Pith Number
pith:WGGN7GO6
pith:2017:WGGN7GO6SEEP6AD5I4YMN4MAYL
not attested
not anchored
not stored
refs pending
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization
arxiv:1704.03660 v1 · 2017-04-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WGGN7GO6SEEP6AD5I4YMN4MAYL}
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 | 2026-05-18T00:46:27.212632Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b18cdf99de9108ff007d4730c6f180c2ca51cd1062d20c4a2bf2877934bcb417
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WGGN7GO6SEEP6AD5I4YMN4MAYL \
| 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: b18cdf99de9108ff007d4730c6f180c2ca51cd1062d20c4a2bf2877934bcb417
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3956ef3675556d29d3b63b6e3b5ba320b1c77fd4dd42e1c2272c9d713a94982",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-12T08:43:35Z",
"title_canon_sha256": "4bf6ba9269ae4c43e8d3bbe7dd616dcadd16ae72d0129c0fbdd26cccbe4c1eaa"
},
"schema_version": "1.0",
"source": {
"id": "1704.03660",
"kind": "arxiv",
"version": 1
}
}