Draft: Agent Transfer Protocol (AGTP)
  Idea: Agent Transfer Protocol (AGTP)
  Description: A dedicated application-layer protocol for AI agent traffic that provides semantic vocabulary, observability primitives, and identity mechanisms beyond HTTP.

  ---
  ID: 3812
  Draft: Agent Transfer Protocol (AGTP)
  Idea: Runtime Contract Negotiation Substrate
  Description: A transport mechanism that allows dynamic negotiation of communication contracts between agents at runtime.

  ---
  ID: 3813
  Draft: Agent Transfer Protocol (ATP)
  Idea: Agent Transfer Protocol (ATP)
  Description: A dedicated application-layer protocol providing agent-native intent methods like QUERY, SUMMARIZE, BOOK, SCHEDULE, LEARN, DELEGATE, and COLLABORATE.

  ---
  ID: 3814
  Draft: Agent Quality Graph (AQG): A Protocol for Evaluating AI Agent Trustworthiness via Delegation Graphs
  Idea: Agent Quality Graph Protocol
  Description: A graph-based ranking system that evaluates AI agent trustworthiness using delegation transaction patterns similar to web page ranking algorithms.

  ---
  ID: 3815
  Draft: VIRP: Verified Infrastructure Response Protocol
  Idea: Verified Infrastructure Response Protocol
  Description: A cryptographic trust framework providing verifiable chain of custody for observations and actions in automated network infrastructure operations.

  ---
  ID: 3816
  Draft: vCon Agent Session
  Idea: vCon Agent Session Extension
  Description: A compatible vCon extension that captures autonomous AI agent internal sessions including prompts, tool invocations, reasoning, and provenance alongside human conversations.

  ---
  ID: 3817
  Draft: Agentic Notation Markup Language (ANML) 1.0
  Idea: Agentic Notation Markup Language (ANML)
  Description: A machine-first markup language for agent-to-agent and agent-to-service communication that describes content, intent, and interaction patterns optimized for machine interpretation.

  ---
  ID: 3818
  Draft: Security Considerations for Intent-Based Requests in Agentic Systems
  Idea: Intent-Based Request Security Model
  Description: A security analysis framework and reference model for intent-based requests in agentic systems addressing multi-hop processing attack surfaces.

  ---
  ID: 3819
  Draft: Agent Directory
  Idea: Agent Directory (AD)
  Description: A service where agents register their identity, capabilities, and endpoints and where clients discover them by capability, adapting CoRE Resource Directory for software agents.

  ---
  ID: 3820
  Draft: Agentic AI Operation of Constrained RESTful Environments
  Idea: LLM-Based IoT Agent Architecture
  Description: An architecture for AI agents that autonomously discover, interpret, and interact with IoT devices using CoAP and hypermedia-driven patterns without pre-configured device knowledge.

  ---
  ID: 3821
  Draft: Verifiable Data Access Contract (VDAC)
  Idea: Verifiable Data Access Contract (VDAC)
  Description: A protocol for cryptographically verifiable bilateral agreements between content publishers and automated agents regarding terms of programmatic data access.

  ---
  ID: 3822
  Draft: A Trust and Authentication Framework for Cross-Domain Agent-to-Agent Communications
  Idea: Cross-Domain Agent Trust Framework
  Description: An architectural framework providing protocol-agnostic trust substrate for agent identity, credentialing, authorization, delegation, and revocation across trust domains.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3803": 3,
    "3804": 4,
    "3805": 4,
    "3806": 3,
    "3807": 2,
    "3808": 3,
    "3809": 3,
    "3810": 4,
    "3811": 3,
    "3812": 3,
    "3813": 2,
    "3814": 4,
    "3815": 3,
    "3816": 3,
    "3817": 3,
    "3818": 3,
    "3819": 2,
    "3820": 4,
    "3821": 4,
    "3822": 2
  }


draft_name: _novelty_score_
prompt_hash: a7d36d8c43a7bb43
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:21:05.119106+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3823
  Draft: Agent Authorization Envelope (AAE): A Machine-Evaluable Authorization Structure for Autonomous AI Agents
  Idea: Agent Authorization Envelope
  Description: A structured authorization container with MANDATE, CONSTRAINTS, and VALIDITY blocks that captures machine-evaluable semantics for autonomous agent authorization.

  ---
  ID: 3824
  Draft: An Architecture for Auditing AI Agent Delegation and Interactions
  Idea: Agent Interaction Audit Architecture
  Description: A distributed architecture for auditing agent-driven interactions that links intent, delegation, authorization, and execution through audit record generation and context propagation.

  ---
  ID: 3825
  Draft: Agent Identity, Trust and Lifecycle Protocol (AITLP)
  Idea: Agent Identity Trust and Lifecycle Protocol
  Description: A comprehensive protocol for organizational agent identity, hierarchical mandate enforcement, lifecycle management, and inter-agent trust verification with boundary-focused constraints.

  ---
  ID: 3826
  Draft: Agent Transfer Protocol (ATP)
  Idea: Agent Transfer Protocol
  Description: A two-tier communication protocol enabling autonomous agents to exchange messages through ATP servers with DNS-based service discovery and mandatory authentication policies.

  ---
  ID: 3827
  Draft: Agent Metadata Synchronization Protocol
  Idea: Agent Metadata Synchronization Protocol
  Description: A protocol for hierarchical gateways to synchronize agent metadata and routing information across distributed Internet of Agents deployments.

  ---
  ID: 3828
  Draft: Protocol 427: An HTTP Budget-Required Status Code with Post-Quantum-Signed Budget Attestations
  Idea: HTTP Budget Authentication Scheme
  Description: An HTTP authentication scheme with 427 status code that separates credential verification from budget authorization using post-quantum-signed attestations.

  ---
  ID: 3829
  Draft: Zero-Trust Intent Protocol (ZTIP)
  Idea: Zero-Trust Intent Protocol
  Description: A protocol defining primitives for verifiable delegation, intent binding, and behavioral attestation in multi-agent systems.

  ---
  ID: 3830
  Draft: An Agent-Channel Frame for Identity-Keyed Fan-Out Delivery to Concurrent Sessions
  Idea: Agent-Channel Frame Format
  Description: An application-layer frame format for identity-keyed message exchange between concurrent agentic sessions with fan-out delivery model.

  ---
  ID: 3831
  Draft: The Compute-Location Gate: Provenance-Class Routing of Identity Inference with Wire-Layer Refusal of Unconsented Provenance Classes
  Idea: Compute-Location Gate
  Description: A wire-layer negotiation mechanism that determines where identity inference computations occur based on the provenance class of input data, with mandatory local-only processing for individual passive observations.

  ---
  ID: 3832
  Draft: Discovery of Model Context Protocol Servers via DNS TXT Records
  Idea: MCP Server DNS Discovery
  Description: DNS TXT record-based discovery mechanism for Model Context Protocol servers and their associated organizational and cryptographic identities.

