2601.07054v1.pdf

{
  "dorsal/arxiv": [
    {
      "date_modified": "2026-02-17T05:53:08.878000Z",
      "hash": "23ed6c51e2ef9e787efcf1fb6440e28c7ea8dcd2d42f14cbdca4b52a06a3b07c",
      "id": "4cbc0361-978c-45c3-a07e-45e7069ccf66",
      "source": {
        "execution_id": "172a3f52-d653-49e4-ae82-00db800cc71c",
        "id": "arXiv Dataset",
        "type": "Model",
        "variant": "snapshot-2026-01-17",
        "version": "0.1.0"
      },
      "user_id": 1000002
    }
  ],
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "23ed6c51e2ef9e787efcf1fb6440e28c7ea8dcd2d42f14cbdca4b52a06a3b07c",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.07054v1.pdf",
      "size": 4035416
    },
    "source": {
      "execution_id": "d6f75454-ac0d-4998-a218-fc18d11123f6",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "keywords": [],
      "page_count": 6,
      "producer": "pikepdf 8.15.1",
      "title": "Fine-Tuning vs. RAG for Multi-Hop Question Answering with Novel Knowledge",
      "version": "1.7"
    },
    "source": {
      "execution_id": "52d2b2da-1c86-4592-b40b-14eda8feb659",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}