Pith Number
pith:BNJRUR54
pith:2024:BNJRUR5467DWZJXMSN5Q246O57
not attested
not anchored
not stored
refs pending
How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?
arxiv:2406.06459 v1 · 2024-06-10 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BNJRUR5467DWZJXMSN5Q246O57}
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 | 2026-07-05T08:29:42.673945Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b531a47bcf7c76ca6ec937b0d73ceefcb8764a74996bac897165765d395bccf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BNJRUR5467DWZJXMSN5Q246O57 \
| 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: 0b531a47bcf7c76ca6ec937b0d73ceefcb8764a74996bac897165765d395bccf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d012d2e739fcb08a7fdd878d1bcab0e26f95c4ed667308eaef613b8b12df577",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-06-10T16:53:58Z",
"title_canon_sha256": "493ee720aed9f370714e03d593eb0164166aeca06e241ad23eaa702220d50453"
},
"schema_version": "1.0",
"source": {
"id": "2406.06459",
"kind": "arxiv",
"version": 1
}
}