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This paper challenges the assumption that current Vision-Language Models faithfully synthesize multimodal data, proposing an information-theoretic Modality Translation Protocol with new metrics (Toll, Curse, Fallacy of Seeing) to evaluate trustworthiness over traditional multimodal gain.