Phase-Shifted Agentic Swarm (PSAS) Verification Data

This dataset provides the empirical verification of the Phase-Shifted Agentic Swarm (PSAS) architecture, a computational framework designed to systematically identify and mitigate hallucinated topologies in Large Language Models (LLMs) through applied physics-inspired logic. Utilizing a multi-agent orchestration governed by an Overarching Awareness Engine, the PSAS framework resolves logical discrepancies by computing a Consensus Delta, effectively severing unverified branches via "destructive interference." To validate this architecture, the Swarm calculated the dynamic acoustic failure thresholds of a monolithic fused quartz resonator using Linear Elastic Fracture Mechanics (LEFM). This record includes a parametric sweep of acoustic failure thresholds and Consensus Delta destructive interference logs. File Structure & Access: PSAS_Methodology_Specification.pdf: Complete institutional documentation detailing the PSAS architecture, multi-agent logic orchestration, and LEFM parameterization steps. PSAS_Acoustic_Failure_Dataset.json: The raw verified truth-state matrix including atomic-to-micro-crack flaw gradients, harmonic sweeps, and immutable destructive interference logs.