Add introduction with arXiv and project page links

README.md

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-The official Hugging Face organization for the paper "PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Rewards"
+# PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Rewards
+
+📄 [Paper (arXiv:2610.18755)](https://arxiv.org/abs/2610.18755) · 🌐 [Project page](https://precise-coder-rl.github.io/) · 💻 [Code](https://github.com/precise-coder-rl/PreciseCoder)
+
+Unit-test rewards are the standard way to post-train code models, but a unit test only checks whether the final program passes. Training on them raises pass rates while teaching models to edit more than needed and to hallucinate bugs in code that is already correct. **PreciseCoder** adds a reward for semantically verified, localized edits. On 4B, 9B and 27B models, it cuts the average edit from 7–15 lines to 3 at a pass rate on par with unit-test-only training. The precision carries over to repository-level repair and, through PreciseCoder's reasoning traces, to frontier models.
+
+## Models
+
+- [PreciseCoder-4B](https://huggingface.co/PreciseCoder/PreciseCoder-4B), from Qwen3.5-4B
+- [PreciseCoder-9B](https://huggingface.co/PreciseCoder/PreciseCoder-9B), from Qwen3.5-9B
+- [PreciseCoder-27B](https://huggingface.co/PreciseCoder/PreciseCoder-27B), from Qwen3.6-27B
+
+## Data
+
+- [pdb-test](https://huggingface.co/datasets/PreciseCoder/pdb-test): the held-out test split of [PDB](https://precise-debugging-benchmark.github.io), the Precise Debugging Benchmark
+
+## Citation
+
+```bibtex
+@article{precisecoder,
+  title   = {{PreciseCoder}: Faithful and Generalizable Debugging Beyond Unit-Test Rewards},
+  author  = {Zhan, Yunkai and Chai, Miaosen and Wang, Shangshang and Zhong, Jike and Yang, Yuqing and Fu, Deqing and Chang, Serina and Zhu, Wang Bill},
+  journal = {arXiv preprint arXiv:2610.18755},
+  year    = {2026}
+}
+```