Published: Greene, A. (2026). Mitigating Model Collapse in Recursive Neurosymbolic Agents: The SONAR Benchmark for Semantic Plasticity. Ontological Engineering Pty Ltd. DOI: 10.5281/zenodo.18203600 Official implementation and dataset for the SONAR Benchmark protocol. Core Implementation Details Engine: Includes the sonar_benchmark_nesy.py script, which implements the Synod-Realist-Diplomat recursive triad. Homeostasis: Provides the "Rupture" logic for detecting artifactual divergence via the τ=0.10 threshold. Symbolic Friction: Implements the Deterministic Boolean Constraint Logic validator for actor-action grounding and propositional persistence. Included Dataset N=30 Traces: Full execution traces for both regulated (SONAR) and ablated (Control) groups. Journal Data: Categorical logs documenting the transition from "Looping" to "Grounded" states across the 6-cycle horizon. Legal and Intellectual Property Patent Status: Australian Provisional Patent Application No. 2026900247 was filed on 10 January 2026. The applicant has elected not to proceed with a complete application, dedicating these specific methodologies to open academic research. License: Distributed under the Ontological Engineering Research Use License v1.0. Academic replication, regulatory audit, and independent compliance verification permitted at no charge. Commercial use requires written agreement. See LICENSE.txt.