V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
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Signal Canvas proof surface
Canonical route: /signal-canvas/v2x-qa-a-comprehensive-reasoning-dataset-and-benchmark-for-multimodal-large-language-models-in-autonomous-driving-across
- Observed
- 2026-04-06
- Fresh until
- 2026-04-20
- Coverage
- 0%
- Source count
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- Stale after
- 2026-04-20
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- Last verified
- 2026-04-06
- References
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Agent Handoff
V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
Canonical ID v2x-qa-a-comprehensive-reasoning-dataset-and-benchmark-for-multimodal-large-language-models-in-autonomous-driving-across | Route /signal-canvas/v2x-qa-a-comprehensive-reasoning-dataset-and-benchmark-for-multimodal-large-language-models-in-autonomous-driving-across
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/v2x-qa-a-comprehensive-reasoning-dataset-and-benchmark-for-multimodal-large-language-models-in-autonomous-driving-acrossMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "v2x-qa-a-comprehensive-reasoning-dataset-and-benchmark-for-multimodal-large-language-models-in-autonomous-driving-across",
"query_text": "Summarize V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views",
"normalized_query": "2604.02710",
"route": "/signal-canvas/v2x-qa-a-comprehensive-reasoning-dataset-and-benchmark-for-multimodal-large-language-models-in-autonomous-driving-across",
"paper_ref": "v2x-qa-a-comprehensive-reasoning-dataset-and-benchmark-for-multimodal-large-language-models-in-autonomous-driving-across",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
PDF: https://arxiv.org/pdf/2604.02710v1
Repository: https://github.com/junwei0001/V2X-QA
Source count: Pending verification
Coverage: 0%
Last proof check: 2026-04-06T20:15:10.035Z
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
Canonical Paper Receipt
Last verification: 2026-04-06T20:15:10.035ZFreshness: fresh
Proof: unverified
Repo: unknown
References: 0
Sources: 0
Coverage: 0%
- - paper_evidence_receipts.references_count
- - paper_evidence_receipts.coverage
- - Canonical evidence receipt has not been materialized yet.
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