Pith Number
pith:EKWPY3I4
pith:2024:EKWPY3I4JI2QFOZDHDXNK5HPMP
not attested
not anchored
not stored
refs pending
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms
arxiv:2401.01200 v1 · 2024-01-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EKWPY3I4JI2QFOZDHDXNK5HPMP}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:29:35.324503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
22acfc6d1c4a3502bb2338eed574ef63eab54abf4f3d4332503f66b2f7463c02
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EKWPY3I4JI2QFOZDHDXNK5HPMP \
| 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: 22acfc6d1c4a3502bb2338eed574ef63eab54abf4f3d4332503f66b2f7463c02
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ebbf03b562cd33e5379c6b0d805ea819fec49c2f4df5cced473227b28976651a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-01-02T13:03:39Z",
"title_canon_sha256": "37d3b3b1adfdd46183b739b98bda47e878a6b30441dd13420523c3d50b0c0398"
},
"schema_version": "1.0",
"source": {
"id": "2401.01200",
"kind": "arxiv",
"version": 1
}
}