Pith Number
pith:4UEQ66NX
pith:2018:4UEQ66NXDNJF2XLB6FB4RWUFFT
not attested
not anchored
not stored
refs pending
Skin Disease Classification versus Skin Lesion Characterization: Achieving Robust Diagnosis using Multi-label Deep Neural Networks
arxiv:1812.03520 v3 · 2018-12-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4UEQ66NXDNJF2XLB6FB4RWUFFT}
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
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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 | 2026-07-05T04:07:35.197169Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e5090f79b71b525d5d61f143c8da852ce00845e2c383316b5dff799531da5fa6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4UEQ66NXDNJF2XLB6FB4RWUFFT \
| 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: e5090f79b71b525d5d61f143c8da852ce00845e2c383316b5dff799531da5fa6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "44edf539891df3f49be1e2dc10ac072b0e89d00186ada9925b0ba82062f72080",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-09T16:56:14Z",
"title_canon_sha256": "8e1c5c280a312a19076180b98a65ba9002793a4ad9631e6fb89af1be52fdd5be"
},
"schema_version": "1.0",
"source": {
"id": "1812.03520",
"kind": "arxiv",
"version": 3
}
}