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v0.2.0: visualizations, interactive browser, arXiv paper, gap analysis

Browse Source 
New features:
- 12 interactive visualizations (ietf viz): t-SNE landscape, similarity
  heatmap, score distributions, timeline, bubble explorer, radar charts,
  author network graph, category treemap, quality vs overlap, org bar chart,
  ideas chart, and interactive draft browser
- Interactive draft browser (browser.html): filterable by category, keyword,
  score sliders with sortable table and expandable detail rows
- arXiv paper (paper/main.tex): 13-page manuscript with all findings
- Gap analysis: 12 identified under-addressed areas
- Author network: collaboration graph, org contributions, cross-org analysis
- Draft generation from gaps (ietf draft-gen)
- Auto-load .env for API keys (python-dotenv)

New modules: visualize.py, authors.py, draftgen.py
New reports: timeline, overlap-matrix, authors, gaps
New deps: plotly, matplotlib, seaborn, scipy, scikit-learn, networkx, python-dotenv

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Chris Nennemann
2026-02-28 13:37:55 +01:00
parent f44f9265bd
commit be9cf9c5d9
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# Author & Organization Network
*Generated 2026-02-28 10:40 UTC — 403 unique authors across 260 drafts*
## Top Authors by Draft Count
| # | Author | Organization | Drafts | Categories |
|--:|--------|-------------|-------:|------------|
| 1 | Bing Liu | Huawei | 21 | A2A protocols, AI safety/alignment, Agent discovery / registration |
| 2 | Nan Geng | Huawei | 19 | A2A protocols, AI safety/alignment, Agent discovery / registration |
| 3 | Zhenbin Li | Huawei | 19 | A2A protocols, AI safety/alignment, Agent discovery / registration |
| 4 | Qiangzhou Gao | Huawei | 18 | A2A protocols, AI safety/alignment, Agent discovery / registration |
| 5 | Xiaotong Shang | Huawei | 17 | A2A protocols, AI safety/alignment, Agent discovery / registration |
| 6 | Jianwei Mao | Huawei | 11 | A2A protocols, AI safety/alignment, Agent discovery/reg |
| 7 | Aijun Wang | China Telecom | 8 | A2A protocols, Agent discovery / registration, Agent discovery/reg |
| 8 | Yong Cui | Tsinghua University | 8 | A2A protocols, AI safety/alignment, Agent discovery / registration |
| 9 | Guanming Zeng | Huawei | 7 | A2A protocols, Agent discovery/reg, Autonomous netops |
| 10 | Göran Selander | Ericsson | 7 | A2A protocols, Agent discovery/reg, Agent identity/auth |
| 11 | Michael Richardson | Sandelman Software Works | 7 | Agent discovery/reg, Agent identity/auth, Autonomous netops |
| 12 | Jonathan Rosenberg | Five9 | 7 | A2A protocols, AI safety/alignment, Agent discovery/reg |
| 13 | Madhava Gaikwad | | 6 | A2A protocols, Agent discovery/reg, Agent identity/auth |
| 14 | Pat White | Bitwave | 6 | A2A protocols, AI safety/alignment, Agent discovery/reg |
| 15 | Cullen Fluffy Jennings | Cisco | 6 | A2A protocols, AI safety/alignment, Agent discovery / registration |
| 16 | Li Zhang | Huawei Technologies | 5 | A2A protocols, Agent discovery / registration, Agent discovery/reg |
| 17 | Tirumaleswar Reddy.K | Nokia | 5 | Agent identity/auth, Data formats/interop |
| 18 | Roland Schott | Deutsche Telekom | 5 | A2A protocols, Agent discovery/reg, Agent identity/auth |
| 19 | John Preuß Mattsson | Ericsson | 5 | A2A protocols, Agent discovery/reg, Agent identity/auth |
| 20 | Chenguang Du | Zhongguancun Laboratory | 4 | A2A protocols, Agent discovery / registration, Agent discovery/reg |
| 21 | Mengyao Han | China Unicom | 4 | A2A protocols, Agent discovery/reg, Agent identity/auth |
| 22 | Aritra Banerjee | Nokia | 4 | Agent identity/auth |
| 23 | Peter Chunchi Liu | Huawei | 4 | A2A protocols, AI safety/alignment, Agent identity/auth |
