Pith Number
pith:GCMNEFFH
pith:2024:GCMNEFFHQ53NBRP2AKPCLQ5HRS
not attested
not anchored
not stored
refs pending
Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
arxiv:2409.14113 v1 · 2024-09-21 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GCMNEFFHQ53NBRP2AKPCLQ5HRS}
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.
Receipt and verification
| First computed | 2026-07-05T09:10:11.924726Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3098d214a78776d0c5fa029e25c3a78caeb5589da4f961dfaeb448d7cd8fad0c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GCMNEFFHQ53NBRP2AKPCLQ5HRS \
| 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: 3098d214a78776d0c5fa029e25c3a78caeb5589da4f961dfaeb448d7cd8fad0c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "353479f0f72c584f56513fedd6c4a77d6252b93b254d9426ac7abba0694901a3",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-09-21T12:02:47Z",
"title_canon_sha256": "88052067c00d7372bbfb0132b26afaf1a07909bf4592127df56f97f83f80c8eb"
},
"schema_version": "1.0",
"source": {
"id": "2409.14113",
"kind": "arxiv",
"version": 1
}
}