Pith Number
pith:F2JZJAGT
pith:2025:F2JZJAGT654AOWMF4K63MQHMR6
not attested
not anchored
not stored
refs pending
Domain Adaptive Skin Lesion Classification via Conformal Ensemble of Vision Transformers
arxiv:2505.15997 v1 · 2025-05-21 · cs.CV · cs.AI · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F2JZJAGT654AOWMF4K63MQHMR6}
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
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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 | 2026-07-05T11:07:28.426379Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e939480d3f778075985e2bdb640ec8f8025967a28b957527f92e6000f789afd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F2JZJAGT654AOWMF4K63MQHMR6 \
| 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: 2e939480d3f778075985e2bdb640ec8f8025967a28b957527f92e6000f789afd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0ff8fc8252287a937e46656f72b4a23758b19fd569ee19601b4836149706a5a1",
"cross_cats_sorted": [
"cs.AI",
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-21T20:28:43Z",
"title_canon_sha256": "742f6bbcfa2801670bdca8970fdbb1c26db9e22f7cdeea205e29f8304d3e7889"
},
"schema_version": "1.0",
"source": {
"id": "2505.15997",
"kind": "arxiv",
"version": 1
}
}