Pith Number
pith:VRA5NBKY
pith:2022:VRA5NBKYQPAS5LLOUYF4KZNKW4
not attested
not anchored
not stored
refs pending
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving
arxiv:2206.08528 v1 · 2022-06-17 · cs.LG · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VRA5NBKYQPAS5LLOUYF4KZNKW4}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T04:32:30.798933Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac41d6855883c12ead6ea60bc565aab72e0d55d22db7d48d25f1fca0cae902bf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VRA5NBKYQPAS5LLOUYF4KZNKW4 \
| 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: ac41d6855883c12ead6ea60bc565aab72e0d55d22db7d48d25f1fca0cae902bf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b31889989b593a0d04763a7bbf400d773ebee6fc306a69d18d57d215d1088dd5",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-17T03:23:51Z",
"title_canon_sha256": "8d433d4397295d333fbfed51c386f22f7069592f341cb611cb96e960fe16ce31"
},
"schema_version": "1.0",
"source": {
"id": "2206.08528",
"kind": "arxiv",
"version": 1
}
}