Pith Number
pith:EDYFDYJ4
pith:2018:EDYFDYJ4GE44D64LNWM2BING4C
not attested
not anchored
not stored
refs pending
Webly Supervised Learning for Skin Lesion Classification
arxiv:1804.00177 v2 · 2018-03-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EDYFDYJ4GE44D64LNWM2BING4C}
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 | 2026-05-17T23:44:38.273498Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
20f051e13c3139c1fb8b6d99a0a1a6e0bac72fee094bea69f1649455ac3370ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EDYFDYJ4GE44D64LNWM2BING4C \
| 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: 20f051e13c3139c1fb8b6d99a0a1a6e0bac72fee094bea69f1649455ac3370ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b8804f6fbbd4a1b8ccd01757ded0652d7def6e0fa7c8542a176fde756941297b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-31T14:13:43Z",
"title_canon_sha256": "c7a4c82db1fc1ddc93e76edca698c1c407a85ad5e7e2f6ba7f2a966a00403f89"
},
"schema_version": "1.0",
"source": {
"id": "1804.00177",
"kind": "arxiv",
"version": 2
}
}