VLM attribution stops at the whole image: MOSAIC traces influence to phrases and regions
MOSAIC decomposes a vision-language model's training-example influence over sparse latent features and maps those features back to specific phrases and image regions, letting researchers ask which concept and which piece of visual evidence supported a prediction.