This article presents an experimental implementation of retrograde metaformal analysis using the double-slit configuration as a controlled testbed. The study investigates whether purely statistical detection data—obtained after phase loss and decoherence—may retain structurally recoverable traces compatible with an underlying interference-organized regime. We introduce a class of admissible retrograde reconstruction operators that act on detection ensembles under strict constraints: phase-blindness, palindromic admissibility, and robustness under null controls. These operators do not invert statistical collapse or restore phase information; instead, they probe whether statistical distributions are structurally closed under probabilistic description alone. Experimental protocols, control ensembles, and robustness tests are specified to exclude algorithmic artifacts and overfitting. The results demonstrate that, under admissible conditions, statistical regimes may exhibit interference-compatible structural residuals exceeding null expectations. The findings support a central metaformal claim: classical statistical descriptions, while operationally sufficient, may conceal deeper organizational layers. Retrograde reconstruction is shown to provide diagnostic access to such layers without violating irreversibility or causal ordering.
David Sepiashvili (Fri,) studied this question.