Pith Number
pith:I3J5NLCZ
pith:2016:I3J5NLCZQAF6X2EXKXSGVJ7ANK
not attested
not anchored
not stored
refs pending
Sparse principal component regression for generalized linear models
arxiv:1609.08886 v3 · 2016-09-28 · stat.ML · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{I3J5NLCZQAF6X2EXKXSGVJ7ANK}
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 | 2026-05-18T00:19:42.634360Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
46d3d6ac59800bebe89755e46aa7e06ab0a1dee4832bfce0e126eab40ceb6f6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/I3J5NLCZQAF6X2EXKXSGVJ7ANK \
| 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: 46d3d6ac59800bebe89755e46aa7e06ab0a1dee4832bfce0e126eab40ceb6f6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4dd7aa6592718c49f7feee5ad4efa081a0b48c28e15a1c5586402dc8cbd460c3",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-09-28T12:33:42Z",
"title_canon_sha256": "6f704801bcfdb7e418b886663f9794f1cab3d371f3af2410fcd88b99fb0a30e3"
},
"schema_version": "1.0",
"source": {
"id": "1609.08886",
"kind": "arxiv",
"version": 3
}
}