Pith Number
pith:MXJU6TKL
pith:2014:MXJU6TKL5BDFNJ6X6XTQLWRL6H
not attested
not anchored
not stored
refs pending
Estimation of positive definite M-matrices and structure learning for attractive Gaussian Markov Random fields
arxiv:1404.6640 v1 · 2014-04-26 · math.ST · stat.ML · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MXJU6TKL5BDFNJ6X6XTQLWRL6H}
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 | 2026-05-18T02:53:06.425862Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65d34f4d4be84656a7d7f5e705da2bf1cc74ceaa04dc2665ddbd4a70c0d03113
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MXJU6TKL5BDFNJ6X6XTQLWRL6H \
| 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: 65d34f4d4be84656a7d7f5e705da2bf1cc74ceaa04dc2665ddbd4a70c0d03113
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "170327f10581b78c31b3a1612d84a9b9fe2f76fd30dedb9814a70d1410e010e7",
"cross_cats_sorted": [
"stat.ML",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.ST",
"submitted_at": "2014-04-26T13:22:37Z",
"title_canon_sha256": "57a531fe9e8025373bea1b8ef574902fcacbb391385267f4b6531a606593fe86"
},
"schema_version": "1.0",
"source": {
"id": "1404.6640",
"kind": "arxiv",
"version": 1
}
}