LICITRA-MMR: A Merkle Mountain Range Ledger Primitive for Cryptographic Runtime Accountability in Agentic AI Systems

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Authors: NARENDRA KUMAR NUTALAPATI
Cited by: 2

Abstract

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).

Fields of Study & Subjects

Distributed systems and fault tolerance Security and Verification in Computing Formal Methods in Verification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 March 2026