Pith Number
pith:RF3MNAX2
pith:2021:RF3MNAX2H46MSNMDHMAOBM46L7
not attested
not anchored
not stored
refs pending
A Bayesian approach for partial Gaussian graphical models with sparsity
arxiv:2105.10888 v2 · 2021-05-23 · stat.ME · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RF3MNAX2H46MSNMDHMAOBM46L7}
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 | 2026-07-05T03:39:59.376633Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8976c682fa3f3cc935833b00e0b39e5fce0bb0fdf826f0408fb7b2ad24fd7503
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RF3MNAX2H46MSNMDHMAOBM46L7 \
| 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: 8976c682fa3f3cc935833b00e0b39e5fce0bb0fdf826f0408fb7b2ad24fd7503
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af286132c04f536be1891a12b62c4e924d1f354b2560c2edd66e6196a0ed248e",
"cross_cats_sorted": [
"math.ST",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2021-05-23T08:47:44Z",
"title_canon_sha256": "1407120461e9cc0d7d277595d23723454cdd7d9133622933e19e4c6321608c56"
},
"schema_version": "1.0",
"source": {
"id": "2105.10888",
"kind": "arxiv",
"version": 2
}
}