ArrowSpace successfully processed 100,000-dimensional biomarker data from the Dorothea dataset, scaling to 800 samples in 41-110 seconds with over 600× memory compression. The system achieved 5-22% graph density through parameter sweeps, with TauMode computation being the critical bottleneck at 62% of runtime. Johnson-Lindenstrauss projection and k-NN connectivity emerged as key factors controlling build time and graph density respectively.