Pith Number
pith:KPVR2GU5
pith:2025:KPVR2GU5HBUC7AJ7JJGCSHUYTT
not attested
not anchored
not stored
refs pending
Enhancing Offline Reinforcement Learning with Curriculum Learning-Based Trajectory Valuation
arxiv:2502.00601 v2 · 2025-02-02 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KPVR2GU5HBUC7AJ7JJGCSHUYTT}
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 | 2026-07-05T10:48:25.030021Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
53eb1d1a9d38682f813f4a4c291e989ce59b761961427ad824a8320936431741
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPVR2GU5HBUC7AJ7JJGCSHUYTT \
| 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: 53eb1d1a9d38682f813f4a4c291e989ce59b761961427ad824a8320936431741
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "825ff9002e81b20f700542ce710f041cb8dddb5b3a7aa6aefaa3bb7bd03f7ebd",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-02T00:03:53Z",
"title_canon_sha256": "20bbb304f0648770f7d5e4867a1558d80e78fd5139d14d24805cc6133c6f4b53"
},
"schema_version": "1.0",
"source": {
"id": "2502.00601",
"kind": "arxiv",
"version": 2
}
}