Pith Number
pith:42SMWA4H
pith:2024:42SMWA4HMRBCZ7IPQW7K5R57EA
not attested
not anchored
not stored
refs pending
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation
arxiv:2407.10157 v2 · 2024-07-14 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{42SMWA4HMRBCZ7IPQW7K5R57EA}
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 | 2026-07-05T10:10:41.929235Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e6a4cb038764422cfd0f85beaec7bf202d562df8ceb9e75fc256f1367d8ba0fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/42SMWA4HMRBCZ7IPQW7K5R57EA \
| 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: e6a4cb038764422cfd0f85beaec7bf202d562df8ceb9e75fc256f1367d8ba0fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9037436729f88a2513daf0c2e7335f1c2e8e81358aa081fa9d4ed1f66f56766e",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-07-14T10:58:09Z",
"title_canon_sha256": "51c8d4d865e0b1e41d4ebc471cf6203b5332b31282ca20c91c28b564289c1332"
},
"schema_version": "1.0",
"source": {
"id": "2407.10157",
"kind": "arxiv",
"version": 2
}
}