Pith Number
pith:5JRPARRH
pith:2025:5JRPARRHXV2O67AG35J5NAE7FT
not attested
not anchored
not stored
refs pending
Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
arxiv:2504.10076 v2 · 2025-04-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5JRPARRHXV2O67AG35J5NAE7FT}
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 | 2026-07-05T11:49:53.308514Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea62f04627bd74ef7c06df53d6809f2ce60e470ae173a4961a290bab377a1c3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5JRPARRHXV2O67AG35J5NAE7FT \
| 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: ea62f04627bd74ef7c06df53d6809f2ce60e470ae173a4961a290bab377a1c3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8e44e2042cf76efbd9bca43f631e48b87db8ad3656222c8df5359b451e647114",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-14T10:21:08Z",
"title_canon_sha256": "317ee3945778781bef125be095041e446dcbfeb68200f491f287fea9cf1880d8"
},
"schema_version": "1.0",
"source": {
"id": "2504.10076",
"kind": "arxiv",
"version": 2
}
}