Brandon Schneider e0118b4314 feat(pist): exact eigendecomposition, matrix diagnostics, 26-equation validation ... - pist-decompose: convergence proxy + symmetric/Laplacian/SVD spectrum - Crossing matrix now hash-derived (Q0_2), unique per equation - Validation: 26/26 unique matrices, 26/26 unique canonical hashes - Spectral features: rank(5), density(10), entropy(26), gap(26) - Classifier rules need labeled training data - pist_classify.py: full pipeline wrapper - validate_rrc_predictions.py: batch runner with diagnostics		2026-05-26 01:20:30 -05:00
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artifacts	Expand devcontainer with full Python stack, add MCP servers (Notion/AWS), strengthen Lean theorems	2026-05-19 01:52:14 -05:00
data	feat: eigensolid convergence proof + QC flagging tool + full pass/fail review	2026-05-14 00:04:08 -05:00
examples	Add adversarial duals 16D anchor pack	2026-05-17 15:47:38 -05:00
schemas	Add adversarial duals receipt schema	2026-05-17 15:11:34 -05:00
rrc_pist_exact_validation.json	feat(pist): exact eigendecomposition, matrix diagnostics, 26-equation validation	2026-05-26 01:20:30 -05:00