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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.
This paper introduces MMSkills, a framework for representing, generating, and using multimodal procedural knowledge for visual agents, combining textual procedures with visual state cards and keyframes, and demonstrates improvements in GUI and game-based visual agent benchmarks.