The Energy to Information Inverse Harvesting Vacuum Noise under Kearon Conditional Unlocking Fields

This preprint introduces the Energy-to-Information Inverse within the framework of Kearon Conditional Unlocking Fields. It reframes energy as a rate descriptor of conditional update activity rather than a fundamental substance, and proposes a lawful mechanism for accumulating usable persistence by selectively stabilizing unavoidable ambient update noise (commonly described as vacuum fluctuations). The work remains fully compliant with conservation principles, as no updates are created only conditionally filtered for survival. The paper provides a necessity-preserving theoretical foundation for future non-combustive power and computation systems based on information-selective stabilization rather than material consumption.