Pith Number
pith:FQL2UW6P
pith:2019:FQL2UW6PVGKYVJY4X7PUOQECR5
not attested
not anchored
not stored
refs pending
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks
arxiv:1912.08350 v1 · 2019-12-16 · eess.IV · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FQL2UW6PVGKYVJY4X7PUOQECR5}
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 | 2026-07-05T00:27:02.009659Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c17aa5bcfa9958aa71cbfdf4740828f42943e9f1e1b2cd492a2965b9fc0512f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FQL2UW6PVGKYVJY4X7PUOQECR5 \
| 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: 2c17aa5bcfa9958aa71cbfdf4740828f42943e9f1e1b2cd492a2965b9fc0512f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e2f5b1993ea65d726c1ec463aa11a49d3ca7b3152ff42956d352dfb4e0521944",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-12-16T20:15:44Z",
"title_canon_sha256": "2b2b844547dfda21c9174f689380244d769ea2646587c0b803452c5284bc0be9"
},
"schema_version": "1.0",
"source": {
"id": "1912.08350",
"kind": "arxiv",
"version": 1
}
}