Pith Number
pith:QBMG7JZH
pith:2022:QBMG7JZHQXXLDEWYVSO25DI3DN
not attested
not anchored
not stored
refs pending
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models
arxiv:2210.01041 v7 · 2022-10-03 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QBMG7JZHQXXLDEWYVSO25DI3DN}
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.
Receipt and verification
| First computed | 2026-07-05T07:01:57.443397Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80586fa72785eeb192d8ac9dae8d1b1b54d4026209024374c8e0f5c18e9f03fa
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QBMG7JZHQXXLDEWYVSO25DI3DN \
| 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: 80586fa72785eeb192d8ac9dae8d1b1b54d4026209024374c8e0f5c18e9f03fa
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af160e38b0b7918f9a73afe7954032fe0c83164b86b4029e4961b8e26dca5f6f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-10-03T15:58:27Z",
"title_canon_sha256": "bd41afd39e67dfc2156c2812ad5e1e7d8a744f27b6e0163f422db294aa82c298"
},
"schema_version": "1.0",
"source": {
"id": "2210.01041",
"kind": "arxiv",
"version": 7
}
}