Pith Number
pith:GGMNRUZL
pith:2025:GGMNRUZLETD4ENES2DK7CTIZV2
not attested
not anchored
not stored
refs pending
Optimal Actuator Attacks on Autonomous Vehicles Using Reinforcement Learning
arxiv:2502.07839 v1 · 2025-02-11 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GGMNRUZLETD4ENES2DK7CTIZV2}
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 | 2026-07-05T10:13:10.948206Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3198d8d32b24c7c23492d0d5f14d19ae908c466ef84e6089d80ce69f31d9e750
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GGMNRUZLETD4ENES2DK7CTIZV2 \
| 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: 3198d8d32b24c7c23492d0d5f14d19ae908c466ef84e6089d80ce69f31d9e750
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d0140172aece034f82c5c39019e5ebdc6f14ac7e608d8fe3af9525b4630de7e6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-02-11T03:01:05Z",
"title_canon_sha256": "75cea1246b64d71a338a3586a0b21c8664dcea76dd2704ba5125f432c05dbe0e"
},
"schema_version": "1.0",
"source": {
"id": "2502.07839",
"kind": "arxiv",
"version": 1
}
}