Pith Number
pith:DMQ7ZH3I
pith:2025:DMQ7ZH3IPZPBUTWHLCJ3EPP7G4
not attested
not anchored
not stored
refs pending
PAC-Bayesian Reinforcement Learning Trains Generalizable Policies
arxiv:2510.10544 v3 · 2025-10-12 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DMQ7ZH3IPZPBUTWHLCJ3EPP7G4}
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 | 2026-06-01T01:02:23.439300Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b21fc9f687e5e1a4ec75893b23dff3738de2d696c601af3f732dbbe54c60fcf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMQ7ZH3IPZPBUTWHLCJ3EPP7G4 \
| 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: 1b21fc9f687e5e1a4ec75893b23dff3738de2d696c601af3f732dbbe54c60fcf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6237a912791af49ee13694327c9b77cd36a2ef3f4cece95a5ed01edcd3561964",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-10-12T11:02:18Z",
"title_canon_sha256": "f2e7a29ce1fa03aac2cdee0a7931d6897d2fdb712e4f9e35c31a42ae90e9a119"
},
"schema_version": "1.0",
"source": {
"id": "2510.10544",
"kind": "arxiv",
"version": 3
}
}