OneWorld: Learning Consistent Physics Across Actions in World Models

arXiv:2609.30946 · cs.CV, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Consistency — 32× in this paper · explained in 3 episodes
• World Model — 19× in this paper · explained in 7 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Accuracy — 7× in this paper · explained in 1 episode
• In International Conference on Learning Representations — 7× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Action-Conditioned World Model — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Flow Matching — 3× in this paper · explained in 8 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Generative Model — 2× in this paper · explained in 2 episodes
• International Conference on Machine Learning — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Frechet Video Distance — 1× in this paper
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Regularization — 1× in this paper · explained in 3 episodes

Sources

• Twin Rollouts: Noise-Coupled Counterfactual Branching in Interactive Video World Models
• Overcoming Statistical Bias in Action-Controllable World Models
• Wan: Open and Advanced Large-Scale Video Generative Models
• ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models