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@@ -45,7 +45,7 @@ Related resources are also available, please check:
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  | Resource | Link |
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  |----------|------|
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- | πŸ“„ Paper | [πŸ“„ arxiv.org/abs/XXXX.XXXXX](https://arxiv.org/abs/XXXX.XXXXX) |
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  | πŸ’» Code | [πŸ’» Snowflake-Labs/agent-world-model](https://github.com/Snowflake-Labs/agent-world-model) |
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  | πŸ“¦ AgentWorldModel-1K | [πŸ€— Snowflake/AgentWorldModel-1K](https://huggingface.co/datasets/Snowflake/AgentWorldModel-1K) |
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  | πŸ€– Arctic-AWM-4B | [πŸ€— Snowflake/Arctic-AWM-4B](https://huggingface.co/Snowflake/Arctic-AWM-4B) |
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  If you find this resource useful, please kindly cite:
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  ```bibtex
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- xxxxxxxxx
 
 
 
 
 
 
 
 
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  ```
 
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  | Resource | Link |
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  |----------|------|
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+ | πŸ“„ Paper | [πŸ“„ arxiv.org/abs/2602.10090](https://arxiv.org/abs/2602.10090) |
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  | πŸ’» Code | [πŸ’» Snowflake-Labs/agent-world-model](https://github.com/Snowflake-Labs/agent-world-model) |
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  | πŸ“¦ AgentWorldModel-1K | [πŸ€— Snowflake/AgentWorldModel-1K](https://huggingface.co/datasets/Snowflake/AgentWorldModel-1K) |
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  | πŸ€– Arctic-AWM-4B | [πŸ€— Snowflake/Arctic-AWM-4B](https://huggingface.co/Snowflake/Arctic-AWM-4B) |
 
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  If you find this resource useful, please kindly cite:
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  ```bibtex
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+ @article{wang2026agentworldmodelinfinity,
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+ title={Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning},
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+ author={Zhaoyang Wang and Canwen Xu and Boyi Liu and Yite Wang and Siwei Han and Zhewei Yao and Huaxiu Yao and Yuxiong He},
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+ year={2026},
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+ eprint={2602.10090},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.AI},
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+ url={https://arxiv.org/abs/2602.10090},
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+ }
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  ```