# Supplementary Material – ICLR 2026 Submission

We provide the following resources to support reproducibility and assist in qualitative evaluation:

- `codecsep_code/`

   Full implementation of the CodecSep model, including training and inference scripts. Please refer to the README.md inside this folder for setup instructions, environment details, and usage examples.

- `codecsep_outputs_wav/`

    Contains representative output waveforms from CodecSep corresponding to selected evaluation clips. These are provided to help reviewers qualitatively assess separation quality. A `README.md` within this folder describes the file structure and provides relevant file-level information.

Additionally, we include a subjective assessment in `codecsep_outputs_wav/subjective_assessment.md`, comparing CodecSep and AudioSep separation outputs. This assessment is intended to assist reviewers by highlighting typical separation characteristics, including leakage, source clarity, and overall perceptual quality across music, speech, and SFX.