Pith Number
pith:NQZUZGJT
pith:2018:NQZUZGJT2P65MEUNJKJCW5FMZG
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refs pending
Lipschitz Continuity in Model-based Reinforcement Learning
arxiv:1804.07193 v3 · 2018-04-19 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NQZUZGJT2P65MEUNJKJCW5FMZG}
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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 | 2026-05-18T00:09:41.539567Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6c334c9933d3fdd6128d4a922b74acc9a40fcde9b0ff6a5f6a245c9dac728e00
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NQZUZGJT2P65MEUNJKJCW5FMZG \
| 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: 6c334c9933d3fdd6128d4a922b74acc9a40fcde9b0ff6a5f6a245c9dac728e00
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "538553d36b48bf4fe090c68d4ab59a1a2e4902770294e3041d036e8cdc0542cb",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-04-19T14:29:41Z",
"title_canon_sha256": "c137511b461d625ed672bf365605f5ee5d9b1c4bcd8de9ccd9393328f10e8065"
},
"schema_version": "1.0",
"source": {
"id": "1804.07193",
"kind": "arxiv",
"version": 3
}
}