Pith Number
pith:M5OET2IM
pith:2019:M5OET2IMZONZIRJ7KDAAXUYI3R
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refs pending
Inference for high-dimensional linear mixed-effects models: A quasi-likelihood approach
arxiv:1907.06116 v2 · 2019-07-13 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M5OET2IMZONZIRJ7KDAAXUYI3R}
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 | 2026-07-05T02:21:32.894363Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
675c49e90ccb9b94453f50c00bd308dc7f94c5c082ea80367675c009e207d7d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M5OET2IMZONZIRJ7KDAAXUYI3R \
| 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: 675c49e90ccb9b94453f50c00bd308dc7f94c5c082ea80367675c009e207d7d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1bb087a35c96c6b3624ef001e76de2d6a4049b55c437a91ab4803bfd4b40edf6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2019-07-13T18:44:13Z",
"title_canon_sha256": "e38563bb04eeb2c0e24d3c78016af767789a56f18b09abc622d33c1f8113f443"
},
"schema_version": "1.0",
"source": {
"id": "1907.06116",
"kind": "arxiv",
"version": 2
}
}