2601.10917v2.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
9d2f7ecb39dce219b8f2f30381bb2bc229ceb4b75de94157a6d1dfc00dc1f5b8
Annotations
Structured records describing the file.
Read moreTitle
Self-learned representation-guided latent diffusion model for breast cancer classification in deep ultraviolet whole surface images
Version
1.7
Page Count
5
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "9d2f7ecb39dce219b8f2f30381bb2bc229ceb4b75de94157a6d1dfc00dc1f5b8",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.10917v2.pdf",
"size": 5514049
},
"source": {
"execution_id": "11743f60-c561-4536-8a20-38ccace89482",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 5,
"producer": "pikepdf 8.15.1",
"title": "Self-learned representation-guided latent diffusion model for breast cancer classification in deep ultraviolet whole surface images",
"version": "1.7"
},
"source": {
"execution_id": "f4e705d2-6b21-4a86-86e8-00640090dd9a",
"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:
- 38
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17