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cs.CV2026
Where to Look Is Not How to Fix: Pre-Denoising Diagnostics and Modality-Dependent Control in Diffusion Composition
Fangzheng Wu, Brian Summa
Understanding compositional failures in text-to-image diffusion requires identifying both where stress is detectable and how intervention changes the output. We study these questio…
cs.CV2026
Attention Sinks in Diffusion Transformers: A Causal Analysis
Fangzheng Wu, Brian Summa
Attention sinks -- tokens that receive disproportionate attention mass -- are assumed to be functionally important in autoregressive language models, but their role in diffusion tr…
cs.CV2026
Model-Centric Diagnostics: A Framework for Internal State Readouts
Fangzheng Wu, Brian Summa
We present a model-centric diagnostic framework that treats training state as a latent variable and unifies a family of internal readouts -- head-gradient norms, confidence, entrop…