  ---
  ID: 3833
  Draft: An IANA Registry for Model Context Protocol Tool Surface Names
  Idea: MCP Tool Surface Names Registry
  Description: An IANA registry structure for standardizing wire-level identifiers used to invoke typed capabilities on Model Context Protocol servers.

  ---
  ID: 3834
  Draft: Substrate-Observation as an Alternative to Envelope Coordination for Concurrent Sessions
  Idea: Substrate-Observation Coordination
  Description: An alternative to envelope coordination that uses substrate-physics primitives instead of wire format negotiation for coordinating concurrent sessions in cross-tool agentic systems.

  ---
  ID: 3835
  Draft: Execution Outcome Attestation for AI Agents and Automated Systems
  Idea: Execution Outcome Verification
  Description: A framework treating execution outcome verification as a first-class concept separate from identity attestation, using execution receipts as composable primitives.

  ---
  ID: 3836
  Draft: Cryptographically Verifiable Actor Chains for OAuth 2.0 Token Exchange
  Idea: Actor Chain Profiles for OAuth Token Exchange
  Description: Six standardized profiles (Declared/Verified with Full/Subset/Actor-Only disclosure) that preserve and cryptographically validate delegation paths across successive OAuth 2.0 token exchanges in multi-hop workflows.

  ---
  ID: 3837
  Draft: Cryptographically Verifiable Inference Chain for AI Agent Computational Provenance
  Idea: Cryptographic AI Inference Provenance Chain
  Description: The inference_root claim provides cryptographic proof that a specific AI model performed the computation to produce given outputs, using ZKML proofs and TEE attestations with Merkle root storage in OAuth tokens.

  ---
  ID: 3838
  Draft: Cryptographically Verifiable Intent Chain for AI Agent Content Provenance
  Idea: Cryptographic Content Provenance Chain
  Description: The intent_chain claim provides tamper-evident records of content transformation through AI agent workflows, tracking what was produced and how it was modified with Merkle root storage in OAuth tokens.

  ---
  ID: 3839
  Draft: Delegation Receipt Protocol for AI Agent Authorization
  Idea: Delegation Receipt Protocol
  Description: A cryptographic authorization primitive where users sign Authorization Objects containing scope boundaries and constraints before AI agent execution, with receipts published to append-only logs to eliminate operator trust requirements.

  ---
  ID: 3840
  Draft: Agent Identity and Discovery (AID)
  Idea: Agent Identity and Discovery Protocol
  Description: A DNS-first discovery protocol using TXT records at _agent.<domain> subdomains to locate agent service endpoints, authentication hints, and metadata before protocol-specific communication.

  ---
  ID: 3841
  Draft: Agent Route Origin Authorization (AgentROA): A Cryptographic Policy Enforcement Framework for AI Agent Actions
  Idea: Agent Route Origin Authorization (AgentROA)
  Description: A cryptographic policy enforcement framework using ROA envelopes, ARA per-hop receipts, and AER execution receipts to govern AI agent actions with monotonic scope-narrowing across delegation chains.

  ---
  ID: 3842
  Draft: Attenuating Authorization Tokens for Agentic Delegation Chains
  Idea: Attenuating Authorization Tokens (AATs)
  Description: A JWT-based credential format that enables offline derivation of more restrictive tokens with cryptographically enforced monotonic attenuation for AI agent delegation chains.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3823": 4,
    "3824": 3,
    "3825": 2,
    "3826": 2,
    "3827": 2,
    "3828": 4,
    "3829": 3,
    "3830": 4,
    "3831": 5,
    "3832": 2,
    "3833": 2,
    "3834": 5,
    "3835": 4,
    "3836": 4,
    "3837": 4,
    "3838": 4,
    "3839": 4,
    "3840": 2,
    "3841": 4,
    "3842": 4
  }


draft_name: _novelty_score_
prompt_hash: cb40263aafd6b7ad
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:21:08.336122+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3843
  Draft: Vorim Agent Identity Protocol (VAIP)
  Idea: Vorim Agent Identity Protocol (VAIP)
  Description: A comprehensive identity protocol providing cryptographic identity, hierarchical permissions, trust scoring, and tamper-evident audit trails specifically designed for autonomous AI agents.

  ---
  ID: 3844
  Draft: API Index (APIX): Core Infrastructure for Autonomous Agent Service Discovery
  Idea: API Index (APIX) Core Infrastructure
  Description: A HATEOAS-based, globally accessible service discovery infrastructure designed specifically for autonomous agents with integrated governance, trust models, and commercial sustainability mechanisms.

  ---
  ID: 3845
  Draft: Protocol Layer Prompt Engineering Specification (PLPES)
  Idea: Protocol Layer Prompt Engineering Specification (PLPES)
  Description: A structured framework for formal specification, classification, versioning, provenance tracking, and security hardening of prompts used in AI systems as protocol artifacts.

  ---
  ID: 3846
  Draft: Reilly Model Routing Protocol (RMRP): A Framework for Policy-Governed, Auditable AI Model Routing
  Idea: Reilly Model Routing Protocol (RMRP)
  Description: A framework for policy-governed, auditable routing of inference requests across heterogeneous AI model environments with cost attribution.

  ---
  ID: 3847
  Draft: The Constitutional AI Protocol (CAP) for Agentic AI Systems
  Idea: Constitutional AI Protocol (CAP)
  Description: A kernel-enforced prohibition architecture for agentic AI systems using a three-tier prohibition model with dual evaluation points.

  ---
  ID: 3848
  Draft: The Constitutional AI Protocol (CAP) for Agentic AI Systems
  Idea: Jurisdictional Conflict Resolution (JCR)
  Description: A mechanism for resolving conflicts between different jurisdictional requirements in AI governance systems.

  ---
  ID: 3849
  Draft: The Governance Audit Record (GAR) for Agentic AI Systems
  Idea: Governance Audit Record (GAR)
  Description: An audit architecture for agentic AI systems providing verifiable evidence of governance compliance through structured audit records.

  ---
  ID: 3850
  Draft: The Human Escalation Mechanism (HEM) for Agentic AI Systems
  Idea: Human Escalation Mechanism (HEM)
  Description: A kernel-level protocol defining how AI agent sessions escalate to human oversight when autonomous operation is insufficient.

  ---
  ID: 3851
  Draft: The "mcp" URI Scheme and MCP Server Discovery Mechanism
  Idea: MCP URI Scheme
  Description: A machine-to-machine identifier for publicly reachable Model Context Protocol servers.

  ---
  ID: 3852
  Draft: The "mcp" URI Scheme and MCP Server Discovery Mechanism
  Idea: MCP Server Discovery Mechanism
  Description: A dual-mode discovery system using well-known URIs and DNS TXT records for AI agents to find MCP servers.

