PM-KR Community Group Now Open - Major Updates & 103+ Cross-Disciplinary Connections

Dear W3C Community and Collaborators,
**Exciting Update**: The **Procedural Memory Knowledge Representation 
(PM-KR) Community Group**is now **OPEN**and accepting members!
🔗 **Join Now**: https://www.w3.org/community/pm-kr/ 
<https://www.w3.org/community/pm-kr/>
📢 **Official Announcement**: 
https://www.w3.org/community/blog/2026/02/20/proposed-group-procedural-memory-knowledge-representation-community-group/
Since our initial invitation, we've made significant progress and 
discovered deeper connections across **103+ cross-disciplinary domains 
spanning 586 years**(1440-2026) — far beyond the scope we initially 
realized.
## Major Updates Since Initial Call
### 1. Founding Members & Early Collaboration
**Seven founding members**have already joined, bringing world-class 
expertise:
-**Milton Ponson**(Mathematician) → Godelian critique of LLM scaling, 
Domains of Discourse framework
-**Manu Sporny**(JSON-LD co-creator, Digital Bazaar CTO) → CBOR-LD 
compression, procedural canonicalization
-**Adam Sobieski**→ WICG #188 (5-year-old stateful procedural execution 
proposal), audit message schema
-**Jonathan DeRouchie**→ Persistent memory AI architecture, 
public/private knowledge separation
-**Nitin Pasumarthy**(LinkedIn LLM/GNN) → Production-scale systems 
perspective
-**Hanna Abi Akl**→ W3C Community Group expertise
-**OpenFn Organization**→ Real-world validation (40+ countries, 10M+ 
transactions/year, governments/NGOs/healthcare)
**External Collaborators**:
-**Marko Rodriguez**(Apache TinkerPop founder, Gremlin creator) → Graph 
traversal expertise
-**José Vázquez-Jaramillo**(Philosopher) → Philosophical grounding and 
epistemology
### 2. Biological Inspiration: Hippocampus-Inspired Spatial Memory
PM-KR's architecture draws directly from **biological cognition**:
**Hippocampus (neuroscience)**:
-Spatial navigation (place cells, grid cells)
-Episodic memory formation
-Spatial mapping of abstract concepts
-Memory consolidation (hippocampus → cortex during sleep)
**PM-KR Computational Analogue**:
-Spatial navigation (3D knowledge workspace)
-Episodic memory (Audit Journal: "at point X during Y, observed Z")
-Spatial mapping (concepts positioned in 3D Galaxy)
-Memory consolidation (SleepTime protocol: <10ms for 51K nodes)
**Why This Matters**: Humans evolved with hippocampus-based spatial 
cognition. AI using the same spatial structure creates a natural 
interface for human oversight and explainability.
### 3. Robotic Embodiment: "Without Effort"
PM-KR's spatial architecture enables **physical robots without 
robot-specific training**:
-Hardware-agnostic avatar abstraction (human VR, AI agent, or physical 
robot use same code)
-Form→Meaning bridge (sensors → semantic Galaxy → RPN actions → actuators)
-SLAM integration (physical space becomes navigable knowledge workspace)
-Zero additional training required ("same architecture, different 
actuators")
### 4. Multimodal Explanation for Human Oversight
PM-KR enables **multimodal narrative**for AI/robot transparency:
-**Natural language narration**(Galaxy introspection mode: "I'm 
considering safety constraint X at position A...")
-**Procedural video generation**(200:1 compression vs. traditional video)
-**Structured audit logs**(machine-verifiable + human-readable)
-**3D visualization**(humans walk through AI's "memory palace")
-**Explainable reasoning**(trace decisions back to procedural sources)
### 5. Comprehensive Cross-Disciplinary Synthesis
We've documented **103+ distinct connections**across fields:
-**Longest time gap**: 586 years (Gutenberg Press 1440 → PM-KR 2026)
-**20+ fields connected**: Typography, GPU computing, game industry, 
robotics, neuroscience, accessibility, spatial data, video compression, 
carbon impact, philosophy, mathematics
-**Rarity estimate**: Top 0.001-0.01% (1 in 10,000 to 1 in 100,000) for 
cross-disciplinary thinking at this scale
**Documentation**: See INTERCONNECTEDNESS_MAP v3.0 in the Knowledge3D 
repository docs folder for complete attribution.
