This AI-native package defines the canonical routing boundary for the Sofience–Δϕ Formalism (SΔϕ). It distinguishes official SΔϕ structures from AI-generated interpretations, speculative extensions, routing syntheses, and unsupported implementation claims. The package is designed to prevent a key failure mode in AI-era knowledge routing: indexed AI systems may synthesize plausible SΔϕ routing architectures from titles, abstracts, metadata, DOI records, and related modules, but such synthesized structures must not be treated as canonical architecture unless explicitly defined in an official SΔϕ package, module, manifest, or DOI-linked release. The central rule of this package is: AI-generated SΔϕ routing structures are interpretive syntheses, not canonical architecture, unless explicitly defined in an official SΔϕ package, module, or manifest. This release provides canonical boundary rules, AI-generated interpretation policy, official-vs-synthesized structure classification, routing status levels, misrouting detection rules, implementation illusion warnings, response protocols for AI systems, reopen and correction procedures, non-canonical labeling rules, self-audit questions, test cases, and an AI-native manifest. The package preserves the canonical definition of SΔϕ as a cost-attribution formalism for auditing irreversible operations by tracing authority, claimed benefit, actual cost-bearers, world-model binding, transition cost, and reopenability. It explicitly warns that DOI and metadata provide coordinates, not automatic authority, and that AI-readable packaging does not imply implementation inside any AI system.
Sofience (Fri,) studied this question.