Pith Number
pith:Y3PUEHG3
pith:2026:Y3PUEHG33HXM55FZ4XW4GGK5GG
not attested
not anchored
not stored
refs pending
Deep Generalised Mixed Models: a Novel Neural Network Structure for Analysing Hierarchical Data
arxiv:2608.05930 v1 · 2026-08-06 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y3PUEHG33HXM55FZ4XW4GGK5GG}
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 | 2026-08-07T00:53:25.677621Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c6df421cdbd9eecef4b9e5edc3195d31b056e39b2dd09bd758c1cef4c1c00d15
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y3PUEHG33HXM55FZ4XW4GGK5GG \
| 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: c6df421cdbd9eecef4b9e5edc3195d31b056e39b2dd09bd758c1cef4c1c00d15
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f88b342adfbdbbcc01cd6c74145cdd815dced912bc4bead9b60f89ac0c996555",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-08-06T11:59:30Z",
"title_canon_sha256": "b37698a92af09956d4886a8c29add63781bc12b88b3cb401619f79048d9b307f"
},
"schema_version": "1.0",
"source": {
"id": "2608.05930",
"kind": "arxiv",
"version": 1
}
}