collecting-evidence

Structured YAML evidence records are generated by loading your pillar scope, identifying sources, and collecting raw evidence to compose objects with required fields like id, source, claim, confidence, and assumptions. This process ensures your research notes remain consistent and audit-ready.

An Evidence Object is a structured YAML record that documents research findings with a semantic ID, confidence score, and explicit assumptions. It enforces a strict schema to validate evidence quality, making your pillar-focused research fully traceable and audit-ready.

Yes, explicit assumptions are a required field when generating evidence records. The schema enforces the inclusion of assumptions alongside confidence scores and falsifiable claims to ensure your pillar research data is transparent and validated.

Yes, you can attach optional notes and metadata to your evidence objects. While the core schema requires fields like id, pillar, source, claim, confidence, and assumptions, the structure supports optional metadata for additional pillar research context.

The best way to standardize falsifiable claims is to use a structured Evidence Object schema that enforces consistent fields for source references, confidence scores, and assumptions. This provides end-to-end workflow support from source identification to record generation.