2601.10327v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:23.625000Z",
      "hash": "b57e1717368caba8893cf026e42dea64a74aca473cb9a6be4c68b1f7e3285f74",
      "id": "479e2318-c0ea-4816-a49e-1594bc941ed4",
      "source": {
        "execution_id": "9ee5ded9-e9e5-482f-92ae-e4b7f9b3ecf4",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "b57e1717368caba8893cf026e42dea64a74aca473cb9a6be4c68b1f7e3285f74",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.10327v1.pdf",
      "size": 3082432
    },
    "source": {
      "execution_id": "1c6c084f-8110-4d9f-8187-b2a71eacd637",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 16,
      "producer": "pikepdf 8.15.1",
      "title": "Neural-network-based high-speed and high-definition full-field dynamic optical coherence tomography",
      "version": "1.7"
    },
    "source": {
      "execution_id": "9fa76aef-089e-447a-8ee7-589457f7a334",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}