Pith Number
pith:G5XD7QDM
pith:2016:G5XD7QDMU4PQQFCR2PG4HFWJ4K
not attested
not anchored
not stored
refs pending
Recurrent Fully Convolutional Neural Networks for Multi-slice MRI Cardiac Segmentation
arxiv:1608.03974 v1 · 2016-08-13 · stat.ML · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G5XD7QDMU4PQQFCR2PG4HFWJ4K}
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
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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 | 2026-05-18T01:09:04.526885Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
376e3fc06ca71f081451d3cdc396c9e2841e05cc643679361b34d4adeac43f22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G5XD7QDMU4PQQFCR2PG4HFWJ4K \
| 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: 376e3fc06ca71f081451d3cdc396c9e2841e05cc643679361b34d4adeac43f22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3b567f41e71c32403f035a47d5a655ddaaacbf62b34ffcccd75704453b478132",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-08-13T11:19:22Z",
"title_canon_sha256": "e6770a5f9fb4650cf09a459cfe57f46bfe41142d4125e4eaae48ec0759d490fc"
},
"schema_version": "1.0",
"source": {
"id": "1608.03974",
"kind": "arxiv",
"version": 1
}
}