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2 results for “partition function”
Exploring Structures in Physics Problems: Can AI Agents Discover Statistical Mechanical Mappings?
Researchers introduced StatMechBench-v0, a benchmark of six Ising-type physics problems, to test whether LLM-based AI agents can discover correct statistical mechanical mappings from raw partition functions—and found agents often pass numerical verification while misidentifying tractable model classes or underestimating computational complexity.
Jul 31, 2026
Boltzmann MapReduce: A Partition-Function Reduce for Forkable Sandboxes
A theoretical paper introduces 'Boltzmann MapReduce', a statistical reinterpretation of MapReduce where worker outputs are modeled as Gibbs–Boltzmann measures, enabling partition-function-based aggregation under local asymptotic normality — positioning it as a principled foundation for distributed inference.
Jul 14, 2026