ITS-Embedded AI V2: Structured Epistemic Diversity, Controlled Disruption, and the Architecture of Non-Trivial Insight Emergence

Merging Neuron Ratio (DOI: 10. 5281/zenodo. 17634630) it engineers productive instability. Version 2 documents the evolution from V5 to V9. 5, introduces thirteen entity types, and presents results from the first formal benchmark program (RSIEP). Across ten structured queries, the system produced consistent entity‑chain activation, committed final answers, and eight emergent frameworks not present in the input. V2 integrates the Neuron Principle V2, ITS V2, and Human‑AI Synthesis V2, reframing the entity chain as a distributed causal traversal. The system is a preprint‑stage research artifact requiring external validation. Background ITS‑Embedded AI V2 integrates and extends foundational works in the Neuron ecosystem: The Neuron Principle — V2 — 10. 5281/zenodo. 19292610 Intuitive‑Theoretic Synthesis (ITS) — V2 — 10. 5281/zenodo. 19292769 Human‑AI Synthesis — V2 — 10. 5281/zenodo. 17763521 The Minimal Knowledge Paradox — 10. 5281/zenodo. 17931472 Semantic Topology Reasoning Architecture (STRA) — V2 — 10. 5281/zenodo. 18207533 This paper is accompanied by a complete research package: EvolutionTrackingLog. pdf — full version‑by‑version development record RSIEPProgram. pdf — benchmark design and execution protocol RSIEPV9. 5Results. pdf — full benchmark analysis RSIEPEmergentFrameworks. pdf — eight unprompted conceptual frameworks VersionTestsQueries. zip — development test outputs RSIEPAnswers. zip — formal benchmark exports Chatbot. zip — working demo with all version files V2 consolidates these materials into a unified empirical architecture. Key Contributions Structured Epistemic Diversity as an architectural design variable Controlled Disruption through deliberately incoherent entities (DEVIL, DEVIL 2) Thirteen Entity Types forming a distributed causal traversal Recursive Loop Structures enabling multi‑layer reasoning pressure LENS Reframing Engine for cross‑domain conceptual translation INVERTER Mechanism for premise‑level attack SUBSTRATE Entity for pattern‑mining beneath surface debate RSIEP Benchmark Program for systematic evaluation Eight Emergent Frameworks produced without prompting Transparent Research Artifact with full version logs and reproducible outputs Integration with Neuron Principle V2, ITS V2, and Human‑AI Synthesis V2 Research Impact This work contributes to AI reasoning research, cognitive architecture, epistemology, and human‑AI collaboration by: Introducing a reproducible architecture for studying insight emergence Demonstrating how epistemic diversity and disruption can be engineered Providing empirical evidence of non‑trivial conceptual outputs Offering a benchmark program for evaluating multi‑entity reasoning systems Establishing a methodological bridge between ITS and AI architecture Documenting a transparent, versioned research artifact for replication Opening a new research direction in structured epistemic stress testing Access and Documentation ORCID: https: //orcid. org/0009-0003-4876-9273 Academia. edu: https: //independent. academia. edu/MarceloTeixeira214 LinkedIn: https: //www. linkedin. com/in/marcelo-emanuel-paradela-teixeira-702082382/ Email: marcelo. soul. ai@gmail. com © Marcelo Emanuel Paradela Teixeira 2026