paper-claim-audit

You can verify research paper claims against raw data files by running an automated audit that extracts every quantitative claim and traces it directly to your source result files to check for number inflation or scope overclaim.

Zero-context evidence verification is an academic review process that uses a fresh reviewer with no prior context to match paper claims against raw result files, preventing confirmation bias during the audit.

You audit your paper for number inflation and scope overclaim by applying an audit protocol that extracts every quantitative claim and traces each one to the raw evidence files to identify specific failure modes.

Yes, you need paper source files and raw result files to check data accuracy, because the audit protocol requires direct access to compare every number and comparison claim against the original raw evidence.

You should use an automated paper audit instead of manual peer review when you need to systematically prevent confirmation bias by matching every quantitative claim against raw result files without prior context.

Yes, you can check a research paper submission for evidence verification without prior context by running a zero-context audit that compares extracted claims directly against the provided raw result files.