Pith Number
pith:FKGUQBAW
pith:2018:FKGUQBAWIRREBFF5PWDRODF7BN
not attested
not anchored
not stored
refs pending
Discrete linear-complexity reinforcement learning in continuous action spaces for Q-learning algorithms
arxiv:1807.06957 v2 · 2018-07-16 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FKGUQBAWIRREBFF5PWDRODF7BN}
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 | 2026-05-18T00:09:58.093665Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a8d48041644624094bd7d87170cbf0b6cd4d825a035ef220481d6117f680115
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FKGUQBAWIRREBFF5PWDRODF7BN \
| 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: 2a8d48041644624094bd7d87170cbf0b6cd4d825a035ef220481d6117f680115
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6c923b0a40c8d814244fe32e7ec6231af95631413f730cc77373e395830b0f1",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-07-16T22:57:11Z",
"title_canon_sha256": "9ccfa4a6492f09a5e680cc3726d8474f39c7eb4cf71a13bc7b0cfc93d7300707"
},
"schema_version": "1.0",
"source": {
"id": "1807.06957",
"kind": "arxiv",
"version": 2
}
}