Pith Number
pith:K24JGMXP
pith:2017:K24JGMXPM5SQXZX3TENPV2IEM6
not attested
not anchored
not stored
refs pending
On overfitting and asymptotic bias in batch reinforcement learning with partial observability
arxiv:1709.07796 v2 · 2017-09-22 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K24JGMXPM5SQXZX3TENPV2IEM6}
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 | 2026-05-17T23:54:41.768858Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
56b89332ef67650be6fb991afae90467ad566931673aa5ea33d19f0cb4ce7229
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K24JGMXPM5SQXZX3TENPV2IEM6 \
| 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: 56b89332ef67650be6fb991afae90467ad566931673aa5ea33d19f0cb4ce7229
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a8b950fc4144c6c24344c0199c739131462e53a1de18cee26ac8cbac94870610",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-09-22T14:56:35Z",
"title_canon_sha256": "9d6d16a12efccba1b3fbf5ff5c07a99320a8a0424e5a8f45f27f6905e477d914"
},
"schema_version": "1.0",
"source": {
"id": "1709.07796",
"kind": "arxiv",
"version": 2
}
}