| 24 | Xueting Li | China Telecom | 4 | A2A protocols, Agent discovery/reg, Agent identity/auth |
| 25 | Lidia Pocero Fraile | ISI, R.C. ATHENA | 4 | A2A protocols, Agent identity/auth |
| 26 | Meiling Chen | China Mobile | 4 | A2A protocols, AI safety / guardrails / alignment, AI safety/alignment |
| 27 | Christos Koulamas | ISI, R.C. ATHENA | 4 | A2A protocols, Agent identity/auth |
| 28 | Marco Tiloca | RISE AB | 4 | A2A protocols, Agent identity/auth, Data formats/interop |
| 29 | Diego Lopez | Telefonica | 4 | A2A protocols, AI safety/alignment, Agent discovery/reg |
| 30 | Li Su | China Mobile | 4 | A2A protocols, AI safety / guardrails / alignment, AI safety/alignment |
## Top Organizations
| # | Organization | Authors | Drafts |
|--:|-------------|--------:|-------:|
| 1 | Huawei | 30 | 25 |
| 2 | China Mobile | 17 | 19 |
| 3 | Huawei Technologies | 12 | 18 |
| 4 | China Telecom | 17 | 15 |
| 5 | China Unicom | 19 | 14 |
| 6 | Cisco | 10 | 12 |
| 7 | Tsinghua University | 7 | 11 |
| 8 | Independent | 10 | 9 |
| 9 | Cisco Systems | 10 | 9 |
| 10 | Sandelman Software Works | 1 | 7 |
| 11 | Independent Researcher | 4 | 7 |
| 12 | Five9 | 1 | 7 |
| 13 | Zhongguancun Laboratory | 4 | 6 |
| 14 | ZTE Corporation | 8 | 6 |
| 15 | Bitwave | 1 | 6 |
| 16 | Nokia | 2 | 5 |
| 17 | Inria | 5 | 5 |
| 18 | Unaffiliated | 1 | 4 |
| 19 | Telefonica | 2 | 4 |
| 20 | ISI, R.C. ATHENA | 4 | 4 |
## Strongest Collaboration Pairs
| Author A | Author B | Shared Drafts |
|----------|----------|-----:|
| Bing Liu | Nan Geng | 18 |
| Zhenbin Li | Qiangzhou Gao | 18 |
| Zhenbin Li | Nan Geng | 18 |
| Bing Liu | Zhenbin Li | 17 |
| Bing Liu | Qiangzhou Gao | 17 |
| Bing Liu | Xiaotong Shang | 17 |
| Zhenbin Li | Xiaotong Shang | 17 |
| Qiangzhou Gao | Nan Geng | 17 |
| Qiangzhou Gao | Xiaotong Shang | 17 |
| Nan Geng | Xiaotong Shang | 17 |
| Zhenbin Li | Jianwei Mao | 10 |
| Jianwei Mao | Nan Geng | 10 |
| Bing Liu | Jianwei Mao | 9 |
| Jianwei Mao | Qiangzhou Gao | 9 |
| Jianwei Mao | Xiaotong Shang | 9 |
| Jonathan Rosenberg | Pat White | 6 |
| Jianwei Mao | Guanming Zeng | 6 |
| John Preuß Mattsson | Göran Selander | 5 |
| Bing Liu | Li Zhang | 5 |
| Bing Liu | Guanming Zeng | 5 |
## Cross-Organization Collaboration
| Org A | Org B | Shared Drafts |
|-------|-------|-----:|
| Five9 | Bitwave | 6 |
| Tsinghua University | Zhongguancun Laboratory | 5 |
| Huawei | China Mobile | 4 |
| Huawei | China Unicom | 4 |
| China Mobile | ZTE Corporation | 3 |
| Five9 | Cisco | 3 |
| Huawei | China Telecom | 3 |
| Unaffiliated | Deutsche Telekom | 3 |
| Unaffiliated | Infoblox, Inc. | 3 |
| AWS | University of Waterloo | 2 |
| Aryaka | JPMorgan Chase & Co | 2 |
| Aryaka | Oracle | 2 |
| Aryaka | Telefonica | 2 |
| Beijing University of Posts and
Telecommunications | China Telecom | 2 |
| Beijing University of Posts and
Telecommunications | Tsinghua University | 2 |

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# Gap Analysis: IETF AI/Agent Draft Landscape
*Generated 2026-02-28 12:14 UTC — analyzing 260 drafts*
### 1. Agent Resource Management
**Severity:** CRITICAL
**Category:** autonomous netops
**Description:** No comprehensive framework for managing computational resources, memory, and processing power across distributed AI agents. Current drafts focus on communication but ignore how agents compete for and share limited resources in multi-agent environments.
**Evidence:** Real deployments will face resource contention, but no drafts address scheduling, quotas, or fair allocation mechanisms
### 2. Agent Behavior Verification
**Severity:** CRITICAL
**Category:** AI safety/alignment
**Description:** No mechanisms to verify that deployed agents actually behave according to their declared policies or specifications. Gap between stated capabilities and runtime behavior validation.
