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
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…
Citation impact
- FWCI
- 514.85
- Percentile
- 100%
- References
- 0
Authors
2Topics & keywords
- Vocabulary
- Signature (topology)
- Argument (complex analysis)
- Sentence
- Semantics (computer science)
- Implementation
- Conceptual framework
- Divergence (linguistics)
- Peace, Justice and strong institutions