Author

Matthew D. Schwartz

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Preprint Oct 2026

BootLoops: an LLM-driven toolkit for exact quantitative science

Much of quantitative science involves difficult mathematical computations: a Feynman integral, evidence for an evolutionary tree, or a regulatory statistic. These are often estimated by Monte Carlo or heuristic search, or computed in floating point without tracking rounding error. Exact methods often exist, but in a fi...

Matthew D. Schwartz · 0 citations