LFCT Validation Suite: Quantitative Predictions vs Observational Data (Data Runs D thru M)

This dataset contains the LFCT 2026 Data Runs package, version 3.1.0, collecting the reproducible validation runs D through M for Light Frame Cadence Theory. The package provides scripts, outputs, README files, and manifest documentation for a sequence of zero-parameter structural tests spanning galaxy dynamics, cosmological scaling, CMB temperature/readout structure, gravitational slip, electroweak crossover, and CMB TT production modeling.

The package distinguishes two canonical CMB TT production regimes. Data Run H records the analytical nine-correction baseline model, which preserves the closed-form historical derivation path. Data Run M records the carrier-native ten-correction production-freeze model, which externalizes the TR-carried residual-share correction and gives the final carrier-native TT score. The two regimes are intentionally kept separate: Run H functions as the analytical baseline, while Run M functions as the production model used for the current LFIS-29 capstone accounting.

The archive is intended to support reproducibility and auditability of the LFIS predictive and CMB volumes. It does not introduce fitted cosmological parameters or per-feature tuning; each run is documented as a structural validation or production accounting pass under the LFCT/LFIS framework. The package is provided as a companion dataset for the Light Frame Infrastructure Series and related Light Frame Cadence Theory publications.