Pith Number
pith:DGLB5DJF
pith:2022:DGLB5DJF4PEICR4L7QPAMYQSDY
not attested
not anchored
not stored
refs pending
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
arxiv:2203.08807 v1 · 2022-03-15 · eess.IV · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DGLB5DJF4PEICR4L7QPAMYQSDY}
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 | 2026-07-05T05:01:01.169992Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
19961e8d25e3c881478bfc1e0662121e3b62618135da2dbb4ed687a6e53013f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DGLB5DJF4PEICR4L7QPAMYQSDY \
| 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: 19961e8d25e3c881478bfc1e0662121e3b62618135da2dbb4ed687a6e53013f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "271f4706cde4fca2918c26d5f26463cd7cfeabb6b76b4f3591c6f9c1f2b402ab",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-03-15T20:33:23Z",
"title_canon_sha256": "5dd5a627517af9b9ee6fcd08333a436f26e9d14e3b47fb07520bf7a34a874f4d"
},
"schema_version": "1.0",
"source": {
"id": "2203.08807",
"kind": "arxiv",
"version": 1
}
}