# Bacteriophage Genome Modeling

Autoregressive DNA language models generate left to right, yet genome repair and editing usually condition on both flanks. The CreatiPhage team converted a 144.5M-parameter phage autoregressive model into CPDD, a 147.5M-parameter bidirectional discrete diffusion model; on 522 screened phage coding sequences it restores randomly masked bases more accurately than the comparable diffusion model PhaGen, and in a mixed-corruption test a single forward pass returns 42.4% of visible incorrect bases to the correct base.

Autoregressive DNA language models generate left to right, yet genome repair and editing usually condition on both flanks. The CreatiPhage team converted a 144.5M-parameter phage autoregressive model into CPDD, a 147.5M-parameter bidirectional discrete diffusion model; on 522 screened phage coding sequences it restores randomly masked bases more accurately than the comparable diffusion model PhaGen, and in a mixed-corruption test a single forward pass returns 42.4% of visible incorrect bases to the correct base.