2601.10765v1.pdf
Extension
Size
354 KiB
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
87db8852246c282ad9c0cdb1bd6a64cc5a59dabd8df2d2d8ed6b868c1b6b7e2f
Annotations
Structured records describing the file.
Read moreTitle
Pruning as Evolution: Emergent Sparsity Through Selection Dynamics in Neural Networks
Version
1.7
Page Count
18
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "87db8852246c282ad9c0cdb1bd6a64cc5a59dabd8df2d2d8ed6b868c1b6b7e2f",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.10765v1.pdf",
"size": 362026
},
"source": {
"execution_id": "aa83ef0b-4e24-463f-9bfa-ff91868b7797",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 18,
"producer": "pikepdf 8.15.1",
"title": "Pruning as Evolution: Emergent Sparsity Through Selection Dynamics in Neural Networks",
"version": "1.7"
},
"source": {
"execution_id": "a1b26db1-e3d1-43d5-9f57-925d16688e55",
"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:
- 36
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17