Pith Number
pith:W3L6JSJJ
pith:2023:W3L6JSJJ67ECIQU36EVQLWP7ZF
not attested
not anchored
not stored
refs pending
Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification
arxiv:2305.02491 v1 · 2023-05-04 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W3L6JSJJ67ECIQU36EVQLWP7ZF}
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 | 2026-07-05T06:07:01.545503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b6d7e4c929f7c824429bf12b05d9ffc9467d8c1429876cb3ccb7f0a31b6ebc2a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W3L6JSJJ67ECIQU36EVQLWP7ZF \
| 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: b6d7e4c929f7c824429bf12b05d9ffc9467d8c1429876cb3ccb7f0a31b6ebc2a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d10ca04cdc9ddeb1d28ecfed4a02469a643e31a362a90aadc8d867e93fb45316",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-05-04T01:50:41Z",
"title_canon_sha256": "c6c58a4509a7ca5ad39687173b0107f33e6f36b935038da8c372f8cd0755f377"
},
"schema_version": "1.0",
"source": {
"id": "2305.02491",
"kind": "arxiv",
"version": 1
}
}