Pith Number
pith:GEYNSAO2
pith:2022:GEYNSAO2EJ3T6Z5Q2NVV7HTIPH
not attested
not anchored
not stored
refs pending
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
arxiv:2208.05767 v4 · 2022-08-11 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GEYNSAO2EJ3T6Z5Q2NVV7HTIPH}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T07:28:42.914464Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3130d901da22773f67b0d36b5f9e6879df8cfe55c0b9cb5b93a79b6a9ff17d0b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GEYNSAO2EJ3T6Z5Q2NVV7HTIPH \
| 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: 3130d901da22773f67b0d36b5f9e6879df8cfe55c0b9cb5b93a79b6a9ff17d0b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d69475617471c7cf016acfd7d7dddfa9b6a1b713f68b14053216aa5d8a864f0f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-08-11T11:55:31Z",
"title_canon_sha256": "be2615891789dcd7a1a5f85cbabfb86e8aef048e7a5744bca1d04bde07d9a3f4"
},
"schema_version": "1.0",
"source": {
"id": "2208.05767",
"kind": "arxiv",
"version": 4
}
}