This work proposes a novel conceptual framework for quantum gravity phenomenology based on the notion of latent geometric capacity. We distinguish between space — the pre-geometric capacity to contain adjacency relations — and the universe — the actually occupied classical volume. Within this picture, the orientation sign μᵥ = ±1 of spin-network vertices in Loop Quantum Gravity is reinterpreted: a connected cluster of μᵥ = -1 vertices constitutes a physical latent geometric region — a topological defect in the orientation field that contributes negatively to the volume operator. An isolated μᵥ = -1 vertex, by contrast, remains a gauge artifact. Similarly, negative-tension branes in M-theory compactifications are recast as compressed capacity stored in compactified dimensions. We postulate that cosmological expansion proceeds via geometric annihilation: the dynamical conversion of negative-capacity regions (V_-) into positive classical volume (V_+) at their interface. The effective 4D dynamics are governed by the standard Einstein equations supplemented by an effective energy-momentum tensor sourced by this latent capacity. To move beyond purely conceptual arguments, we present an explicit analytical calculation of the volume operator on a minimal tetrahedral spin-network graph with all spins j = 1/2. This model demonstrates the exact cancellation of volume when a single inverse-orientation vertex is present and provides a concrete, derived benchmark for the latent fraction |V_-|/V_+, replacing earlier illustrative placeholders with a computable order of magnitude. The primary contribution remains conceptual and interpretative, but is now anchored to a tractable computational core. We identify a unifying category — latent geometric capacity — that bridges Loop Quantum Gravity and M-theory. Phenomenological consequences are outlined, including potential imprints on the primordial power spectrum, quasinormal mode spectra of compact objects, and logarithmic corrections to black hole entropy. A phased research roadmap is presented, outlining the analytical, numerical, and observational steps required to transform this heuristic framework into a quantitatively predictive theory. All numerical estimates are explicitly identified as derived from the minimal model where applicable, with extrapolations clearly marked as pending first-principles spin-foam calculations. Relative to the initial conceptual draft (v1), this substantially revised version adds: (i) an explicit minimal computational model on a tetrahedral spin-network graph demonstrating volume cancellation; (ii) a gauge-invariant characterization of inverse-orientation domains via correlation functions; (iii) an effective Ising-like Hamiltonian for the large-scale orientation dynamics; (iv) a refined phenomenological approach that treats key parameters as free and scans their allowed ranges rather than selecting fiducial values; and (v) a detailed research roadmap with concrete experimental targets. The framework thus evolves from a heuristic sketch to a physically grounded research program. This paper also explicitly clarifies its methodological stance: the LGR framework does not aim to derive its postulates from the internal dynamics of LQG or M-theory, but identifies them as independent manifestations of a single, novel category — latent geometric capacity.
Alex Bilic (Thu,) studied this question.