**Evidence:** Only 36 safety drafts vs 260 total, and no mention of runtime behavior verification in technical ideas
### 3. Agent Error Recovery and Rollback
**Severity:** CRITICAL
**Category:** autonomous netops
**Description:** Missing standards for how agents handle and recover from errors, particularly cascading failures across agent networks. No rollback mechanisms for autonomous decisions gone wrong.
**Evidence:** Autonomous operations imply unsupervised decisions, but no error recovery mechanisms identified
### 4. Cross-Protocol Translation
**Severity:** HIGH
**Category:** A2A protocols
**Description:** With 92 A2A protocol drafts and high overlap, there's no standard way for agents using different communication protocols to interoperate. Missing universal translation layer or protocol negotiation mechanism.
**Evidence:** Multiple competing A2A protocols with no interoperability framework suggests fragmentation problem
### 5. Agent Lifecycle Management
**Severity:** HIGH
**Category:** agent discovery/reg
**Description:** Missing standards for agent deployment, versioning, updates, and retirement. No clear protocols for how agents evolve or get replaced without disrupting dependent services.
**Evidence:** Registration covered but no mention of versioning, updates, or graceful shutdown procedures
### 6. Multi-Agent Consensus Mechanisms
**Severity:** HIGH
**Category:** A2A protocols
**Description:** No frameworks for how groups of AI agents reach consensus on conflicting decisions or priorities. Critical for autonomous systems that must coordinate without human intervention.
**Evidence:** Autonomous netops requires coordination but no consensus mechanisms appear in technical ideas list
### 7. Human Override and Intervention
**Severity:** HIGH
**Category:** human-agent interaction
**Description:** Only 22 human-agent interaction drafts but no clear emergency override protocols. Missing standardized ways for humans to intervene in autonomous agent operations during critical situations.
**Evidence:** Disproportionately low human interaction focus (22 drafts) compared to autonomous operations (60 drafts)
### 8. Cross-Domain Security Boundaries
**Severity:** HIGH
**Category:** agent identity/auth
**Description:** While identity management exists, missing frameworks for agents operating across security domains with different trust levels. No clear isolation or privilege escalation prevention.
**Evidence:** Cross-domain identity mentioned but no corresponding security boundary enforcement mechanisms
### 9. Dynamic Trust and Reputation
**Severity:** HIGH
**Category:** agent identity/auth
**Description:** Missing frameworks for agents to build, assess, and revoke trust relationships dynamically based on behavior history. Static authentication insufficient for long-running autonomous systems.
**Evidence:** Certificate authorities mentioned but no dynamic trust or reputation systems in technical ideas
### 10. Agent Performance Monitoring
**Severity:** MEDIUM
**Category:** autonomous netops
**Description:** No standardized metrics or monitoring frameworks for tracking agent performance, efficiency, or drift over time. Missing observability standards for production agent deployments.
**Evidence:** ML traffic management only has 24 drafts but no performance monitoring in technical ideas
### 11. Agent Explainability Standards
**Severity:** MEDIUM
**Category:** AI safety/alignment
**Description:** No protocols for agents to explain their decisions or reasoning to other agents or humans. Critical gap for debugging and compliance in regulated environments.
**Evidence:** Low safety/alignment focus suggests governance requirements not fully addressed
### 12. Agent Data Provenance
**Severity:** MEDIUM
**Category:** data formats/interop
**Description:** No standards for tracking data lineage and provenance as information flows between agents. Critical for compliance and debugging in complex agent networks.
