LLM multi-agent systems on lattices show bias-driven order-disorder crossovers instead of true phase transitions, with extracted effective couplings and fields serving as model-specific fingerprints.
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In kinship-dominant agent swarms, adding logical agents increases stability of erroneous trajectories, leading to logic saturation with zero internal entropy but unit factual error.
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Collective Alignment in LLM Multi-Agent Systems: Disentangling Bias from Cooperation via Statistical Physics
LLM multi-agent systems on lattices show bias-driven order-disorder crossovers instead of true phase transitions, with extracted effective couplings and fields serving as model-specific fingerprints.
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The Inverse-Wisdom Law: Architectural Tribalism and the Consensus Paradox in Agentic Swarms
In kinship-dominant agent swarms, adding logical agents increases stability of erroneous trajectories, leading to logic saturation with zero internal entropy but unit factual error.