Pith Number
pith:IOXMYRIG
pith:2018:IOXMYRIGXLA7NJIPYV3EN54LQ6
not attested
not anchored
not stored
refs pending
WonDerM: Skin Lesion Classification with Fine-tuned Neural Networks
arxiv:1808.03426 v3 · 2018-08-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IOXMYRIGXLA7NJIPYV3EN54LQ6}
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 | 2026-05-17T23:46:36.199092Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43aecc4506bac1f6a50fc57646f78b87954cea47f69e59d7a61fd291feae1e10
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IOXMYRIGXLA7NJIPYV3EN54LQ6 \
| 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: 43aecc4506bac1f6a50fc57646f78b87954cea47f69e59d7a61fd291feae1e10
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3b3624e7cbea917fe2759d1935bbf49fdb66086517743a73ff17fc7ea4199a4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-08-10T06:40:58Z",
"title_canon_sha256": "7bfd142eb8c447372aaaebec6004a430ea497d30334145d44e3f0eb1bc9c2083"
},
"schema_version": "1.0",
"source": {
"id": "1808.03426",
"kind": "arxiv",
"version": 3
}
}