Pith Number
pith:UPV5ES7L
pith:2023:UPV5ES7LRTHI7RHZE3KW7ZJYOQ
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Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
arxiv:2302.01324 v1 · 2023-02-02 · cs.LG · cs.AI · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UPV5ES7LRTHI7RHZE3KW7ZJYOQ}
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Record completeness
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Bitcoin timestamp
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3
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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 | 2026-07-05T05:38:24.995029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a3ebd24beb8cce8fc4f926d56fe538740db4719d32f3db6998ff6bd0a9cb972e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UPV5ES7LRTHI7RHZE3KW7ZJYOQ \
| 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: a3ebd24beb8cce8fc4f926d56fe538740db4719d32f3db6998ff6bd0a9cb972e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d2eb583ee7e277cbf5ed9342e7764e715ee7ee7a5cae569f55a8ba35192fb54",
"cross_cats_sorted": [
"cs.AI",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-02T18:52:14Z",
"title_canon_sha256": "b798a4d5597b348de090e80f610a41ad8dd2c1a3fc303cadb18b64e463ce99d8"
},
"schema_version": "1.0",
"source": {
"id": "2302.01324",
"kind": "arxiv",
"version": 1
}
}