MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation | Signal Canvas | ScienceToStartup

Page Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi

stale

Proof freshness: stale
Proof status: unverified
Display score: 5/10
Last proof check: 2026-05-11
Score updated: 2026-05-11
Score fresh until: 2026-06-10
References: 0
Source count: 3
Coverage: 50%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

Agent Handoff

Canonical ID morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi | Route /signal-canvas/morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi",
    "query_text": "Summarize MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation",
  "normalized_query": "2605.07370",
  "route": "/signal-canvas/morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi",
  "paper_ref": "morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

PDF: https://arxiv.org/pdf/2605.07370v1

Source count: 3

Coverage: 50%

Last proof check: 2026-05-11T20:47:11.455Z

Signal Canvas receipt window

Watch and verify: MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

/buildability/morph-u-multi-objective-resilient-motion-planning-for-v2x-enabled-autonomous-driving-in-high-uncertainty-environments-vi

Watchwatch

Subject: MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

Verdict

MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation

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