Remove citation block (paper under review)

README.md

@@ -96,29 +96,6 @@ Released under **CC-BY-4.0**. The reference rollouts are produced from generator
 
 Wan2.2-I2V-A14B (Apache-2.0) is referenced as a baseline model and a fine-tuning ancestor for `VBVR-Wan2.2`; this dataset does not redistribute Wan2.2 weights.
 
-## Citation
-
-```bibtex
-@inproceedings{vbvr_multistep_2026,
-  title  = {Could Video Generation Models Solve Long-Horizon Multi-Step Reasoning Tasks?},
-  author = {Wang, Maijunxian and Zhou, Yifan and Zhang, Alvin and Ge, Jiahui and Wen, Shaoyue and Mei, Lantao and Guo, Lingzi and Wang, Ruisi and Cai, Zhongang and Luo, Dezhi and Lin, Juyi and Ma, Qianli and Huang, Lianyu and Hong, Zelong and Gao, Qingying and Zhao, Tianqi and Hou, Jianheng and Zhang, Danyang and Sun, Haoran and Wang, Runming and Xiao, Weihang and Xing, Hanwen and Jiao, Yizheng and Xu, Pengcheng and Tong, Jingqi and Uzunoglu, Arda and Yu, Fengyuan and Ji, Ran and Zhao, Zehong and Yang, Xue and Khashabi, Daniel and Deng, Hokin},
-  year   = {2026},
-  note   = {Under review at NeurIPS 2026 Datasets and Benchmarks Track}
-}
-```
-
-The parent VBVR suite:
-
-```bibtex
-@inproceedings{wang2026vbvr,
-  title     = {A Very Big Video Reasoning Suite},
-  author    = {Wang, Maijunxian and others},
-  booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
-  year      = {2026},
-  url       = {https://icml.cc/virtual/2026/poster/65709}
-}
-```
-
 ## Responsible AI
 
 This dataset is fully synthetic — generators produce every instance from controlled parameters. There are no human subjects, no scraped media, and no personal information. See the [Croissant file](./croissant.json) for the complete RAI metadata.