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HighPerViT is presented, a compact vision-only architecture that injects an explicit second-order statistical prior into a transformer-based recognition pipeline, and integrates this token with first-order spatial representations through Perceiver-style latent distillation, supporting explicit statistical tokenization as an effective and robust design principle for texture-centric visual recognition.