feat: ML-DSA-65, did:key, named hash algorithm, model provenance, log tiles and witnesses
- hashing.algorithm names the hash function in every document; a consumer refuses one it does not implement (doc.hash.algorithm) - ML-DSA-65 (FIPS 204) is an implemented signature scheme: pure-Python reference in tools/oracle/mldsa.py checked against NIST ACVP vectors, a receipt signed by the new roster key dana, and signature vectors for key generation and a deterministic signature - roster keys may carry a did:key, which the validator checks against the public key (doc.roster.did), and a witness purpose for parties that cosign log checkpoints - model provenance: a correction's author and an annotation's generator name the model with provider, version and the hashes of its weights, prompt and parameters, and where it ran - the transparency log gains the tlog-tiles static layout (fixtures/records/log/), a project settings.log with origin, witnesses and threshold, and an acceptance rule; the fixture checkpoint is cosigned by a witness - store.sql: roster_keys accepts cose and ml-dsa-65 and gains a did column - spec chapters 01, 08, 11, 18, 20 and 23, the rationale, glossary, fixture, vector and tool guides updated; stress harness covers ML-DSA Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
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@@ -144,3 +144,12 @@ def _exact(value):
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def dumpb(value):
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"""Canonical JSON as UTF-8 bytes."""
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return dumps(value).encode("utf-8")
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def loads_line(data):
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"""Parse one canonical JSON line of bytes, refusing a line that is not canonical."""
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import json as _json
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value = _json.loads(data.decode("utf-8"))
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if dumpb(value) != data:
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raise ValueError("not canonical JSON")
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return value
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