Pith Number
pith:UJ46HC2W
pith:2022:UJ46HC2WO7HTLKOAMDKMH45EXO
not attested
not anchored
not stored
refs pending
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
arxiv:2207.03342 v1 · 2022-07-06 · cs.CV · cs.AI · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UJ46HC2WO7HTLKOAMDKMH45EXO}
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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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:38:21.360045Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a279e38b5677cf35a9c060d4c3f3a4bbb40cf50e394b30815244ec8ec103043e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UJ46HC2WO7HTLKOAMDKMH45EXO \
| 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: a279e38b5677cf35a9c060d4c3f3a4bbb40cf50e394b30815244ec8ec103043e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ddc785f45a419682d273071f16260359539812492a2570c515ec3771206f870a",
"cross_cats_sorted": [
"cs.AI",
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-07-06T09:09:28Z",
"title_canon_sha256": "46f05062dc86b70ed79867907d63653ce6f5fce604aa11ac6db894d930958a4c"
},
"schema_version": "1.0",
"source": {
"id": "2207.03342",
"kind": "arxiv",
"version": 1
}
}