Project Research
RAG grounding & fintech adoption — Can retrieval-grounded drafting reduce unsupported claims in empirical manuscripts?
Research base — logic assessment
Retrieval-grounded drafting is conceptually well supported by RAG and hallucination-mitigation literature, but the specific application to empirical manuscript Results is still thin in this base. Treat the skeleton as a literature map for pressure-testing — not as citeable findings.
Retrieval augmentation improves factual precision in generation (strong)
RAG surveys and hallucination reviews in the attached set converge on mitigation via retrieved context.
Sources agree on direction; they disagree on how far metrics transfer to long-form drafting.
Claim-level evaluation is feasible for long-form text (strong)
FActScore / FEVER-style work shows atomic claims can be checked against evidence.
Strong methodological precedent; limited direct tests on empirical Results sections.
Empirical manuscript drafting has unique trust and reproducibility concerns (thin)
Few attached abstracts speak directly to Results-section grounding in empirical papers.
Fintech adoption papers in the pool are illustration-only — do not treat as RAG evidence.
Verify-first UI (passage before prose) is the defensible product angle (developing)
Implied by mitigation literature; not yet a multi-paper empirical consensus on drafting tools.
Compare whether sources justify elimination language (they do not) vs audit loops (they do).
Crown artifacts
Defensible angle: Verify-first RAG drafting for empirical manuscripts
Literature sufficiency: Proceed after pruning 2 weakly related papers
Research gap: Empirical-to-manuscript trace in one project workspace
Project brief: Methods contribution with fintech empirical illustration
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