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README.md

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+# SEG-ATP: Segment-Level Learning for LLM-Based Theorem Proving
+
+This repository contains the policy model used in the paper **"Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving"**.
+
+## Model
+
+The model is fully fine-tuned from [Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B) using segment-level supervision constructed from Lean 4 proof trajectories.
+
+## Training Data
+
+The model is trained using proof trajectories derived from STP, LeanWorkbook, and NuminaMath-LEAN.
+
+## Usage
+
+Please refer to the GitHub repository for preprocessing, inference, and evaluation details:
+
+https://github.com/NJUDeepEngine/SEG-ATP
+
+## Citation
+
+```bibtex
+@article{xu2026rethinking,
+  title={Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving},
+  author={Xu, Shuo and Zhang, Jiakun and Lai, Junyu and Cao, Chun and Xu, Jingwei},
+  journal={arXiv preprint},
+  year={2026}
+}