The M.I.N.I. Framework: Macroscopic Integration of Non-local Information

Contemporary physics faces irreconcilable friction at the intersection of general relativity, quantum mechanics, and cosmology. The persistent failure to detect weakly interacting massive particles (WIMPs) for Dark Matter, alongside the paradoxes of objective state reduction and non-local entanglement, suggests a fundamental flaw in the assumption of a continuous, physically objective spacetime metric. This paper proposes the Emergent Topology of Information (ETI) framework, which models the universe as a discrete, hyper-dimensional Tensor Entanglement Substrate. By enforcing strict Ontological Equivalence (M = E = I), we mathematically redefine mass and energy as geometric density and causal capacity limits within a bipartite quantum topology. Under this architecture, 3+1D spacetime is relegated to an emergent macroscopic observable manifold, dynamically orthogonalized by the Hamiltonian Operator to prevent the violation of local causal density bounds. General relativity is subsequently recovered not as a fundamental geometry, but as the macroscopic consequence of the substrate executing the Principle of Least Action during unitary operator evolution. By redefining fundamental particles as bipartite Ququarts governed by strict thermodynamic dissipation thresholds, ETI formally eliminates the requirements for invisible particulate dark matter, cosmological inflation, and stochastic wave-function collapse. Supported by recent empirical validations of massive-particle momentum entanglement, we propose a tabletop experimental protocol utilizing a Py/NbRe/Py Synthetic Markov Blanket to engineer the Singlet Vacuum State and detect localized Topological Reallocation Waves (TRWs).