Pith Number
pith:L5T7QO3G
pith:2015:L5T7QO3GLI53FJ67DXUOBPGLD6
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not anchored
not stored
refs pending
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
arxiv:1503.02182 v1 · 2015-03-07 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L5T7QO3GLI53FJ67DXUOBPGLD6}
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
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4
Citations
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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 | 2026-05-18T02:25:25.672043Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5f67f83b665a3bb2a7df1de8e0bccb1f98808f9497e051e17853709cbe5c5c22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L5T7QO3GLI53FJ67DXUOBPGLD6 \
| 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: 5f67f83b665a3bb2a7df1de8e0bccb1f98808f9497e051e17853709cbe5c5c22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce794e2178ac98685532f74d4a2a36bbf60e8b1a23df134c2e93bc5ff271bb9f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2015-03-07T14:53:39Z",
"title_canon_sha256": "1f0843ee056f80fa40c5d4fe3162ba60c1023dec7af857d2039943b3b87d9da1"
},
"schema_version": "1.0",
"source": {
"id": "1503.02182",
"kind": "arxiv",
"version": 1
}
}