June 25, 2026· ~5 min readThe Dimension Split in L-Function Zero Statistics: When GUE Meets Poisson ## Introduction In 1973, Hugh Montgomery proposed a startling conjecture: the non-trivial zeros of the Riemann zeta function are distributed like thteaching
June 2, 2026· ~7 min readMachine Learning for Modular Forms: From 1K to 200K Forms [Download Full Paper (PDF, 42 pages)](https://zenodo.org/record/20510032/files/paper.pdf) _This article presents the first systematic machine learni
May 30, 2026· ~3 min readMachine Learning for Modular Forms: GNNs, Spectral Methods, and L-Function Phenomenology — Comprehensive Preprint **Published on Zenodo:** [10.5281/zenodo.20479512](https://doi.org/10.5281/zenodo.20479512) This preprint synthesises the complete Riemann Project —
May 30, 2026· ~12 min readA Machine Learning Pipeline for Modular Form Analysis: Hecke Traces, L-Function Zeros, and the Sato-Tate Distribution [Download Full Paper (PDF, 12 pages)](/downloads/Predicting-L-Function-Properties-from-Trace-Index-Graphs.pdf) _This article synthesizes findings ac
May 27, 2026· ~7 min readPredicting L-Function Properties from Trace-Index Graphs using Graph Neural Networks **[Download Full Paper (PDF, 12 pages)](/downloads/Predicting-L-Function-Properties-from-Trace-Index-Graphs.pdf)** _This paper is the positive count
April 19, 2026· ~15 min readWhen Graph Neural Networks Meet the Riemann Hypothesis: A Systematic Negative Study ## Abstract Graph Neural Networks have achieved remarkable success on graph prediction tasks across chemistry, social networks, and combinatorial opresearchaimachine-learningnumber-theory