Pith Number
pith:6XZIUDPH
pith:2024:6XZIUDPHOZKDKL5UN767HFJ2R5
not attested
not anchored
not stored
refs pending
Data and Physics driven Deep Learning Models for Fast MRI Reconstruction: Fundamentals and Methodologies
arxiv:2401.16564 v2 · 2024-01-29 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6XZIUDPHOZKDKL5UN767HFJ2R5}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:24:32.343474Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5f28a0de77654352fb46ffdf3953a8f7c0b2535ac54ef40a5cd9b26cc5494a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6XZIUDPHOZKDKL5UN767HFJ2R5 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f5f28a0de77654352fb46ffdf3953a8f7c0b2535ac54ef40a5cd9b26cc5494a9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d82e58ba8cea509ed21e4a9866d8bbb528f1d7613e19cb161d64036669aac9f1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2024-01-29T21:00:42Z",
"title_canon_sha256": "dd1b7474fa0a159f4750355606d213840474fad4edb13bd7c89bf30ea870dcc1"
},
"schema_version": "1.0",
"source": {
"id": "2401.16564",
"kind": "arxiv",
"version": 2
}
}