I just published the first technical release of NCT Depth Motif , an exploratory computer vision project around RGB-D / depth-map validation. Repository: https://github.com/Hanzzel-corp/nct-depth-motif What is this? NCT Depth Motif is an experiment that tests whether local depth-map structure can be represented as discrete 3D symbolic motifs across X/Y/Z components. Instead of treating depth maps only as continuous gradients, the method discretizes local geometric behavior into motif states and then evaluates whether those motifs survive statistically against random baselines. What is included? RGB-D / depth-map experiments NCT 3D motif-survival validation grouped split validation RGB-cluster leave-one-out validation CUDA-accelerated random baseline evaluation empirical p-values reproducibility scripts documented limitations Current result The strongest evaluated variant is: motif_survival_binary In the current exploratory setup, it showed a consistent positive signal against random motif baselines.…