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  # CoWorld-Reasoner-Dev
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- [![Paper](https://img.shields.io/badge/Paper-arXiv-b31b1b?style=for-the-badge&logo=arxiv)](#citation)
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- [![HF Papers](https://img.shields.io/badge/HuggingFace-Papers-fcc21b?style=for-the-badge&logo=huggingface&logoColor=white)](#citation)
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  [![Code](https://img.shields.io/badge/GitHub-Code-blue?style=for-the-badge&logo=github)](https://github.com/ModalityDance/CoWorld-Reasoner)
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  [![Project Page](https://img.shields.io/badge/Project%20Page-GitHub-181717?style=for-the-badge&logo=github&logoColor=white)](https://modalitydance.github.io/CoWorld-Reasoner/)
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  After installing the [code repository](https://github.com/ModalityDance/CoWorld-Reasoner#installation), run:
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  ```shell
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- python download_data.py
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  ```
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  This saves questions and images to `data/dev120/` and reference answers to `scorer_bundle/data/dev120_evaluator_only.jsonl`.
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  ## Citation
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- Paper link and BibTeX: **coming soon**.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # CoWorld-Reasoner-Dev
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+ [![Paper](https://img.shields.io/badge/Paper-b31b1b?style=for-the-badge&logo=arxiv)](https://arxiv.org/abs/2610.21910)
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+ [![Hugging Face Paper](https://img.shields.io/badge/Hugging%20Face-Paper-fcc21b?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/papers/2610.21910)
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  [![Code](https://img.shields.io/badge/GitHub-Code-blue?style=for-the-badge&logo=github)](https://github.com/ModalityDance/CoWorld-Reasoner)
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  [![Project Page](https://img.shields.io/badge/Project%20Page-GitHub-181717?style=for-the-badge&logo=github&logoColor=white)](https://modalitydance.github.io/CoWorld-Reasoner/)
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  After installing the [code repository](https://github.com/ModalityDance/CoWorld-Reasoner#installation), run:
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  ```shell
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+ python scripts/prepare/download.py
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  ```
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  This saves questions and images to `data/dev120/` and reference answers to `scorer_bundle/data/dev120_evaluator_only.jsonl`.
 
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  ## Citation
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+ Please cite our paper as:
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+
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+ ```bibtex
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+ @misc{cheng2026coworldreasoner,
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+ title = {CoWorld Reasoner: Agentic Multimodal Reasoning with the Evolving Video World Model-Driven Harness},
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+ author = {Dongjie Cheng and Ruifeng Yuan and Ran Wei and Ning Song and Yongqi Li and Wenjie Li},
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+ year = {2026},
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+ eprint = {2610.21910},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.AI},
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+ url = {https://arxiv.org/abs/2610.21910}
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+ }
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+ ```