# Coherent Ising Machine

Pretrained generative models are usually screened only over complete outputs already produced, wasting feasible combinations visible in local scores. Structured Re-Decoding (SRD) keeps model parameters fixed while jointly selecting local candidates from scores or samples under task constraints, reconstructing and verifying the result. On FLOWR molecular generation at the same generation budget, single-target composition-and-quality success rises from 419 to 1,309 of 1,800 requests over best-of-4, and dual-target from 119 to 615; the quality pass rate falls from 99.833% to 94.389%.

Pretrained generative models are usually screened only over complete outputs already produced, wasting feasible combinations visible in local scores. Structured Re-Decoding (SRD) keeps model parameters fixed while jointly selecting local candidates from scores or samples under task constraints, reconstructing and verifying the result. On FLOWR molecular generation at the same generation budget, single-target composition-and-quality success rises from 419 to 1,309 of 1,800 requests over best-of-4, and dual-target from 119 to 615; the quality pass rate falls from 99.833% to 94.389%.