RL0 — THE ADMISSION LAYER THE INTERNET IS MISSING

Autonomous systems are rapidly becoming dominant generators of internet traffic. Infrastructure designed under the assumption that each incoming request merits evaluation is increasingly exposed to instability as machine-scale execution expands. In environments where autonomous agents generate recursive API interactions, distributed retrieval loops, and large-scale machine-originated signaling, the unconditional processing of inbound requests leads to escalating computational costs, resource saturation, and degraded operational predictability. RL0 (Reality Layer 0) defines a deterministic admission control layer operating at infrastructure ingress prior to authentication, authorization, application logic, or resource allocation. RL0 establishes a minimal execution precondition: an incoming signal MUST present a valid Reality Token (RT) in order to be promoted to a computational event. Signals lacking admissibility proof are treated as structurally non-existent and are discarded prior to any allocation of system resources. This mechanism replaces reactive traffic filtering with pre-execution admission control, ensuring that only admissible signals enter the computational domain. By enforcing deterministic admission boundaries at infrastructure edge ingress points, RL0 reduces unnecessary resource consumption and restores operational predictability under agent-scale load. RL0 constitutes the operational deployment model derived from the Invariant Reality Prism (IRP) framework, published as a Final Informative Reference within the National Institute of Standards and Technology Cybersecurity Framework OLIR catalog. Within IRP, admissibility is defined through the Reality Sovereignty Metric (Rₛₒᵥ), which expresses structural invariance conditions required for computational legitimacy. RL0 translates this formal model into an implementable admission mechanism at infrastructure boundaries. In infrastructures increasingly dominated by autonomous agents, the primary challenge is no longer limited to determining which actions are permitted. The foundational problem becomes the deterministic control of which signals are allowed to become computational events. In an agent-scale internet, the critical resource is no longer bandwidth or compute capacity, but the controlled admission of computation itself. RL0 establishes this admission boundary, ensuring that only signals satisfying admissibility conditions may initiate execution.