  ---
  ID: 3853
  Draft: Campus Agent Identification and Scope-Down Access Control
  Idea: Campus Agent Access Control
  Description: Task-bound privilege reduction for AI agents operating in enterprise campus networks with enforcement by in-path network devices.

  ---
  ID: 3854
  Draft: Agent Event Behaviour Analysis (AEBA): A Framework for Behavioural Security Monitoring of Autonomous AI Agents
  Idea: Agent Event Behaviour Analysis Framework
  Description: A comprehensive framework for collecting, signing, and analyzing behavioral events from autonomous AI agents with canonical event schema and deviation detection.

  ---
  ID: 3855
  Draft: Agent Audit Trail: A Standard Logging Format for Autonomous AI Systems
  Idea: Agent Audit Trail Standard
  Description: A JSON-based logging format with tamper-evident hash chaining for autonomous AI systems to meet regulatory compliance requirements.

  ---
  ID: 3856
  Draft: Agent Identity Framework: Trust and Identity for Autonomous AI Agents
  Idea: Agent Identity Framework
  Description: A comprehensive framework for establishing trust and identity primitives for autonomous AI agents operating on the Internet.

  ---
  ID: 3857
  Draft: Trust Scoring and Identity Verification for Autonomous AI Agent Payment Transactions
  Idea: Agent Payment Trust Protocol
  Description: A protocol for trust scoring and spend limit enforcement for autonomous AI agents that initiate financial transactions.

  ---
  ID: 3858
  Draft: Agent Transport Protocol: Asynchronous Store-and-Forward Messaging for Autonomous AI Agents
  Idea: Agent Transport Protocol (ATP)
  Description: An asynchronous store-and-forward messaging protocol that enables AI agents to transmit themselves (including state, context, and capabilities) between agent runtimes across network boundaries.

  ---
  ID: 3859
  Draft: Agent Public Key Infrastructure (APKI): Certificate-Based Identity and Trust for Autonomous AI Agents
  Idea: Agent Public Key Infrastructure (APKI)
  Description: A certificate-based identity system that extends X.509v3 with agent-specific extensions for graduated trust scoring, capability constraints, delegation chains, and model provenance.

  ---
  ID: 3860
  Draft: ATTP: Agent Trust Transport Protocol
  Idea: Agent Trust Transport Protocol Framework
  Description: A protocol-agnostic framework that separates trust from identity by providing trust scoring, action-limit enforcement, compliance gating, and tamper-evident audit for autonomous AI agents.

  ---
  ID: 3861
  Draft: ATTP: Agent Trust Transport Protocol for Secure Agent-to-Server Communication
  Idea: ATTP HTTP Implementation
  Description: A synchronous request-response protocol over HTTP that adds mandatory cryptographic identity verification, per-message signing, and trust-gated access control for agent-to-server communication.

  ---
  ID: 3862
  Draft: MCPS: Cryptographic Security Layer for the Model Context Protocol
  Idea: MCP Secure (MCPS)
  Description: A cryptographic security layer that adds agent identity verification, per-message signing, and replay protection to Model Context Protocol communications through envelope-based wrapping.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {"3843": 3, "3844": 4, "3845": 4, "3846": 3, "3847": 4, "3848": 3, "3849": 3, "3850": 3, "3851": 2, "3852": 2, "3853": 4, "3854": 3, "3855": 2, "3856": 2, "3857": 3, "3858": 5, "3859": 2, "3860": 3, "3861": 2, "3862": 2}


draft_name: _novelty_score_
prompt_hash: af9281edacfc6ed7
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:21:11.603736+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3863
  Draft: OpenID Connect Agent Identity Claims for Autonomous AI Agents
  Idea: OpenID Connect Agent Profile
  Description: A profile of OpenID Connect that enables identity providers to issue tokens for autonomous AI agents with agent-specific claims for identity, ownership, trust posture, and capabilities.

  ---
  ID: 3864
  Draft: Proof of Sovereign Integrity (PSI): A Cryptographic Protocol for Verifiable AI Regulatory Compliance
  Idea: Proof of Sovereign Integrity Protocol
  Description: A cryptographic framework using hash chains, zero-knowledge proofs, and multi-party computation to prove AI regulatory compliance without disclosing proprietary model details.

  ---
  ID: 3865
  Draft: Agent Identity Protocol (AIP): Decentralized Identity and Delegation for AI Agents
  Idea: Agent Identity Protocol
  Description: A decentralized identity and delegation framework for AI agents combining DIDs, capability-based authorization, and cryptographic delegation chains without centralized identity providers.

  ---
  ID: 3866
  Draft: Governance Framework for AI-Mediated Autonomous Network Device Management
  Idea: AI Network Governance Framework
  Description: A governance framework defining thirteen areas of control for AI systems that autonomously manage network devices, establishing principles for what such systems may and may not do.

  ---
  ID: 3867
  Draft: Agent Trust Negotiation: Capability, Delegation, and Provenance Binding for AI Agents
  Idea: Agent Trust Negotiation Protocol
  Description: A protocol that operates above DNS-based agent discovery to establish verifiable agreements between agents by binding capability, delegation, authority, and provenance artifacts to agent identities.

  ---
  ID: 3868
  Draft: Agent Internet Protocol (AIP)
  Idea: Agent Internet Protocol
  Description: A network layer protocol providing best-effort datagram delivery between AI agents identified by human-readable agent:// URIs instead of numeric IP addresses.

  ---
  ID: 3869
  Draft: Agent Invocation Transport Protocol (AITP)
  Idea: Agent Invocation Transport Protocol
  Description: A message-framed transport protocol that natively carries method names and operates on discrete requests/responses between agents rather than byte streams.

  ---
  ID: 3870
  Draft: Agent Name System (ANS)
  Idea: Agent Name System
  Description: A name registration and resolution system that maps human-readable agent:// URIs to cryptographic peer identities for AI agent communication.

  ---
  ID: 3871
  Draft: High-Frequency Action-Integrity Protocol (HAIP)
  Idea: High-Frequency Action-Integrity Protocol
  Description: A real-time identity verification protocol for AI agents featuring microsecond-precision pulses and decentralized identity mechanisms.

  ---
  ID: 3872
  Draft: Sovereign Autonomous Trust Protocol (SATP) v1.0
  Idea: Sovereign Autonomous Trust Protocol
  Description: A foundational framework establishing verifiable identity and governance for both digital AI agents and physical autonomous systems.

  ---
  ID: 3873
  Draft: Sovereign Verification & Trust Protocol (SVTP) v1.0
  Idea: Sovereign Verification & Trust Protocol
  Description: A foundational framework establishing verifiable identity and governance for autonomous machines through SVTP-DID and Protocol Seal mechanisms.

