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MLLMs can recognize urban scenes but fail to maintain reliable navigation and goal-directed behavior over extended exploration in complex environments.
Lifecycle-wide perception is crucial for evidence-grounded scientific discovery, allowing OmniScientist to outperform traditional AI systems in research quality and depth.
