Pith Number
pith:2WD4A6QA
pith:2022:2WD4A6QA44F5TMGWF6AYCTAO5R
not attested
not anchored
not stored
refs pending
The Benefits of Model-Based Generalization in Reinforcement Learning
arxiv:2211.02222 v3 · 2022-11-04 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2WD4A6QA44F5TMGWF6AYCTAO5R}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:28:56.882779Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d587c07a00e70bd9b0d62f81814c0eec47d893df81937e96f1a1c5f0fd9b647f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2WD4A6QA44F5TMGWF6AYCTAO5R \
| 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: d587c07a00e70bd9b0d62f81814c0eec47d893df81937e96f1a1c5f0fd9b647f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed27654126e7ec333c4b9e6b0c5045881128498ce88d52440830021f2189e181",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-11-04T02:10:35Z",
"title_canon_sha256": "e0b2be558b15bbe796e398f2bcebddd44662e28aa2efd20e6ca2a5770396f45b"
},
"schema_version": "1.0",
"source": {
"id": "2211.02222",
"kind": "arxiv",
"version": 3
}
}