Unverified50% confidenceFactExact time
In multi-agent scenarios, the behaviors of individual agents influence one another, creating a non-stationary environment that makes it difficult for a single agent to stably extract meaningful signals from feedback.
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50%
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Long-term
Relevance
9/17/2026
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Related Claims
UnverifiedIn multi-agent systems, a compromised agent can deliver malicious messages to other agents via the message board, creating a "lateral propagation" effect.80% similarVerifiedCommon failure modes in multi-agent architectures include infinite loop calls between agents, amplification of erroneous information along the transmission chain (hallucination cascade effect), and deadlock issues when some agents time out.78% similarUnverifiedIn multi-agent scenarios, each invocation of each agent is billed independently, and context information passed between agents is counted repeatedly.77% similarUnverifiedTypical failure modes of multi-agent systems include runaway feedback loops, accountability vacuums, and conflicting actions.76% similarVerifiedMulti-agent systems introduce new complexity: each context transfer between agents consumes additional tokens, and errors are amplified in a cascading fashion across the agent chain.76% similar
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