Bayyinah al-Khabir: A Theoretical Framework for Information-Layer Integrity Scanning Across National Broadcast Sources Using Performed-Alignment Diagnostics

This paper proposes Bayyinah al-Khabir, a theoretical extension of the Bayyinah file integrity scanner (companion DOI: 10.5281/zenodo.19677111) to the information layer. Where Bayyinah detects performed alignment in documents (surface presentation diverging from depth content), al-Khabir detects performed alignment in information sources (a source's reporting on a specific event diverging from the cross-source evidence base across multiple national contexts). The framework applies the Munafiq Protocol's four-process taxonomy (Aligned, Compliant, Performing, Misaligned) to information sources and the Context-Invariance Test to cross-national broadcast comparison. Six divergence dimensions are defined (factual, omission, framing, attribution, temporal, contextual). The architectural verse is Al-Hujurat 49:6: verify information before acting on it. The scanner's design constraint is structural honesty: it reports divergence between sources, not verdicts about which source is correct. Five design requirements enforce geographic balance, symmetric scrutiny, provenance at every layer, and temporal honesty. A reflexivity analysis addresses the risk that the scanner itself becomes a performed system. Five falsification criteria are presented. The paper is theoretical; no implementation exists. Design constraints are established before implementation, not after. Part of a research program including the Munafiq Protocol (AI agent alignment diagnostics), Bayyinah (file integrity scanning), Structured Revelation as Prompt Architecture (Quranic prompt engineering methodology), the Fatiha Construct (recursive session protocol), and Computational Tawhid (ontological foundation).