**Evidence:** 102 data format drafts but no provenance tracking mechanisms identified in technical ideas
## Summary by Severity
- **Critical:** 3 gaps
- **High:** 6 gaps
- **Medium:** 3 gaps

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# Overlap Matrix Report
*Generated 2026-02-28 10:28 UTC — 260x260 pairwise similarities*
## Top 50 Most Similar Pairs
| Rank | Similarity | Draft A | Draft B |
|-----:|-----------:|---------|---------|
| 1 | 0.999 | [draft-rosenberg-aiproto](https://datatracker.ietf.org/doc/draft-rosenberg-aiproto/) | [draft-rosenberg-aiproto-nact](https://datatracker.ietf.org/doc/draft-rosenberg-aiproto-nact/) |
| 2 | 0.999 | [draft-lake-pocero-authkem-ikr-edhoc](https://datatracker.ietf.org/doc/draft-lake-pocero-authkem-ikr-edhoc/) | [draft-pocero-authkem-ikr-edhoc](https://datatracker.ietf.org/doc/draft-pocero-authkem-ikr-edhoc/) |
| 3 | 0.997 | [draft-ahn-nmrg-5g-security-i2nsf-framework](https://datatracker.ietf.org/doc/draft-ahn-nmrg-5g-security-i2nsf-framework/) | [draft-ahn-opsawg-5g-security-i2nsf-framework](https://datatracker.ietf.org/doc/draft-ahn-opsawg-5g-security-i2nsf-framework/) |
| 4 | 0.995 | [draft-ietf-emu-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ietf-emu-pqc-eapaka/) | [draft-ra-emu-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ra-emu-pqc-eapaka/) |
| 5 | 0.995 | [draft-men-rtgwg-agent-networking-digibank-scenario](https://datatracker.ietf.org/doc/draft-men-rtgwg-agent-networking-digibank-scenario/) | [draft-men-rtgwg-agent-networking-in-digibank](https://datatracker.ietf.org/doc/draft-men-rtgwg-agent-networking-in-digibank/) |
| 6 | 0.995 | [draft-sun-zhang-iaip](https://datatracker.ietf.org/doc/draft-sun-zhang-iaip/) | [draft-sz-dmsc-iaip](https://datatracker.ietf.org/doc/draft-sz-dmsc-iaip/) |
| 7 | 0.994 | [draft-ar-emu-hybrid-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ar-emu-hybrid-pqc-eapaka/) | [draft-ietf-emu-hybrid-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ietf-emu-hybrid-pqc-eapaka/) |
| 8 | 0.994 | [draft-rosenberg-aiproto-cheq](https://datatracker.ietf.org/doc/draft-rosenberg-aiproto-cheq/) | [draft-rosenberg-cheq](https://datatracker.ietf.org/doc/draft-rosenberg-cheq/) |
| 9 | 0.993 | [draft-a2a-moqt-transport](https://datatracker.ietf.org/doc/draft-a2a-moqt-transport/) | [draft-nandakumar-a2a-moqt-transport](https://datatracker.ietf.org/doc/draft-nandakumar-a2a-moqt-transport/) |
| 10 | 0.992 | [draft-lake-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-lake-pocero-authkem-edhoc/) | [draft-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-pocero-authkem-edhoc/) |
| 11 | 0.990 | [draft-zl-agents-networking-framework](https://datatracker.ietf.org/doc/draft-zl-agents-networking-framework/) | [draft-zlgsgl-rtgwg-agents-networking-framework](https://datatracker.ietf.org/doc/draft-zlgsgl-rtgwg-agents-networking-framework/) |
| 12 | 0.988 | [draft-ietf-httpbis-layered-cookies](https://datatracker.ietf.org/doc/draft-ietf-httpbis-layered-cookies/) | [draft-ietf-httpbis-rfc6265bis](https://datatracker.ietf.org/doc/draft-ietf-httpbis-rfc6265bis/) |
| 13 | 0.987 | [draft-zheng-agent-identity-management](https://datatracker.ietf.org/doc/draft-zheng-agent-identity-management/) | [draft-zheng-dispatch-agent-identity-management](https://datatracker.ietf.org/doc/draft-zheng-dispatch-agent-identity-management/) |
| 14 | 0.987 | [draft-eggert-mailmaint-uaautoconf](https://datatracker.ietf.org/doc/draft-eggert-mailmaint-uaautoconf/) | [draft-ietf-mailmaint-pacc](https://datatracker.ietf.org/doc/draft-ietf-mailmaint-pacc/) |
