Matlas: A Semantic Search Engine for Mathematics
Retrieving mathematical knowledge is a central task in both human-driven research, such as determining whether a result already exists, finding related results, and identifying historical origins, and in emerging AI systems for mathematics, where reliable grounding is essential. However, the scale and structure of the mathematical literature pose significant challenges: results are distributed across millions of documents, and individual statements are often difficult to interpret in isolation due to their dependence on prior definitions and theorems. In this paper, we introduce Matlas, a semantic search engine for mathematical statements. Matlas is built on a large-scale corpus of 8.07 m...
| Authors | Haocheng Ju, Leheng Chen, Peihao Wu et al. |
|---|---|
| Primary category | cs.IR |
| Published | 19 April 2026 |
| Last updated at source | 19 April 2026 |
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