Published December 2, 2025
| Version v1
Preprint
Open
Deterministic, Zero-Custody Machine-Audit Reproducibility of Bitcoin-Anchored Digital Audit Trails: A Double-Blind, HMAC- Randomized Validation Study Across a 7,239-File Multi-Entity Evidence Corpus
Authors/Creators
- 1. Cardiovascular Diagnostic Audit & AI Pty Ltd (CDA AI) ABN 19 638 019 431 | ACN 638 019 431
- 2. Telles Investments Pty Ltd | ACN 638 017 384
Description
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
Files
Sentinel_QMSv4_Reproducibility_Study_Ordinal14_Deterministic_HMAC-Randomized_Dual-Arm_Auditpdf___20251202T042726Z.pdf
Files
(1.8 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:075bcf7ad8e2abd948ff315f4fec1b4b
|
1.8 MB | Preview Download |
Additional details
Identifiers
Dates
- Created
-
2025-12-02Date of first public release and on-chain anchoring (TXID: `fbecdbc1cbc597a2461d5cc99f8f6f238d6b26d9224d0bf8d237a9783d8faed2` Bitcoin block 926,099)
Software
- Repository URL
- https://github.com/TELAISYN/AI-Human-Synergy