Pith Number
pith:BWORDNSR
pith:2022:BWORDNSR7J6BLUWWFNPHHMNBCG
not attested
not anchored
not stored
refs pending
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation
arxiv:2209.06620 v3 · 2022-09-14 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BWORDNSR7J6BLUWWFNPHHMNBCG}
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 | 2026-07-05T05:36:18.713189Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d9d11b651fa7c15d2d62b5e73b1a11192e448d43e053e2a629169ac2400c4bf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWORDNSR7J6BLUWWFNPHHMNBCG \
| 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: 0d9d11b651fa7c15d2d62b5e73b1a11192e448d43e053e2a629169ac2400c4bf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6488c110b78e5c17e433bd36bb5c4d23d20311da66423470ce38b7086bbb6e61",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-09-14T13:17:59Z",
"title_canon_sha256": "fa6a7ada271cc2edc4f7d645a250c2473f0e90597698b7cd21630d8b97b0d813"
},
"schema_version": "1.0",
"source": {
"id": "2209.06620",
"kind": "arxiv",
"version": 3
}
}