## Why This Matters to ALL Your Groups
### 🎨 **For GPU for the Web (WebGPU) Community**
**Sovereign GPU-Native Execution**: PM-KR runs entirely in PTX (CUDA) 
kernels with zero external dependencies in the hot path. This 
demonstrates GPU-first knowledge representation where procedural 
programs execute natively on GPU without CPU preprocessing. Relevant for 
WebGPU compute shaders and persistent GPU state patterns.
### 🌍 **For Spatial Data on the Web Community**
**3D Spatial Knowledge Navigation**: PM-KR extends spatial data concepts 
to knowledge representation—semantic proximity = spatial proximity in 3D 
workspace. Inspired by the hippocampus, this enables humans and AI to 
navigate knowledge spatially. Relevant for geospatial data 
visualization, 3D web standards, and spatial query patterns.
### 📚 **For Publishing & Math on the Web Communities**
**Procedural Typography & Mathematical Symbols**: PM-KR stores fonts as 
procedural programs (2,713 fonts, 168,206 glyph-text pairs) and 
mathematical symbols as RPN templates. This eliminates duplication 
across font formats, accessibility metadata, and visual renderings. One 
procedural source → multiple client modalities (visual, semantic, tactile).
### 🔍 **For Distributed Tracing Community**
**Procedural Execution Audit Trail**: PM-KR's Audit Journal traces every 
procedural execution step: "at point X during procedure Y, observed Z." 
This provides distributed tracing for knowledge operations with temporal 
metadata, sovereignty validation, and human-readable 
explanations—bridging observability and explainability.
### ⚡ **For Web Performance Community**
**Extreme Compression & Carbon Impact**: PM-KR achieves 200:1 to 1000:1 
compression through procedural canonicalization (symlink-style 
references, not duplication). **Carbon impact**: Projected 2.2 Gt 
CO₂e/year savings by 2035 (6% of global emissions) through Universal 
Display Stack compression for video/3D rendering.
### 🔐 **For Verifiable Credentials & Solid Communities**
**Sovereign Audit + Decentralized Trust**: PM-KR's sovereignty principle 
(zero external dependencies) aligns with decentralized identity and 
verifiable credentials. Procedural canonicalization enables 
content-addressed knowledge with cryptographic provenance. Audit Journal 
provides tamper-evident execution logs for trust without centralization.
### 🔗 **For JSON-LD & RDF/Semantic Web Communities** (Update)
**Procedural Canonicalization Progress**: Early collaboration with Manu 
Sporny (JSON-LD co-creator) on CBOR-LD compression and procedural 
canonicalization. PM-KR complements RDF/JSON-LD by providing executable 
semantics while maintaining bidirectional mapping strategies. **New 
ground**: Symlink-style composition for knowledge graphs reduces 
redundancy while preserving semantic fidelity.
### 🎭 **For Immersive Web (WebXR) Community** (Update)
**Spatial Knowledge in XR**: PM-KR extends glTF's `extras.k3d`field to 
encode spatial knowledge in 3D assets. **New capability**: Dual-client 
reality where humans (VR headset) and AI agents (Galaxy introspection) 
navigate the same 3D knowledge workspace. Hippocampus-inspired 
architecture makes spatial navigation natural for both.
### ♿ **For Web Accessibility (WAI) Community** (Update)
**Multimodal Accessibility from Single Source**: PM-KR's procedural 
sources render across modalities—visual glyphs (sighted users), semantic 
descriptions (screen readers), tactile patterns (braille displays)—all 
from the same canonical procedure. **No dual-maintenance overhead**. 
Multimodal explanation enables AI systems to narrate their reasoning for 
assistive technologies.
