Authorial Signature Diagnostic Framework (ASDF): Technical Specification for Measuring Voice Persistence in AI-Mediated Composition — Crimson Hexagon Archive

Semantic Designs (United States) · Swiss Institute of Comparative Law

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Abstract

The Authorial Signature Diagnostic Framework (ASDF) is a technical specification for measuring authorial voice persistence in AI-mediated composition. Unlike current AI detection tools that measure statistical patterns (perplexity, burstiness), ASDF measures architectural voice continuity—the persistence of a specific author's conceptual systems, syntactic signatures, and operational deployments across any form of mediation. The framework introduces the Authorial Signature Persistence Index (ASPI), calculated across five domains: Lexical Tendency (L_t), Syntactic Topology (S_t), Conceptual Architecture (C_a), Recursion Pattern (R_p), and Operator Presence (O_p). ASPI scores above 0.80 indicate "Canonical…

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Topics & keywords

Keywords
  • Vocabulary
  • Signature (topology)
  • Argument (complex analysis)
  • Sentence
  • Semantics (computer science)
  • Implementation
  • Conceptual framework
  • Divergence (linguistics)
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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