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Sourcessourceseed2026-07-04ai-securitymulti-agent-memorymemory-poisoningbayesian-trustarchitectural-isolationprovenancemcpmas-misevolution-propagation

Capture Notes

arXiv:2603.02240.

Why Collected

Relevant as a proposed defense architecture for multi-agent memory poisoning using architectural isolation, Bayesian trust scoring, per-agent provenance, and local-first storage.

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Collection Summary

The paper presents a local-first memory system for multi-agent AI with architectural isolation, Bayesian trust scoring, SQLite/FTS5 storage, knowledge graph clustering, event-driven coordination, per-agent provenance, adaptive re-ranking, and MCP integrations.

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