docs(proof): update hash + note cross-platform determinism gate
verify.py's published hash is now f8e76f21 (doppler excluded). Document that the proof reproduces bit-for-bit across Windows / two Linux hosts / the Azure CI runner, that the peak-normalized Doppler is excluded due to its cross-microarch argmax instability, and that a relative-tolerance check against a committed reference vector backs the five stable features.
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@ -78,11 +78,18 @@ random or mocked, the hash would not be reproducible.
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```bash
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python archive/v1/data/proof/verify.py
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# Expect: VERDICT: PASS
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# Pipeline hash: ca58956c1bbee8c46f1798b3d6b6f1f829aa5db90bba53e07177830eca429199
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# Pipeline hash: f8e76f21a0f9852b70b6d9dd5318239f6b20cbcb4cdd995863263cecdc446f7a
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```
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The published expected hash is committed at `archive/v1/data/proof/expected_features.sha256`.
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Run it on your machine; the hash must match bit-for-bit.
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Run it on your machine — it reproduces **bit-for-bit across platforms** (verified identical on
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Windows, two independent Linux hosts, and the GitHub Azure CI runner). For the one feature that
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*isn't* bit-stable — the peak-normalized Doppler spectrum, whose argmax flips under
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cross-microarchitecture FFT reordering — the proof excludes it from the hash and additionally
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checks every other feature against a committed reference vector within a strict relative tolerance
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(`expected_features_reference.npz`), so a genuine regression still fails while CPU-level float
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noise does not. Five features (amplitude mean/variance, phase difference, correlation matrix, and
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the FFT-based PSD) carry the deterministic proof.
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**On the "fake data" allegation specifically:** the reference signal is *deliberately
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synthetic* and **labels itself as such** — `archive/v1/data/proof/sample_csi_meta.json` says:
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