2601.21452v1.pdf
Extension
Size
8 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
5a00c1d95021fe599e26befb55cb56e2795c9416cdc370f9a1a2b227f12c62cb
Annotations
Structured records describing the file.
Read moreTitle
SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation
Keywords
Generative Recommender Systems, Reinforcement Learning
Version
1.7
Page Count
8
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "5a00c1d95021fe599e26befb55cb56e2795c9416cdc370f9a1a2b227f12c62cb",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.21452v1.pdf",
"size": 8540641
},
"source": {
"execution_id": "b36d889e-64b1-43a9-85a4-d289425e6de7",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"creation_date": "2026-01-30T01:43:12Z",
"keywords": [
"Generative Recommender Systems",
"Reinforcement Learning"
],
"modified_date": "2026-01-30T01:43:12Z",
"page_count": 8,
"producer": "pikepdf 8.15.1",
"title": "SAGE: Sequence-level Adaptive Gradient Evolution for Generative Recommendation",
"version": "1.7"
},
"source": {
"execution_id": "9f9e21c8-75d8-4d7e-8d0b-53b38f736d6b",
"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