Pan-sharpening aims to fuse the texture-rich details of a high-resolution panchromatic (PAN) image with the spectral information of a low-resolution multi-spectral (MS) image to generate a high-resolution multi-spectral counterpart. Recently, state-space models (SSMs), notably the Mamba architecture, have emerged as promising alternatives for global sequence modeling, achieving efficient processing through inherent linear computational complexity. However, existing Mamba-based pan-sharpening app