| 15 | 0.986 | [draft-yang-dmsc-ioa-task-protocol](https://datatracker.ietf.org/doc/draft-yang-dmsc-ioa-task-protocol/) | [draft-yang-ioa-protocol](https://datatracker.ietf.org/doc/draft-yang-ioa-protocol/) |
| 16 | 0.986 | [draft-abbey-scim-agent-extension](https://datatracker.ietf.org/doc/draft-abbey-scim-agent-extension/) | [draft-scim-agent-extension](https://datatracker.ietf.org/doc/draft-scim-agent-extension/) |
| 17 | 0.986 | [draft-aylward-aiga-1](https://datatracker.ietf.org/doc/draft-aylward-aiga-1/) | [draft-aylward-aiga-2](https://datatracker.ietf.org/doc/draft-aylward-aiga-2/) |
| 18 | 0.984 | [draft-pang-agents-networking-scenarios](https://datatracker.ietf.org/doc/draft-pang-agents-networking-scenarios/) | [draft-zl-agents-networking-scenarios](https://datatracker.ietf.org/doc/draft-zl-agents-networking-scenarios/) |
| 19 | 0.982 | [draft-mao-rtgwg-agent-comm-protocol-gap-analysis](https://datatracker.ietf.org/doc/draft-mao-rtgwg-agent-comm-protocol-gap-analysis/) | [draft-mzsg-rtgwg-agent-cross-device-comm-framework](https://datatracker.ietf.org/doc/draft-mzsg-rtgwg-agent-cross-device-comm-framework/) |
| 20 | 0.980 | [draft-ietf-lamps-est-renewal-info](https://datatracker.ietf.org/doc/draft-ietf-lamps-est-renewal-info/) | [draft-yusef-lamps-rfc7030-renewal-recommendation](https://datatracker.ietf.org/doc/draft-yusef-lamps-rfc7030-renewal-recommendation/) |
| 21 | 0.978 | [draft-yu-ai-agent-use-cases-in-6g](https://datatracker.ietf.org/doc/draft-yu-ai-agent-use-cases-in-6g/) | [draft-yu-dmsc-ai-agent-use-cases-in-6g](https://datatracker.ietf.org/doc/draft-yu-dmsc-ai-agent-use-cases-in-6g/) |
| 22 | 0.972 | [draft-bastian-jose-dvs](https://datatracker.ietf.org/doc/draft-bastian-jose-dvs/) | [draft-bastian-jose-pkdh](https://datatracker.ietf.org/doc/draft-bastian-jose-pkdh/) |
| 23 | 0.971 | [draft-li-dmsc-macp](https://datatracker.ietf.org/doc/draft-li-dmsc-macp/) | [draft-li-dmsc-mcps-agw](https://datatracker.ietf.org/doc/draft-li-dmsc-mcps-agw/) |
| 24 | 0.967 | [draft-zeng-mcp-troubleshooting](https://datatracker.ietf.org/doc/draft-zeng-mcp-troubleshooting/) | [draft-zm-rtgwg-mcp-troubleshooting](https://datatracker.ietf.org/doc/draft-zm-rtgwg-mcp-troubleshooting/) |
| 25 | 0.965 | [draft-rosenberg-aiproto](https://datatracker.ietf.org/doc/draft-rosenberg-aiproto/) | [draft-rosenberg-aiproto-a2t](https://datatracker.ietf.org/doc/draft-rosenberg-aiproto-a2t/) |
| 26 | 0.964 | [draft-rosenberg-aiproto-a2t](https://datatracker.ietf.org/doc/draft-rosenberg-aiproto-a2t/) | [draft-rosenberg-aiproto-nact](https://datatracker.ietf.org/doc/draft-rosenberg-aiproto-nact/) |
| 27 | 0.961 | [draft-ietf-emu-hybrid-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ietf-emu-hybrid-pqc-eapaka/) | [draft-ietf-emu-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ietf-emu-pqc-eapaka/) |
| 28 | 0.959 | [draft-bernardos-cats-isac-uc](https://datatracker.ietf.org/doc/draft-bernardos-cats-isac-uc/) | [draft-bernardos-green-isac-uc](https://datatracker.ietf.org/doc/draft-bernardos-green-isac-uc/) |
| 29 | 0.959 | [draft-happel-structured-email-trust](https://datatracker.ietf.org/doc/draft-happel-structured-email-trust/) | [draft-ietf-sml-trust](https://datatracker.ietf.org/doc/draft-ietf-sml-trust/) |
| 30 | 0.959 | [draft-gaikwad-llm-benchmarking-methodology](https://datatracker.ietf.org/doc/draft-gaikwad-llm-benchmarking-methodology/) | [draft-gaikwad-llm-benchmarking-terminology](https://datatracker.ietf.org/doc/draft-gaikwad-llm-benchmarking-terminology/) |
