2601.06874v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.664000Z",
      "hash": "f7a82c9d4c959edd8eb45fedf8387c7e3e36ede5ca56ddb40e578f77928233f7",
      "id": "402837a0-1a65-4ee0-bcb2-7eaa95073fef",
      "source": {
        "execution_id": "bd63c768-360a-4b64-a1be-85cb717c6517",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "f7a82c9d4c959edd8eb45fedf8387c7e3e36ede5ca56ddb40e578f77928233f7",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.06874v1.pdf",
      "size": 15146897
    },
    "source": {
      "execution_id": "f8c25c59-7b45-4cba-98ff-d3799e3449b2",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 11,
      "producer": "pikepdf 8.15.1",
      "title": "MVGGT: Multimodal Visual Geometry Grounded Transformer for Multiview 3D Referring Expression Segmentation",
      "version": "1.7"
    },
    "source": {
      "execution_id": "b29a947b-2e78-4906-bf22-fce7cd8da2f5",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}