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Claude
2813b0b96a
Full-protocol calibration on a GitHub-hosted runner: A/A false-positive 0/20, injected-5%-slowdown detection 20/20, per-session CIs transcribed with run provenance (artifacts expire; the md is the durable record). With the local-container anchor and gates running end-to-end on both targets in CI, all SPEC §5 Phase 1 exit criteria are met on free infrastructure. CLAUDE.md phase line moved to Phase 2 (agent); dedicated pinned hardware remains listed in docs/infra.md as the bar for Phase 3/4 customer-facing case studies. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01EcKPWQ3MQD4NdEHwar96u2
results/calibration/
Evidence for the bench-runner acceptance criteria (SPEC §3.1):
- A/A self-tests: same binary as both sides must yield a null verdict; false-positive rate < 5% across sessions.
- Regression injection: a synthetic 5% slowdown must be detected ≥ 95% of the time.
One JSON file per calibration session, including the full env fingerprint. These files are the license to trust every number the system reports afterward; they are referenced from case studies and ROI reports.