2601.06484v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.776000Z",
      "hash": "660f804b36e152dd23f367980eb56d2d3fea74f1b4bd22182bc313bcc937bc12",
      "id": "53ae3b32-af46-4232-8001-ca36cc1619bd",
      "source": {
        "execution_id": "f6f4a167-b355-4ec9-ac61-67e291578d0e",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "660f804b36e152dd23f367980eb56d2d3fea74f1b4bd22182bc313bcc937bc12",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06484v1.pdf",
      "size": 3672489
    },
    "source": {
      "execution_id": "62754fe6-eabe-4949-84e6-bb30ad882980",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 9,
      "producer": "pikepdf 8.15.1",
      "title": "Learning Domain Agnostic Latent Embeddings of 3D Faces for Zero-shot Animal Expression Transfer",
      "version": "1.7"
    },
    "source": {
      "execution_id": "57d462be-137f-4d54-8880-411ced4f589b",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}