Pith Number
pith:ZFJQPLUB
pith:2026:ZFJQPLUBQDXJUIMRNBV6UFEEWN
not attested
not anchored
not stored
refs pending
Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
arxiv:2607.26680 v1 · 2026-07-29 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZFJQPLUBQDXJUIMRNBV6UFEEWN}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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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 | 2026-07-30T01:21:55.498722Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
c95307ae8180ee9a2191686bea1484b340e9b8d48b34ce452aef4def9e3f6db1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZFJQPLUBQDXJUIMRNBV6UFEEWN \
| 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: c95307ae8180ee9a2191686bea1484b340e9b8d48b34ce452aef4def9e3f6db1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4f283ac316f3901bd909349ce86f860a1b4a5004e9ce8cbdc786301ee9bb3e3e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-29T09:31:28Z",
"title_canon_sha256": "ff25ffd8c47d22a33648db56b7b898ad6e857ee5e5c093f9b9fd42d5854b4767"
},
"schema_version": "1.0",
"source": {
"id": "2607.26680",
"kind": "arxiv",
"version": 1
}
}