arXiv cs.CV
· Papers
ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow
arXiv:2607.27924v1 Announce Type: cross Abstract: In the physical world we inhabit, space and time are fundamentally continuous. However, existing machine learning paradigms for world modeling are largely confined to discrete-time prediction, thereby exhibiting significant inefficiency in capturing the dynamics of phys