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This paper models multi-agent LLM deliberation as a closed-loop dynamical system where each agent has a hidden internal belief (anchor) that continually pulls its opinion, and shows how this anchor can be recovered from deliberation data alone, explaining phenomena like opinions escaping the convex hull of initial beliefs.