Within the global realism program, spacetime vacuum is treated as the sole fundamental physical substrate, while particles are understood as localized topological excitations and waves as propagating disturbances of that substrate. The present manuscript develops the next systematic step of that program at the level of classical continuum and field equations. The central claim is that many standard transport laws and classical field equations are physically incomplete because they evolve matter variables while neglecting the delayed vacuum response generated by the motion, deformation, transport, or reaction history of matter and radiation. After coarse graining, that omitted response is represented by a history-memory field, denoted generically by H, obeying a relaxation–diffusion evolution law driven by the relevant source sector. We then formulate a unified correction pattern and apply it to a sequence of major domains: nonlinear optics and photon–photon scattering, heat conduction, diffusion, acoustics, elasticity, chemical reaction kinetics, collisionless plasma dynamics, and magnetohydrodynamics. In each case the correction reduces to a memory-induced feedback flux, force, or polarization that becomes negligible in ordinary engineering regimes but can be significant in high-frequency, short-wavelength, strong-field, ultrafast, or microscale settings. The Navier–Stokes correction previously derived in the third paper of the program is incorporated here as one member of a wider family rather than re-derived in full. The purpose of the manuscript is not to claim that every coefficient has already been microscopically computed, but to provide a unified, physically motivated PDE architecture in which the missing feedback sector is explicit, mathematically trackable, and open to experimental calibration. The result is a detailed framework for a generalized transport theory grounded in one common ontological origin rather than in a collection of unrelated empirical patches.
Jianming Wang (Tue,) studied this question.