Digital audit trails remain vulnerable to content alteration, omission, and unverifiable reproduction. We evaluated AuditLog.AI’s reproducibility integrity using Sentinel QMS v4 under double-blind, HMAC-randomized challenge conditions. Across 21,717 evidence-file instances (7,239 unique files × 3 passes), the system demonstrated: • 100% dual-hash parity for all PASS baselines and positive controls, • 100% detection of 40/40 HMAC-seeded deletions, and • 0 false-positive mismatches on 21,677 untouched files. A blinded, dual-operator execution was performed under full screen recording, with pre-/post-audit states independently anchored to Bitcoin mainnet (OP_RETURN). Human Verification Time (HVT) totalled 5,258 seconds (≈87.6 min), equating to 0.24 seconds per file. These results provide the first cryptographically anchored, zero-custody demonstration of CRO-grade reproducibility across a multi-entity corpus. File: Sentinel_QMSv4_Reproducibility_Study_Ordinal14_Deterministic_HMAC-Randomized_Dual-Arm_Auditpdf___20251202T042726Z.pdf SHA-256: 708e3aee4277fcb1f72461ff7928ee0c29dd2e7825b2d23e5ffb0f25caa0ba5a RIPEMD-160: 35fc5a55cba8a76c10e19ec281554bc45a0b1819 TXID: fbecdbc1cbc597a2461d5cc99f8f6f238d6b26d9224d0bf8d237a9783d8faed2 Block: 926,099