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Programmable World Model

Programmable World Model decouples executable world-state evolution from video generation, reaching 94% Count Accuracy and 98% State Accuracy on new CombatStateBench.

An agent translates natural-language instructions into executable programs specifying entity states and transition rules, executed by a lightweight engine that maintains an explicit, persistent global world state including off-screen entities. State-augmented 3D oriented bounding boxes are deterministically compiled into pixel-aligned spatiotemporal conditioning signals for a pretrained video model acting as the generative renderer. On the new CombatStateBench benchmark it achieves 94% Count Accuracy and 98% State Accuracy, substantially outperforming existing interactive video world models.

Hugging Face daily papers · 8d agoAI research