Pith Number
pith:PSVQDNYA
pith:2019:PSVQDNYAFGLPM4V4V4BVAT5DME
not attested
not anchored
not stored
refs pending
Incorporating prior information and borrowing information in high-dimensional sparse regression using the horseshoe and variational Bayes
arxiv:1901.10217 v1 · 2019-01-29 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PSVQDNYAFGLPM4V4V4BVAT5DME}
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 | 2026-05-17T23:55:15.817238Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7cab01b7002996f672bcaf03504fa36139cf636d707d8556847c0192c7fe206d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PSVQDNYAFGLPM4V4V4BVAT5DME \
| 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: 7cab01b7002996f672bcaf03504fa36139cf636d707d8556847c0192c7fe206d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a586e6b329a5438fb4581f830f8432b26637de053bf720e2602086b8ffcc6895",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2019-01-29T10:58:42Z",
"title_canon_sha256": "9e3e24fce3c6bdc5d27bf1130814cdf51bbfc114af24b74fa75c12aa52171c05"
},
"schema_version": "1.0",
"source": {
"id": "1901.10217",
"kind": "arxiv",
"version": 1
}
}