  ---
  ID: 3874
  Draft: ADRP: Agent Dispute Resolution Protocol
  Idea: Agent Dispute Resolution Protocol
  Description: A wire protocol and state machine for resolving disputes from cryptographically-attested agent-to-agent transactions by separating cryptographic validity from contractual satisfaction.

  ---
  ID: 3875
  Draft: ATXN: Agent-to-Agent Transaction Definition Protocol
  Idea: Agent-to-Agent Transaction Definition
  Description: A canonical primitive defining the cryptographically signed bundle structure for recorded value exchanges between software agents with two-tier validity model.

  ---
  ID: 3876
  Draft: VCAP: Verified Commerce for Agent Protocols
  Idea: Verified Commerce for Agent Protocols
  Description: A settlement layer standard for financial transactions between AI agents using cryptographically verifiable proof of work delivery with escrow and automated verification.

  ---
  ID: 3877
  Draft: Problem Statement: Network-Layer Infrastructure for Autonomous Agent Communication
  Idea: Network-Layer Agent Infrastructure Requirements
  Description: Problem statement identifying the need for network-layer identity, addressing, and transport infrastructure to give AI agents first-class network citizenship.

  ---
  ID: 3878
  Draft: Pilot Protocol: An Overlay Network for Autonomous Agent Communication
  Idea: Pilot Protocol Overlay Network
  Description: An overlay network that provides autonomous AI agents with virtual addresses, port-based service multiplexing, reliable/unreliable transport, NAT traversal, encrypted tunnels, and bilateral trust model by encapsulating virtual packets in UDP datagrams.

  ---
  ID: 3879
  Draft: Agent-to-Agent Trust, Identity, and Verifiable Provenance
  Idea: Agent-to-Agent Trust Model
  Description: A trust model for A2A interactions using CA-signed templates for verifiable identities, cryptographic spawn chain validation, dual-signature policy governance, and explicit cross-organizational authorization using existing PKI primitives.

  ---
  ID: 3880
  Draft: AINS: AInternet Name Service - Agent Discovery and Trust Resolution Protocol
  Idea: AINS Agent Discovery Protocol
  Description: A protocol that maps agent identifiers to rich metadata objects containing capabilities, trust scores, and endpoint information through a transport-independent namespace with HTTPS-based resolution and federated append-only replication logs.

  ---
  ID: 3881
  Draft: IDDrop: Identity Drop and Acceptance Protocol
  Idea: IDDrop Identity Transfer Protocol
  Description: An identity-transfer protocol with offer-first and request-first operating modes that binds identity transfer to sealed carrier truth, semantic classification, actor provenance, receiver targeting, and causal validation.

  ---
  ID: 3882
  Draft: JIS: JTel Identity Standard - Identity and Trust Establishment for Autonomous Agents
  Idea: JIS Identity and Trust Protocol
  Description: A protocol providing dual-keypair identity model (HID/DID separation), trust establishment handshake (FIR/A), and human-readable context layer (Humotica) for autonomous agent identity and trust establishment.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3863": 3,
    "3864": 4,
    "3865": 3,
    "3866": 2,
    "3867": 4,
    "3868": 4,
    "3869": 4,
    "3870": 2,
    "3871": 3,
    "3872": 2,
    "3873": 2,
    "3874": 4,
    "3875": 3,
    "3876": 3,
    "3877": 1,
    "3878": 4,
    "3879": 2,
    "3880": 3,
    "3881": 5,
    "3882": 3
  }


draft_name: _novelty_score_
prompt_hash: f165e2a0d0d5a1e1
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:21:14.291515+00:00
request_json:
  Rate each idea's novelty/originality on a 1-5 scale.

  1 = Generic building block anyone would include (e.g. "Agent Gateway", "Certificate Authority")
  2 = Obvious extension of existing work, minimal originality
  3 = Useful and relevant but expected given the problem space
  4 = Interesting contribution with some original thinking
  5 = Genuinely novel mechanism, protocol, or architectural insight

  Ideas to score:

  ---
  ID: 3883
  Draft: TIBET: Transaction/Interaction-Based Evidence Trail
  Idea: TIBET Provenance Chain Protocol
  Description: A cryptographically linked provenance chain protocol that captures four dimensions (content, references, context, intent) of interactions between autonomous agents, humans, and processes.

  ---
  ID: 3884
  Draft: Provenance-Attributed Inference Token (PAIT): A Protocol for Token-Level Inference Provenance and Identity-Conditioned Inference in Generative AI Systems
  Idea: PAIT Token-Level Inference Provenance
  Description: A wire-level protocol that provides token-level provenance attribution in generative AI systems by associating each output token with verifiable training corpus attribution data.

  ---
  ID: 3885
  Draft: Judgment Event Protocol (JEP)
  Idea: JEP Verifiable Decision Event Format
  Description: A neutral verifiable event format for decision-related operations using four immutable event verbs (Judgment, Delegation, Termination, Verification) with cryptographic signatures.

  ---
  ID: 3886
  Draft: reason:// -- A URI Scheme and Registry Protocol for Validated Agent Reasoning Artifacts
  Idea: reason:// URI Scheme for Reasoning Artifacts
  Description: A URI scheme and registry protocol for naming and retrieving compressed structural reasoning artifacts that enter the registry only through competitive arbitration rounds.

  ---
  ID: 3887
  Draft: The Intent Token: A Cryptographic Authorization Primitive for Autonomous Agents
  Idea: Intent Token Authorization Primitive
  Description: A cryptographic authorization primitive that binds autonomous agent actions to cryptographically signed human-declared authorization envelopes before execution.

  ---
  ID: 3888
  Draft: Architecture for Agentic Overlay Networks
  Idea: Agentic Overlay Network Architecture
  Description: A layered architecture that enables autonomous software agents to interoperate across administrative domains by separating control-plane coordination from runtime interaction through specialized node types.

  ---
  ID: 3889
  Draft: Metadata and Query Profile for Efficient Agent Discovery
  Idea: Agent Discovery Metadata Profile
  Description: A standardized metadata and query profile that enables efficient discovery of autonomous agents through structured capability descriptions and interoperable JSON objects.

  ---
  ID: 3890
  Draft: Agent Credential Attestation Protocol (ACAP)
  Idea: Agent Credential Attestation Protocol
  Description: A cryptographic credentialing protocol that issues short-lived JWT tokens with tamper-evident delegation chains and instruction hash binding for autonomous AI agent authorization.

  ---
  ID: 3891
  Draft: An ASIL-M Profile for Multi-Root Evidence Synthesis in RATS
  Idea: Multi-Root Evidence Synthesis Profile
  Description: A RATS application profile that combines evidence from multiple independent trust roots for deterministic authorization decisions in AI inference systems.

  ---
  ID: 3892
  Draft: An ASIL-M Profile for Multi-Root Evidence Synthesis in RATS
  Idea: Twin Attestation Policy Language
  Description: A constrained policy language designed for deterministic multi-root appraisal in remote attestation scenarios.

