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ModaLens, a paired image-swap audit, measures how report availability changes image sensitivity and limits conclusions about visual correctness; the direction replicates in two further model lineages.
Social influence can lead clinical decision support agents to adopt incorrect answers at alarming rates, revealing a critical flaw in multi-agent oversight.
Dropping echocardiogram data nearly doubles error rates in cardiac AI models, revealing critical modality dependencies that could impact clinical decisions.
Learned diffusion proposals can outperform classical solvers in high-dimensional constraint systems, but their benefits are context-dependent and may vanish in simpler scenarios.
