DARPA's expMath Program: Intent Without Mathematical Discovery — E8 Intelligence Research

FINDING: DARPA's expMath program targets AI-driven mathematical discovery, but the provided sources reveal no specific equations, constants, or solved problems—only programmatic intent and unrelated robotics/astronomy challenges. | MATH: No explicit equations, constants, or ratios extracted from the given abstracts; the only concrete mathematical artifact is the arXiv field report on multi-robotic exploration (CTU-CRAS-NORLAB), which involves path-planning and SLAM (Simultaneous Localization and Mapping) — typically reliant on graph Laplacians, Kalman filters, and quaternion rotations for GPS-denied navigation. | CONNECTION: The robotics SLAM context implicitly uses quaternion algebra (SU(2) → SO(3)) and lattice-based graph structures, but no explicit golden-ratio, base-60, or crystallographic symmetry is stated. The EUCLID project (cosmology) may involve spherical harmonics and Fourier transforms on the sphere, but no ratios are given. | DEPTH: 2 — The findings are meta-level (program Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com