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This paper introduces a constraint-based model that predicts the masses of Standard Model particles using zero free parameters. Instead of relying on adjustable constants, it encodes mass as exponential functions of a fixed 198-bit informational limit—derived from α⁻¹ / ln(2). The results match known particle masses with strong precision and suggest mass is a computational output of informational constraint.