LICITRA-MMR: A Merkle Mountain Range Ledger Primitive for Cryptographic Runtime Accountability in Agentic AI Systems
LICITRA-MMR: A Merkle Mountain Range Ledger Primitive for Cryptographic Runtime Accountability in Agentic AI Systems
LICITRA Technical Report Series, Report No. LICITRA-TR-2026-01, Version 0.2. This report documents LICITRA-MMR, an open-source ledger primitive that combines a Merkle Mountain Range (MMR) data structure with per-organization epoch anchoring, a versioned canonical JSON specification, and an atomic two-phase commit pipeline for cryptographic audit integrity in agentic AI systems. At a block size of 1,000 events, LICITRA-MMR produces inclusion proofs requiring 14 SHA-256 operations and verifies a full epoch chain of 1,000 epochs in under 1 ms. The system is a single-operator forensic integrity primitive providing no Byzantine fault tolerance, no distributed consensus, and no confidentiality guarantees. Part of the LICITRA Technical Report Series. Companion report: LICITRA-TR-2026-02 (LICITRA-SENTRY, DOI: 10.5281/zenodo.18843784).
Tamper-Evident Logging, AI Governance, Merkle Mountain Range, Agentic AI, Runtime Integrity, Cryptographic Audit, Append-Only Accumulator
Tamper-Evident Logging, AI Governance, Merkle Mountain Range, Agentic AI, Runtime Integrity, Cryptographic Audit, Append-Only Accumulator
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