Which benchmark checks whether a video or world-generation model follows a camera path and keeps a scene consistent, and does it measure physical laws?

Partially verified: the curator re-read none of the cited sources; S3, S10, S11 rest on the producer's pinned reading. WorldScore (Stanford; arXiv v2 Nov 2025) evaluates 'next scene' generation: given a scene image, a next-scene prompt and a camera layout (a trajectory plus one of 8 text camera moves), it scores controllability (camera, object, content), quality (3D, style, photometric consistency, subjective quality) and dynamics (motion accuracy, magnitude, smoothness). It tested 20 models, including 13 video models; video models had weak camera control (best video 40.22 on camera controllability) and 3D scene generators beat them on static worlds. It does not define a physical-law metric, so it informs camera and consistency questions only. Curator qualifications: Partially verified: the curator re-read none of the cited sources; S3, S10, S11 rest on the producer's pinned reading. Curator GET 2026-10-23 of the sources not re-read (mechanical source evidence, not semantic verification): S3: HTTP 200, bytes differ from the producer pin; S10: HTTP 200, bytes differ from the producer pin; S11: HTTP 200, bytes equal to the producer pin. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

{
  "citations": [
    {
      "url": "https://arxiv.org/abs/2504.00983v2",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/haoyi-duan/WorldScore/blob/096c75fc4ada9c7d92e03140c3c1f0c8f383b61f/README.md",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://huggingface.co/datasets/Howieeeee/WorldScore/raw/main/README.md",
      "note": "candidate evidence excerpts"
    }
  ]
}