The TAIB dynamic framework is presented, a discrete and non-geometric model where the generation of a dynamic gap (m > 0) emerges from internal causal constraints. Unlike standard continuous field theory formulations, TAIB identifies informational latency and non-linear feedback as the fundamental mechanisms inducing a finite temporal correlation scale. Through the SAP audit protocol, we certify the system's convergence toward a residual mass attractor R* ≈ 48. 61 and the existence of a dynamic gap mTAIB ≈ 9. 74 x 10^-4 after 2. 5 x 10⁶ update steps. The gap is operationally defined through the exponential decay of temporal correlations in the stationary regime. These results suggest that the emergence of a mass scale may be a robust property of causal dynamic systems with finite latency, offering a complementary—though not equivalent—perspective to traditional gauge formulations of the Yang–Mills mass gap problem.
José Luis Gamio (Thu,) studied this question.