Pith Number
pith:G4GJHROY
pith:2026:G4GJHROYOWDGEDI6BMLR5CMLJR
not attested
not anchored
not stored
refs pending
Improving Bayesian Optimization via Training-Aware Conditional Diffusion Models
arxiv:2606.08438 v1 · 2026-06-07 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G4GJHROYOWDGEDI6BMLR5CMLJR}
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
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4
Citations
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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 | 2026-06-09T01:05:36.596912Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
370c93c5d87586620d1e0b171e898b4c78458040d53fbcf9c6f852fcfb3ad773
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G4GJHROYOWDGEDI6BMLR5CMLJR \
| 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: 370c93c5d87586620d1e0b171e898b4c78458040d53fbcf9c6f852fcfb3ad773
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6b27fba1ea38a1f51de702c340491033d0ae3e588665a6e0ba7af3d040ec851",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-06-07T03:29:45Z",
"title_canon_sha256": "d4836245655931f98b209ed7f37de1fbaf0ca69c9470c527f39cff2d04e8a8da"
},
"schema_version": "1.0",
"source": {
"id": "2606.08438",
"kind": "arxiv",
"version": 1
}
}