Pith Number
pith:3FYOMFVQ
pith:2017:3FYOMFVQXX24V6NOZWBJY4IPDJ
not attested
not anchored
not stored
refs pending
Automatic Myocardial Segmentation by Using A Deep Learning Network in Cardiac MRI
arxiv:1708.07452 v1 · 2017-08-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3FYOMFVQXX24V6NOZWBJY4IPDJ}
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
✓
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 | 2026-05-18T00:36:44.298361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d970e616b0bdf5caf9aecd829c710f1a731a6413c53579096287920822e37fbb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3FYOMFVQXX24V6NOZWBJY4IPDJ \
| 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: d970e616b0bdf5caf9aecd829c710f1a731a6413c53579096287920822e37fbb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "64268cedb940171688468452f9ac03c9aa52ba7f7dc6bb3dc7282597265cfeca",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-08-24T15:19:04Z",
"title_canon_sha256": "f7baee2081d044dfd138a476dddbe76f23f94571e969738f67d7195c0194f16b"
},
"schema_version": "1.0",
"source": {
"id": "1708.07452",
"kind": "arxiv",
"version": 1
}
}