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ruv
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Per direction "remove the initial number, optimize for benchmark first" + "include witness chain capabilities for proof and repeatability analysis": - Empty board, no seeded numbers: ledger seeds to genesis only. Every result is a real scoring-pipeline witness; RuView gets no hand-entered baseline. - Real model scoring: aa_score_runner now loads predictions + an eval split (--split/--pred) and scores them through the real ruview_metrics pose harness — not just a synthetic fixture. Committed public smoke split (fixtures/smoke_*.json). - Witness chain: each score emits a witness = inputs_sha256 (binds it to the exact inputs) + proof_sha256 (cross-platform-stable score hash) + harness_version. - Repeatability analysis: --repeat N runs the harness N× and fails if it ever yields >=2 distinct proof hashes (16/16 identical locally). - Witness ledger: ledger/ledger_tools.py — append-only, hash-chained, tamper- evident (seed/append/verify); editing any past row breaks the chain. - CI gate extended: determinism + repeatability(16) + real-scoring smoke + ledger chain verify on every PR. Co-Authored-By: claude-flow <ruv@ruv.net>
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65 B
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2 lines
65 B
Plaintext
9c35e541d51f00998691b98948887ebca09b907d8eb29a113f97e792340456ba
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