Pith Number
pith:TIFMPQI6
pith:2024:TIFMPQI64BATHPHBAVAZ4TOJ6Y
not attested
not anchored
not stored
refs pending
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
arxiv:2410.04988 v2 · 2024-10-07 · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TIFMPQI64BATHPHBAVAZ4TOJ6Y}
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 | 2026-07-05T10:28:23.739706Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a0ac7c11ee04133bce105419e4dc9f6278313e3c358550a42ee61f49b63f6aa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TIFMPQI64BATHPHBAVAZ4TOJ6Y \
| 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: 9a0ac7c11ee04133bce105419e4dc9f6278313e3c358550a42ee61f49b63f6aa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0d9dc4c7a5a6c2cf2fc2c6ed664d505cad975a7da41b1bd337ba77510ac9f2f2",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-07T12:42:51Z",
"title_canon_sha256": "d246932f6c56925f48996e9815002ab78b54215463a3ed142fc98eb99442eac8"
},
"schema_version": "1.0",
"source": {
"id": "2410.04988",
"kind": "arxiv",
"version": 2
}
}