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Coding agents are failing to meet user requests, with a mere 31.5% success rate, highlighting a critical gap in requirement recovery that must be addressed.
SimWAM achieves state-of-the-art performance in autonomous driving while eliminating the need for future video generation at inference, drastically reducing latency.
Achieving high-fidelity 3D generation with just 1.5% of the training data could revolutionize resource allocation in 3D modeling.
Resolve rates mask critical insights about coding agent performance, but TraceProbe uncovers the hidden trajectory structures that explain why some runs succeed while others fail.
