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The article discusses the problem of stale context in AI agent systems, where agents make decisions based on outdated information, and proposes a coordination primitive with versioning and presence signals to prevent conflicts and wasted tokens.
This paper studies failure modes in shared-state collaborative reasoning for resource-constrained visual agents, introducing CoSee, an auditing framework that formalizes read-write-verify loops. It finds that naive shared workspaces can amplify hallucinations and identifies noise reinforcement and policy collapse as dominant failure modes.