Pith Number
pith:4RZNBY2J
pith:2022:4RZNBY2JX2I74PTFIW44PN3D2S
not attested
not anchored
not stored
refs pending
Deep learning-based reconstruction of highly accelerated 3D MRI
arxiv:2203.04674 v1 · 2022-03-09 · eess.IV · cs.LG · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4RZNBY2JX2I74PTFIW44PN3D2S}
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
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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.
Receipt and verification
| First computed | 2026-07-05T04:03:21.225693Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e472d0e349be91fe3e6545b9c7b763d4b92c136a0f1c4bbd95eab9e00131d9ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4RZNBY2JX2I74PTFIW44PN3D2S \
| 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: e472d0e349be91fe3e6545b9c7b763d4b92c136a0f1c4bbd95eab9e00131d9ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be6143b1ab8d3f44d84929d80aa33198451d14cc934bb1aae9c8ee399ed3d980",
"cross_cats_sorted": [
"cs.LG",
"physics.med-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-03-09T12:32:28Z",
"title_canon_sha256": "e3b1e68a9ca94ae03866519be376e57bdc64fb46135f4f20145ba789a993a0b6"
},
"schema_version": "1.0",
"source": {
"id": "2203.04674",
"kind": "arxiv",
"version": 1
}
}