Analytica uses soft propositional reasoning to decompose problems, ground facts with tools, and average outputs with linear models, yielding 15.84% average accuracy gains and lower variance on forecasting tasks.
p true": Your estimated probability (a float between 0.00 and 1.00) that the proposition is true, based on your proof and notebook analysis. 2
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Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Analytica uses soft propositional reasoning to decompose problems, ground facts with tools, and average outputs with linear models, yielding 15.84% average accuracy gains and lower variance on forecasting tasks.