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

> Source: <https://discuss.huggingface.co/t/research-code-verified-multi-agent-hallucination-elimination-via-destructive-interference-psas/178631#post_1>
> Published: 2026-08-13 11:41:04+00:00

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](https://zenodo.org/records/21799396)

Feedback, testing, and multi-agent integration benchmarks are welcome! Dual-licensed under AGPLv3 with commercial options available.
