Pith Number
pith:5JPX3ECR
pith:2017:5JPX3ECRLNLRUR2L7VE6HKHT3V
not attested
not anchored
not stored
refs pending
Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks
arxiv:1703.01402 v1 · 2017-03-04 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5JPX3ECRLNLRUR2L7VE6HKHT3V}
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 | 2026-05-18T00:49:30.867210Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea5f7d90515b571a474bfd49e3a8f3dd47f7dab405a5b546313eb67c9b7fa728
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5JPX3ECRLNLRUR2L7VE6HKHT3V \
| 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: ea5f7d90515b571a474bfd49e3a8f3dd47f7dab405a5b546313eb67c9b7fa728
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4281053b272fbf21cf228b7d1cd98de2587069550447bc8b08a71f6c18fc8b0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-04T06:32:15Z",
"title_canon_sha256": "3b1ae13b3110bc3274bb30e9625280cd8660c9280e87270a1e55d9d0ec4480e8"
},
"schema_version": "1.0",
"source": {
"id": "1703.01402",
"kind": "arxiv",
"version": 1
}
}