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IMGNet is a face verification model that identifies people using sign patterns instead of cosine similarity, offering a new approach to facial recognition.
Proposes the Bag of Dims framework showing that the standard basis of transformer hidden states provides a training-free, architecture-general feature representation where dimensions encode semantic content via sign patterns; validated across language, vision, and audio models, achieving high accuracy with no learned rotations.