Pith Number
pith:5LJO6754
pith:2018:5LJO6754MHZAU2BL7BFISPWP6V
not attested
not anchored
not stored
refs pending
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training
arxiv:1804.02586 v3 · 2018-04-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5LJO6754MHZAU2BL7BFISPWP6V}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:00:21.592683Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ead2ef7fbc61f20a682bf84a893ecff548f8e8c1546520cbd39c8506e86f461d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5LJO6754MHZAU2BL7BFISPWP6V \
| 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: ead2ef7fbc61f20a682bf84a893ecff548f8e8c1546520cbd39c8506e86f461d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4302b96010ba9f8faa20e5c89f7df1e36b3337049145d929a0f9dd94b31b5bee",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-07T20:09:58Z",
"title_canon_sha256": "c44a9f761faa71f22dca994de8d67167a3aa6be366aa40f9e2e86f1dfa37e1d9"
},
"schema_version": "1.0",
"source": {
"id": "1804.02586",
"kind": "arxiv",
"version": 3
}
}