Economic model finds most SOC LLM setups unprofitable
Monte Carlo results limit profitability to high-accuracy, low-uncertainty deployments across analyzed prices.
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Monte Carlo results limit profitability to high-accuracy, low-uncertainty deployments across analyzed prices.
On a 4D replanning benchmark it reports 95-100% success across four noise levels and the lowest runtime among compared planners.
A locality-informed autoregressive network reproduces energy, magnetization and helicity modulus without missing configuration modes.
Quenched Ensemble Sampling generalizes nested sampling's hard energy constraint to repulsive potentials, traversing first-order phase transitions where tempering fails.
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