Pith Number
pith:VP35ACSS
pith:2022:VP35ACSSYRJQDDDM5NDVGYX5TS
not attested
not anchored
not stored
refs pending
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation
arxiv:2206.02437 v2 · 2022-06-06 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VP35ACSSYRJQDDDM5NDVGYX5TS}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:39:50.342200Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
abf7d00a52c453018c6ceb475362fd9c84ef7c7bc3e2c0cfca299447010cdbd9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VP35ACSSYRJQDDDM5NDVGYX5TS \
| 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: abf7d00a52c453018c6ceb475362fd9c84ef7c7bc3e2c0cfca299447010cdbd9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4b1137fdae3b85863fd2c3e00d5172e5d762dfde551906b387f992537a4a20ad",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-06T08:56:56Z",
"title_canon_sha256": "76d6baf88c16b4275048dda72e7be66d6b5c6587f11ab6292fba8217ff112f43"
},
"schema_version": "1.0",
"source": {
"id": "2206.02437",
"kind": "arxiv",
"version": 2
}
}