Pith Number
pith:IF6P6LIY
pith:2017:IF6P6LIYOC4JPPKVYW6V2BT5WG
not attested
not anchored
not stored
refs pending
Skin Lesion Classification Using Hybrid Deep Neural Networks
arxiv:1702.08434 v2 · 2017-02-27 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IF6P6LIYOC4JPPKVYW6V2BT5WG}
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 | 2026-05-17T23:47:49.355574Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
417cff2d1870b897bd55c5bd5d067db1b8b8e326f3290c09eb059701e74501be
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IF6P6LIYOC4JPPKVYW6V2BT5WG \
| 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: 417cff2d1870b897bd55c5bd5d067db1b8b8e326f3290c09eb059701e74501be
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3b33bf67b117422fea722e30b64d9e30793f4d8770b456416b26e8af81e8c873",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-27T18:54:41Z",
"title_canon_sha256": "0e4f48f5e7ff868d3db09fa7b084b9025c8b02e8fb06e33253d33b276950358d"
},
"schema_version": "1.0",
"source": {
"id": "1702.08434",
"kind": "arxiv",
"version": 2
}
}