Pith Number
pith:5J3IHVPA
pith:2019:5J3IHVPAC65W3MDI2JH5IKWNPD
not attested
not anchored
not stored
refs pending
A Regularized Approach to Sparse Optimal Policy in Reinforcement Learning
arxiv:1903.00725 v3 · 2019-03-02 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5J3IHVPAC65W3MDI2JH5IKWNPD}
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 | 2026-07-05T00:13:13.733161Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea7683d5e017bb6db068d24fd42acd78eeed53cba6256c056a2805ed5faa5d29
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5J3IHVPAC65W3MDI2JH5IKWNPD \
| 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: ea7683d5e017bb6db068d24fd42acd78eeed53cba6256c056a2805ed5faa5d29
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a9f0d74869204bc855ca521cf68b06bd89eb7aa3533e52bca0c6441486172cc",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-03-02T15:34:25Z",
"title_canon_sha256": "e2c46d61dd5ec8532e298d75c3b4c706c5eb6b27975c18ecb6e2781120c18a71"
},
"schema_version": "1.0",
"source": {
"id": "1903.00725",
"kind": "arxiv",
"version": 3
}
}