A Parsimonious Hybrid Model for Predicting Goldbach Prime Pairs

We present a hybrid model for estimating the likelihood of prime pairs that satisfy the Goldbach Conjecture. The model integrates heuristic symmetry, prime density approximations, modular structures via Dirichlet L-functions, and a parsimonious regression framework. Tested across 10,000 samples, the model achieves near-zero mean absolute error (MAE) and demonstrates strong generalization across intervals of even integers.