Pith Number
pith:AU5ICRES
pith:2023:AU5ICRESV23X7XFE6HKZWFKUWP
not attested
not anchored
not stored
refs pending
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks
arxiv:2302.12084 v1 · 2023-02-23 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AU5ICRESV23X7XFE6HKZWFKUWP}
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 | 2026-07-05T05:44:59.942657Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
053a814492aeb77fdca4f1d59b1554b3c31cb8614a1cf078133c03cac81001df
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AU5ICRESV23X7XFE6HKZWFKUWP \
| 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: 053a814492aeb77fdca4f1d59b1554b3c31cb8614a1cf078133c03cac81001df
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af8ea8d618804f097c39a3b2f3ac48218a875400e6199767149ef145f5ddfe5f",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-02-23T15:16:40Z",
"title_canon_sha256": "4e0c75db7fcf3476c1c8dc02596acf996bf851d3a01f5d3a71b8a67a4090d924"
},
"schema_version": "1.0",
"source": {
"id": "2302.12084",
"kind": "arxiv",
"version": 1
}
}