Pith Number
pith:UKOXY56Q
pith:2013:UKOXY56QHBJEVEZY63XTLGS7OR
not attested
not anchored
not stored
refs pending
The Optimal Reward Baseline for Gradient-Based Reinforcement Learning
arxiv:1301.2315 v1 · 2013-01-10 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UKOXY56QHBJEVEZY63XTLGS7OR}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T03:36:45.340956Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a29d7c77d038524a9338f6ef359a5f746306b661bbc67240f3b9fdbbd46d9ff4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UKOXY56QHBJEVEZY63XTLGS7OR \
| 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: a29d7c77d038524a9338f6ef359a5f746306b661bbc67240f3b9fdbbd46d9ff4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "51205d32ac70a94d8142adcd291dcc7e6f16f73e7e0c592c22384d976eb787c7",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2013-01-10T16:26:53Z",
"title_canon_sha256": "0512690abe75423e8d2b65f491496bad633cede55d51dda2379cb0e94f068227"
},
"schema_version": "1.0",
"source": {
"id": "1301.2315",
"kind": "arxiv",
"version": 1
}
}