Pith Number
pith:3QNPSO27
pith:2017:3QNPSO272FBC5GPBN6DFYPCPWK
not attested
not anchored
not stored
refs pending
Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data
arxiv:1710.03627 v1 · 2017-10-10 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3QNPSO272FBC5GPBN6DFYPCPWK}
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 | 2026-05-18T00:33:11.178892Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dc1af93b5fd1422e99e16f865c3c4fb2ad12f2a05d2458225f3d3753fc8d5694
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3QNPSO272FBC5GPBN6DFYPCPWK \
| 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: dc1af93b5fd1422e99e16f865c3c4fb2ad12f2a05d2458225f3d3753fc8d5694
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "011907c9eae94bcbe00bba41b8244b1a8ce8bb059577a5c57428beca928d4b7b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-10-10T14:39:18Z",
"title_canon_sha256": "210f7903e598b66950ea7340eb5c67bbe773ab63f92c4de96bc2ea3e02f6c6ba"
},
"schema_version": "1.0",
"source": {
"id": "1710.03627",
"kind": "arxiv",
"version": 1
}
}