How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning

How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/how-far-are-vision-language-models-from-constructing-the-real-world-a-benchmark-for-physical-generative-reasoning

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Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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Canonical ID how-far-are-vision-language-models-from-constructing-the-real-world-a-benchmark-for-physical-generative-reasoning | Route /signal-canvas/how-far-are-vision-language-models-from-constructing-the-real-world-a-benchmark-for-physical-generative-reasoning

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MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning

PDF: https://arxiv.org/pdf/2603.24866v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning

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