Pith Number
pith:BVLK2X3U
pith:2023:BVLK2X3UQM32IPFI2QGRZDGMHT
not attested
not anchored
not stored
refs pending
Reasoning with Latent Diffusion in Offline Reinforcement Learning
arxiv:2309.06599 v1 · 2023-09-12 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVLK2X3UQM32IPFI2QGRZDGMHT}
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 | 2026-07-05T06:50:20.138403Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d56ad5f748337a43ca8d40d1c8ccc3cdf3deaed8aea04bb3dcf0243bca0a771
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVLK2X3UQM32IPFI2QGRZDGMHT \
| 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: 0d56ad5f748337a43ca8d40d1c8ccc3cdf3deaed8aea04bb3dcf0243bca0a771
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce42bb9a959a503612e4cb33bb23381bf5715c95073e0394b0c423d7c89dc612",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-09-12T20:58:21Z",
"title_canon_sha256": "49ac730a4114f39bdeef93ed4e1fd5a981d1f0fb34918144d52d52097f0f7851"
},
"schema_version": "1.0",
"source": {
"id": "2309.06599",
"kind": "arxiv",
"version": 1
}
}