| 31 | 0.955 | [draft-ar-emu-hybrid-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ar-emu-hybrid-pqc-eapaka/) | [draft-ietf-emu-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ietf-emu-pqc-eapaka/) |
| 32 | 0.955 | [draft-ietf-emu-hybrid-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ietf-emu-hybrid-pqc-eapaka/) | [draft-ra-emu-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ra-emu-pqc-eapaka/) |
| 33 | 0.953 | [draft-ar-emu-hybrid-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ar-emu-hybrid-pqc-eapaka/) | [draft-ra-emu-pqc-eapaka](https://datatracker.ietf.org/doc/draft-ra-emu-pqc-eapaka/) |
| 34 | 0.953 | [draft-ramakrishna-satp-data-sharing](https://datatracker.ietf.org/doc/draft-ramakrishna-satp-data-sharing/) | [draft-ramakrishna-satp-views-addresses](https://datatracker.ietf.org/doc/draft-ramakrishna-satp-views-addresses/) |
| 35 | 0.952 | [draft-zhul-dhc-bnc-up-specific-suboption](https://datatracker.ietf.org/doc/draft-zhul-dhc-bnc-up-specific-suboption/) | [draft-zhul-intarea-bnc-up-specific-suboption](https://datatracker.ietf.org/doc/draft-zhul-intarea-bnc-up-specific-suboption/) |
| 36 | 0.950 | [draft-cui-nmrg-llm-nm](https://datatracker.ietf.org/doc/draft-cui-nmrg-llm-nm/) | [draft-irtf-nmrg-llm-nm](https://datatracker.ietf.org/doc/draft-irtf-nmrg-llm-nm/) |
| 37 | 0.946 | [draft-templin-manet-inet](https://datatracker.ietf.org/doc/draft-templin-manet-inet/) | [draft-templin-manet-inet-omni](https://datatracker.ietf.org/doc/draft-templin-manet-inet-omni/) |
| 38 | 0.942 | [draft-zl-agents-networking-architecture](https://datatracker.ietf.org/doc/draft-zl-agents-networking-architecture/) | [draft-zl-agents-networking-framework](https://datatracker.ietf.org/doc/draft-zl-agents-networking-framework/) |
| 39 | 0.936 | [draft-mozleywilliams-dnsop-bandaid](https://datatracker.ietf.org/doc/draft-mozleywilliams-dnsop-bandaid/) | [draft-mozleywilliams-dnsop-dnsaid](https://datatracker.ietf.org/doc/draft-mozleywilliams-dnsop-dnsaid/) |
| 40 | 0.935 | [draft-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-pocero-authkem-edhoc/) | [draft-pocero-authkem-ikr-edhoc](https://datatracker.ietf.org/doc/draft-pocero-authkem-ikr-edhoc/) |
| 41 | 0.934 | [draft-lake-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-lake-pocero-authkem-edhoc/) | [draft-spm-lake-pqsuites](https://datatracker.ietf.org/doc/draft-spm-lake-pqsuites/) |
| 42 | 0.933 | [draft-lake-pocero-authkem-ikr-edhoc](https://datatracker.ietf.org/doc/draft-lake-pocero-authkem-ikr-edhoc/) | [draft-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-pocero-authkem-edhoc/) |
| 43 | 0.932 | [draft-zhang-rtgwg-ai-agents-measurement](https://datatracker.ietf.org/doc/draft-zhang-rtgwg-ai-agents-measurement/) | [draft-zhang-rtgwg-ai-agents-troubleshooting](https://datatracker.ietf.org/doc/draft-zhang-rtgwg-ai-agents-troubleshooting/) |
| 44 | 0.931 | [draft-lake-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-lake-pocero-authkem-edhoc/) | [draft-pocero-authkem-ikr-edhoc](https://datatracker.ietf.org/doc/draft-pocero-authkem-ikr-edhoc/) |
| 45 | 0.930 | [draft-lake-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-lake-pocero-authkem-edhoc/) | [draft-lake-pocero-authkem-ikr-edhoc](https://datatracker.ietf.org/doc/draft-lake-pocero-authkem-ikr-edhoc/) |
| 46 | 0.930 | [draft-pocero-authkem-edhoc](https://datatracker.ietf.org/doc/draft-pocero-authkem-edhoc/) | [draft-spm-lake-pqsuites](https://datatracker.ietf.org/doc/draft-spm-lake-pqsuites/) |
| 47 | 0.925 | [draft-scim-agent-extension](https://datatracker.ietf.org/doc/draft-scim-agent-extension/) | [draft-wahl-scim-agent-schema](https://datatracker.ietf.org/doc/draft-wahl-scim-agent-schema/) |