  ---
  ID: 3893
  Draft: Security Requirements for Intent-based Agent Routing
  Idea: Intent-based Agent Routing Security
  Description: Security requirements and architecture for protecting intent-based agent routing across Registration, Resolution, and Dispatch phases beyond traditional channel protection.

  ---
  ID: 3894
  Draft: An RDAP Profile for Agent Identifier Registration Data
  Idea: RDAP Profile for Agent Identifiers
  Description: An RDAP extension that defines object classes and query mechanisms for AI agent identifier registration data including locator bindings and operational metadata.

  ---
  ID: 3895
  Draft: IPv6 Networking Considerations for AI Agent Communication
  Idea: Agent Identifier to IPv6 Locator Mapping
  Description: A mechanism for associating stable Agent identifiers with IPv6 locators or Agent Gateways to support agent mobility and communication across network boundaries.

  ---
  ID: 3896
  Draft: Use Cases and Requirements for AI Agent Policy-Aware Network
  Idea: AI Agent Policy-Aware Network Architecture
  Description: A network paradigm that transforms traditional flow-aware networks to agent-aware networks with policy-intent-based QoS through Agent Policy-aware Controllers and Devices.


  Return ONLY a JSON object mapping idea ID to score, like {"123": 3, "456": 1, ...}.
  No fences, no explanation.

response_json:
  {
    "3883": 4,
    "3884": 5,
    "3885": 4,
    "3886": 5,
    "3887": 4,
    "3888": 3,
    "3889": 2,
    "3890": 3,
    "3891": 3,
    "3892": 4,
    "3893": 3,
    "3894": 2,
    "3895": 2,
    "3896": 4
  }


draft_name: _landscape_
prompt_hash: b03800865dc610b7
model: claude-sonnet-4-20250514
created_at: 2026-05-22T10:21:54.997733+00:00
request_json:
  You are analyzing the landscape of 889 documents related to AI agents and autonomous systems from multiple standards organizations.

  ## IETF Drafts — Categories and Draft Counts
  - Policy/governance: 259 drafts
  - Agent identity/auth: 202 drafts
  - Data formats/interop: 202 drafts
  - A2A protocols: 157 drafts
  - AI safety/alignment: 152 drafts
  - Autonomous netops: 91 drafts
  - Agent discovery/reg: 84 drafts
  - Human-agent interaction: 70 drafts
  - Model serving/inference: 54 drafts
  - Other AI/agent: 54 drafts
  - ML traffic mgmt: 50 drafts

  ## Most Common Technical Ideas (from IETF drafts)
  - AC/TE YANG Models for Edge AI Placement (3 drafts)
  - Model Context Protocol over MOQT (3 drafts)
  - Automatic Extended Route Optimization over OMNI Interfaces (3 drafts)
  - A2A Protocol Transport over MOQT (2 drafts)
  - AI Traffic Characterization Framework (2 drafts)
  - Federated AI Service Operations Model (2 drafts)
  - Intent-Based Security Policy Translation for 5G (2 drafts)
  - Distributed Policy Enforcement via NEF and IBN Controllers (2 drafts)
  - Agent Identity Protocol (2 drafts)
  - Hybrid Post-Quantum Cryptography for EAP-AKA' (2 drafts)
  - Tiered Risk-Based Governance for Autonomous AI Agents (2 drafts)
  - AI Agent Protocol Framework (2 drafts)
  - HTTP Content Usage Preference Signaling (2 drafts)
  - KEM-based Authentication for EDHOC (2 drafts)
  - Human-in-the-Loop Confirmation Protocol (2 drafts)
  - Intent-based Agent Interconnection Protocol (2 drafts)
  - Decentralized LLM Inference Coordination Framework (2 drafts)
  - DRIP Entity Tags for Air Domain Awareness (2 drafts)
  - AI Agent Integration Requirements in 6G Networks (2 drafts)
  - MCP-based Network Measurement Framework (2 drafts)

  ## Known Overlap Clusters (groups of highly similar drafts)
  Multiple clusters of near-duplicate drafts exist, particularly in:
  - Policy/governance (259 drafts, high internal overlap)
  - Agent identity/auth (202 drafts, high internal overlap)
  - Data formats/interop (202 drafts, high internal overlap)
  - A2A protocols (157 drafts, high internal overlap)
  - AI safety/alignment (152 drafts, high internal overlap)


  ## Other Standards Bodies

  ### ETSI (12 documents)
  - **ETSI EN 304 223: Baseline Cyber Security Requirements for AI Models and Systems**: ETSI SAI specification: Baseline Cyber Security Requirements for AI Models and Systems
  - **ETSI GR ENI 007: ENI Definition of Categories for AI Application to Networks**: ETSI ENI specification: ENI Definition of Categories for AI Application to Networks
  - **ETSI GR SAI 001: AI Threat Ontology**: ETSI SAI specification: AI Threat Ontology
  - **ETSI GR SAI 002: Data Supply Chain Security**: ETSI SAI specification: Data Supply Chain Security
  - **ETSI GR SAI 003: Security Testing of AI**: ETSI SAI specification: Security Testing of AI
  - **ETSI GR SAI 004: Problem Statement on AI and Automated Decision Making**: ETSI SAI specification: Problem Statement on AI and Automated Decision Making
  - **ETSI GR SAI 005: Mitigation Strategy Report**: ETSI SAI specification: Mitigation Strategy Report
  - **ETSI GR SAI 006: Role of Hardware in AI Security**: ETSI SAI specification: Role of Hardware in AI Security
  - **ETSI GS ENI 001: ENI Use Cases**: ETSI ENI specification: ENI Use Cases
  - **ETSI GS ENI 002: ENI Requirements**: ETSI ENI specification: ENI Requirements
  - **ETSI GS ENI 005: System Architecture**: ETSI ENI specification: System Architecture
  - **ETSI GS ENI 019: Representing, Inferring, and Applying Context Information**: ETSI ENI specification: Representing, Inferring, and Applying Context Information

