FPS-R Evaluation & Visualisation Lab

🌐 Stateless Spatial Noise: Continuous Gradient Quantization (Perlin): Generates continuous, smooth gradient curves evaluated statelessly per coordinate ($O(1)$ bidirectional access). To achieve phrased holds, the smooth floating-point gradient is actively suppressed through a rigid post-process quantization (floor(noise * steps)). The architecture expends substantial ALU energy on 5th-degree polynomials only to mutilate and discard the resulting precision.

🌐 Stateless Spatial Noise: Cellular Distance Quantization (Worley): Evaluates euclidean distances to randomly positioned feature points across spatial cell neighborhoods ($O(1)$ bidirectional access). Phrased plateaus are achieved by discretizing the resulting non-linear distance fields (floor(distance * steps)). Like Perlin noise, computing heavy distance metrics only to crush them into flat held integers demonstrates the topological friction of forcing continuous spatial fields into discrete temporal phrasing.