Matlas introduces a semantic retrieval system over 8.07 million mathematical statements from papers and textbooks, using dependency graphs and topological unfolding for self-contained search via natural language queries.
A Semantic Search Engine for Mathlib4
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A 400-entry benchmark and protocol shows tool-augmented agents reach 89.5% compilation but only 60.5% consensus faithfulness, with a 29-point gap; elaboration feedback improves validity most but increases unfaithful compiles.
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Matlas: A Semantic Search Engine for Mathematics
Matlas introduces a semantic retrieval system over 8.07 million mathematical statements from papers and textbooks, using dependency graphs and topological unfolding for self-contained search via natural language queries.
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Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization
A 400-entry benchmark and protocol shows tool-augmented agents reach 89.5% compilation but only 60.5% consensus faithfulness, with a 29-point gap; elaboration feedback improves validity most but increases unfaithful compiles.