mirror of
https://github.com/allaunthefox/Research-Stack.git
synced 2026-08-13 02:30:34 +00:00
679945c1a0
Cross-referenced against our prover orchestration layers: - Plan-Execute-Verify-Replan ↔ L0-L3 pipeline - Agents as specialists ↔ 11-agent swarm - Guardrails ↔ ProverWatchdog - Sandbox testing ↔ Virtual FPGA tests - Trajectory-aware eval ↔ BFS audit trail 5 gaps identified, 4 strengths confirmed
16 lines
1.2 KiB
Text
16 lines
1.2 KiB
Text
created: 20260507000000000
|
|
modified: 20260507000000000
|
|
tags: ResearchStack TSM Eigenvector Math
|
|
title: Semantic Eigenvector Bundle
|
|
type: text/vnd.tiddlywiki
|
|
|
|
! Semantic Eigenvector Bundle
|
|
|
|
The eigenvector pipeline maps mathematical equations and manifold states to topological eigenvectors. Key scripts: `5-Applications/scripts/find_equation_eigenvectors.py` (discovers equation eigenvectors), `5-Applications/scripts/neural_type_eigenvector_coverage.py` (coverage analysis of neural-type eigenvectors), `5-Applications/scripts/eigenvector_tsm_hyperfluid.py` (hyperfluid TSM eigenvector evolution). Output data includes `3-Mathematical-Models/eigenvector_tsm/eigenvector_hyperfluid_150_steps.json` and `3-Mathematical-Models/hutter_eigenvector/hutter_eigenvector_150_steps.json`. Integrates with the [[Topological State Machine]] and [[FAMM Fast Approximate Manifold Map]] for caching eigenvector trajectories. The Hutter eigenvector variant applies this to compression-oriented manifold analysis, feeding into the [[Hutter Prize Compression]] pipeline.
|
|
|
|
!! Links
|
|
|
|
* [[Topological State Machine]]
|
|
* [[FAMM Fast Approximate Manifold Map]]
|
|
* [[Hutter Prize Compression]]
|
|
* [[Morphic DSP]]
|