Pith Number
pith:ASLBHYQ6
pith:2024:ASLBHYQ6M7QPC5FMCM7EF3WLAB
not attested
not anchored
not stored
refs pending
Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement Learning
arxiv:2408.12307 v3 · 2024-08-22 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ASLBHYQ6M7QPC5FMCM7EF3WLAB}
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 | 2026-07-05T11:11:34.261388Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
049613e21e67e0f174ac133e42eecb007c612b5954d0fc548cb31cacd236fcd4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ASLBHYQ6M7QPC5FMCM7EF3WLAB \
| 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: 049613e21e67e0f174ac133e42eecb007c612b5954d0fc548cb31cacd236fcd4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b98a4a0cbddd1f1ab29ca0e5e5ea78322f5eb3ed7c360eb5f5038a9a0a91dde4",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-08-22T11:31:51Z",
"title_canon_sha256": "c3c0d061b010cbad31fa3cbef192aa0fc1cc68bcb1d6b642aaebc16a791e00e2"
},
"schema_version": "1.0",
"source": {
"id": "2408.12307",
"kind": "arxiv",
"version": 3
}
}