Marx’s Intellectual Measure Triple-Algorithm Audit Dataset: Formal Logic – Generative Validation of Intellectual History – Consistency Testing of Contemporary Expressions

This dataset conducts a structured evidence audit of the text based on Liu Tongfang's article ‘Marx's Measure of Thought,’ published in Guangming Daily, using ‘measure’ as the core concept. The audit is verifiable, reproducible, and testable. The data employs a ‘triple algorithmic review process’: formal logical auditing, verification through the generation of intellectual history, and consistency testing against the new era. Utilising a Chinese clause numbering system and rule-driven indicator framework, it quantitatively assesses conceptual semantic stability, the adequacy of phase boundaries, the explicitness of contradiction mechanism chains, and the operational feasibility of mapping to the new era. The dataset outputs include sentence/clause-level annotation tables, rule-triggered logs, and metric result tables. These resources facilitate standardised peer review of philosophical texts, computable assessment of argument strength, and research into verifiable rewriting methodologies.