Pith Number
pith:QSSDBHCT
pith:2022:QSSDBHCTVG2IFN3EVAYJBY37D5
not attested
not anchored
not stored
refs pending
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
arxiv:2202.00821 v3 · 2022-02-02 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QSSDBHCTVG2IFN3EVAYJBY37D5}
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.
Receipt and verification
| First computed | 2026-07-05T04:32:38.906254Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
84a4309c53a9b482b764a83090e37f1f51a78ead057f4cb100925093f34b0306
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QSSDBHCTVG2IFN3EVAYJBY37D5 \
| 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: 84a4309c53a9b482b764a83090e37f1f51a78ead057f4cb100925093f34b0306
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3e44389d35b44afd8b1d130c017c819109754ec8635481fd333a1b76ac96659",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-02-02T00:23:05Z",
"title_canon_sha256": "42c789e14d60dfb9842876be2040da5de37124f30d04ca2ddc8d0855b5a9e0a9"
},
"schema_version": "1.0",
"source": {
"id": "2202.00821",
"kind": "arxiv",
"version": 3
}
}