2601.19286v1.pdf
Extension
Size
3 MiB
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
6146044d2b378abf9088fcf8fcda28241adbeaeea3daf347a836ea15f9b90bff
Annotations
Structured records describing the file.
Read moreTitle
ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction
Version
1.5
Page Count
11
Subject
- Computing methodologies -> Natural language processing.
Producer
pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023) kpathsea version 6.3.5
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "6146044d2b378abf9088fcf8fcda28241adbeaeea3daf347a836ea15f9b90bff",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.19286v1.pdf",
"size": 2957055
},
"source": {
"execution_id": "183943dd-a694-4e71-b481-8ce5f2d5af3e",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"creation_date": "2026-01-28T01:37:38Z",
"keywords": [],
"modified_date": "2026-01-28T01:37:38Z",
"page_count": 11,
"producer": "pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023) kpathsea version 6.3.5",
"subject": "- Computing methodologies -\u003e Natural language processing.",
"title": "ReToP: Learning to Rewrite Electronic Health Records for Clinical Prediction",
"version": "1.5"
},
"source": {
"execution_id": "759bc4f1-3ff9-4e0a-a9f2-d407e44d1183",
"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:
- 16
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17