Pith Number
pith:LQF4SVT6
pith:2012:LQF4SVT6U6KLRNOO2PGUVBG5EJ
not attested
not anchored
not stored
refs pending
Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression
arxiv:1210.2879 v2 · 2012-10-10 · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LQF4SVT6U6KLRNOO2PGUVBG5EJ}
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 | 2026-05-18T03:36:46.136792Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c0bc9567ea794b8b5ced3cd4a84dd225dc9060c3647a1231474395291996934
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LQF4SVT6U6KLRNOO2PGUVBG5EJ \
| 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: 5c0bc9567ea794b8b5ced3cd4a84dd225dc9060c3647a1231474395291996934
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4b20e699ce57684e74808b00f3ab460ab4d1638cef34601191402751efd4d13f",
"cross_cats_sorted": [
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.ST",
"submitted_at": "2012-10-10T11:50:06Z",
"title_canon_sha256": "c0e00ae0d20e159732c6867cb8826f2041c87d5d40b1812594f5172157613340"
},
"schema_version": "1.0",
"source": {
"id": "1210.2879",
"kind": "arxiv",
"version": 2
}
}