Pith Number
pith:YN2NU72E
pith:2016:YN2NU72EJH3WXGDSESZZ2WLIKN
not attested
not anchored
not stored
refs pending
Penalized Maximum Likelihood Estimation of Multi-layered Gaussian Graphical Models
arxiv:1601.00736 v1 · 2016-01-05 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YN2NU72EJH3WXGDSESZZ2WLIKN}
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
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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 | 2026-05-18T01:23:22.025456Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c374da7f4449f76b987224b39d5968537467bef37a84a6e68fb3922fb8e317de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YN2NU72EJH3WXGDSESZZ2WLIKN \
| 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: c374da7f4449f76b987224b39d5968537467bef37a84a6e68fb3922fb8e317de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "30e301da5c49c174f625a10a7db39f6a6ea889e9abde06a6be5408af20e5f0d4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2016-01-05T05:08:33Z",
"title_canon_sha256": "b544d58cb0e9f49c41b9d679b21b531170e9aca44ad16730a88c32397c8c5524"
},
"schema_version": "1.0",
"source": {
"id": "1601.00736",
"kind": "arxiv",
"version": 1
}
}