Pith Number
pith:KCNUVFDS
pith:2019:KCNUVFDSXCGJKIFJC24YBGTNQV
not attested
not anchored
not stored
refs pending
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis
arxiv:1908.06137 v1 · 2019-08-16 · physics.med-ph · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KCNUVFDSXCGJKIFJC24YBGTNQV}
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 | 2026-07-04T23:58:12.798149Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
509b4a9472b88c9520a916b9809a6d855f341becaaf5a384811bf60a7fa94d56
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KCNUVFDSXCGJKIFJC24YBGTNQV \
| 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: 509b4a9472b88c9520a916b9809a6d855f341becaaf5a384811bf60a7fa94d56
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b1227a37f89c975826be86836834dea309926cc8540b7512279937d749cc22ac",
"cross_cats_sorted": [
"cs.LG",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2019-08-16T19:34:54Z",
"title_canon_sha256": "c314dbfb2b172596d8511344b22dd348d66b2127d9054676f436695541533954"
},
"schema_version": "1.0",
"source": {
"id": "1908.06137",
"kind": "arxiv",
"version": 1
}
}