Pith Number
pith:LINTXB6B
pith:2020:LINTXB6B7KVNFJ6C4XFUBSJNLT
not attested
not anchored
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refs pending
Understanding the Pathologies of Approximate Policy Evaluation when Combined with Greedification in Reinforcement Learning
arxiv:2010.15268 v1 · 2020-10-28 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LINTXB6B7KVNFJ6C4XFUBSJNLT}
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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.
Receipt and verification
| First computed | 2026-07-05T01:47:35.304067Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a1b3b87c1faaad2a7c2e5cb40c92d5cd3966f1f92db4e29253e52b2f0ddd0c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LINTXB6B7KVNFJ6C4XFUBSJNLT \
| 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: 5a1b3b87c1faaad2a7c2e5cb40c92d5cd3966f1f92db4e29253e52b2f0ddd0c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e369469ec0749abb7ada647d3d0e27111f7319a94c3d0419503718be26a5ae9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-10-28T22:57:57Z",
"title_canon_sha256": "e8a8d420b77b37a39dfabc648958d7fe90f37f75e02bacbfabd88a628c60ed3b"
},
"schema_version": "1.0",
"source": {
"id": "2010.15268",
"kind": "arxiv",
"version": 1
}
}