Deterministic Composite Prediction via OPFORMS

This work introduces a deterministic, constructive model for generating and certifying prime structure within a filtered arithmetic domain. Candidates are represented through an encoded normalization scheme, and composite structure is produced explicitly via ordered product generators (OPFORMS). Primality arises as a survivor property under monotone state evolution rather than through divisibility testing, factorization, or classical sieving. A predictive composite coverage invariant is established, showing that no encoded composite can persist below the algorithmic prediction frontier. All claims are restricted to the defined model and verified computational ranges.