| 48 | 0.921 | [draft-abbey-scim-agent-extension](https://datatracker.ietf.org/doc/draft-abbey-scim-agent-extension/) | [draft-wahl-scim-agent-schema](https://datatracker.ietf.org/doc/draft-wahl-scim-agent-schema/) |
| 49 | 0.918 | [draft-zl-agents-networking-architecture](https://datatracker.ietf.org/doc/draft-zl-agents-networking-architecture/) | [draft-zlgsgl-rtgwg-agents-networking-framework](https://datatracker.ietf.org/doc/draft-zlgsgl-rtgwg-agents-networking-framework/) |
| 50 | 0.906 | [draft-agent-gw](https://datatracker.ietf.org/doc/draft-agent-gw/) | [draft-li-dmsc-inf-architecture](https://datatracker.ietf.org/doc/draft-li-dmsc-inf-architecture/) |
## Per-Category Internal Overlap
| Category | Drafts | Avg Pairwise Sim | Most Similar Pair |
|----------|-------:|-----------------:|-------------------|
| A2A protocols | 92 | 0.758 | rosenberg-aiproto / rosenberg-aiproto-nact (0.999) |
| AI safety / guardrails / alignment | 1 | — | — |
| AI safety/alignment | 36 | 0.765 | rosenberg-aiproto-cheq / rosenberg-cheq (0.994) |
| Agent discovery / registration | 14 | 0.779 | campbell-agentic-http / narvaneni-agent-uri (0.863) |
| Agent discovery/reg | 57 | 0.759 | rosenberg-aiproto / rosenberg-aiproto-nact (0.999) |
| Agent identity/auth | 98 | 0.740 | lake-pocero-authkem-ikr-e / pocero-authkem-ikr-edhoc (0.999) |
| Agent-to-agent communication protocols | 16 | 0.785 | campbell-agentic-http / narvaneni-agent-uri (0.863) |
| Autonomous netops | 60 | 0.745 | ahn-nmrg-5g-security-i2ns / ahn-opsawg-5g-security-i2 (0.997) |
| Autonomous network operations | 5 | 0.785 | zhang-agent-gap-network / zhang-rtgwg-ai-agents-tro (0.826) |
| Data formats / semantics for AI interop | 3 | 0.801 | liu-agent-context-protoco / narvaneni-agent-uri (0.814) |
| Data formats/interop | 102 | 0.715 | rosenberg-aiproto / rosenberg-aiproto-nact (0.999) |
| Human-agent interaction | 22 | 0.739 | rosenberg-aiproto-cheq / rosenberg-cheq (0.994) |
| Identity / authentication for AI agents | 13 | 0.784 | chen-agent-decoupled-auth / song-oauth-ai-agent-autho (0.882) |
| ML traffic mgmt | 23 | 0.739 | tong-network-agent-use-ca / yu-dmsc-ai-agent-use-case (0.892) |
| ML-based traffic management / optimization | 1 | — | — |
| Model serving/inference | 13 | 0.733 | gaikwad-llm-benchmarking- / gaikwad-llm-benchmarking- (0.959) |
| Other AI/agent | 21 | 0.709 | ietf-httpbis-layered-cook / ietf-httpbis-rfc6265bis (0.988) |
| Policy / governance / ethical frameworks | 2 | 0.882 | chen-agent-decoupled-auth / song-oauth-ai-agent-autho (0.882) |
| Policy/governance | 60 | 0.737 | ahn-nmrg-5g-security-i2ns / ahn-opsawg-5g-security-i2 (0.997) |
## Category Cross-Overlap
Average similarity between drafts in different categories.
| |A2A protoc | AI safety | AI safety/ | Agent disc | Agent disc | Agent iden | Agent-to-a | Autonomous | Autonomous | Data forma | Data forma | Human-agen | Identity / | ML traffic | ML-based t | Model serv | Other AI/a | Policy / g | Policy/gov |
|-|---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
| **A2A protocol** | 0.76 | 0.75 | 0.74 | 0.77 | 0.76 | 0.73 | 0.77 | 0.74 | 0.76 | 0.77 | 0.73 | 0.74 | 0.76 | 0.73 | 0.74 | 0.71 | 0.72 | 0.75 | 0.74 |
| **AI safety / ** | | 0.00 | 0.78 | 0.77 | 0.75 | 0.76 | 0.76 | 0.71 | 0.73 | 0.75 | 0.72 | 0.75 | 0.78 | 0.70 | 0.72 | 0.69 | 0.71 | 0.88 | 0.76 |
| **AI safety/al** | | | 0.76 | 0.76 | 0.74 | 0.75 | 0.75 | 0.71 | 0.73 | 0.75 | 0.73 | 0.74 | 0.77 | 0.71 | 0.72 | 0.70 | 0.71 | 0.78 | 0.75 |
| **Agent discov** | | | | 0.78 | 0.77 | 0.74 | 0.78 | 0.74 | 0.77 | 0.78 | 0.74 | 0.75 | 0.78 | 0.74 | 0.76 | 0.71 | 0.73 | 0.76 | 0.75 |
