Pith Number
pith:GMMXMLPT
pith:2022:GMMXMLPTALLYCH6IJFGQAV6MJO
not attested
not anchored
not stored
refs pending
Efficient computation of the Knowledge Gradient for Bayesian Optimization
arxiv:2209.15367 v1 · 2022-09-30 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMMXMLPTALLYCH6IJFGQAV6MJO}
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 | 2026-07-05T05:02:19.297651Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3319762df302d7811fc8494d0057cc4ba3073a09a094d07690c6051101d59264
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMMXMLPTALLYCH6IJFGQAV6MJO \
| 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: 3319762df302d7811fc8494d0057cc4ba3073a09a094d07690c6051101d59264
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e475095d1cc5381600698fff75913ef00305a944eaee28d7ae0e2f7ca3bec83",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-09-30T10:39:38Z",
"title_canon_sha256": "a843dab4d6b917795bd7aeda10107fcef39a4e1dd4f86c5ddb2d330e21c6f2f7"
},
"schema_version": "1.0",
"source": {
"id": "2209.15367",
"kind": "arxiv",
"version": 1
}
}