2601.21794v1.pdf
Extension
Size
5 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
10f6ddf3766bdc8120b6795b55ac749840660a300699ee8a14ff6ef540a3ede8
Annotations
Structured records describing the file.
Read moreTitle
Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models
Version
1.7
Page Count
14
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "10f6ddf3766bdc8120b6795b55ac749840660a300699ee8a14ff6ef540a3ede8",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.21794v1.pdf",
"size": 4938690
},
"source": {
"execution_id": "7129bfd6-ba22-49a5-89e2-4494feabe8ac",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 14,
"producer": "pikepdf 8.15.1",
"title": "Knowledge Vector Weakening: Efficient Training-free Unlearning for Large Vision-Language Models",
"version": "1.7"
},
"source": {
"execution_id": "957469d7-a378-486c-8d5e-64350e776e78",
"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:
- 20
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17