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cs.CV2026
CausalWM: Causal Chain-of-Thought Reasoning for Embodied World Model
Ziming Xu, Shuang Liang, Ruobing Han +10
Embodied world models learn to predict future physical dynamics from visual observations and control signals, where physical knowledge is implicitly entangled within latent represe…
cs.RO2026
Differentiable Mesh State Estimation via Factor Graph Inference for Deformable Object Reconstruction
Lidia Al-Zogbi, Fangjie Li, Samuel Tobin +13
Estimating deformable object states remains a fundamental challenge in robotics and simulation. We propose a novel factor graph-based framework for probabilistic mesh state estimat…
cs.LG2026
Generalization and Memorization in Rectified Flow
Mingxing Rao, Daniel Moyer
Generative models based on the Flow Matching objective, particularly Rectified Flow, have emerged as a dominant paradigm for efficient, high-fidelity image synthesis. However, whil…