Causal Invariants Governing Persistence in Non-Equilibrium Systems

Across diverse physical, astrophysical, planetary, and proto-informational reconstructions, non-equilibrium systems repeatedly self-organize into structured, information-bearing configurations governed by a small set of invariant causal properties. This work presents a unified diagnostic framework for identifying these invariants without assuming thermodynamic equilibrium, predefined material substrates, biological optimization, or domain-specific mechanisms. Rather than introducing new simulations, the study consolidates consistent outcomes observed across multiple independent reconstructions, demonstrating that persistence, stability, and failure are controlled by causal topology rather than energetic favorability alone. The recurrence of these invariants across unrelated domains defines a constrained universality class of non-equilibrium persistence. These findings reframe emergent organization as a deterministic, diagnosable process permitted by standard physics once equilibrium assumptions are relaxed, with implications spanning early galaxies, planetary environments, novel materials, and pharmaceutical systems.