2601.18728v1.pdf
Extension
Size
2 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
b75797ea56ee6483a141b59ea36f4fa15376edf9e1222c261f62cbb7214a85ad
Annotations
Structured records describing the file.
Read moreTitle
Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data
Version
1.7
Page Count
30
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "b75797ea56ee6483a141b59ea36f4fa15376edf9e1222c261f62cbb7214a85ad",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.18728v1.pdf",
"size": 2486114
},
"source": {
"execution_id": "39afd62a-68ef-487a-976e-782b647878e9",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 30,
"producer": "pikepdf 8.15.1",
"title": "Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data",
"version": "1.7"
},
"source": {
"execution_id": "97170556-99eb-4e52-b2a3-c21d79dc2a0e",
"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:
- 16
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17