Modelo Generativo-Integrativo (MGI): Arquitectura contemplativa secuencial para la integración neurocognitiva de Shiné, Lhaktong y Mahamudra dentro del programa IMAG

This preprint presents the Generative-Integrative Model (MGI) as a falsifiable theoretical-methodological framework describing the sequential neurocognitive integration of attentional stabilization (Shamatha/Shiné), metacognitive monitoring (Vipashyana/Lhaktong), and non-referential awareness (Mahamudra) within the broader IMAG research program. MGI does not propose an alternative theory of conscious imagination. Instead, it specifies a contemplative sequential architecture that complements the overarching IMAG framework by describing how attentional stabilization, metacognitive monitoring, and non-dual integration may be organized as experimentally testable stages within a coherent neurocognitive process. The present work does not report original human experimental data and does not claim established clinical efficacy. It distinguishes rigorously between externally validated evidence for individual components, documentary evidence generated within Study 0A, and the future empirical validation pathway required to evaluate the complete MGI architecture. The preprint includes an auditable documentary corpus, methodological specifications, explicit falsification criteria, supplementary material, computational resources, validation templates, and reproducibility files intended to facilitate independent verification and future replication studies. Within the author's scientific program, IMAG (Conscious Imagination and Mental Simulation) constitutes the overarching theoretical architecture. MGI represents its contemplative sequential specialization, whereas IC-NF constitutes the closed-loop neurophysiological specialization integrating neurofeedback and autonomic calibration. These models are intentionally complementary and are not presented as competing theoretical frameworks. Previous Zenodo publications authored by Florencio Serrano Prior are cited exclusively as programmatic continuity and conceptual traceability. They are not presented as independent external evidence supporting the MGI model. This version is intended as the stable, citable reference implementation of MGI and as the scientific foundation for subsequent empirical studies and multiple peer-reviewed Q1 journal articles.