# Master Statistics — Updated 2026-03-03 (Full 361-Draft Corpus)

All numbers below reflect the complete 361-draft dataset after pipeline run on 101 new drafts.

## Core Numbers

| Stat | Value | Notes |
|------|-------|-------|
| Total drafts | 361 | up from 260 after keyword expansion |
| Total authors | 557 | up from 403 |
| Total organizations | 230 | up from 184 |
| Total ideas (raw) | 1,780 | up from 1,262 (~4.9/draft avg) |
| Unique idea clusters | 1,467 | after fuzzy dedup |
| Cross-org ideas (2+ orgs) | 130 | 36% of unique clusters (current 419-idea extraction); earlier 1,780-idea run yielded 628 — LEAD METRIC |
| Total gaps | 12 | 3 critical, 6 high, 3 medium |
| Total embeddings | 361 | all drafts embedded |
| WG-adopted drafts | 36 (10.0%) | 18 WGs |
| Individual drafts | 325 (90.0%) | |
| RFC cross-references | 4,231 | 2,443 RFC + 698 draft + 1,090 BCP |
| Avg novelty | 3.32 | (1-5 scale) |
| Avg maturity | 2.96 | |
| Avg relevance | 3.84 | |

## Growth Curve (Monthly Submissions)

| Month | Drafts | Cumulative |
|-------|--------|------------|
| 2024-01 | 3 | 3 |
| 2024-02 | 1 | 4 |
| 2024-04 | 1 | 5 |
| 2024-09 | 2 | 7 |
| 2024-10 | 1 | 8 |
| 2024-12 | 1 | 9 |
| 2025-01 | 4 | 13 |
| 2025-04 | 5 | 18 |
| 2025-05 | 2 | 20 |
| 2025-06 | 5 | 25 |
| 2025-07 | 5 | 30 |
| 2025-08 | 8 | 38 |
| 2025-09 | 17 | 55 |
| 2025-10 | 67 | 122 |
| 2025-11 | 61 | 183 |
| 2025-12 | 16 | 199 |
| 2026-01 | 54 | 253 |
| 2026-02 | 86 | 339 |
| 2026-03 | 22 | 361 |

Peak: 86 drafts in Feb 2026. Growth from ~2/mo (mid-2024) to 86/mo = **43x acceleration**.

## Category Distribution (Full 361 Drafts)

| Category | Count | % |
|----------|-------|---|
| A2A protocols | 136 | 37.7% |
| Agent identity/auth | 121 | 33.5% |
| Autonomous netops | 98 | 27.1% |
| ML traffic mgmt | 74 | 20.5% |
| AI safety/alignment | 45 | 12.5% |
| Human-agent interaction | 30 | 8.3% |

Note: drafts can have multiple categories.

## Safety Ratio

- Safety drafts: 45 (12.5% of corpus)
- Capability drafts (any non-safety category): 351
- **Ratio: ~8:1 capability-to-safety**
- Improvement from original 4:1 (260 drafts) because keyword expansion brought in more ML infrastructure drafts, some with safety elements

## Keyword Expansion Impact (Original 260 vs New 101)

| Category | Original 260 | New 101 | Total |
|----------|-------------|---------|-------|
| Data formats/interop | 102 | 43 | 145 |
| A2A protocols | 92 | 28 | 120 |
| Agent identity/auth | 98 | 10 | 108 |
| Autonomous netops | 60 | 33 | 93 |
| Policy/governance | 60 | 31 | 91 |
| ML traffic mgmt | 23 | **50** | 73 |
| Agent discovery/reg | 57 | 8 | 65 |
| AI safety/alignment | 36 | 8 | 44 |
| Model serving/inference | 13 | **29** | 42 |
| Human-agent interaction | 22 | 8 | 30 |

**Key finding**: "ML traffic mgmt" and "Model serving/inference" surged with the new keywords — these categories more than doubled. The "inference" and "generative" keywords opened up the ML infrastructure community.

## Geopolitical Split

| Region | Drafts | Authors |
|--------|--------|---------|
| Chinese-affiliated | 152 | 218 |
| Western-affiliated | 94 | 81 |
| Other/Unclassified | 158 | 221 |

Chinese orgs contribute ~42% of drafts from ~39% of authors. Western orgs: ~26% of drafts from ~15% of authors.

## Idea Taxonomy (current: 419 ideas / 361 unique clusters / 130 cross-org; earlier run: 1,780 raw / 1,467 unique / 628 cross-org)

| Type | Count | % |
|------|-------|---|
| mechanism | 663 | 37.2% |
| architecture | 280 | 15.7% |
| pattern | 251 | 14.1% |
| protocol | 228 | 12.8% |
| requirement | 171 | 9.6% |
| extension | 168 | 9.4% |
| framework | 9 | 0.5% |
| other | 10 | 0.6% |

**IMPORTANT**: Use 130 cross-org ideas as the lead metric (from the current 419-idea extraction at 0.75 SequenceMatcher threshold). An earlier pipeline run with 1,780 raw ideas yielded 628 cross-org convergent ideas; the convergence *rate* (~36%) is consistent. The raw count is a pipeline artifact (~4.9/draft avg). See Post 5 data package for details.

