Abstract
A blockchain-based provenance verification layer is described for text-based knowledge artifacts shared among multiple AI agents. Middleware intercepts creation and consumption of artifacts in shared knowledge stores and associates each artifact or claim with a provenance record on a distributed ledger, including content hash, author identifier, timestamp, verification status, parent links, propagation depth, and confidence. Independent verification agents generate cryptographically signed attestations using techniques such as command help checks, API test calls, cross-references, and consistency checks, and ledger status is updated accordingly, optionally blocking unverified writes. During reads, a trust score is computed from verification status, attestation density, propagation depth, freshness, and parent trust, and thresholds determine ingestion, quarantine, or rejection. A monitoring engine detects revocations, traverses derivation links to identify downstream artifacts, issues revocation notices, and queues re-verification.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Distributed Ledger-Based Provenance Tracking and Verification for Multi-Agent AI Knowledge Systems", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10744