2601.05889v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:04.937000Z",
      "hash": "6fde29c8da93451ce1e197b7105a428b0765fd7de8f8815b40af0dd9037a3855",
      "id": "37e75967-688a-4a15-9ff3-d5c43cd48152",
      "source": {
        "execution_id": "a42ab822-bf87-4ac3-8d7b-936f1313661e",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "6fde29c8da93451ce1e197b7105a428b0765fd7de8f8815b40af0dd9037a3855",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.05889v1.pdf",
      "size": 578348
    },
    "source": {
      "execution_id": "63b755bf-b817-4f73-95fa-9aebd57f49d4",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 7,
      "producer": "pikepdf 8.15.1",
      "title": "GlueNN: gluing patchwise analytic solutions with neural networks",
      "version": "1.7"
    },
    "source": {
      "execution_id": "2a40f5c8-fc9b-4a31-b2e9-151ced78aede",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}