  ### ISO (238 documents)
  - **IEC/NP TS 62366-3: Medical devices — Part 3: Guidance on the application of usability engineering to**: This Part of IEC 62366, which is a Technical Specification, contains background information and provides guidance that addresses the specific areas th
  - **ISO 12813:2015: Electronic fee collection — Compliance check communication for autonomous systems**: <p>ISO 12813:2015 defines requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee-collecting s
  - **ISO 12813:2015/Amd 1:2017: Electronic fee collection — Compliance check communication for autonomous**: ISO/IEC standard: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 1. Committee: ISO/TC 204.
  - **ISO 12813:2015/CD Amd 2: Electronic fee collection — Compliance check communication for autonomous s**: ISO/IEC standard: Electronic fee collection — Compliance check communication for autonomous systems — Amendment 2. Committee: ISO/TC 204.
  - **ISO 12813:2019: Electronic fee collection — Compliance check communication for autonomous systems**: <p>This document defines requirements for short-range communication for the purposes of compliance checking in autonomous electronic fee collecting sy
  - **ISO 12813:2024: Electronic fee collection — Compliance check communication for autonomous systems**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies requirements for short-range communication for the purposes of compliance checking i
  - **ISO 13141:2015: Electronic fee collection — Localisation augmentation communication for autonomous s**: <p>ISO 13141:2015 establishes requirements for short-range communication for the purposes of augmenting the localization in autonomous electronic fee 
  - **ISO 13141:2015/Amd 1:2017: Electronic fee collection — Localisation augmentation communication for a**: ISO/IEC standard: Electronic fee collection — Localisation augmentation communication for autonomous systems — Amendment 1. Committee: ISO/TC 204.
  - **ISO 13141:2024: Electronic fee collection — Localization augmentation communication for autonomous s**: <p class='MsoBodyText'><span lang='EN-GB'>This document establishes requirements for short-range communication for the purposes of augmenting the loca
  - **ISO 16363:2012: Space data and information transfer systems — Audit and certification of trustworthy**: <p>ISO 16363:2012 defines a recommended practice for assessing the trustworthiness of digital repositories. It is applicable to the entire range of di
  - **ISO 16363:2025: Space data and information transfer systems — Audit and certification of trustworthy**: <p class='MsoNormal'><span style='color: black; mso-color-alt: windowtext;'>This document defines a CCSDS Recommended Practice on which to base an aud
  - **ISO 16919:2014: Space data and information transfer systems — Requirements for bodies providing audi**: <p>ISO 16919:2014 is meant primarily for those setting up and managing the organization performing the auditing and certification of digital repositor
  - **ISO 16919:2025: Space data and information transfer systems — Requirements for bodies providing audi**: <p class='MsoNormal'><span lang='EN-GB' style='mso-ansi-language: EN-GB;'>This document defines a CCSDS Recommended Practice (and ISO standard) on whi
  - **ISO 17575-1:2016: Electronic fee collection — Application interface definition for autonomous system**: <p>ISO 17575-1:2016 defines the format and semantics of the data exchange between a Front End (OBE plus optional proxy) and corresponding Back Ends in
  - **ISO 17575-2:2016: Electronic fee collection — Application interface definition for autonomous system**: <p>ISO 17575-2:2016 defines how to convey all or parts of the data element structure defined in other parts of ISO 17575 over any communication stack 
  - **ISO 17575-3:2016: Electronic fee collection — Application interface definition for autonomous system**: <p>ISO 17575-3:2016 defines the content, semantics and format of the data exchange between a Front End (OBE plus optional proxy) and the corresponding
  - **ISO 17757:2017: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system sa**: <p>ISO 17757 provides safety requirements for autonomous machines and semi-autonomous machines used in earth-moving and mining operations, and their a
  - **ISO 17757:2019: Earth-moving machinery and mining — Autonomous and semi-autonomous machine system sa**: <p>This document provides safety requirements for autonomous machines and semi-autonomous machines (ASAM) used in earth-moving and mining operations, 
  - **ISO 18374:2025: Dentistry — Artificial intelligence (AI) and augmented intelligence (AuI) based 2D r**: <p class='MsoBodyText'><span lang='EN-GB'>This document defines the requirements for developing and documenting the goals, limitations, target end use
  - **ISO 18497-1:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of agricultural machinery and tractors that are used in ag
  - **ISO 18497-2:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of obstacle protective systems used in agricultural machin
  - **ISO 18497-3:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for the design of agricultural machinery and tractors utilizing systems (
  - **ISO 18497-4:2024: Agricultural machinery and tractors — Safety of partially automated, semi-autonomo**: <p class='MsoBodyText'><span lang='EN-GB'>This document specifies principles for verification methods and validation principles of agricultural machin
  - **ISO 18829:2017: Document management — Assessing ECM/EDRM implementations — Trustworthiness**: <p>ISO 18829:2017 identifies activities and operations that an organization needs to perform, or have performed, to evaluate whether the electronicall
  - **ISO 19178-1:2025: Geographic information — Training data markup language for artificial intelligence**: <p class='MsoBodyText'><span lang='EN-GB'>Within the context of training data for Earth Observation (EO) Artificial Intelligence Machine Learning (AI/
  - **ISO 20682:2026: Autonomous underwater vehicles — Risk and reliability**: <p><span lang='EN-GB'>This document specifies the risks and reliability of an autonomous underwater vehicle (AUV) in its underwater realm. It covers s
  - **ISO 22133:2026: Road vehicles — Test object monitoring and control for active safety and automated/a**: <p><span lang='EN-GB'>This document specifies requirements, procedures and message formats for controlling and monitoring of test objects, used for te
  - **ISO 22373:2025: Security and resilience — Authenticity, integrity and trust for products and documen**: <p class='MsoBodyText'><span lang='EN-GB'>This document establishes a framework to support stakeholders in supply and value chains to ensure the chain
  - **ISO 22733-1:2021: Road vehicles — Test method to evaluate the performance of autonomous emergency br**: <p>This document specifies a method to evaluate the behaviour of a vehicle equipped with an autonomous emergency braking system (AEBS), or dynamic bra
  - **ISO 22733-1:2022: Road vehicles — Test method to evaluate the performance of autonomous emergency br**: <p>This document specifies a method to evaluate the behaviour of a vehicle equipped with an autonomous emergency braking system (AEBS), or dynamic bra
    ... and 208 more

