pith:GYE2EZG5
VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving
By routing tokens to separate vision-language and trajectory experts while sharing self-attention, VECTOR-DRIVE resolves the coupling trade-off in vision-language-action models for autonomous driving.
arxiv:2605.08830 v2 · 2026-05-09 · cs.CV · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GYE2EZG5AFV6LX6CFYI7SLSXBI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
On Bench2Drive, VECTOR-DRIVE achieves 88.91 Driving Score and outperforms representative end-to-end and VLA-based baselines.
That routing tokens to separate experts according to semantics while keeping shared self-attention sufficiently preserves multimodal coupling without introducing new task conflicts or information loss.
VECTOR-DRIVE couples vision-language reasoning and trajectory planning in one Transformer via semantic expert routing and flow-matching, reaching 88.91 driving score on Bench2Drive.
Receipt and verification
| First computed | 2026-05-20T01:05:16.132006Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3609a264dd016be5dfc22e11f92e570a099bd52c186fcf8213c1e92660b5aff2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GYE2EZG5AFV6LX6CFYI7SLSXBI \
| 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: 3609a264dd016be5dfc22e11f92e570a099bd52c186fcf8213c1e92660b5aff2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25eda86a90ad4c9318dfca16e28520800778f162e04ab23c523ffabd0d748169",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-09T09:34:50Z",
"title_canon_sha256": "fed3d9278d2e82a1d5fe4b16a3cbffb27d754832d4f16dcf86d9e434ca184089"
},
"schema_version": "1.0",
"source": {
"id": "2605.08830",
"kind": "arxiv",
"version": 2
}
}