Advancing Open-source World Models

• URL: http://arxiv.org/abs/2601.20540v1
• Date: Wed, 28 Jan 2026 12:37:01 GMT
• Title: Advancing Open-source World Models
• Authors: Robbyant Team, Zelin Gao, Qiuyu Wang, Yanhong Zeng, Jiapeng Zhu, Ka Leong Cheng, Yixuan Li, Hanlin Wang, Yinghao Xu, Shuailei Ma, Yihang Chen, Jie Liu, Yansong Cheng, Yao Yao, Jiayi Zhu, Yihao Meng, Kecheng Zheng, Qingyan Bai, Jingye Chen, Zehong Shen, Yue Yu, Xing Zhu, Yujun Shen, Hao Ouyang,
• Abstract summary: LingBot-World is an open-sourced world simulator stemming from video generation.<n>It maintains high fidelity and robust dynamics in a broad spectrum of environments.<n>It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second.
• Score: 92.17462908419326
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present LingBot-World, an open-sourced world simulator stemming from video generation. Positioned as a top-tier world model, LingBot-World offers the following features. (1) It maintains high fidelity and robust dynamics in a broad spectrum of environments, including realism, scientific contexts, cartoon styles, and beyond. (2) It enables a minute-level horizon while preserving contextual consistency over time, which is also known as "long-term memory". (3) It supports real-time interactivity, achieving a latency of under 1 second when producing 16 frames per second. We provide public access to the code and model in an effort to narrow the divide between open-source and closed-source technologies. We believe our release will empower the community with practical applications across areas like content creation, gaming, and robot learning.

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