  ### ITU (20 documents)
  - **ITU-T FG-AI4H DEL01: AI for Health: Ethics and Governance**: ITU-T Recommendation FG-AI4H DEL01 on AI health: AI for Health: Ethics and Governance
  - **ITU-T FG-AI4H DEL02: AI for Health: Data handling**: ITU-T Recommendation FG-AI4H DEL02 on AI health: AI for Health: Data handling
  - **ITU-T FG-AI4H DEL7.2: AI for Health: Clinical evaluation of AI**: ITU-T Recommendation FG-AI4H DEL7.2 on AI health: AI for Health: Clinical evaluation of AI
  - **ITU-T X.1381: Framework for AI risk assessment in telecommunication networks**: ITU-T Recommendation X.1381 on AI security: Framework for AI risk assessment in telecommunication networks
  - **ITU-T X.1382: Security requirements for AI-based solutions in telecommunication networks**: ITU-T Recommendation X.1382 on AI security: Security requirements for AI-based solutions in telecommunication networks
  - **ITU-T X.1383: Assessment criteria for trustworthiness of AI-based telecommunication services**: ITU-T Recommendation X.1383 on Trustworthy AI: Assessment criteria for trustworthiness of AI-based telecommunication services
  - **ITU-T X.1384: Security threats and risk treatment measures for AI-based telecommunication systems**: ITU-T Recommendation X.1384 on AI security: Security threats and risk treatment measures for AI-based telecommunication systems
  - **ITU-T Y.3172: Architectural framework for machine learning in future networks including IMT-2020**: ITU-T Recommendation Y.3172 on AI/ML architecture: Architectural framework for machine learning in future networks including IMT-2020
  - **ITU-T Y.3173: Framework for evaluating intelligence levels of future networks including IMT-2020**: ITU-T Recommendation Y.3173 on AI/ML architecture: Framework for evaluating intelligence levels of future networks including IMT-2020
  - **ITU-T Y.3174: Framework for data handling to enable machine learning in future networks including IM**: ITU-T Recommendation Y.3174 on AI/ML architecture: Framework for data handling to enable machine learning in future networks including IMT-2020
  - **ITU-T Y.3176: Machine learning marketplace integration in future networks including IMT-2020**: ITU-T Recommendation Y.3176 on AI/ML architecture: Machine learning marketplace integration in future networks including IMT-2020
  - **ITU-T Y.3177: Architectural framework of AI-as-a-Service to enable AI services in future networks**: ITU-T Recommendation Y.3177 on AI/ML architecture: Architectural framework of AI-as-a-Service to enable AI services in future networks
  - **ITU-T Y.3178: Requirements and framework of federated machine learning**: ITU-T Recommendation Y.3178 on Federated learning: Requirements and framework of federated machine learning
  - **ITU-T Y.3179: Architectural framework for AI-based network automation**: ITU-T Recommendation Y.3179 on Network automation: Architectural framework for AI-based network automation
  - **ITU-T Y.3180: Framework for multi-domain ML pipeline in future networks**: ITU-T Recommendation Y.3180 on AI/ML architecture: Framework for multi-domain ML pipeline in future networks
  - **ITU-T Y.3181: Architectural framework for trustworthy networking based on machine learning technolog**: ITU-T Recommendation Y.3181 on Trustworthy AI: Architectural framework for trustworthy networking based on machine learning technology
  - **ITU-T Y.3530: Cloud computing — Overview of machine learning in future networks**: ITU-T Recommendation Y.3530 on Cloud AI: Cloud computing — Overview of machine learning in future networks
  - **ITU-T Y.3531: Cloud computing — Functional architecture for machine learning as a service**: ITU-T Recommendation Y.3531 on Cloud AI: Cloud computing — Functional architecture for machine learning as a service
  - **ITU-T Y.4464: Framework for IoT-area network using autonomous agents**: ITU-T Recommendation Y.4464 on IoT agents: Framework for IoT-area network using autonomous agents
  - **ITU-T Y.4907: Reference architecture for intelligent transportation systems communication network us**: ITU-T Recommendation Y.4907 on AI transport: Reference architecture for intelligent transportation systems communication network using AI

  ### NIST (11 documents)
  - **NIST AI 100-1: Artificial Intelligence Risk Management Framework (AI RMF 1.0)**: The AI RMF provides a framework for managing risks associated with AI systems throughout their lifecycle, addressing characteristics of trustworthy AI
  - **NIST AI 100-1 Playbook: AI RMF Playbook**: Practical companion to the AI RMF providing suggested actions for achieving AI risk management outcomes, organized by the framework's functions: Gover
  - **NIST AI 100-2 E2025: Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigat**: Establishes a taxonomy of adversarial machine learning attacks and mitigations, covering evasion, poisoning, and privacy attacks against predictive AI
  - **NIST AI 100-4: Reducing Risks Posed by Synthetic Content**: Provides guidance on approaches to manage risks from synthetic content generated by AI, including authentication, provenance tracking, and content lab
  - **NIST AI 100-6: AI Measurement and Evaluation**: Guidance on measurement and evaluation approaches for AI systems to assess trustworthiness characteristics including accuracy, fairness, robustness, a
  - **NIST AI 600-1: Artificial Intelligence Risk Management Framework: Generative AI Profile**: Companion resource for the AI RMF focusing on risks unique to or exacerbated by generative AI, covering hallucinations, data privacy, intellectual pro
  - **NIST CSWP 31: Proxy Validation and Verification for Critical AI Systems**: Describes a proxy design process for validation and verification of critical AI systems, addressing challenges of testing AI systems that are complex 
  - **NIST IR 8579: Developing the NCCoE Chatbot: Technical and Security Learnings**: Documents technical and security lessons from implementing an LLM-based chatbot at the National Cybersecurity Center of Excellence, including prompt i
  - **NIST IR 8596: Cybersecurity Framework Profile for Artificial Intelligence**: A community profile mapping NIST Cybersecurity Framework functions to AI-specific risks and controls, helping organizations manage cybersecurity risks
  - **NIST NIST-AI-Agent-IAM: Accelerating the Adoption of Software and AI Agent Identity and Authorizatio**: Concept paper on identity and authorization for AI agents, addressing how software agents authenticate, authorize, and maintain accountability in auto
  - **NIST SP 800-218A: Secure Software Development Practices for Generative AI and Dual-Use Foundation Mo**: An SSDF community profile providing secure software development practices specific to generative AI and dual-use foundation models, addressing data ma

  ### W3C (11 documents)
  - **User Agent Accessibility Guidelines 1.0**: This document provides guidelines for designing user agents that lower barriers to Web accessibility for people with disabilities (visual, hearing, ph
  - **Techniques for User Agent Accessibility Guidelines 1.0**: This document provides techniques for satisfying the checkpoints defined in "User Agent Accessibility Guidelines 1.0" [UAAG10] . These techniques addr
  - **User Agent Accessibility Guidelines (UAAG) 2.0**: This document provides guidelines for designing user agents that lower barriers to Web accessibility for people with disabilities. User agents include
  - **UAAG 2.0 Reference: Explanations, Examples, and Resources for User Agent Accessibility Guidelines 2.**: This document provides explanation of the intent of UAAG 2.0 success criteria, examples of implementation of the UAAG 2.0 guidelines, best practice re
  - **User Agent Accessibility Guidelines 2.0 Requirements**: This First Public Working Draft outlines the requirements that the User Agent Accessibility Guidelines Working Group (UAWG) has set for development of
  - **Client-Specific Web Services by Using User Agent Attributes**: This document describes a simple framework for realizing client-specific web services. The proposed method uses the client properties such as screen s
  - **User Agent Authentication Forms**: This note proposes a new HTML capability to aid in the development of authenticated web user interfaces.
  - **Common User Agent Problems**: This document explains some common mistakes in user agents due to incorrect or incomplete implementation of specifications, and suggests remedies. It 
  - **Imagemapped Images and Image-Incapable User Agents**: This memo discusses appropriate handling of documents containing imagemapped images in cases where the user-agent cannot display or otherwise process 
  - **WAI-ARIA 1.0 User Agent Implementation Guide**: Describes how user agents should support keyboard navigation, respond to roles, states, and properties provided in Web content via WAI-ARIA, and expos
  - **Web User Agents**: Web user agents include both web browsers and other intermediaries between end-users and the web. Each user agent serves its user, not any of the othe

  Identify 8-15 GAPS — areas, problems, or technical challenges NOT adequately addressed by existing drafts and standards.

