Pith Number
pith:P5YOU6N7
pith:2022:P5YOU6N77LX3Y6424AOUP3MDP5
not attested
not anchored
not stored
refs pending
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs
arxiv:2205.11507 v1 · 2022-05-23 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P5YOU6N77LX3Y6424AOUP3MDP5}
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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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 | 2026-07-05T04:25:37.871646Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f70ea79bffaefbc7b9ae01d47ed837f6f331b01b16c3f5abb5d4aaba310522a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5YOU6N77LX3Y6424AOUP3MDP5 \
| 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: 7f70ea79bffaefbc7b9ae01d47ed837f6f331b01b16c3f5abb5d4aaba310522a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af3a6354b0623efa578adf3379064861b2634ea9862078c0ff3630168c759327",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-23T17:59:18Z",
"title_canon_sha256": "318e54a9ea1132131f57742734b33226f172095397a49a56eccb22bebbaf3f0c"
},
"schema_version": "1.0",
"source": {
"id": "2205.11507",
"kind": "arxiv",
"version": 1
}
}