RECURSIVE COGNITIVE ARCHITECTURE ASSESSMENT: QUANTITATIVE FRAMEWORK FOR META-REASONING EVALUATION IN LARGE LANGUAGE MODELS

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Carlos Alberto De la rosa Garcia
DOI: 10.5281/zenodo.18155669
Cited by: 0

Abstract

This dataset presents a complete experimental protocol for evaluating recursive and meta-cognitive capabilities in language models. It includes structured six-phase dialogues, quantitative metrics of coherence (82.3%), recursive depth (4.5 layers), and systemic boundary analysis, with validation tools and replication protocols for AI systems evaluation research.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 January 2026
Document type
Dataset