2601.07035v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.872000Z",
      "hash": "822d079812090bd9db70031ff547daa98c15cefc0ba9f6e1a0fa099287a69f51",
      "id": "d8925ed8-f1bb-4c4a-a69a-93694ad1647a",
      "source": {
        "execution_id": "27c813fc-d03b-4620-83e8-151c679925b2",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "822d079812090bd9db70031ff547daa98c15cefc0ba9f6e1a0fa099287a69f51",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.07035v1.pdf",
      "size": 8292950
    },
    "source": {
      "execution_id": "b05b422c-c16d-4d19-9f20-e6bb201c7476",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 14,
      "producer": "pikepdf 8.15.1",
      "title": "Explainable Deep Radiogenomic Molecular Imaging for MGMT Methylation Prediction in Glioblastoma",
      "version": "1.7"
    },
    "source": {
      "execution_id": "d48ccecc-6d3d-4329-a97e-361e4f979e73",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}