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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@@ -220,6 +220,34 @@
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},
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"stages": {
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"$ref": "common.schema.json#/$defs/key"
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},
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"log": {
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"type": "object",
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"description": "The project's transparency log (spec/23): its origin, the roster keys that witness it, and how many must cosign a checkpoint.",
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"properties": {
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"origin": {
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"type": "string",
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"pattern": "^[^\\n]+$",
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"minLength": 1
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},
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"witnesses": {
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"type": "array",
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"items": {
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"$ref": "common.schema.json#/$defs/key"
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},
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"uniqueItems": true
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},
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"threshold": {
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"type": "integer",
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"minimum": 0
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}
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},
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"required": [
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"origin",
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"witnesses",
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"threshold"
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],
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"additionalProperties": false
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}
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},
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"required": [],
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