Pith Number
pith:W2VLUCMT
pith:2022:W2VLUCMTL36E7U7RX6VQJ3DYB6
not attested
not anchored
not stored
refs pending
MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
arxiv:2203.16912 v1 · 2022-03-31 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W2VLUCMTL36E7U7RX6VQJ3DYB6}
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 | 2026-07-05T04:47:27.652339Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b6aaba09935efc4fd3f1bfab04ec780f83a59577eafbdcfab8506aeae005397a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W2VLUCMTL36E7U7RX6VQJ3DYB6 \
| 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: b6aaba09935efc4fd3f1bfab04ec780f83a59577eafbdcfab8506aeae005397a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "58dac279a5aa53dbce5d2e2c9655abe5c5c8d92918dff9405649bcd98f4209eb",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-03-31T09:27:59Z",
"title_canon_sha256": "2eea26a452d0719045576d5cb16ddeb67b3fc9eda6cd5aff6c8f7cbdd0ccf628"
},
"schema_version": "1.0",
"source": {
"id": "2203.16912",
"kind": "arxiv",
"version": 1
}
}