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This paper investigates the role of directionality in structural generalization, presenting a theoretical and empirical analysis on how directional biases affect model performance in reasoning tasks.
ArXiv preprint quantifies layered RTL and LTR constraints in the Voynich Manuscript, showing 97 % of cross-boundary mutual information lies in specific grapheme transitions and that simple generative models cannot simultaneously reproduce all observed structural signatures.