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cs.CV2026

Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning

Yijun Yang, Shenghe Zheng, Wenbo Li +8

Despite the remarkable prowess of Vision-Language Models (VLMs) in general multimodal tasks, they remain fundamentally ``flat'' when reasoning about the physical world. We argue th…

cs.CV2026

ZimaBlue: Evolving Generalizable World Action Models through Scalable Video Pre-training

Xionghao Wu, Yijun Yang, Shiyang Zhou +17

Robotic manipulation faces a fundamental scaling challenge: robust generalization demands broad physical experience, yet action-labeled robot trajectories are expensive to collect…

cs.CL2026

OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence

Jianhui Liu, Haoze Sun, Wenbo Li +11

Spatial understanding is a fundamental cornerstone of human-level intelligence. Nonetheless, current research predominantly focuses on domain-specific data production, leaving a cr…

cs.CR2026

What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?

Boyang Ma, Hechuan Guo, Peizhuo Lv +5

Embodied AI systems (e.g., autonomous vehicles, service robots, and LLM-driven interactive agents) are rapidly transitioning from controlled environments to safety critical real-wo…

cs.CV2026

CausalSpatial: A Benchmark for Object-Centric Causal Spatial Reasoning

Wenxin Ma, Chenlong Wang, Ruisheng Yuan +6

Humans can look at a static scene and instantly predict what happens next -- will moving this object cause a collision? We call this ability Causal Spatial Reasoning. However, curr…