### 🤖 **For AI & Machine Learning Communities** (Update)
**AI Knowledge Representation Integration**: PM-KR directly addresses AI 
explainability, sovereignty, and multi-modal reasoning:
-**Compression without information loss**: Symlink composition, not 
black-box embeddings
-**Sovereign execution**: Zero external dependencies (critical for AI 
inference)
-**Explainability**: Procedural sources are auditable (trace back to 
canonical definitions)
-**Multi-modal reasoning**: Unified workspace for visual, spatial, 
symbolic, procedural knowledge
-**Human-in-loop oversight**: Multimodal narrative enables effective 
human supervision
### 🕸️ **For Knowledge Graph Communities** (Update)
**Graph Compression + Procedural Execution**: PM-KR complements property 
graphs and RDF with **procedural canonicalization**—storing graph 
patterns as reusable procedures (not duplicating structure). **New 
collaboration**: Marko Rodriguez (Apache TinkerPop founder, Gremlin 
creator) as repository collaborator brings graph traversal expertise to 
procedural composition patterns.
### 🧠 **For Cognitive AI Community** (Update)
**Hippocampus-Inspired Cognitive Architecture**: PM-KR's spatial memory 
architecture mirrors biological hippocampus functions (episodic memory, 
spatial mapping, memory consolidation). This enables cognitive AI 
systems to use the same spatial substrate for both temporary reasoning 
state and long-term knowledge—just like biological brains.
## How This Scales: 103+ Connections Across 22 Synthesis Chains
PM-KR synthesizes contributions from:
-**Foundational Infrastructure**(20 entities): Debian, NVIDIA CUDA, 
2,713 fonts, KDE Plasma
-**AI Partnership**(11 partners): OpenAI, Anthropic, xAI, DeepSeek, 
Alibaba Qwen, Google, Perplexity
-**Game Industry Techniques**(repurposed for AI): LOD, FOV, spatial 
indexing, procedural generation
-**Research Foundations**: ARC-AGI, DeepSeek-OCR, RLWHF evaluation
-**W3C Standardization**: 6 founding members, Ian Jacobs (W3C Head of 
Communications) editorial guidance
-**Theoretical Foundations**: Gödel, Turing, Rice's Theorem, Apollo 11 
AGC engineering
-**Lexical Resources**: Universal Dependencies, WordNet, Lexique382
-**Procedural Display Ecosystem**: TrueType fonts, video codecs (H.264, 
AV1, M3-CVC), Vulkan, WebRender
-**Carbon Impact Philosophy**: Gutenberg Press (1440) → Aaron Swartz → 
K3D (NO PATENTS, APACHE 2.0)
-**Mathematical Impossibility**: Grounding in undecidability (Gödel, 
Halting Problem, Rice's Theorem)
**Full documentation**: INTERCONNECTEDNESS_MAP v3.0, 
ROBOTIC_EMBODIMENT_SPECIFICATION.md, KNOWLEDGEVERSE_SPECIFICATION.md 
(all in Knowledge3D docs folder in the repository)
## How to Participate
**Join the Community Group**: https://www.w3.org/community/pm-kr/
-Free W3C account required (create at https://www.w3.org/accounts/request)
-No membership fees, open participation
-Public mailing list (public-pm-kr@w3.org, once launched), GitHub 
repositories, monthly meetings
**Contribute to the Discussion**:
-Review specifications (INTERCONNECTEDNESS_MAP v3.0, 
KNOWLEDGEVERSE_SPECIFICATION.md)
-Share feedback and use cases from your domain
-Participate in interoperability studies (RDF/OWL/JSON-LD mapping, 
WebGPU execution, spatial data integration)
-Help shape conformance levels and test suites
-Collaborate on carbon impact assessment (Web Performance + PM-KR 
compression)
**For Implementers**:
-Explore procedural canonicalization patterns
-Test bidirectional mapping (RDF ↔ PM-KR, glTF ↔ PM-KR, Trace Context ↔ 
Audit Journal)
-Validate compression claims (200:1-1000:1 ratios)
-Contribute to sovereign execution patterns (zero external dependencies)
**Motivation and Prior Work**:
This group is motivated by prior work on Knowledge3D 
(https://github.com/danielcamposramos/Knowledge3D), and that work may 
inform the group's discussions. That work does not constrain the group's 
discussions, nor will it be a deliverable of this group. We welcome 
alternative implementations and approaches!
