2601.20674v1.pdf
Extension
Size
416 KiB
Media Type
application/pdf
SHA-256 is a widely used cryptographic hash function.
This sequence of letters and numbers can be used as a unique identifier for this file
File Hash: SHA-256
800d1aef9a9fd6592eb82fc387b1ded5926fbc7a5b5be6694793f18734067413
Annotations
Structured records describing the file.
Read moreTitle
Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data Science
Version
1.4
Page Count
11
Producer
Skia/PDF m146 Google Docs Renderer
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "800d1aef9a9fd6592eb82fc387b1ded5926fbc7a5b5be6694793f18734067413",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.20674v1.pdf",
"size": 426486
},
"source": {
"execution_id": "b9a8b573-78d2-41ce-9e14-f157ab5a4e90",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 11,
"producer": "Skia/PDF m146 Google Docs Renderer",
"title": "Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data Science",
"version": "1.4"
},
"source": {
"execution_id": "d0c381db-ee29-4470-b804-1de5be0f302a",
"id": "dorsal/pdf",
"type": "Model",
"version": "1.1.0"
}
}
}
The number of unique users who have indexed this public file record
The date this file's metadata was first publicly indexed by any user.
The most recent date this file's metadata was publicly indexed by any user.
File Statistics
- Views:
- 23
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17