Pith Number
pith:C3XNPRYQ
pith:2019:C3XNPRYQAWPTY45E5FNXBQA3BA
not attested
not anchored
not stored
refs pending
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations
arxiv:1905.07499 v1 · 2019-05-17 · stat.CO · cs.LG · stat.ME · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{C3XNPRYQAWPTY45E5FNXBQA3BA}
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 | 2026-05-17T23:45:49.541879Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
16eed7c710059f3c73a4e95b70c01b0801b6d7f730fb57fc73694c74d88ded91
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C3XNPRYQAWPTY45E5FNXBQA3BA \
| 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: 16eed7c710059f3c73a4e95b70c01b0801b6d7f730fb57fc73694c74d88ded91
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15675d4b58e3765f17115bec5bcc4c0a82a50c49cb1ad5175135227f746bc62c",
"cross_cats_sorted": [
"cs.LG",
"stat.ME",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2019-05-17T22:59:56Z",
"title_canon_sha256": "9a169b39c40706ff9656847af66c193ebd409d366b85ac340f98512b078f9070"
},
"schema_version": "1.0",
"source": {
"id": "1905.07499",
"kind": "arxiv",
"version": 1
}
}