We present a technical cosmological-inference framework for the finite-capacity latency–erasure theory (FCLET) designed for implementation in a Boltzmann plus MCMC pipeline. Earlier works in the FCLET program established moderated erasure cosmology, matter-coupling closure, perturbation consistency, parameter hierarchy, mathematical admissibility, and benchmark-oriented numerical architecture. The present manuscript converts that architecture into an inference-ready formulation. We specify a canonical cosmological realization, define a minimal yet nontrivial sampling basis, derive explicit background and linear-perturbation equations, formulate hard theoretical viability cuts, and describe a concrete CLASS-to-Cobaya or CLASS-to-MontePython implementation path. We also define the real-data likelihood stack, including CMB, BAO, type-Ia supernovae, growth, and lensing-sensitive information, and state the statistical outputs required for referee-level assessment: posterior distributions, contour plots, breakdowns, information criteria, posterior-predictive curves, and tension metrics. The purpose of this work is not to claim an empirical victory before the chains are run, but to remove all ambiguity about what would count as cosmological success, triviality, or exclusion. We distinguish a trivial near-CDM survival branch from a genuinely nontrivial latency–erasure branch and define explicit criteria for each. Particular emphasis is placed on the question of whether FCLET can maintain perturbative stability, preserve the matter era, remain compatible with precision background observables, and still produce a statistically meaningful posterior island once confronted with real data. The paper is intentionally written to answer the strongest foreseeable referee objections: that the model simply re-labels dark energy, that its parameters are underconstrained, that it improves the background only by damaging perturbations, or that it collapses to CDM under full likelihood pressure.
Ali Caner Yücel (Sun,) studied this question.