Pith Number
pith:4O3VJ636
pith:2022:4O3VJ636ZBLEVLQL6MN6EWZFPX
not attested
not anchored
not stored
refs pending
Convolutional neural networks for medical image segmentation
arxiv:2211.09562 v1 · 2022-11-17 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4O3VJ636ZBLEVLQL6MN6EWZFPX}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:17:03.720331Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e3b754fb7ec8564aae0bf31be25b257df347e76129e888c60961a577541038de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4O3VJ636ZBLEVLQL6MN6EWZFPX \
| 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: e3b754fb7ec8564aae0bf31be25b257df347e76129e888c60961a577541038de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0c383ff00df9ca2d77a2f488380e1a6d7e53c23bcbe635127eb0e56bef427a1e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-11-17T14:32:01Z",
"title_canon_sha256": "670dbadaaadfbc4224c1fecffcc51d3c75030e8b263b1e6fd624a348bfa8710e"
},
"schema_version": "1.0",
"source": {
"id": "2211.09562",
"kind": "arxiv",
"version": 1
}
}