Pith Number
pith:JENCAYFS
pith:2023:JENCAYFSF3OJD7ZXWKPQTWNRJI
not attested
not anchored
not stored
refs pending
Learning Robust Medical Image Segmentation from Multi-source Annotations
arxiv:2304.00466 v2 · 2023-04-02 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JENCAYFSF3OJD7ZXWKPQTWNRJI}
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 | 2026-07-05T07:11:34.310487Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
491a2060b22edc91ff37b29f09d9b14a225ae18dafc4976eb2d4c6c7069d4a00
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JENCAYFSF3OJD7ZXWKPQTWNRJI \
| 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: 491a2060b22edc91ff37b29f09d9b14a225ae18dafc4976eb2d4c6c7069d4a00
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b7ea7a8f04d8416dc50a4d13dae54ee570e5ae98d4804c017a89427dfccd9a14",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-04-02T06:43:09Z",
"title_canon_sha256": "253e33ce362699da3468ad1650b166bf127eb417df51d851f3f9d2426f573a08"
},
"schema_version": "1.0",
"source": {
"id": "2304.00466",
"kind": "arxiv",
"version": 2
}
}