Pith Number
pith:QRSMJ2MR
pith:2022:QRSMJ2MROXNV7H4MXLFV3GVEIW
not attested
not anchored
not stored
refs pending
Domain Generalization for Robust Model-Based Offline Reinforcement Learning
arxiv:2211.14827 v1 · 2022-11-27 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QRSMJ2MROXNV7H4MXLFV3GVEIW}
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 | 2026-07-05T05:19:44.297856Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8464c4e99175db5f9f8cbacb5d9aa445a1ed764f8f8f0fbde3ab21d980d14945
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QRSMJ2MROXNV7H4MXLFV3GVEIW \
| 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: 8464c4e99175db5f9f8cbacb5d9aa445a1ed764f8f8f0fbde3ab21d980d14945
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1fc29745fe056720830d74f22dcc9d0bddd0ef7bff4c04abb34579585167abc5",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-11-27T13:37:49Z",
"title_canon_sha256": "19f462e72881c3f83dbf42c2c68bb5e27ce23136ec88a4481f8ec78f3bc49cf9"
},
"schema_version": "1.0",
"source": {
"id": "2211.14827",
"kind": "arxiv",
"version": 1
}
}