Pith Number
pith:AANAZCC6
pith:2019:AANAZCC6AA3I465TJAVNUIKAFY
not attested
not anchored
not stored
refs pending
An Unsupervised Deep Learning Method for Multi-coil Cine MRI
arxiv:1912.12177 v3 · 2019-12-20 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AANAZCC6AA3I465TJAVNUIKAFY}
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 | 2026-07-05T02:02:19.281146Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
001a0c885e00368e7bb3482ada21402e2d9696915486a09de1f5b98092bc6d04
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AANAZCC6AA3I465TJAVNUIKAFY \
| 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: 001a0c885e00368e7bb3482ada21402e2d9696915486a09de1f5b98092bc6d04
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d3a53d0fdaf2177561859e321d9c1098aaa57f4dd2b2ec7b546f0c3c190c8232",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-12-20T08:19:41Z",
"title_canon_sha256": "bb9d2ffbe8bb902bd45ff68f32f06cb8bf5f12fe82a835a183e7de8e3ab19b67"
},
"schema_version": "1.0",
"source": {
"id": "1912.12177",
"kind": "arxiv",
"version": 3
}
}