Pith Number
pith:2TVHEGTW
pith:2025:2TVHEGTWGEFDDOURNPECM7EAEB
not attested
not anchored
not stored
refs pending
Reward Generation via Large Vision-Language Model in Offline Reinforcement Learning
arxiv:2504.08772 v1 · 2025-04-03 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2TVHEGTWGEFDDOURNPECM7EAEB}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:47:59.119942Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4ea721a76310a31ba916bc8267c802041c3d23e60a8597b7d886a64714655b6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2TVHEGTWGEFDDOURNPECM7EAEB \
| 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: d4ea721a76310a31ba916bc8267c802041c3d23e60a8597b7d886a64714655b6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3f4c2d195d3a1a9e4511190f935091a74f59c2b5f10b0ebed68716daf4e6fb3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-03T07:11:18Z",
"title_canon_sha256": "439176d2bcd0ffda471f51c703ac57a9912c3ad6b282b8e906f84c5881ed9386"
},
"schema_version": "1.0",
"source": {
"id": "2504.08772",
"kind": "arxiv",
"version": 1
}
}