2601.18921v1.pdf

{
  "file/base": {
    "record": {
      "extension": ".pdf",
      "hash": "8004c7f18717bcc241ced2cfe63e46dd91cbf2dbd489e506a370349b0372bc28",
      "media_type": "application/pdf",
      "media_type_prefix": "application",
      "name": "2601.18921v1.pdf",
      "size": 589384
    },
    "source": {
      "execution_id": "b357ebbf-b688-4d4d-b4e7-70e08870a8f6",
      "id": "file/base",
      "type": "Model",
      "version": "1.0.0"
    }
  },
  "file/pdf": {
    "private": false,
    "record": {
      "creation_date": "2026-01-26T19:35:57Z",
      "keywords": [
        "\"Cheminformatics",
        "Data Integration",
        "Indexing Architecture",
        "Molecular Databases",
        "Big Data\""
      ],
      "modified_date": "2026-01-26T19:37:27Z",
      "page_count": 6,
      "producer": "Adobe PDF Library 25.1.211",
      "title": "Accelerating Large-Scale Cheminformatics Using a Byte-Offset Indexing Architecture for Terabyte-Scale Data Integration",
      "version": "1.6"
    },
    "source": {
      "execution_id": "00f356eb-3781-4446-860e-26cf8315fcaa",
      "id": "dorsal/pdf",
      "type": "Model",
      "version": "1.1.0"
    }
  }
}