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AgentSoV: Virtual Sensing for LLM Multi-Agent Systems via Stream of Variation
Large language model (LLM) multi-agent systems (MASs) solve complex tasks through interacting agents, yet their reliability is difficult to analyze because failures depend on both individual agents and how information and errors propagate across the system. Existing approaches largely treat this as
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