Pith Number
pith:B6H6XRM6
pith:2024:B6H6XRM6RWZSBL7F3HTOWHUWJ2
not attested
not anchored
not stored
refs pending
Offline Actor-Critic Reinforcement Learning Scales to Large Models
arxiv:2402.05546 v1 · 2024-02-08 · cs.LG · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B6H6XRM6RWZSBL7F3HTOWHUWJ2}
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 | 2026-07-05T07:42:52.262145Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f8febc59e8db320afe5d9e6eb1e964e84131612a4db9a64ce1e1d09f1425fa1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B6H6XRM6RWZSBL7F3HTOWHUWJ2 \
| 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: 0f8febc59e8db320afe5d9e6eb1e964e84131612a4db9a64ce1e1d09f1425fa1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "892498aab54099109d6e744c83c867cbc379de8aba7b1aba1d04b47a75ef025d",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-08T10:29:46Z",
"title_canon_sha256": "8de4c7169bbee4c291421ca061d14b97157f8cac24a4d696ff52d333dc147abd"
},
"schema_version": "1.0",
"source": {
"id": "2402.05546",
"kind": "arxiv",
"version": 1
}
}