Pith Number
pith:IFFSEQZU
pith:2025:IFFSEQZUSTFULSSIAMWLSGKJBP
not attested
not anchored
not stored
refs pending
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
arxiv:2505.06482 v2 · 2025-05-10 · cs.LG · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IFFSEQZUSTFULSSIAMWLSGKJBP}
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.
Receipt and verification
| First computed | 2026-07-05T11:04:50.875615Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
414b22433494cb45ca48032cb919490be04b9f93b48b41a392013a7b210b719d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IFFSEQZUSTFULSSIAMWLSGKJBP \
| 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: 414b22433494cb45ca48032cb919490be04b9f93b48b41a392013a7b210b719d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ca906500d877225aa8463791ea20c3748e58c92a5149fd7f6cdf3c27c5ad9f4",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-10T00:54:12Z",
"title_canon_sha256": "acf2a6aa9b1096b09f40c0b40c0c283840633e67119f7d8a08d3249c6412c6e5"
},
"schema_version": "1.0",
"source": {
"id": "2505.06482",
"kind": "arxiv",
"version": 2
}
}