Pith Number
pith:LKHHCMPF
pith:2016:LKHHCMPF7YEBGH4PZBQGPDMS2Z
not attested
not anchored
not stored
refs pending
How priors of initial hyperparameters affect Gaussian process regression models
arxiv:1605.07906 v2 · 2016-05-25 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LKHHCMPF7YEBGH4PZBQGPDMS2Z}
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 | 2026-05-18T00:26:13.058826Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a8e7131e5fe08131f8fc860678d92d669bfc171961fb4a60872d325e7daca87
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LKHHCMPF7YEBGH4PZBQGPDMS2Z \
| 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: 5a8e7131e5fe08131f8fc860678d92d669bfc171961fb4a60872d325e7daca87
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "59b632ce34bab1a5c288c295e2653ed9cbaab56d81987f3fa801e385658dcc34",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-05-25T14:45:26Z",
"title_canon_sha256": "9aee6c3eca6ee8b409037dff65640537f607fe2beef2148a32ec8a79fff468b7"
},
"schema_version": "1.0",
"source": {
"id": "1605.07906",
"kind": "arxiv",
"version": 2
}
}