Pith Number
pith:4RLLYL7Y
pith:2011:4RLLYL7YMUFINJBIFMIJQVHFYT
not attested
not anchored
not stored
refs pending
Efficient Gaussian Process Regression for Large Data Sets
arxiv:1106.5779 v1 · 2011-06-28 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4RLLYL7YMUFINJBIFMIJQVHFYT}
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 | 2026-05-18T04:19:12.550219Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e456bc2ff8650a86a4282b109854e5c4d6ae2d67bad3f0fb4eda22a50ce0230a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4RLLYL7YMUFINJBIFMIJQVHFYT \
| 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: e456bc2ff8650a86a4282b109854e5c4d6ae2d67bad3f0fb4eda22a50ce0230a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7c689b6bc81632298b769df1c507b27a0d094cf6f00706535c72c056b4201a66",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2011-06-28T19:55:22Z",
"title_canon_sha256": "d0448dc301cb404c89813264b7fe8b92e518e5ca55ea2ec90965cfde39089434"
},
"schema_version": "1.0",
"source": {
"id": "1106.5779",
"kind": "arxiv",
"version": 1
}
}