Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions

LLM systems increasingly rely on groups of agents that discuss, critique, and check one another, assuming that peers will catch individual errors. We test this assumption against a minimal adversary. In a ten-agent factual discussion, one or three adversarial agents repeatedly assert a plausible fal