Pith Number
pith:TXLL4D3T
pith:2024:TXLL4D3TIS5JYIS2FK3X5K64CP
not attested
not anchored
not stored
refs pending
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
arxiv:2407.04285 v4 · 2024-07-05 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TXLL4D3TIS5JYIS2FK3X5K64CP}
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.
Receipt and verification
| First computed | 2026-07-05T10:22:01.842699Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9dd6be0f7344ba9c225a2ab77eabdc13c42171eab61d5208717119f42c786dc9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TXLL4D3TIS5JYIS2FK3X5K64CP \
| 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: 9dd6be0f7344ba9c225a2ab77eabdc13c42171eab61d5208717119f42c786dc9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d81788d1a3bf62418b9462820fc6ee3e777a9dd17c3a37218a0a6f4f1e8c5685",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-05T06:34:32Z",
"title_canon_sha256": "08914516ecb9db4aa8b9a8dc7eee7f8619ff84dc93764db5363042800836de17"
},
"schema_version": "1.0",
"source": {
"id": "2407.04285",
"kind": "arxiv",
"version": 4
}
}