Time-Scalar Field Theory (TSFT) models compact astrophysical objects as solutions to coherence routing under compression, rather than as manifestations of distinct fundamental forces. In prior work, this framework was shown to organize magnetars and pulsars through a stability functional Λ derived from timing observables. Here we extend that analysis across a broader compact-object ladder—including canonical pulsars, magnetars, Central Compact Objects (CCOs), black-hole X-ray binaries (BHXBs), and white dwarfs—testing whether a single scalar functional retains explanatory and predictive power across regimes of increasing compactness and channel geometry. Using curated datasets from ATNF, the McGill Magnetar Catalog, De Luca (2017) CCO compilations, the BlackCAT BHXB catalog, and SDSS DR7 white dwarfs, we perform correlation, regression, and classification analyses without class-specific tuning. We find that Λ-based models outperform baseline correlations across multiple targets, achieving a multi-class AUC of 0.981 and statistically significant improvements in explained variance for radiative outputs (e.g., R2 = 0.55 vs. 0.32 for BHXB peak X-ray flux). Residual structure is shown to be non-random and class-dependent, suggesting physically meaningful channel misalignment rather than noise. These results elevate Λ from a descriptive magnetar diagnostic to a falsifiable, cross-population inference tool. We interpret residuals as signatures of channel transitions and outline explicit observational predictions, establishing a framework for survey-guided discovery without post hoc fitting.
Jordan Gabriel Farrell (2025) studied this question.