Pith Number
pith:SYZCTMYQ
pith:2022:SYZCTMYQJCRPNCF6KUZ2VKY6FL
not attested
not anchored
not stored
refs pending
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics
arxiv:2206.02563 v2 · 2022-06-03 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SYZCTMYQJCRPNCF6KUZ2VKY6FL}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T04:54:21.365877Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
963229b31048a2f688be5533aaab1e2acd5c21e04fbd87feb343c1ae35b40ccb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SYZCTMYQJCRPNCF6KUZ2VKY6FL \
| 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: 963229b31048a2f688be5533aaab1e2acd5c21e04fbd87feb343c1ae35b40ccb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "588f32f8aa7fbdaffebdfb2110c3a8730fc38a94fcfba4a1d30560d71570a5c0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2022-06-03T07:50:54Z",
"title_canon_sha256": "651ba69032e2a84fec0d2a3a48f8e10e793fb6113f6b90df0b4f048f82a06586"
},
"schema_version": "1.0",
"source": {
"id": "2206.02563",
"kind": "arxiv",
"version": 2
}
}