2601.20727v1.pdf
Extension
Size
1 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
4e2243656bb0bb7529e46de41603d651622c7e3bd04cc9b001d8eb29ccf0f149
Annotations
Structured records describing the file.
Read moreTitle
Audit Trails for Accountability in Large Language Models
Keywords
AI audit trails, accountability, transparency, traceability, regulatory compliance, large language models (LLMs), data provenance
Version
1.7
Page Count
18
Subject
- Human-centered computing -> Empirical studies in HCI.HCI theory, concepts and models.
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "4e2243656bb0bb7529e46de41603d651622c7e3bd04cc9b001d8eb29ccf0f149",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.20727v1.pdf",
"size": 1260302
},
"source": {
"execution_id": "b367df3f-17f0-416c-a69b-cc1c7f749456",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"creation_date": "2026-01-29T02:03:06Z",
"keywords": [
"AI audit trails",
"accountability",
"transparency",
"traceability",
"regulatory compliance",
"large language models (LLMs)",
"data provenance"
],
"modified_date": "2026-01-29T02:03:06Z",
"page_count": 18,
"producer": "pikepdf 8.15.1",
"subject": "- Human-centered computing -\u003e Empirical studies in HCI.HCI theory, concepts and models.",
"title": "Audit Trails for Accountability in Large Language Models",
"version": "1.7"
},
"source": {
"execution_id": "96e19c9b-b1d8-4c54-a571-15796fa6bf22",
"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:
- 24
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17