This archive contains the source codes, notebooks, and datasets associated with the research work: "Chaotic Signatures in Nuclear–Neural Hybrid Mass Model Residuals" The repository implements a physics-informed nuclear-neural hybrid framework for nuclear mass residual analysis, including feed-forward neural network models, mixture-of-experts architectures, residual decomposition procedures, and spectral fluctuation analysis tools. Contents include: • source-code implementations (.py)• computational notebooks (.ipynb)• reconstructed residual datasets (.xlsx)• documentation and reproducibility resources The uploaded archive corresponds to the publication version used in the associated research manuscript.