The Grand Loop: A Canonical Lifecycle for Reality Access and Traversal

This preprint presents the Grand Loop Canonical State Machine (GLCSM), a Reality Access, Traversal and Initiation Science (RATIS) lifecycle and governance profile for representing a reality-access and traversal episode as a versioned, multidimensional state-transition system. The model integrates initiation, admission, entry, access, reconstruction and representation, traversal, readiness, decision authorization, action, consequence return, recovery, authority, safety, closure, reopening, and termination. It specifies typed events, conjunctive guards, authorized and prohibited transitions, timers, compensation, audit records, and obligation-preserving exceptional paths. The paper’s strongest surviving lifecycle rule is deliberately scoped: for a consequence-bearing episode with a declared Return Obligation, Episode Closure requires the required Reality Return to be evaluated as sufficient, explicitly bounded as a Residual Obligation, or legitimately transferred. Action completion does not by itself establish Actual Consequence; abort and termination do not erase realized consequences or surviving obligations; and closure remains purpose-, evidence-, and consequence-horizon-dependent. The accompanying R4 reproducibility package provides bounded EC-X executable evidence for one minimal internal GLCSM implementation. The retained deterministic execution passed 287 of 287 assertions. Across 90 matched synthetic invalid-transition fixtures, the implementation accepted no unsafe bypasses and localized every declared fault target, whereas a deliberately sequence-only comparator accepted every bypass and localized none. These results support only the tested implementation and matched synthetic fixture family. They do not establish external validity, superiority over mature workflow or state-machine engines, operational safety, field effectiveness, universal minimality, legal sufficiency, or independent reproduction. The recorded reproducibility status is REP-2 internal repeatability. This publication is an evidence-bounded research architecture and technical report. It does not constitute authorization for intervention, operational deployment, or safety-critical use.