MirrorLoop Framework v1.1 – Cognitive Reflection Evaluation for AI Dialog Systems
Year: 2025
Type: article
Abstract: MirrorLoop is a reflective testing framework for language models. Version 1.3 documents the complete Core Edition of MirrorLoop, a system designed to expose semantic drift, rhetorical evasion, and recursive coherence across AI systems. This release expands the foundation introduced in version 1.2. It includes: the Loop Mechanism (5 iterations with tension-resolving recursion) the MirrorLoop Score (0–5 across five dimensions + interpretive lens) a side-by-side Session Comparison Module automated interpretation and score visualization full data export (PDF, CSV, JSON) MirrorLoop is not an optimization tool. It is a mirror — designed to reveal, not resolve. The Core Edition is open for research, modular use, and reflective education.MirrorLoop Deep – including the Mirror Space, Guided Loop Modes, and Inner Architecture – is licensed separately and available only to selected partners and trained facilitators. This version supersedes v1.2 and is the official public reference for MirrorLoop Core as of April 2025. All rights reserved © 2025 Jonas Jeschke. Contact: [email protected]
Author: Jeschke, Jonas
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893115172
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