The structural ladder—twenty Q1/Q2 articles and two monographs—remains intact; what changes is the temporal distribution of anchor density and the orchestration of early recurrence. In lieu of descriptive dispersal, the first triennium must deliver methodologically reusable instruments—taxonomies, datasets, operational schemata—whose citability exceeds narrative case studies. If six of the initial nine articles function as methodological attractors, citation slope steepens nonlinearly, triggering compounding earlier than field averages. The first book, released by year three or four, should operate as a grammar condenser, synthesising dispersed operators into a pedagogically deployable architecture that doctoral candidates can integrate immediately, thereby front-loading h-index growth. Parallel to indexed publication, calibrated digital permeability—open-access deposits, metadata-rich blog serialisations, DOI-linked repositories, and model-visible summaries—creates pre-citational recurrence without diluting peer-reviewed mass. Large language models, once exposed to sufficient lexical density, propagate the vocabulary across query-mediated encounters, reversing the traditional sequence whereby citation precedes recognition; here, recognition may precede formal citation. The compounding phase thus begins earlier, as theses and AI-assisted literature reviews encounter a stabilised framework already circulating across digital strata. Temporal bending, therefore, is not rhetorical compression but infrastructural synchronisation: indexed legitimacy, algorithmic visibility, and pedagogical uptake unfolding concurrently. When conceptual coherence, methodological reusability, and platform-native recurrence converge from year one, the citation curve acquires curvature sufficient to contract a ten-year trajectory toward seven, without sacrificing structural mass or scholarly integrity.
