Pith Number
pith:VJIDAVF2
pith:2022:VJIDAVF2KHLZ7RXLY2XFFL3QTO
not attested
not anchored
not stored
refs pending
Factors of Influence of the Overestimation Bias of Q-Learning
arxiv:2210.05262 v1 · 2022-10-11 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJIDAVF2KHLZ7RXLY2XFFL3QTO}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-07-05T05:05:14.849841Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa503054ba51d79fc6ebc6ae52af709bad1250761049a2ba1dd4dc45875acd14
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJIDAVF2KHLZ7RXLY2XFFL3QTO \
| 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: aa503054ba51d79fc6ebc6ae52af709bad1250761049a2ba1dd4dc45875acd14
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d8af6a4873d4e3da2fad0b9f52fabf2034d6951316ca5ef0b7f091719d71f385",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2022-10-11T08:46:05Z",
"title_canon_sha256": "fb8bbabb3bea7e3cea2afccd667475e449955e2aa7f10fbff52c094ef96747ca"
},
"schema_version": "1.0",
"source": {
"id": "2210.05262",
"kind": "arxiv",
"version": 1
}
}