---
license: apache-2.0
task_categories:
- text-to-video
---

# StateBench

StateBench is a benchmark for world-state reasoning in video continuation, introduced in the paper [Do Video Generators Track the World Across Segments? A Benchmark and Method for World-State Reasoning in Video Continuation](https://huggingface.co/papers/2609.03673).

Code: [https://github.com/AMAP-ML/StateAgent](https://github.com/AMAP-ML/StateAgent)

The benchmark contains **200 cross-segment continuation tasks** across three difficulty levels:

| Level | Count | Description |
|-------|-------|-------------|
| `past_visible` | 85 | The target object was visible in a prior frame — tests temporal memory. |
| `occluded_process` | 65 | The state change occurs while the object is occluded — tests process reasoning. |
| `complex_transition` | 50 | Multiple state transitions or conflicting cues — tests compositional reasoning. |

Each task includes metadata such as `id`, `difficulty`, `target_object`, `shots`, `expected_state`, `checklist`, and `reference_frames`.