Pith Number
pith:MZFPEAWN
pith:2025:MZFPEAWNPPPVKV6XJDCXVSEYLM
not attested
not anchored
not stored
refs pending
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model
arxiv:2503.08934 v3 · 2025-03-11 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MZFPEAWNPPPVKV6XJDCXVSEYLM}
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 | 2026-07-05T10:37:46.895224Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
664af202cd7bdf5557d748c57ac8985b2cf572ace19297a80aa57cc973763ce3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MZFPEAWNPPPVKV6XJDCXVSEYLM \
| 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: 664af202cd7bdf5557d748c57ac8985b2cf572ace19297a80aa57cc973763ce3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "359f631a3ef5f2d3f83b97a760ff0311202f53425eb4757a358e5dc77a9fe0ef",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-11T22:31:03Z",
"title_canon_sha256": "5c75529989bc54c3bc87a76ced16f8e4e3ede38ef7c61067fabf14d964ee2bb3"
},
"schema_version": "1.0",
"source": {
"id": "2503.08934",
"kind": "arxiv",
"version": 3
}
}