[2603.00585] MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

[2603.00585] MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.00585: MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

Computer Science > Artificial Intelligence arXiv:2603.00585 (cs) [Submitted on 28 Feb 2026] Title:MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation Authors:Rongsheng Wang, Minghao Wu, Hongru Zhou, Zhihan Yu, Zhenyang Cai, Junying Chen, Benyou Wang View a PDF of the paper titled MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation, by Rongsheng Wang and 6 other authors View PDF HTML (experimental) Abstract:Recent advances in video generation have opened new avenues for macroscopic simulation of complex dynamic systems, but their application to microscopic phenomena remains largely unexplored. Microscale simulation holds great promise for biomedical applications such as drug discovery, organ-on-chip systems, and disease mechanism studies, while also showing potential in education and interactive visualization. In this work, we introduce MicroWorldBench, a multi-level rubric-based benchmark for microscale simulation tasks. MicroWorldBench enables systematic, rubric-based evaluation through 459 unique expert-annotated criteria spanning multiple microscale simulation task (e.g., organ-level processes, cellular dynamics, and subcellular molecular interactions) and evaluation dimensions (e.g., scientific fidelity, visual quality, instruction following). MicroWorldBench reveals that current SOTA video generation models fail in microscale simulation, showing violations of physical laws, temporal inconsistency, and misalignment with expert criter...

Originally published on March 03, 2026. Curated by AI News.

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