[Research/Code] Verified Multi-Agent Hallucination Elimination via Destructive Interference (PSAS)

Hey everyone,

Standard multi-agent LLM pipelines often struggle with unverified logic branches, hallucinated constraints, and a lack of rigorous physical grounding when tackling complex engineering or material science problems.

I’ve open-sourced the Phase-Shifted Agentic Swarm (PSAS) framework, a multi-agent cognitive synchronization architecture designed to cross-validate competing perspectives and systematically eliminate logical contradictions before final execution.

Core Architecture

* **Agent Alpha (Strict Physics Anchor)**: Relies strictly on known thermodynamic, material science, and mathematical constraints with zero speculation (Temperature: 0.0).

* **Agent Beta (Lateral Topology Probe)**: Explores edge cases, alternative geometric interpretations, and unusual topological mapping (Temperature: 0.8).

* **Agent Gamma (Adversarial Filter)**: Identifies logical fallacies, physical impossibilities, and structural constraint violations (Temperature: 0.4).

* **Overarching Awareness Engine (Interference Engine)**: Evaluates all three frequencies to calculate the Consensus Delta, applies destructive interference to sever and delete flawed logic branches, and outputs the final verified truth state.

Empirical Validation Dataset

The repository includes a parametric verification script validating acoustic failure thresholds and structural limits for Monolithic Fused Quartz (SiO2) using Linear Elastic Fracture Mechanics (LEFM).

• Technical Specification & Dataset (Zenodo DOI): Phase-Shifted Agentic Swarm (PSAS) Verification Data | Zenodo Feedback, testing, and multi-agent integration benchmarks are welcome! Dual-licensed under AGPLv3 with commercial options available.