Pith Number
pith:OSQGPFCP
pith:2017:OSQGPFCPJTTAOTOJAB7Z3IEIYH
not attested
not anchored
not stored
refs pending
Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions
arxiv:1703.09930 v4 · 2017-03-29 · stat.CO · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OSQGPFCPJTTAOTOJAB7Z3IEIYH}
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 | 2026-05-18T00:21:04.998724Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
74a067944f4ce6074dc9007f9da088c1f251caf08df3382b2d3a91150d6eac96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OSQGPFCPJTTAOTOJAB7Z3IEIYH \
| 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: 74a067944f4ce6074dc9007f9da088c1f251caf08df3382b2d3a91150d6eac96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10a504d12e17d235aa8e09c912ab60ce936760fb3bd5017b18b1ad52d81729ed",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2017-03-29T08:32:21Z",
"title_canon_sha256": "c8dd98e33f70ae421972ee34ae869d882bc9f817a1fc8d0c2cf57706545ab793"
},
"schema_version": "1.0",
"source": {
"id": "1703.09930",
"kind": "arxiv",
"version": 4
}
}