Computational Investigation of Recursive Transport Stability: RTS-1A-R: Survey Design, Reproducibility Architecture, and Evidence Requirements
Year: 2026
Type: preprint
Abstract: This preliminary research manuscript documents the computational investigation framework of Recursive Transport Stability Theory (RTS), with particular emphasis on the RTS-1A-R recursive transport stability survey. The manuscript describes the computational design, parameter-space exploration, numerical observables, execution controls, checkpointing mechanisms, and reproducibility requirements associated with investigating stability in recursively organized transport systems. The RTS-1A-R survey design specifies 200 parameter–seed configurations, covering recursive depth, transport coupling, curvature backreaction, and random-seed variation. This planned survey structure must not be interpreted as evidence that all configurations have completed successfully or that 200 independent replications have been performed. Research status: Preliminary computational research manuscript. This work has not been peer reviewed. The manuscript documents the computational methodology and evidence requirements; it does not claim that the complete RTS framework has been computationally validated. Final numerical findings require verification against the original execution records, completion ledger, and analysis outputs. Purpose of public release: To establish a citable record of the RTS computational methodology, document the research programme's reproducibility architecture, and enable scholarly examination of its assumptions, implementation, and validation requirements. Authorship: Blair Lawrence. AI tools assisted with aspects of manuscript preparation and editing; the author is responsible for the manuscript's content and limitations. This manuscript is Paper II of a coordinated three-paper RTS research series. Paper I addresses the foundational ontology and formal-language programme. Paper III examines possible physical implications, emergent geometry, and falsifiable research questions.
Author: Lawrence, Blair
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7222829678
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