2601.11920v1.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
6c4d73eb21e40d209456e09a7757956affd585c51068710c0802dcf513e3c080
Annotations
Structured records describing the file.
Read moreTitle
Enhancing LLM-Based Data Annotation with Error Decomposition
Keywords
Data Annotation, Qualitative Coding, Large Language Models, Human-AI Collaboration
Version
1.7
Page Count
11
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "6c4d73eb21e40d209456e09a7757956affd585c51068710c0802dcf513e3c080",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.11920v1.pdf",
"size": 3202547
},
"source": {
"execution_id": "9e4ef3bc-1591-4aa4-9253-6a29723e5ac5",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"creation_date": "2026-01-21T01:23:43Z",
"keywords": [
"Data Annotation",
"Qualitative Coding",
"Large Language Models",
"Human-AI Collaboration"
],
"modified_date": "2026-01-21T01:23:43Z",
"page_count": 11,
"producer": "pikepdf 8.15.1",
"title": "Enhancing LLM-Based Data Annotation with Error Decomposition",
"version": "1.7"
},
"source": {
"execution_id": "3cf13c00-7674-48f1-b12e-6d9e67ee5a1d",
"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:
- 37
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17