dataset card: citations

README.md

@@ -24,6 +24,8 @@ configs:
 
 # Every9D
 
+From the paper [Every9D-21M: Large-Scale Real-World 9D Canonicalization of Everyday Objects](https://arxiv.org/abs/2605.28270).
+
 Every9D gives the videos of [uCO3D](https://github.com/facebookresearch/uco3d)
 category-level 9-D object poses: rotation, translation and 3-D size, expressed in
 one canonical frame per category.
@@ -203,6 +205,23 @@ Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). The im
 depth and cameras derive from uCO3D, also CC BY 4.0, so please credit both.
 
 ```bibtex
-% TODO: Every9D citation
-% TODO: uCO3D citation, arXiv:2501.07574
+@misc{sommer2026every9d21mlargescalerealworld9d,
+      title={Every9D-21M: Large-Scale Real-World 9D Canonicalization of Everyday Objects}, 
+      author={Leonhard Sommer and Emil Akopyan and Adam Kortylewski},
+      year={2026},
+      eprint={2605.28270},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2605.28270}, 
+}
+
+@misc{liu2025uncommonobjects3d,
+      title={UnCommon Objects in 3D}, 
+      author={Xingchen Liu and Piyush Tayal and Jianyuan Wang and Jesus Zarzar and Tom Monnier and Konstantinos Tertikas and Jiali Duan and Antoine Toisoul and Jason Y. Zhang and Natalia Neverova and Andrea Vedaldi and Roman Shapovalov and David Novotny},
+      year={2025},
+      eprint={2501.07574},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2501.07574}, 
+}
 ```