This report presents a public benchmark validation of Coupled Neural Interactive Topology CNIT₅. 05. 03+R07x57, an advanced implementation of the CNIT research line initiated with R05. The benchmark evaluates CNIT on 128 controlled reasoning scenarios covering transitive order, forward chaining, contraposition, minor exceptions, false-majority rejection, schema transfer, explicit contradiction detection, and noise-focused decision making. The run completed successfully with a PASS verdict: 128/128 scenarios were solved correctly, with 128/128 ablation checks confirming that the tested capabilities are functionally necessary. The runtime also produced a stable morphogenetic profile, with 160 structural worlds, a maximum proto-depth of n+4, and a balanced depth distribution across four structural levels. Beyond raw accuracy, the report documents CNIT’s runtime behavior through cockpit captures, diagnostic scores, morphogenesis indicators, population monitoring, basin activity, and structural-depth tracking. The results support CNIT’s capacity to combine symbolic-style reasoning, contradiction handling, noise resistance, adaptive structure formation, and runtime auditability within a single monitored cognitive architecture. This benchmark does not claim to exhaustively validate CNIT as a complete general intelligence architecture, but it establishes a significant experimental milestone: CNIT R07x57 achieves full success on a controlled multi-family reasoning benchmark while preserving stable internal morphogenesis and auditable runtime dynamics. S. G 05/2026 - Caen.
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Sylvain Gefffroy
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Sylvain Gefffroy (Tue,) studied this question.
synapsesocial.com/papers/6a17dcf93fad632b0f9d9b38 — DOI: https://doi.org/10.5281/zenodo.20391338