| **Agent discov** | | | | | 0.76 | 0.73 | 0.77 | 0.74 | 0.76 | 0.77 | 0.73 | 0.74 | 0.76 | 0.73 | 0.75 | 0.71 | 0.72 | 0.75 | 0.74 |
| **Agent identi** | | | | | | 0.74 | 0.74 | 0.71 | 0.72 | 0.73 | 0.72 | 0.73 | 0.75 | 0.70 | 0.71 | 0.69 | 0.71 | 0.76 | 0.73 |
| **Agent-to-age** | | | | | | | 0.79 | 0.75 | 0.78 | 0.79 | 0.74 | 0.75 | 0.78 | 0.75 | 0.77 | 0.72 | 0.73 | 0.76 | 0.75 |
| **Autonomous n** | | | | | | | | 0.74 | 0.76 | 0.73 | 0.71 | 0.72 | 0.73 | 0.74 | 0.76 | 0.71 | 0.72 | 0.71 | 0.72 |
| **Autonomous n** | | | | | | | | | 0.79 | 0.78 | 0.73 | 0.74 | 0.76 | 0.75 | 0.79 | 0.72 | 0.73 | 0.73 | 0.73 |
| **Data formats** | | | | | | | | | | 0.80 | 0.74 | 0.75 | 0.77 | 0.74 | 0.76 | 0.71 | 0.73 | 0.76 | 0.74 |
| **Data formats** | | | | | | | | | | | 0.72 | 0.72 | 0.74 | 0.71 | 0.72 | 0.70 | 0.71 | 0.73 | 0.72 |
| **Human-agent ** | | | | | | | | | | | | 0.74 | 0.75 | 0.72 | 0.73 | 0.71 | 0.72 | 0.76 | 0.74 |
| **Identity / a** | | | | | | | | | | | | | 0.78 | 0.73 | 0.75 | 0.71 | 0.73 | 0.79 | 0.76 |
| **ML traffic m** | | | | | | | | | | | | | | 0.74 | 0.75 | 0.73 | 0.71 | 0.71 | 0.71 |
| **ML-based tra** | | | | | | | | | | | | | | | 0.00 | 0.73 | 0.73 | 0.72 | 0.72 |
| **Model servin** | | | | | | | | | | | | | | | | 0.73 | 0.70 | 0.69 | 0.70 |
| **Other AI/age** | | | | | | | | | | | | | | | | | 0.71 | 0.71 | 0.71 |
| **Policy / gov** | | | | | | | | | | | | | | | | | | 0.88 | 0.77 |
| **Policy/gover** | | | | | | | | | | | | | | | | | | | 0.74 |
## Most Unique Drafts (max similarity < 0.70)
No drafts with max similarity below 0.70.

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# IETF AI/Agent Drafts Timeline
*Generated 2026-02-28 10:27 UTC — 260 drafts across 9 months*
## Monthly Submission Volume
```
2025-06 | # 2
2025-07 | ## 4
2025-08 | ### 7
2025-09 | ##### 10
2025-10 | ########################### 50
2025-11 | ############################ 51
2025-12 | ####### 13
2026-01 | ############################ 51
2026-02 | ######################################## 72
```
## Category Breakdown by Month
| Month | A2A protocol | AI safety / | AI safety/al | Agent discov | Agent discov | Agent identi | Agent-to-age | Autonomous n | Autonomous n | Data formats | Data formats | Human-agent | Identity / a | ML traffic m | ML-based tra | Model servin | Other AI/age | Policy / gov | Policy/gover | Total |
|---------|------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | ------------- | -----:|
| 2025-06 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| 2025-07 | 2 | 0 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
| 2025-08 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 7 |
| 2025-09 | 3 | 0 | 2 | 0 | 2 | 2 | 0 | 4 | 0 | 0 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 10 |
| 2025-10 | 22 | 0 | 5 | 2 | 13 | 23 | 2 | 12 | 0 | 1 | 24 | 6 | 1 | 4 | 0 | 2 | 5 | 0 | 7 | 50 |
| 2025-11 | 19 | 0 | 7 | 2 | 15 | 19 | 3 | 14 | 1 | 0 | 21 | 7 | 2 | 6 | 0 | 3 | 2 | 0 | 10 | 51 |
| 2025-12 | 2 | 0 | 3 | 1 | 2 | 7 | 0 | 3 | 0 | 0 | 4 | 0 | 1 | 1 | 0 | 1 | 2 | 0 | 4 | 13 |
| 2026-01 | 12 | 0 | 7 | 7 | 8 | 14 | 9 | 9 | 4 | 2 | 15 | 2 | 4 | 6 | 1 | 4 | 3 | 1 | 12 | 51 |
| 2026-02 | 31 | 1 | 11 | 2 | 16 | 27 | 2 | 15 | 0 | 0 | 26 | 5 | 5 | 6 | 0 | 3 | 7 | 1 | 21 | 72 |
## Trends
- **AI safety / guardrails / alignment**: new (0 → 1 drafts)
- **Agent discovery / registration**: new (0 → 14 drafts)
- **Agent-to-agent communication protocols**: new (0 → 16 drafts)
- **Autonomous network operations**: new (0 → 5 drafts)
- **Data formats / semantics for AI interop**: new (0 → 3 drafts)