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FalconTrack automates the generation of photorealistic labeled data, achieving 100% success in real-world tracking while traditional methods falter under pressure.
A surprisingly small 3B parameter model can match GPT-4.1's spatio-temporal reasoning abilities when trained with automatically generated, formally verifiable spatio-temporal supervision.
