Link the published arXiv paper

README.md

@@ -8,6 +8,7 @@ tags:
   - text-to-image
   - lora
   - s2rl
+  - arxiv:2610.35491
 ---
 
 <p align="center">
@@ -25,6 +26,7 @@ tags:
 </p>
 
 <p align="center">
+  <a href="https://arxiv.org/abs/2610.35491">📄 arXiv</a> ·
   <a href="https://00why00.github.io/S2RL/">🌐 Project Page</a> ·
   <a href="https://github.com/00why00/S2RL">💻 Code</a> ·
   <a href="#datasets">📂 Datasets</a> ·
@@ -105,10 +107,10 @@ Extract into `$S2RL_DATA_ROOT`. Image–mask pairs are stored under `ILDistillat
   title={S$^2$-RL: Sample-Set Dual Reinforcement Learning for Generative Semantic Segmentation Dataset Distillation},
   author={Haoyu Wang and Fei Zhou and Qingqing Qiu and Lei Zhang and Wei Wei and Chen Ding},
   year={2026},
-  eprint={ARXIV_ID},
+  eprint={2610.35491},
   archivePrefix={arXiv},
   primaryClass={cs.CV},
-  url={https://arxiv.org/abs/ARXIV_ID}
+  url={https://arxiv.org/abs/2610.35491}
 }
 ```
 

manifest.json

@@ -2330,5 +2330,5 @@
     "Only the three main ratios and five constructed sets per ratio are included.",
     "Policy checkpoints are the original experimental artifacts; code corrections did not regenerate them."
   ],
-  "code_revision": "8384db26834f759b4e882bc7860c4b04def813b5"
+  "code_revision": "1048f23e3bf32abf72ae9a81ad696c0c1fa7d441"
 }