2601.18848v1.pdf
Extension
Size
63 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
ef87bebeb034b7c6614478ed54f0eb7f3f54cdef3ac8cb89bb3648514c767eb3
Annotations
Structured records describing the file.
Read moreTitle
An Efficient Wavelet-based Physics Informed Residual Neural Networks for Flow Field Reconstruction with Extremely Sparse Data
Version
1.7
Page Count
48
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "ef87bebeb034b7c6614478ed54f0eb7f3f54cdef3ac8cb89bb3648514c767eb3",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.18848v1.pdf",
"size": 65806037
},
"source": {
"execution_id": "836a8ebe-fadb-4dda-a9e9-7cba82b8a07b",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"keywords": [],
"page_count": 48,
"producer": "pikepdf 8.15.1",
"title": "An Efficient Wavelet-based Physics Informed Residual Neural Networks for Flow Field Reconstruction with Extremely Sparse Data",
"version": "1.7"
},
"source": {
"execution_id": "3f978209-4056-42e8-b72d-a1b33d06ee6e",
"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:
- 17
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17