Pith Number
pith:25PICIMG
pith:2016:25PICIMGDO4XMBPQQLNMD5TUGJ
not attested
not anchored
not stored
refs pending
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
arxiv:1610.04662 v2 · 2016-10-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{25PICIMGDO4XMBPQQLNMD5TUGJ}
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 | 2026-05-18T01:01:59.685245Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d75e8121861bb97605f082dac1f6743244b0e4cc20154f5090ced3c2a9f58107
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/25PICIMGDO4XMBPQQLNMD5TUGJ \
| 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: d75e8121861bb97605f082dac1f6743244b0e4cc20154f5090ced3c2a9f58107
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a744895241dfacc7ce3d95888107ae9ade10c1e685bbd9e4ec112a157f59c92",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-10-14T22:31:34Z",
"title_canon_sha256": "3785fcc6de4d72be85bef260dd9eca0d085436f7873a0018a6a615258b2dc842"
},
"schema_version": "1.0",
"source": {
"id": "1610.04662",
"kind": "arxiv",
"version": 2
}
}