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| Main Authors: | , , |
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| Format: | Preprint |
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2025
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| Online Access: | https://arxiv.org/abs/2601.15294 |
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| _version_ | 1866915746175516672 |
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| author | Uskuplu, Elif Moss, Lawrence S. de Paiva, Valeria |
| author_facet | Uskuplu, Elif Moss, Lawrence S. de Paiva, Valeria |
| contents | Mathematical knowledge exists in many forms, ranging from informal textbooks and lecture notes to large formal proof libraries, yet moving between these representations remains difficult. Informal texts hide dependencies, while formal systems expose every detail in ways that are not always human-readable. Dependency graphs offer a middle ground by making visible the structure of results, definitions, and proofs. We present KnowTeX, a standalone, user-friendly tool that extends the ideas of Lean's Blueprints, enabling the visualization of conceptual dependencies directly from LaTeX sources. Using a simple "uses" command, KnowTeX extracts relationships among statements and generates previewable graphs in DOT and TikZ formats. Applied to mathematical texts, such graphs clarify core results, support education and formalization, and provide a resource for aligning informal and formal mathematical representations. We argue that dependency graphs should become a standard feature of mathematical writing, benefiting both human readers and automated systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_15294 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | KnowTeX: Visualizing Mathematical Dependencies Uskuplu, Elif Moss, Lawrence S. de Paiva, Valeria Human-Computer Interaction Information Retrieval Programming Languages 68N15 D.2.2 Mathematical knowledge exists in many forms, ranging from informal textbooks and lecture notes to large formal proof libraries, yet moving between these representations remains difficult. Informal texts hide dependencies, while formal systems expose every detail in ways that are not always human-readable. Dependency graphs offer a middle ground by making visible the structure of results, definitions, and proofs. We present KnowTeX, a standalone, user-friendly tool that extends the ideas of Lean's Blueprints, enabling the visualization of conceptual dependencies directly from LaTeX sources. Using a simple "uses" command, KnowTeX extracts relationships among statements and generates previewable graphs in DOT and TikZ formats. Applied to mathematical texts, such graphs clarify core results, support education and formalization, and provide a resource for aligning informal and formal mathematical representations. We argue that dependency graphs should become a standard feature of mathematical writing, benefiting both human readers and automated systems. |
| title | KnowTeX: Visualizing Mathematical Dependencies |
| topic | Human-Computer Interaction Information Retrieval Programming Languages 68N15 D.2.2 |
| url | https://arxiv.org/abs/2601.15294 |