2601.07092v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:11.281000Z",
      "hash": "02d75511291de2a5fff8be88db4898734827a168ded4235581b0dabcdddc26e8",
      "id": "c1763429-ebb4-4a20-996c-487d55f055d1",
      "source": {
        "execution_id": "5a7d1b92-6314-4a01-b918-c4611825d80a",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "02d75511291de2a5fff8be88db4898734827a168ded4235581b0dabcdddc26e8",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.07092v1.pdf",
      "size": 2103985
    },
    "source": {
      "execution_id": "0fd42fbe-2e96-4d79-856e-b1206147ea8f",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 8,
      "producer": "pikepdf 8.15.1",
      "title": "Efficient Visual Question Answering Pipeline for Autonomous Driving via Scene Region Compression",
      "version": "1.7"
    },
    "source": {
      "execution_id": "e009e878-db9f-43d7-a6b0-d37684e92891",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}