Pith Number
pith:HPYUZTS4
pith:2023:HPYUZTS4N4IOXEMPWOWBJOEAGJ
not attested
not anchored
not stored
refs pending
Advancing Bayesian Optimization via Learning Correlated Latent Space
arxiv:2310.20258 v3 · 2023-10-31 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HPYUZTS4N4IOXEMPWOWBJOEAGJ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:14:19.926024Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3bf14cce5c6f10eb918fb3ac14b880327b5a940a59798c71fac5d3b293456aeb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HPYUZTS4N4IOXEMPWOWBJOEAGJ \
| 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: 3bf14cce5c6f10eb918fb3ac14b880327b5a940a59798c71fac5d3b293456aeb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "541d51c44c980e233a2f31d239ff1ab27ebf052f7ee04d44b6165051155759dc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-31T08:24:41Z",
"title_canon_sha256": "49d9a7f160b8609d530bbaf9eed0c744c912b4bc6928638566ec208ab093b6fc"
},
"schema_version": "1.0",
"source": {
"id": "2310.20258",
"kind": "arxiv",
"version": 3
}
}