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Forethought: Verifiable Reasoning from Neurosymbolic Primitive Programming
Modern agentic workflows decompose user requests into sequences of tool calls with correctly resolved parameters, the results of which are processed through reasoning traces in the language model's context window. The prevailing route to improving such reasoning is test-time scaling, which trains mo
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