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)
- Agent Behavior Verification — No mechanisms to verify agents actually behave according to declared policies
- Cross-Domain Agent Liability — When agents cause harm across organizational boundaries, who's responsible?
- Human Override Protocols — No standardized emergency override protocols for autonomous agents
High (6)
- Agent Resource Exhaustion Protection — No mechanisms to prevent agents from consuming excessive resources
- Agent-Generated Data Provenance — Insufficient tracking of data origins as info flows between agents
- Agent Capability Degradation Handling — No approach for detecting when agent capabilities degrade
- Multi-Agent Coordination Deadlocks — Insufficient attention to preventing deadlock in multi-agent systems
- Agent Privacy Preservation — Agents process sensitive data without adequate privacy protections
- Agent Firmware/Model Update Security — Insufficient focus on secure update mechanisms
Medium (3)
- Real-time Agent Debugging — Missing protocols for debugging agents in production
- Cross-Protocol Agent Migration — No mechanisms for migrating agent state between protocols
- 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) |