Pith Number
pith:DGDWWTKV
pith:2020:DGDWWTKV4W74IEBPZYLG7KOYZW
not attested
not anchored
not stored
refs pending
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
arxiv:2006.13405 v1 · 2020-06-24 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DGDWWTKV4W74IEBPZYLG7KOYZW}
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 | 2026-07-05T01:13:15.482528Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
19876b4d55e5bfc4102fce166fa9d8cda0c8a2cd53f27be2d53f95a4addb2975
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DGDWWTKV4W74IEBPZYLG7KOYZW \
| 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: 19876b4d55e5bfc4102fce166fa9d8cda0c8a2cd53f27be2d53f95a4addb2975
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "44bb46c00d586e7afac9ff4255989705bd8b0ad98cf3b656e1b2fa59ecb47578",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-06-24T00:50:17Z",
"title_canon_sha256": "4398d6fb1f7de3f7eaa66707ff043d6152e7e2beaa07ae551b64a103e61cbdd7"
},
"schema_version": "1.0",
"source": {
"id": "2006.13405",
"kind": "arxiv",
"version": 1
}
}