INTELLIGENT NANO-ACUPUNCTURE AND NEUROIMMUNE MODULATION MECHANISMS AT THE LIMIT STARLI / WHITE RAINBOW EPOCH / FLAGSHIP 26 OF 90 EXACT 777-PAGE NONCLINICAL RESEARCH WORKING EDITION v1.0 / 26 OCTOBER 2026 This volume develops an evidence-limited research architecture for the proposed coupling of intelligent nano-acupuncture, neuroimmune mechanisms, and physiological identification. Its central concern is whether time-linked neural proxy signals and inflammatory biomarker trajectories can be distinguished from material contact, tissue injury, assay handling, instrument drift, sampling delay, and ordinary physiological variability. It describes prospective falsifiable studies, NOT a completed experimental validation of nano-acupuncture, a new human trial, or demonstrated clinical efficacy. The core three-coupling is NEUROIMMUNITY x ACUPUNCTURE INPUT x PHYSIOLOGICAL IDENTIFICATION. A candidate source-and-clearance model is dC_cyt/dt = r(a,t) - k_clear*C_cyt. This expression is a restricted compartment mass balance: r represents an analyte source rate and k_clear a hypothetical first-order removal constant, under stated volume and kinetic assumptions. A change in modeled cytokine concentration by itself neither identifies a vagal, sympathetic or peripheral sensory route nor establishes anti-inflammatory benefit. In particular, a blinded mechanical tissue-injury comparison is a mandatory rival explanation. The mathematics atlas explores thirty distinct questions: single-pool and coupled cytokine kinetics, analytic source-response solutions, convolution, saturation, diffusion-reaction transport, dimensionless hydrodynamic ratios, Brownian motion of probes, measured electrical dose, heating, tissue contact mechanics, calibration and covariance, correlated multimodal posteriors, parametric information, state-space and Kalman estimation, cross-lag association, experimental factorial contrasts, missingness and clustering, held-out forecast error, probability calibration and binary veto governance. Each formula plate defines physical units, validity assumptions, blind counterexamples, and related chapters. These models are research tools, not newly discovered biological laws.