Multi-Channel Compact-Object Inference in Time-Scalar Field Theory: Expanded Populations, Correlation Structure, and Predictive Discovery of the Λ Stability Functional

We extend the empirical compact-object program introduced in Coherence Efficiency Under Compression: Froggle’s Dilemma, Blacksmith Magic, and Unified Channel S election in Time-Scalar Field Theory by expanding the object set, observable channels, and predictive validation of the TSFT stability functional Λ. Time-Scalar Field Theory (TSFT) interprets compact-object phenomenology as efficiency-selected routing of temporal shear under compression, predicting that transitions between electromagnetic, thermal, weak-exhaust, and geometric export regimes are governed by coherence cost rather than dipole heuristics alone. Using publicly available neutron-star timing data and magnetar radiative catalogs, we (i) enlarge the classification task beyond a two-class magnetar–pulsar separation to include boundary populations (e.g., high-B radio pulsars and low-dipole magnetars when present), (ii) map correlation structure between Λ and multiple radiative and timing observables (quiescent LX, spectral index Γ, thermal properties, and rotational irregularity indicators such as glitch statistics where available), and (iii) perform out-of-sample validation using nested cross-validation, bootstrap uncertainty estimates, and ablation tests comparing Λ to standard P– ˙P and dipole-proxy feature sets. Across tasks, TSFT-motivated composites preserve or improve discrimination and significantly strengthen correlation predictability for radiative state variables, while maintaining probability calibration. The resulting multi-channel evidence supports TSFT’s central claim: compact-object behavior is governed not solely by magnetic-field proxies but by coherence efficiency under compression, with falsifiable residual structure in transitional and outlier objects.