Pith Number
pith:M6AEVZGI
pith:2017:M6AEVZGIQOOYGKKOIFEAQN7BHN
not attested
not anchored
not stored
refs pending
Scalable Bayesian shrinkage and uncertainty quantification in high-dimensional regression
arxiv:1703.09163 v2 · 2017-03-27 · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M6AEVZGIQOOYGKKOIFEAQN7BHN}
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 | 2026-05-18T00:46:22.169860Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67804ae4c8839d83294e41480837e13b5bbe3917937f3d95de46f9b37256ca96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M6AEVZGIQOOYGKKOIFEAQN7BHN \
| 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: 67804ae4c8839d83294e41480837e13b5bbe3917937f3d95de46f9b37256ca96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c91293a7fab8e10b725c873991f1ea63c5e3f4a0aaa3eb549a331eb8b98d5d65",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2017-03-27T16:14:18Z",
"title_canon_sha256": "119b32d668d4f2cd356f37ed7070b4d9856690ace0fb2ce7fbe7007719ceb726"
},
"schema_version": "1.0",
"source": {
"id": "1703.09163",
"kind": "arxiv",
"version": 2
}
}