mirror of
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6 key concepts formalized: - Radius-ratio rule → admissible motif classifier (CN3-8 thresholds) - Pidgen-hole theory → typed hole + residual codec - S3C shell coordinates → n=k²+a with throat/mirror/mass - Spherion shaping → pyramid protrusions/voids as compression teeth - S_n(n^n) → Matryoshka shell with latent combinatorial interior - Observer-Admissible Cavities → touch-manifesting lazy holes 7 cross-references to existing modules, 4 new primitives identified. 7 keeper phrases preserved.
25 lines
963 B
Text
25 lines
963 B
Text
created: 20260507000000000
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modified: 20260507000000000
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tags: ResearchStack Swarm Learning Agents Training
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title: Swarm Learning Resources Index
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type: text/vnd.tiddlywiki
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! Swarm Learning Resources Index
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Index of swarm agent learning resource documents found in ingest. These are comprehensive guides generated by ChatGPT for training swarm agents on specific technical domains:
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* Comprehensive Physics and Engineering Learning Guide for Swarm (38KB)
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* Comprehensive Technical Standards Learning Resource for Swarm Agents (27KB)
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* Digital Platforms Learning Resource for Swarm Agents (24KB)
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* Internet Protocols Learning Resource for Swarm Agents (23KB)
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* GPU Optimization Guide for Swarm Learning (13KB)
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* ISO Standards Learning Resource for Swarm Agents (11KB)
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* Biological Systems Learning Guide for Swarm (9KB)
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All located in `/home/allaun/Documents/ingest/`.
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!! Links
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* [[Swarm ENE Middleware]]
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* [[Data Ingestion Pipeline]]
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* [[Semantic Graph Mining]]
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