Do Video Generators Track the World Across Segments? A Benchmark and Method for World-State Reasoning in Video Continuation
Paper • 2609.03673 • Published
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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.
Code: 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.
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