Authorship Strategy: A Normative Framework and Tactical Catalog for AI-Era Authenticity Inversion, with Empirical Grounding from a Four-Repository Research Ecosystem

A normative framework, tactical catalog, and empirical baseline for authorship strategy under AI-mediated diffusion. The framework rests on a three-axis inversion (scarcity to diffusion, exclusivity to derivation, enclosure to openness) and a four-layer judgment stack (authenticity, attribution diffusion, idea-versus-scaffold separation, tactics). The tactical catalog formalizes twenty-one decisions extracted from operating a DOI-registered research ecosystem of four sibling repositories, spanning identifier federation (concept DOI as canonical reference, DOI federation via .zenodo.json, cross-platform dataset federation across GitHub, Zenodo, and Hugging Face Datasets, and an intrinsic content-derived SWHID layer), maintenance discipline (ORCID auto-update disabled, audience-driven README localization), LLM-first ingest and two-channel attribution diffusion, metric rejection and a two-channel probe protocol, vocabulary discipline and origin-claim falsifiability, audience-driven licensing and genre-split placement, failure-mode diagnostics, the structural-optimization-versus-content-authenticity boundary, onboarding to third-party AI-derived repository surfaces, and a two-tier implementation ledger with periodic gap-review. An empirical section reports preliminary observations from twenty-four days of CC0-published traffic data across the four sibling repositories, plus a probe baseline from the first run of the two-channel probe protocol, with explicit limitations on sample size and the absence of pre-versus-post intervention comparison. Sibling research lines (Agent Knowledge Cycle, Contemplative Agent, Agent Attribution Practice, Attention Not Self) are referenced but not extended. Written from a maker's and practitioner's stance: the academic apparatus used throughout (DOI, SWHID, citation graphs) is tooling for citability, durability, and traceability rather than an identity or destination, and the intended audience spans developers, practitioners, learners, and creative reusers across languages, with academic citation as one channel among several.