## Timeline and Next Steps
**NOW**: PM-KR Community Group is OPEN for participation
**February-March 2026**: Public comment period, gather use cases from 
all domains
**April 2026**: First working sessions on data models and execution 
semantics
**Q2 2026**: Interoperability studies (RDF/JSON-LD mapping, WebGPU 
integration, spatial data standards)
**Q3-Q4 2026**: Draft specifications (procedural composition, audit 
journal, conformance levels)
**Potential Outputs**(subject to group consensus):
-Data model specification (procedural composition, symlink references, 
content-addressing)
-Execution semantics (dual-client rendering, canonical procedures, 
sovereign runtime)
-Audit & tracing specification (temporal metadata, provenance, 
explainability)
-Compression guidelines (procedural canonicalization, carbon impact 
assessment)
-Interoperability guidelines (RDF/OWL/JSON-LD, WebGPU compute, glTF 
extensions, Trace Context)
-Accessibility specification (multimodal rendering from procedural sources)
-Use case documentation (accessibility, XR, knowledge graphs, AI 
systems, robotics, spatial data)
## Contact and Resources
**Join**: https://www.w3.org/community/pm-kr/
**Mailing List**(once CG launches): public-pm-kr@w3.org
**Repository**: https://github.com/danielcamposramos/Knowledge3D
**Key Specifications**:
-INTERCONNECTEDNESS_MAP_v3.md (103+ connections)
-ROBOTIC_EMBODIMENT_SPECIFICATION.md (hippocampus-inspired spatial memory)
-KNOWLEDGEVERSE_SPECIFICATION.md (7-region unified memory architecture)
**Questions?**Reply to this email or contact:
Daniel Ramos
daniel@echosystems.ai
Founder, Knowledge3D Project
Proposed Chair, PM-KR Community Group
## Why Join? The Opportunity
-**Unprecedented scope**: 103+ cross-disciplinary connections (top 
0.001-0.01% rarity)
-**Biological grounding**: Hippocampus-inspired architecture (natural 
for human cognition)
-**Real-world validation**: OpenFn (40+ countries, 10M+ transactions/year)
-**World-class collaboration**: JSON-LD co-creator, Apache TinkerPop 
founder, WICG contributors
-**Carbon impact**: Projected 2.2 Gt CO₂e/year savings (6% global emissions)
-**Multimodal future**: One procedural source → visual, semantic, 
spatial, tactile, auditory modalities
-**Sovereign execution**: Zero external dependencies (privacy, 
performance, carbon)
-**Open collaboration**: No patents, public mailing lists, transparent 
decision-making
-**Cross-domain impact**: Work that benefits GPU computing, 
accessibility, XR, knowledge graphs, AI, robotics, spatial data, 
performance, and trust—simultaneously
**Philosophy**: We patent nothing. We publish everything. We build in 
the open.
---
## Recipient Groups (16 Total)
**W3C Groups**(send to all mailing lists):
1.(Cognitive AI)
2.(Knowledge Graph Construction)
3.(Web Machine Learning)
4.(AI Knowledge Representation)
5.(Semantic Web)
6.(Web Accessibility Initiative)
7.(Immersive Web/WebXR)
8.(JSON-LD)
9.(GPU for the Web)
10.(Spatial Data on the Web)
11.(Publishing)
12.(Math on the Web)
13.(Distributed Tracing)
14.(Web Performance)
15.(Verifiable Credentials)
16.(Solid - Decentralization)
**Individual Collaborators**:
-(Marko Rodriguez - Apache TinkerPop)
-(Milton Ponson - Mathematician - already member and co-chair)
-(Manu Sporny - already member)
-(Adam Sobieski - already member)
-(Jonathan DeRouchie - already member)
-(José Vázquez-Jaramillo - Philosopher)
I look forward to collaborating with all of you on this groundbreaking work!
Best regards,
Daniel Ramos
Founder, Knowledge3D Project
Proposed Chair, PM-KR Community Group
daniel@echosystems.ai
https://github.com/danielcamposramos/Knowledge3D