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Learned trackers may trade catastrophic failures for sustained drift, revealing a nuanced vulnerability in their robustness under real-world conditions.
Text-to-image models consistently depict countries like India and Nigeria as disproportionately impoverished, revealing stark socio-economic biases that GeoDiv can now systematically measure.
