Update README.md

README.md

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 ## Overview
-
 [MOSIV](https://arxiv.org/abs/2603.06022) is a synthetic dataset designed for the task of **multi-object system identification from videos**, where the goal is to recover both the **4D geometry (time-varying 3D shape)** and the **physical properties** (e.g., stiffness, friction, plasticity) of multiple interacting objects directly from multi-view video observations.
 
 ![MOSIV Teaser](assets/3obj_data.png)
 
-## Introduction
-
 MOSIV features **contact-rich, multi-object interactions** with diverse materials and complex dynamics. Each sequence contains multiple objects undergoing collisions, deformation, and motion, along with ground-truth physical parameters and simulation data.
 
 The dataset is generated using [Genesis simulator](https://github.com/Genesis-Embodied-AI/Genesis) and supports tasks such as:
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 │   ├── 012/
 │   ├── 013/
 │   └── …
+```
+
+Citing MOSIV
+If you find this dataset useful in your work, please consider citing our paper:
+```
+@misc{liu2026mosivmultiobjectidentificationvideos,
+      title={MOSIV: Multi-Object System Identification from Videos}, 
+      author={Chunjiang Liu and Xiaoyuan Wang and Qingran Lin and Albert Xiao and Haoyu Chen and Shizheng Wen and Hao Zhang and Lu Qi and Ming-Hsuan Yang and Laszlo A. Jeni and Min Xu and Yizhou Zhao},
+      year={2026},
+      eprint={2603.06022},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2603.06022}, 
+}
 ```