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README.md

@@ -19,7 +19,7 @@ pipeline_tag: text-generation
 [![Website](https://img.shields.io/badge/🌐-Website-blue)](https://aurora-spec-ai.github.io)
 [![Code](https://img.shields.io/badge/💻-Code-green)](#)
 [![Dataset](https://img.shields.io/badge/📊-Dataset-orange)](https://huggingface.co/datasets/zelc/onlinesd)
-[![Paper](https://img.shields.io/badge/📄-Paper-red)](#)
+[![Paper](https://img.shields.io/badge/📄-Paper-red)](https://arxiv.org/abs/2602.06932)
 
 </div>
 
@@ -70,8 +70,6 @@ This model implements the EAGLE3 (Extrapolation Algorithm for Greater Language-m
 
 ## Training Details
 
-- [Weight and Bias Log](https://wandb.ai/LIFT_ITT/inference-time-training/runs/n6yt7b3g)
-
 ### Aurora Framework
 
 This model was trained **from scratch** using Aurora, an inference-time training framework that:
@@ -283,10 +281,10 @@ If you use this model, please cite:
 ```bibtex
 @article{aurora2026,
   title={When RL Meets Adaptive Speculative Training: A Unified Training-Serving System},
-  author={Wang, Junxiong and Bie, Fengxiang and Li, Jisen and Zhou, Zhongzhu and Shao, Zelei and Wang, Yubo and Liu, Yinghui and Wu, Qingyang and May, Avner and Zhang, Yineng and Song, Shuaiwen Leon and Zhang, Ce and Athiwaratkun, Ben and Xu, Chenfeng and Wu, Xiaoxia},
-  journal={Preprint, forthcoming},
+  author={Wang, Junxiong and Bie, Fengxiang and Li, Jisen and Zhou, Zhongzhu and Shao, Zelei and Wang, Yubo and Liu, Yinghui and Wu, Qingyang and May, Avner and Yanamandra, Sri and Zhang, Yineng and Zhang, Ce and Dao, Tri and Liang, Percy and Athiwaratkun, Ben and Song, Shuaiwen Leon and Xu, Chenfeng and Wu, Xiaoxia},
+  journal={arXiv preprint arXiv:2602.06932},
   year={2026},
-  url={https://aurora-spec.github.io}
+  url={https://arxiv.org/abs/2602.06932}
 }
 ```