Swarm-Intelligence and AI-Driven Drift Prediction in Aviation SAR: The-Luft Methodology and URCM-Compatible Interpretive Engineering Framework for Multi-Domain Survivor Localization.

This preprint represents a refined and structurally consolidated edition of the aviation‑domain extension of the Maritime Assessment & Rescue Interpretive Triaging methodology. Version 3 integrates the architectural elements first explored in earlier drafts (v1 and v2), but undergoes a full cycle of clarification: improved terminology, corrected evidentiary status, revised technical assumptions, and alignment with the fail‑safe design principles that define the broader methodology. Versions 1 and 2 are retained as part of the documented development history. They reflect the initial analytical framing and early attempts to translate maritime triage logic into an aviation search‑and‑rescue environment. Their role is historical rather than operational: they show how the concept began, how the structure was formed, and how the methodology evolved. Version 3 presents the coherent edition — with corrected architectural boundaries, updated activation and communication logic, a consistent treatment of limitations, and a fully aligned description of the Passenger Sovereign Localization System (PSLS). This document does not claim to describe a validated or deployed system. It is offered as a proposal for technical review, critique, and further engineering development. Its purpose is to provide a clear and responsible foundation for independent evaluation by regulators, engineers, SAR operators, and research institutions. It does not replace existing aviation SAR systems; rather, it proposes an additional human‑centric redundancy layer intended to function under structural fragmentation, connectivity loss, or survivor dispersion. If our work helps locate and save even one affected individual, then it has not been created in vain.