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narendrakumarnutalapati/licitra-mmr-core: LICITRA-MMR v0.1.0-mvp

Authors: Nutalapati, Narendra Kumar;

narendrakumarnutalapati/licitra-mmr-core: LICITRA-MMR v0.1.0-mvp

Abstract

Reference implementation of 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. Contains: MMR construction module, canonical JSON serializer, two-phase commit pipeline, epoch chaining, inclusion proof generation, 11 tests (all passing), 5 evidence scenarios. Python 3.12+, FastAPI, PostgreSQL 16, MIT license. Part of the LICITRA Technical Report Series. Companion report: LICITRA-TR-2026-01 (DOI: 10.5281/zenodo.18843032).

Keywords

Merkle Mountain Range, tamper-evident logging, agentic AI security, cryptographic audit, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average