Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.
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PolySwarm aggregates predictions from 50 LLM personas for Polymarket trading using Bayesian combination and divergence metrics, outperforming single models in calibration while adding latency arbitrage via CEX price models.
Maximum Caliber on graph spectral kernels yields self-consistent fixed-point solutions, log-linear Fisher-Rao geodesics, and spectral entropy signals for structural phase transitions.
citing papers explorer
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Toward Modeling Player-Specific Chess Behaviors
Champion-specific embeddings and limited MCTS in Maia-2 reduce average Jensen-Shannon divergence to 16 historical chess champions' move distributions in a new latent-space metric, even as standard move accuracy falls.
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PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage
PolySwarm aggregates predictions from 50 LLM personas for Polymarket trading using Bayesian combination and divergence metrics, outperforming single models in calibration while adding latency arbitrage via CEX price models.
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Spectral Kernel Dynamics via Maximum Caliber: Fixed Points, Geodesics, and Phase Transitions
Maximum Caliber on graph spectral kernels yields self-consistent fixed-point solutions, log-linear Fisher-Rao geodesics, and spectral entropy signals for structural phase transitions.