Pith Number
pith:OLLSZ7XG
pith:2019:OLLSZ7XGEAATCVN5WUCUICS7QE
not attested
not anchored
not stored
refs pending
Estimating Risk and Uncertainty in Deep Reinforcement Learning
arxiv:1905.09638 v5 · 2019-05-23 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OLLSZ7XGEAATCVN5WUCUICS7QE}
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 | 2026-07-05T01:34:04.289208Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72d72cfee620013155bdb505440a5f81394d49857eaa22e96d7218b01c6656b0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OLLSZ7XGEAATCVN5WUCUICS7QE \
| 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: 72d72cfee620013155bdb505440a5f81394d49857eaa22e96d7218b01c6656b0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fd8bccf20526d091a86bec05bb80b829636065b8705166eddb910cf0f2cebd04",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-05-23T13:13:56Z",
"title_canon_sha256": "4ca7505cb1f000cc2b05b6acaab38f1eabd728d06bd03d099f390910c1d2d860"
},
"schema_version": "1.0",
"source": {
"id": "1905.09638",
"kind": "arxiv",
"version": 5
}
}