Pith Number
pith:L76NXJWX
pith:2023:L76NXJWXCJCJUPRBBX3XQZR3OS
not attested
not anchored
not stored
refs pending
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation
arxiv:2310.01159 v1 · 2023-10-02 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L76NXJWXCJCJUPRBBX3XQZR3OS}
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 | 2026-07-05T06:56:23.498531Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ffcdba6d712449a3e210df778663b74b3ed38be8d2e381f774aed2fe90ed820
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L76NXJWXCJCJUPRBBX3XQZR3OS \
| 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: 5ffcdba6d712449a3e210df778663b74b3ed38be8d2e381f774aed2fe90ed820
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "27d75f505783e4c175780abb545ec5faa36791d53d3b5d8002541a63d1f9041d",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-10-02T12:45:13Z",
"title_canon_sha256": "d4a6bcda0cc0e6a030982d89ad7bba073bcd9eb9d19d8f393f7bb97fe30a56d1"
},
"schema_version": "1.0",
"source": {
"id": "2310.01159",
"kind": "arxiv",
"version": 1
}
}