What question did this study set out to answer?

The aim is to propose a new publishing architecture, Signal-Native Papers, that incorporates both human and machine-readable formats.

March 3, 2026Open Access

Signal-Native Papers: A Bilateral Document Architecture for AI-Era Publishing (v1.0)

Key Points

The aim is to propose a new publishing architecture, Signal-Native Papers, that incorporates both human and machine-readable formats.
Developed a bilateral document architecture with two co-equal expressions.
Analyzed seven predecessor approaches to machine-readable publishing.
Organized the architecture into thirteen elements within three tiers.
Successful implementation of a Tier 1 proof of concept.
Establishment of structured formats for diverse entities and retrieval boundaries.

Abstract

Introduces Signal-Native Papers (SNP), a bilateral document architecture in which every published work carries two co-equal expressions: the human-readable text and a machine-readable expression that describes the work's scope, entities, and retrieval boundaries in structured form. The architecture comprises thirteen elements organised in three tiers, derived from systematic analysis of seven predecessor approaches to machine-readable publishing. A Tier 1 proof of concept has been implemented. The full specification is maintained by AI Visibility Architecture Group Limited

Signal-Native Papers: A Bilateral Document Architecture for AI-Era Publishing (v1.0)

Key Points

Abstract

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