literature-note-formatter

Literature note formatting converts scattered reading annotations into structured, falsification-ready knowledge nodes by enforcing required frontmatter, generating quantifiable claims, and validating reference integrity for AI reasoning.

Creating a falsifiable claim registry involves extracting core claims from paper abstracts or notes, then generating at least three quantifiable falsification conditions and a numeric failure regime boundary prediction.

Generating literature notes from bibliographic identifiers like DOIs and authors creates full knowledge nodes while strictly forbidding fabricated citations and auto-filling user-controlled fields to ensure research hygiene.

A numeric failure regime in research governance defines quantitative boundary predictions for when a falsifiable claim fails, needed when structuring literature notes for traceable methodology transferability and rigorous validation.

Validating citation integrity checks reference completeness to prevent fabricated citations and flags dangling ID links in related_to, derived_from, and solves fields during literature note formatting.

Formatting existing literature notes validates frontmatter, checks module completeness, and fills missing sections while strictly preserving user-provided claim content and updating note timestamps.