2601.11479v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "8a347e0a9c92fd52c96cb1ef34047d5618c8e74757b3f6cf1608b5d8ea64ba34",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.11479v1.pdf",
      "size": 3720624
    },
    "source": {
      "execution_id": "e28c9423-1199-401f-838d-116f390ab9de",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-19T02:04:03Z",
      "keywords": [
        "Health Facility Location",
        "Optimization",
        "Human expert knowledge",
        "Alignment",
        "LLM"
      ],
      "modified_date": "2026-01-19T02:04:03Z",
      "page_count": 14,
      "producer": "pikepdf 8.15.1",
      "title": "Health Facility Location in Ethiopia: Leveraging LLMs to Integrate Expert Knowledge into Algorithmic Planning",
      "version": "1.7"
    },
    "source": {
      "execution_id": "44dfbea6-13fb-4d68-b8cc-d4a2a424c390",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}