Pith Number
pith:OXBGBRN6
pith:2017:OXBGBRN6533SFYXYIPN73NCG4K
not attested
not anchored
not stored
refs pending
Cost-Effective Active Learning for Melanoma Segmentation
arxiv:1711.09168 v2 · 2017-11-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OXBGBRN6533SFYXYIPN73NCG4K}
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 | 2026-05-18T00:29:23.996819Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
75c260c5beeef722e2f843dbfdb446e29e7872eaf5bb058a916d7da212af0aa5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OXBGBRN6533SFYXYIPN73NCG4K \
| 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: 75c260c5beeef722e2f843dbfdb446e29e7872eaf5bb058a916d7da212af0aa5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "90d0d1bb27c6add7ef971496ac658e8a365f2fa89bb86f4e7dc71baf87633d2d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-24T23:42:50Z",
"title_canon_sha256": "22937cef35b016d641edfdd7d7bd831971dc9fde28343cc2c04acb48432e07ec"
},
"schema_version": "1.0",
"source": {
"id": "1711.09168",
"kind": "arxiv",
"version": 2
}
}