2601.10553v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:24.060000Z",
      "hash": "13cbb4556138fc0b7140278a4278b6d4ac5849cc406ad33c17cb071f35f43174",
      "id": "6a38f7fb-e5b6-49dd-ac68-e5c889b07fd6",
      "source": {
        "execution_id": "29f7590e-d146-4a65-a2d8-555711e67ddd",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "13cbb4556138fc0b7140278a4278b6d4ac5849cc406ad33c17cb071f35f43174",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.10553v1.pdf",
      "size": 5990215
    },
    "source": {
      "execution_id": "297779f0-0fc5-4f5d-9acb-0ee1407145b2",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 22,
      "producer": "pikepdf 8.15.1",
      "title": "Inference-time Physics Alignment of Video Generative Models with Latent World Models",
      "version": "1.7"
    },
    "source": {
      "execution_id": "ddbf30e6-be8d-46b5-8661-698a80ccffb3",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}