Pith Number
pith:5AT2WO23
pith:2024:5AT2WO23YIIHXOSXAYJTV6HPKE
not attested
not anchored
not stored
refs pending
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments?
arxiv:2402.09546 v2 · 2024-02-14 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5AT2WO23YIIHXOSXAYJTV6HPKE}
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 | 2026-07-05T11:07:56.880358Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e827ab3b5bc2107bba5706133af8ef513942a9d28a6fb335041402c664173701
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5AT2WO23YIIHXOSXAYJTV6HPKE \
| 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: e827ab3b5bc2107bba5706133af8ef513942a9d28a6fb335041402c664173701
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6556f85ac955c6a8a646d10a15ca66a8b154a2953884585ef9fd8b0767af1978",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-02-14T19:45:17Z",
"title_canon_sha256": "6579ea09e0e5e0c2d47ba52895db9e1826a79df1840a49a97b72fc1b2f1cc1ba"
},
"schema_version": "1.0",
"source": {
"id": "2402.09546",
"kind": "arxiv",
"version": 2
}
}