Update README.md

README.md

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 # 📦 Stream3D-1M-Dataset
 
-Stream3D-1M-Dataset is a large-scale online spatio-temporal 3D question-answering dataset for training vision-language models to understand streaming RGB-D video. It is introduced with [Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors](https://arxiv.org/abs/xxx).
+Stream3D-1M-Dataset is a large-scale online spatio-temporal 3D question-answering dataset for training vision-language models to understand streaming RGB-D video. It is introduced with [Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors](https://arxiv.org/abs/2606.06891).
 
 The dataset contains over **1M online 3D QA pairs** generated from RGB-D video streams. It is designed to support real-time 3D spatial understanding, temporal memory, and interactive reasoning in streaming environments, where models must process observations incrementally instead of relying on complete offline scene inputs.
 
@@ -79,9 +79,9 @@ If you find Stream3D-1M-Dataset useful for your research or applications, please
 
 ```bibtex
 @article{yu2026stream3d,
-  title={Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors},
-  author={Hanxun Yu and Xuan Qu and Lei Ke and Boqiang Zhang and Yuxin Wang and Jianke Zhu and Dong Yu},
-  journal={arXiv preprint arXiv:xxxx.xxxxx},
-  year={2026}
+    title={Stream3D-VLM: Online 3D Spatial Understanding with Incremental Geometry Priors},
+    author={Hanxun Yu and Xuan Qu and Lei Ke and Boqiang Zhang and Yuxin Wang and Jianke Zhu and Dong Yu},
+    journal={arXiv preprint arXiv:2606.06891},
+    year={2026}
 }
 ```