allaunthefox
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7d59ad5739
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docs: spectral codebook analysis of 250-equation corpus
Key findings:
- 190 distinguishable spectral states (7.57 bits/equation)
- Density-Lambda correlation: 0.9807 (near-perfect)
- Largest spectral gap: 4.88 at lambda=[11.68, 16.56]
- 7 natural clusters from gap-aware boundary detection
- Mid band (9 matrices, lambda=[0.67, 0.95]) is compression sweet spot
Raw data: data/spectral_codebook_raw.json (250 entries)
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2026-07-01 20:17:46 +00:00 |
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e6d5a0a8d4
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feat: README, CI pipeline, Dependabot config
- README.md: project overview, quick start, verification commands
- GitHub Actions: anti-smuggle entry gate runs on push (4 layers)
- Dependabot: ignore transitive dependencies (h11, opentelemetry, etc.)
- predictions JSON committed to data/ for CI reproducibility
- build_pist_matrices_250.py / build_manifold.py now default to data/
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2026-06-30 05:48:50 -05:00 |
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