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PAN: A World Model for General, Interactable, and Long-Horizon World Simulation

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PAN Team; Jiannan Xiang; Yi Gu; Zihan Liu; Zeyu Feng; Qiyue Gao; Yiyan Hu; Benhao Huang; Guangyi Liu; Yichi Yang; Kun Zhou; Davit Abrahamyan; Arif Ahmad; Ganesh Bannur; Junrong Chen; Kimi Chen; Mingkai Deng; Ruobing Han; Xinqi Huang; Haoqiang Kang; Zheqi Liu; Enze Ma; Hector Ren; Yashowardhan Shinde; Rohan Shingre; Ramsundar Tanikella; Kaiming Tao; Dequan Yang; Xinle Yu; Cong Zeng; Binglin Zhou; Zhengzhong Liu; Zhiting Hu; Eric P. Xing

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Neural world simulators
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Category review. PAN couples a Qwen-based latent-state predictor and Wan-based video renderer into an interactive language-controlled simulation loop. Generated observations feed subsequent simulation; no physical motor-action interface is demonstrated. It is the assembled neural simulator, not either reusable backbone. Reading evidence

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