Pith Number
pith:LP7XIXLI
pith:2023:LP7XIXLIUGNOKJ6EORBQH2I3V5
not attested
not anchored
not stored
refs pending
A Survey on Offline Model-Based Reinforcement Learning
arxiv:2305.03360 v1 · 2023-05-05 · cs.LG · cs.AI · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LP7XIXLIUGNOKJ6EORBQH2I3V5}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T06:07:22.444003Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5bff745d68a19ae527c4744303e91baf5a63c8e6342b57f5089fe707764d5241
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LP7XIXLIUGNOKJ6EORBQH2I3V5 \
| 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: 5bff745d68a19ae527c4744303e91baf5a63c8e6342b57f5089fe707764d5241
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "90dbd8493943fffeaf5e38feab86400beaa7a89eb219243744d17b11c0375597",
"cross_cats_sorted": [
"cs.AI",
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-05T08:23:56Z",
"title_canon_sha256": "96b613790a536060dbde7aeb76057b7bcd5077221bac5c8bfe9634fe3694e6eb"
},
"schema_version": "1.0",
"source": {
"id": "2305.03360",
"kind": "arxiv",
"version": 1
}
}