Pith Number
pith:RBY6XG5J
pith:2022:RBY6XG5JL2RO6OKM644DMSRAOA
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not anchored
not stored
refs pending
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
arxiv:2207.07303 v1 · 2022-07-15 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RBY6XG5JL2RO6OKM644DMSRAOA}
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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4
Citations
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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 | 2026-07-05T04:40:30.984572Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8871eb9ba95ea2ef394cf738364a20701e5c4027de46908925a5f1568d6f161d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RBY6XG5JL2RO6OKM644DMSRAOA \
| 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: 8871eb9ba95ea2ef394cf738364a20701e5c4027de46908925a5f1568d6f161d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "181df43ca0d261a18c9e1d16170c7e4d804b7de11c53486ac54d0213b0618168",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-07-15T06:07:11Z",
"title_canon_sha256": "a24950b6a9ccebdcb47cf30e6dab30916259495ba2b7ea7ddb42ef075a0e5e31"
},
"schema_version": "1.0",
"source": {
"id": "2207.07303",
"kind": "arxiv",
"version": 1
}
}