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Applying this framework to our own formalization and to the released outputs of RepoProver and M2F, we uncover recurring unfaithful formalization patterns, including incomplete multi-part st","title":"Formalizing Numerical Analysis: An Agent Pipeline and Quality Audit Beyond Kernel Acceptance","url":"https://arxiv.org/abs/2606.14000","vendor":"arxiv_cs_ai"},"summary":"arXiv:2606.14000v1 Announce Type: new \nAbstract: Recent work has demonstrated that coding agents can formalize entire advanced mathematics textbooks in Lean 4, yet existing efforts concentrate on branches of mathematics already well-represented in mathlib and measure success solely through kernel acceptance. We address both limitations by applying a coding agent to formalize Numerical Methods for Ordinary Differential Equations, a textbook in numerical analysis that is largely absent from mathlib, stressing the agent's capacity to develop new theory from scratch. 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