Pith Number
pith:GPIGJXNU
pith:2022:GPIGJXNUUTOHQL6DURVM426S32
not attested
not anchored
not stored
refs pending
Self-semantic contour adaptation for cross modality brain tumor segmentation
arxiv:2201.05022 v1 · 2022-01-13 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GPIGJXNUUTOHQL6DURVM426S32}
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 | 2026-07-05T03:48:15.382722Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33d064ddb4a4dc782fc3a46ace6bd2de8d5d65d60cba9c754b9ef678d8015776
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GPIGJXNUUTOHQL6DURVM426S32 \
| 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: 33d064ddb4a4dc782fc3a46ace6bd2de8d5d65d60cba9c754b9ef678d8015776
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3af0a5dcd466386b7d9579ed1fd02b2de036524fb49ec95427076bee5cb8b78b",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-01-13T15:16:55Z",
"title_canon_sha256": "454f245cca9ad224683dc4030f095630a292d37f57aa4c11e6d43bf560e06366"
},
"schema_version": "1.0",
"source": {
"id": "2201.05022",
"kind": "arxiv",
"version": 1
}
}