Pith Number
pith:AJTVI7MG
pith:2016:AJTVI7MGJD5VUHS2JMWOINMTW3
not attested
not anchored
not stored
refs pending
A Computationally Efficient Projection-Based Approach for Spatial Generalized Linear Mixed Models
arxiv:1609.02501 v3 · 2016-09-08 · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AJTVI7MGJD5VUHS2JMWOINMTW3}
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 | 2026-05-18T00:03:57.271688Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0267547d8648fb5a1e5a4b2ce43593b6fa6b249f443a5107ad6902f1fda2f6f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AJTVI7MGJD5VUHS2JMWOINMTW3 \
| 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: 0267547d8648fb5a1e5a4b2ce43593b6fa6b249f443a5107ad6902f1fda2f6f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1a1796644bdba85c876e5638c4890e7222ce7a53e54d691f5aa3644ec29e6f13",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2016-09-08T17:18:58Z",
"title_canon_sha256": "20746f498b0f7eeb24de1c7fd3f97b15592f80e1fb2370bb62e3dbc62a1c8afd"
},
"schema_version": "1.0",
"source": {
"id": "1609.02501",
"kind": "arxiv",
"version": 3
}
}