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FloatLib is the first Lean library to unify IEEE binary and decimal arithmetic, arbitrary-width posits, P3109, and user-defined formats and rounding rules behind interchangeable certified software backends.
Bridge the semantic gap between neural network execution and analysis with TorchLean, a framework that brings fully formal, end-to-end verification of learning-enabled systems into the Lean 4 theorem prover.
LLM judges inflate math proof scores by up to 0.36 points, revealing a significant alignment gap with human experts and a reasoning breakdown in discrete domains.
