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Structured Residual Signatures of Boundary-Coupled Latent Sectors: A Null-Disciplined Diagnostic Framework for Horizon-Limited Inference | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 18 February 2026 V1 Latest version Share on Structured Residual Signatures of Boundary-Coupled Latent Sectors: A Null-Disciplined Diagnostic Framework for Horizon-Limited Inference Author : Peter Brunzelle 0009-0005-7109-6745 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.177143662.22041898/v1 130 views 124 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Horizon-limited inference tasks inherently compress information about inaccessible degrees of freedom, potentially producing structured residuals in observable summaries. We ask a conservative question: do such residuals require a model class featuring boundary-transfer coupling to an unobserved dynamical sector, beyond conventional sink-like loss or known systematics? We introduce a cross-paper residual ledger that standardizes residual extraction, structure metrics, and null ensembles across prior modules (cosmological consistency diagnostics, horizon-bounded inference, holographic analogs, constrained solver residuals). A minimal dynamical formalism contrasts sink-only removal against latent-sector transfer with controlled feedback. Toy discriminator simulations (sink vs. transfer worlds) validate that boundary-coupled latent sectors imprint low-dimensional, autocorrelated residual signatures robust under strict null controls (time shuffle, phase randomization, scale permutation). Application to a scale-and redshift-resolved cosmological consistency ledger (Arena A) illustrates the pipeline; in tension-active regimes, residuals can exhibit regime-specific structure inconsistent with noise or simple confounds under the null battery, favoring the transfer model class in residual feature space. We emphasize falsifiable diagnostics and model-class inference over ontological commitment; interpretive links to generative cosmology remain hypothetical and are explicitly scoped. Supplementary Material File (structured_residual_signatures_of_boundary_coupled_latent_sectors__a_null_disciplined_diagnostic_framework_for_horizon_limited_inference.pdf) Download 415.84 KB Information & Authors Information Version history V1 Version 1 18 February 2026 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords boundary-coupled dynamics constraint-based epistemology cosmological tensions foundations of physics horizon-limited inference inference under observational horizons latent sector diagnostics model misspecification model-class discrimination null ensembles null-disciplined diagnostics observability limits residual structure scientific inference structured residuals Authors Affiliations Peter Brunzelle 0009-0005-7109-6745 [email protected] Convergence Sciences Initiative View all articles by this author Metrics & Citations Metrics Article Usage 130 views 124 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Peter Brunzelle. Structured Residual Signatures of Boundary-Coupled Latent Sectors: A Null-Disciplined Diagnostic Framework for Horizon-Limited Inference. Authorea . 18 February 2026. DOI: https://doi.org/10.22541/au.177143662.22041898/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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