arXiv AI By Taotao Wang, Chonghe Zhao, Shengli Zhang, Soung Chang Liew

SemDHT: Certified Semantic Discovery for Peer-to-Peer Agent Networks over Exact-Key DHTs

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SemDHT introduces a certified semantic index for discovering agent-accessible capabilities over exact-key distributed hash tables (DHTs). It uses a two-layer semantic sketch—coarse cells for grouping descriptors and residual codes for refining candidate selection—allowing providers to publish at a bounded set of derived keys while requesters probe precision keys first. Anchor committees certify descriptor-to-key consistency, enabling efficient, consistent discovery with fewer lookups and reduced publication fan‑out, as demonstrated by high recall and significant speedups over locality‑sensitive hashing in real‑world experiments.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

arXiv AI
Jul 3

ContextNest: Verifiable Context Governance for Autonomous AI Agent

arXiv:2607. 02116v1 Announce Type: new Abstract: Autonomous AI agents increasingly depend on external knowledge stores, yet most retrieval pipelines provide relevance without durable guarantees of provenance, version identity, integrity, traceability, or point-in-time reconstruction.

By Misha Sulpovar (PromptOwl, LLC), Benn R. Konsynski (Goizueta Business School, Emory University), Qaish Kanchwala (IBM Research), Gabe Goodhart (IBM Research)