Pith Number
pith:YCN2K7UN
pith:2018:YCN2K7UNP4FEQAHGDBWTYRJXVK
not attested
not anchored
not stored
refs pending
Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data
arxiv:1808.06452 v1 · 2018-08-20 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YCN2K7UNP4FEQAHGDBWTYRJXVK}
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 | 2026-07-04T23:55:08.246632Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c09ba57e8d7f0a4800e6186d3c4537aaba0205db09dbe2439ba18c5d83ce38ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YCN2K7UNP4FEQAHGDBWTYRJXVK \
| 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: c09ba57e8d7f0a4800e6186d3c4537aaba0205db09dbe2439ba18c5d83ce38ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b90025249db70403c46bfe082a1be5d9e4d25f648ec4342e9b9d5af16b7eed7f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-08-20T13:54:03Z",
"title_canon_sha256": "ced5a18bea16cfc8013868890266dc211c5ce247c8c055ba5f80a9aa5c249f40"
},
"schema_version": "1.0",
"source": {
"id": "1808.06452",
"kind": "arxiv",
"version": 1
}
}