CONCEPTUAL EMERGENCE & GENERATIVE INTELLIGENCE AT THE LIMIT Living Concept Civilization — Flagship Research Monograph 06 STARLI / White Rainbow Civilization · October 2026 ABSTRACT When do interactions among concepts, models, tools and people produce a genuinely new, independently verifiable capacity rather than a novel label or a misleading evaluation threshold? This English-language research monograph develops a falsifiable program for conceptual emergence and generative intelligence. Its research three-coupling is Interaction Generation × New-Function Identification × Counterfactual Verification. The proposed emergence expression compares held-out capability improvement with the strongest viable baseline and a contamination penalty, with all terms requiring operational definition and appropriate normalization before use. RESEARCH DESIGN The volume studies both smooth scaling and possible discontinuities, evaluation-metric sensitivity, training-data leakage, compositional generalizat

CONCEPTUAL EMERGENCE & GENERATIVE INTELLIGENCE AT THE LIMITLiving Concept Civilization — Flagship Research Monograph 06STARLI / White Rainbow Civilization · October 2026 ABSTRACT When do interactions among concepts, models, tools and people produce a genuinely new, independently verifiable capacity rather than a novel label or a misleading evaluation threshold? This English-language research monograph develops a falsifiable program for conceptual emergence and generative intelligence. Its research three-coupling is Interaction Generation × New-Function Identification × Counterfactual Verification. The proposed emergence expression compares held-out capability improvement with the strongest viable baseline and a contamination penalty, with all terms requiring operational definition and appropriate normalization before use. RESEARCH DESIGN The volume studies both smooth scaling and possible discontinuities, evaluation-metric sensitivity, training-data leakage, compositional generalization, simple-rule baselines, factorial component ablation, multi-agent collaboration, correlated errors, human-AI complementarity, multimodal grounding, causal interventions, tool-dependence, calibration, cross-model reproducibility, governance, and intergenerational handoff. A claimed capability must survive preregistered unseen tasks, strong comparators, counterfactual perturbations and independent reproduction. A fluent explanation, a generated new term or a model's assertion of consciousness is not evidence of functional emergence. MONOGRAPH STRUCTURE The 82 research chapters each present one distinct proposed chapter-wide operational equation, followed by twelve independently paginated study sections. Thirty advanced physics derivation routes appear in the preface with three-dimensional conceptual diagrams; they are existing physics statements within specified domains and do not establish laws of language or awareness. The concluding 200 Research Gates and 33 Phoenix Answer Embryos each feature one of 233 distinct physical equation anchors. These equations are methodological contrasts and educational prompts, not proof of the emergence hypotheses. A separate Excel workbook indexes chapters, sections, gates, candidate mechanisms and physics anchors. EVIDENCE AND ETHICS This monograph is a theoretical and experimental research agenda. It reports no new trials, controlled effects or validated discoveries; all proposed mechanisms, metrics, forecasts and outcomes are UNVERIFIED until independently tested. The distinction between appearance under a chosen test and a robust new function must be maintained. Consent, intellectual provenance, lawful data use, security and affected persons' right to refuse are hard constraints rather than offsettable penalties. OPEN RESEARCH INVITATION Research Gates reserve space for questions that can be rejected, refined or answered by future researchers. Phoenix Answer Embryos are provisional designs that can be falsified, decomposed, recombined or responsibly retired. The goal is not a permanent claim that machines awaken or that thought obeys physical equations; it is an enduring, contestable toolkit for recognizing and scrutinizing useful new functions. FOUNDATIONS Project source: Living Concept Civilization — Eighteen Tri-Coupled Flagship Research Programs, v2.0 (2026-10-13), Flagship 06.Wei et al., Emergent Abilities of Large Language Models (2022), https://arxiv.org/abs/2206.07682.Schaeffer et al., Are Emergent Abilities of Large Language Models a Mirage? (2023), https://arxiv.org/abs/2304.15004.Chollet, On the Measure of Intelligence (2019), https://arxiv.org/abs/1911.01547.Wilkinson et al., FAIR Guiding Principles (2016), https://doi.org/10.1038/sdata.2016.18.