Pith Number
pith:KFEOVFFX
pith:2022:KFEOVFFXW434HLVHEZHQ7M4E5K
not attested
not anchored
not stored
refs pending
On the Robustness of Safe Reinforcement Learning under Observational Perturbations
arxiv:2205.14691 v3 · 2022-05-29 · cs.LG · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KFEOVFFXW434HLVHEZHQ7M4E5K}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:47:15.705823Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5148ea94b7b737c3aea7264f0fb384eaad7b9cf89bfdfc0ae615bee718551264
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KFEOVFFXW434HLVHEZHQ7M4E5K \
| 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: 5148ea94b7b737c3aea7264f0fb384eaad7b9cf89bfdfc0ae615bee718551264
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b7112489d218529d8e892e40045bac90423b0d3abcfe80323ff29543e3eb3d63",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-29T15:25:03Z",
"title_canon_sha256": "fb8b4402f6f938fb3c923b080618e1bda0cadd7982bb2797ad4cbb0c9e97904d"
},
"schema_version": "1.0",
"source": {
"id": "2205.14691",
"kind": "arxiv",
"version": 3
}
}