Pith Number
pith:OQXYG5RL
pith:2016:OQXYG5RLJ7UG2ARDWVVXHLHTXT
not attested
not anchored
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refs pending
Stochastic Primal-Dual Methods and Sample Complexity of Reinforcement Learning
arxiv:1612.02516 v1 · 2016-12-08 · stat.ML · cs.AI · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OQXYG5RLJ7UG2ARDWVVXHLHTXT}
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
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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 | 2026-05-18T00:55:33.519167Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
742f83762b4fe86d0223b56b73acf3bcfcf7955586e7b0197f64574eae7095b4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OQXYG5RLJ7UG2ARDWVVXHLHTXT \
| 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: 742f83762b4fe86d0223b56b73acf3bcfcf7955586e7b0197f64574eae7095b4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "23943e0fe3ca6b0bff5e9da6bdd4c0b5f3a61d93fad8ae0432947fb6f5135a77",
"cross_cats_sorted": [
"cs.AI",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-12-08T03:05:41Z",
"title_canon_sha256": "62f97b952d4be531bcd8f27d1bd94b6ef287489aa2afde83f51c9c5825dbe19c"
},
"schema_version": "1.0",
"source": {
"id": "1612.02516",
"kind": "arxiv",
"version": 1
}
}