Pith Number
pith:OLVG2A3K
pith:2018:OLVG2A3KDPO5ROEINWR5IGNXGH
not attested
not anchored
not stored
refs pending
BoxNet: Deep Learning Based Biomedical Image Segmentation Using Boxes Only Annotation
arxiv:1806.00593 v1 · 2018-06-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OLVG2A3KDPO5ROEINWR5IGNXGH}
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 | 2026-05-18T00:14:18.980131Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72ea6d036a1bddd8b8886da3d419b731e2f22cf0ed0a0779236932280f2afabd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OLVG2A3KDPO5ROEINWR5IGNXGH \
| 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: 72ea6d036a1bddd8b8886da3d419b731e2f22cf0ed0a0779236932280f2afabd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "327549c5242684e2ea1c4b341e0b275fd1eadc28528371286f269c745370be0e",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-06-02T07:10:30Z",
"title_canon_sha256": "33abf3f1c6922e2810dbc1ef8b678975f7be581eb01a953d9e7d36168a619a0a"
},
"schema_version": "1.0",
"source": {
"id": "1806.00593",
"kind": "arxiv",
"version": 1
}
}