## Top Organizations

| Org | Drafts | Authors | Composite Score |
|-----|--------|---------|-----------------|
| Huawei (all entities) | 57+ | 28+ | 3.1 |
| China Mobile | 35 | 24 | 3.2 |
| China Telecom | 23 | 22 | 3.0 |
| China Unicom | 22 | 22 | 3.0 |
| Cisco (all entities) | 25 | 19 | 3.4 |
| Tsinghua University | 16 | 13 | 3.5 |
| Telefonica | 13 | 2 | 3.2 |
| ZTE Corporation | 10 | 10 | 3.0 |
| Google | 10 | 4 | 3.3 |
| Five9 | 10 | 1 | 3.8 |
| Ericsson | 9 | 4 | 3.6 |

## Quality Leaders (Composite >= 3.5, min 3 drafts)

| Org | Drafts | Composite |
|-----|--------|-----------|
| Aiiva.org | 3 | 4.42 |
| AWS | 3 | 4.38 |
| Mozilla | 4 | 3.81 |
| Zhongguancun Lab | 6 | 3.81 |
| Five9 | 10 | 3.75 |
| Bitwave | 6 | 3.75 |
| Siemens | 5 | 3.75 |
| Inria | 4 | 3.70 |
| Ericsson | 9 | 3.59 |
| Nokia | 5 | 3.58 |
| Beijing Univ P&T | 4 | 3.57 |
| Tsinghua | 16 | 3.53 |
| Cisco Systems | 17 | 3.50 |

## WG Adoption

| WG | Drafts | Focus |
|----|--------|-------|
| lamps | 6 | PKI/certificates |
| lake | 5 | EDHOC/lightweight crypto |
| tls | 3 | TLS extensions |
| emu | 3 | EAP methods |
| sshm | 2 | SSH maintenance |
| httpbis | 2 | HTTP extensions |
| anima | 2 | Bootstrapping |
| aipref | 2 | AI preferences |
| ace | 2 | Auth for constrained envs |

19 of 36 WG drafts (53%) are in security/crypto WGs. Only 2 are in an agent-specific WG (aipref).

## Top 10 Highest-Scored Drafts

| Draft | Title | Composite |
|-------|-------|-----------|
| draft-aylward-daap-v2 | Distributed AI Accountability Protocol v2 | 4.75 |
| draft-ietf-lake-app-profiles | EDHOC Application Profiles | 4.75 |
| draft-cowles-volt | Verifiable Operations Ledger and Trace | 4.75 |
| draft-goswami-agentic-jwt | Secure Intent Protocol for Agents | 4.50 |
| draft-chang-agent-token-efficient | Token-efficient Data Layer for Agents | 4.50 |
| draft-birkholz-verifiable-agent-conversations | Verifiable Agent Conversations | 4.50 |
| draft-guy-bary-stamp-protocol | Secure Task-bound Agent Message Proof | 4.50 |
| draft-drake-email-tpm-attestation | Hardware Attestation for Email | 4.50 |
| draft-ietf-tls-ecdhe-mlkem | Post-quantum Hybrid Key Agreement | 4.50 |
| draft-ietf-hpke-hpke | Hybrid Public Key Encryption | 4.50 |

## Updated Gap List (12 gaps, refreshed)

### Critical (3)
1. **Agent Behavior Verification** — No mechanisms to verify agents actually behave according to declared policies
2. **Cross-Domain Agent Liability** — When agents cause harm across organizational boundaries, who's responsible?
3. **Human Override Protocols** — No standardized emergency override protocols for autonomous agents

### High (6)
4. **Agent Resource Exhaustion Protection** — No mechanisms to prevent agents from consuming excessive resources
5. **Agent-Generated Data Provenance** — Insufficient tracking of data origins as info flows between agents
6. **Agent Capability Degradation Handling** — No approach for detecting when agent capabilities degrade
7. **Multi-Agent Coordination Deadlocks** — Insufficient attention to preventing deadlock in multi-agent systems
8. **Agent Privacy Preservation** — Agents process sensitive data without adequate privacy protections
9. **Agent Firmware/Model Update Security** — Insufficient focus on secure update mechanisms

### Medium (3)
10. **Real-time Agent Debugging** — Missing protocols for debugging agents in production
11. **Cross-Protocol Agent Migration** — No mechanisms for migrating agent state between protocols
12. **Agent Energy Consumption Optimization** — Missing standards for energy-aware agent operation

## Most Referenced RFCs (Foundation Standards)

| RFC | Cited By | Subject |
|-----|----------|---------|
| RFC 2119 | 285 drafts | Key words (MUST, SHALL, etc.) |
| RFC 8174 | 237 drafts | Key words update |
| RFC 8446 | 42 drafts | TLS 1.3 |
| RFC 6749 | 36 drafts | OAuth 2.0 |
| RFC 9110 | 34 drafts | HTTP Semantics |
| RFC 8126 | 26 drafts | IANA Guidelines |
| RFC 8259 | 26 drafts | JSON |
| RFC 5280 | 22 drafts | X.509 PKI |
| RFC 7519 | 22 drafts | JWT |
| RFC 9052 | 20 drafts | CBOR Object Signing (COSE) |
