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标题: "MUSE: A Full-Text Cross-Domain Knowledge Base of Scientific Problems, Solutions, and Rationales"
原文链接: "https://arxiv.org/abs/2608.10974"
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## Computer Science > Computation and Language

## Title:MUSE: A Full-Text Cross-Domain Knowledge Base of Scientific Problems, Solutions, and Rationales

Authors:[Tsofia Cohen](https://arxiv.org/search/cs?searchtype=author&query=Cohen,+T), [Tom Hope](https://arxiv.org/search/cs?searchtype=author&query=Hope,+T)

[View PDF](https://arxiv.org/pdf/2608.10974) [HTML (experimental)](https://arxiv.org/html/2608.10974v1)

> Abstract:Scientific papers contain fine-grained records of problem solving: authors mention technical obstacles and methods that were used to address them, often along with reasoning on why those methods were chosen. We introduce MUSE (Mining Underlying Scientific Explanations), a full-text, multi-domain resource of scientific Problem-Solution-Rationale (P-S-R) triplets. We curate 579 expert-annotated full-text paragraphs, with a rich annotation schema covering salient problem, solution, and rationale spans, solves and rationale\_of links and conceptual coreference. A modular extraction pipeline scales this annotation to build a high-quality knowledge base of 37K source-grounded P-S-R triplets. We evaluate the extraction components and include a preliminary experiment training a rationale-supervised LLM for scientific problem solving. Interestingly, we find that rationale supervision improves performance on complex, multi-constraint problems but can harm performance on simpler ones.

| Subjects: | Computation and Language (cs.CL) |
| --- | --- |
| Cite as: | [arXiv:2608.10974](https://arxiv.org/abs/2608.10974) \[cs.CL\] |
|  | (or [arXiv:2608.10974v1](https://arxiv.org/abs/2608.10974v1) \[cs.CL\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.10974](https://doi.org/10.48550/arXiv.2608.10974) |

## Submission history

From: Tsofia Cohen \[[view email](https://arxiv.org/show-email/aa5da417/2608.10974)\]  
**\[v1\]** Tue, 11 Aug 2026 14:31:37 UTC (4,804 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.10974) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