  Return a JSON array:
  [{"topic":"short topic name","description":"2-3 sentence description","category":"closest category or new","severity":"critical|high|medium|low","evidence":"what suggests this gap matters","addressed_by":"which existing standards (if any) partially address this, from any source"}]

  Focus on:
  1. Problems mentioned but not solved — even across organizations
  2. Missing infrastructure pieces (no standard from ANY body covers it)
  3. Security/privacy/safety issues not addressed
  4. Interoperability gaps between competing proposals or between standards bodies
  5. Real-world deployment concerns ignored
  6. Cross-organization coordination gaps (e.g., IETF protocol needs ISO governance framework)

  Consider what NIST, ISO, ETSI, ITU-T, and W3C already cover vs what remains missing.
  JSON array only, no fences.

response_json:
  [
    {
      "topic": "Cross-Organization AI Agent Liability Framework",
      "description": "No unified framework exists for determining legal liability when AI agents from different organizations interact and cause harm. Current standards focus on technical requirements but lack coordinated governance for multi-party agent scenarios.",
      "category": "Policy/governance",
      "severity": "critical",
      "evidence": "NIST covers risk management and ISO has safety requirements, but no standard addresses liability chains when autonomous agents interact across organizational boundaries",
      "addressed_by": "NIST AI RMF (partially), ISO safety standards (domain-specific only)"
    },
    {
      "topic": "Real-time Agent Capability Negotiation",
      "description": "Autonomous agents need standardized protocols to dynamically discover and negotiate capabilities in real-time interactions. Current discovery mechanisms assume static capability sets and don't handle evolving AI models.",
      "category": "Agent discovery/reg",
      "severity": "high",
      "evidence": "IETF has 84 agent discovery drafts but most focus on registration, not dynamic capability negotiation during active sessions",
      "addressed_by": "IETF agent discovery drafts (static only)"
    },
    {
      "topic": "Federated AI Agent Training Security",
      "description": "Standards lack comprehensive security frameworks for federated learning scenarios where multiple AI agents collaborate on model training. Privacy-preserving techniques and poisoning attack prevention are inadequately specified.",
      "category": "AI safety/alignment",
      "severity": "high",
      "evidence": "ITU-T Y.3178 covers federated ML framework but NIST adversarial ML taxonomy doesn't address multi-agent training scenarios",
      "addressed_by": "ITU-T Y.3178 (basic framework), NIST AI 100-2 (single-agent focus)"
    },
    {
      "topic": "AI Agent Resource Consumption Accounting",
      "description": "No standardized methodology exists for measuring and accounting for computational resources consumed by autonomous agents across different infrastructure providers. This creates billing and resource management challenges.",
      "category": "Model serving/inference",
      "severity": "medium",
      "evidence": "ISO electronic fee collection standards exist for simple systems, but no equivalent for complex AI agent resource usage across cloud providers",
      "addressed_by": "ISO electronic fee collection standards (non-AI systems only)"
    },
    {
      "topic": "Human Override Verification Protocols",
      "description": "While human-in-the-loop protocols exist, there's no standard for cryptographically verifying that human overrides of autonomous systems are authentic and authorized, creating security vulnerabilities.",
      "category": "Human-agent interaction",
      "severity": "high",
      "evidence": "IETF has human-in-the-loop confirmation protocols but lack cryptographic verification of human identity and authorization",
      "addressed_by": "IETF Human-in-the-Loop Confirmation Protocol (partial)"
    },
    {
      "topic": "Multi-Modal AI Agent Communication Standards",
      "description": "Current protocols focus on text-based agent communication but lack standards for agents that communicate through multiple modalities (text, voice, images, sensor data) simultaneously in coordinated interactions.",
      "category": "A2A protocols",
      "severity": "medium",
      "evidence": "IETF A2A protocols are primarily text-based, while real-world agents increasingly use multi-modal interfaces",
      "addressed_by": "IETF A2A protocol drafts (text-only)"
    },
    {
      "topic": "AI Agent Emergency Shutdown Coordination",
      "description": "No standardized protocols exist for coordinating emergency shutdown of interconnected autonomous agents during cascading failure scenarios. Individual shutdown mechanisms exist but not coordinated response.",
      "category": "AI safety/alignment",
      "severity": "critical",
      "evidence": "ISO safety standards cover individual machine shutdown but not coordinated multi-agent emergency responses",
      "addressed_by": "ISO machine safety standards (single-system focus)"
    },
    {
      "topic": "Cross-Domain AI Model Provenance Tracking",
      "description": "Standards lack unified approaches for tracking AI model provenance across different domains and organizations, making it difficult to verify model origins and modifications in complex agent ecosystems.",
      "category": "Data formats/interop",
      "severity": "high",
      "evidence": "NIST covers synthetic content provenance but not comprehensive model provenance across organizational boundaries",
      "addressed_by": "NIST AI 100-4 (synthetic content only)"
    },
    {
      "topic": "Autonomous Agent Legal Standing Recognition",
      "description": "No framework exists for recognizing when AI agents can act with legal standing versus when they require human principals. This creates uncertainty in contract formation and legal obligations.",
      "category": "Policy/governance",
      "severity": "high",
      "evidence": "Legal recognition gaps mentioned in governance discussions but no technical standards address digital identity for legal standing",
      "addressed_by": "None identified"
    },
    {
      "topic": "AI Agent Behavioral Audit Trail Standards",
      "description": "While logging exists, there's no standardized format for comprehensive behavioral audit trails that can track decision-making processes across different AI agent architectures and be used for post-incident analysis.",
      "category": "AI safety/alignment",
      "severity": "medium",
      "evidence": "ETSI has AI security testing but lacks standardized audit trail formats for behavioral analysis",
      "addressed_by": "ETSI GR SAI 003 (testing focus only)"
    },
    {
      "topic": "Inter-Standards-Body Protocol Mapping",
      "description": "Critical gaps exist in mapping between protocols from different standards bodies (IETF networking, ISO safety, ITU-T AI frameworks), preventing cohesive implementation of agent systems that must comply with multiple standards.",
      "category": "Data formats/interop",
      "severity": "high",
      "evidence": "Each standards body develops protocols in isolation with minimal cross-referencing or compatibility requirements",
      "addressed_by": "None - each organization works independently"
    }
  ]


