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Diffusion editors routinely allocate less than 1% of their attention mass to conditioning images, a major identity bottleneck that can be resolved on the fly across multiple architectures using training-free dynamic logit offsets.
Findings reveal sustained, dependency-consistent evidence integration, rather than isolated fact retrieval, as a key bottleneck for current deep research agents.