Pith Number
pith:XLE4M3VT
pith:2018:XLE4M3VTAF4P432MXMWYNGUFX3
not attested
not anchored
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refs pending
Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion
arxiv:1807.04302 v1 · 2018-07-11 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XLE4M3VTAF4P432MXMWYNGUFX3}
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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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 | 2026-05-17T23:53:30.319576Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bac9c66eb30178fe6f4cbb2d869a85beced60fffa04a0f420bf1db2fe7bc751d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XLE4M3VTAF4P432MXMWYNGUFX3 \
| 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: bac9c66eb30178fe6f4cbb2d869a85beced60fffa04a0f420bf1db2fe7bc751d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "772b7fcfe587fac5fc6896805dd2270587d254acde8eb5c27ad463656c104a7a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-07-11T18:03:50Z",
"title_canon_sha256": "c54566b720b35f1814e348073029328be629165eab44f69a910b076888cc68ed"
},
"schema_version": "1.0",
"source": {
"id": "1807.04302",
"kind": "arxiv",
"version": 1
}
}