Programmable World Model
Classification
View four quadrants- Major category
- Benchmarks & simulators
- Quadrant
- Not applicable
- Architecture
- Not applicable
- Prediction paradigm
- Not applicable
- Subcategories
- Neural world simulators
- Source review status
- Not assigned
Category review. An explicit rule engine updates user-action-conditioned world state and a neural renderer produces observations; this is a programmable interactive neural simulator, without its own learned action policy. The cataloged contribution is a dataset/data-generation method or evaluation/simulation resource, not the architecture of an evaluated or external policy. Reading evidence
Contribution
Programmable World Model makes a rule-executing engine authoritative for world facts and uses a conditioned video model to render them. State-augmented 3D oriented bounding boxes connect these components without requiring detailed animated assets. On CombatStateBench, the system reports 94% visible-alive-count accuracy and 98% death-state accuracy, but these permissive global metrics do not establish correct entity-specific interactions or autonomous action selection (e-world, e-controls, e-table, e-metrics).
Abstract
An abstract has not been added yet.
Affiliations
Alaya Lab