Pith Number
pith:5ACGTR7A
pith:2020:5ACGTR7AJ67HI2YF3TFZCORODP
not attested
not anchored
not stored
refs pending
Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection
arxiv:2002.02919 v1 · 2020-02-07 · stat.CO · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5ACGTR7AJ67HI2YF3TFZCORODP}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T00:39:06.363638Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e80469c7e04fbe746b05dccb913a2e1bd69026da8f1dc6021273741e1566234e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5ACGTR7AJ67HI2YF3TFZCORODP \
| 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: e80469c7e04fbe746b05dccb913a2e1bd69026da8f1dc6021273741e1566234e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "53bbf0df125d79ac0ce971c2c3ed13fec28a1162bf420a637bffaafb1f703911",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2020-02-07T17:47:07Z",
"title_canon_sha256": "6d1ae7a15d4ec52d20656342742fed16c888e054a9c9aa56d3fe484d445e3194"
},
"schema_version": "1.0",
"source": {
"id": "2002.02919",
"kind": "arxiv",
"version": 1
}
}