AI citation audit for review drafts
The hard part of AI-assisted writing is trust. LitSynth keeps generated review sections close to the selected evidence so users can inspect support before export.
Current product strategy is login-first; public pages show the workflow and examples before opening the workspace.
Search intent
AI citation audit
Researchers and teams who need citation traceability before sharing AI-assisted review drafts.
audit views focus attention before export
drafts are grounded in user-approved sources
designed for human verification, not blind publishing
What it does
Move beyond generated prose by checking whether review claims have visible paper support.
Inspect which parts of a draft have strong source support.
Flag weaker claims that need human review.
Keep selected papers visible during synthesis review.
Export only after citation coverage has been checked.
Workflow
From question to auditable draft
- 1
Generate a review from selected papers.
- 2
Open citation and claim coverage checks.
- 3
Review weakly supported sections manually.
- 4
Revise, save, or export the final draft.
Boundaries
Clear claims matter for research tools
- Citation audit reduces risk but cannot guarantee scholarly correctness.
- Users must verify important claims in the original papers.
- AI-assisted drafts should be edited for discipline-specific standards.
FAQ
Why audit citations after generation?
Because fluent AI text can still overstate evidence. Audit views help users identify claims that need closer inspection.
Does LitSynth guarantee every claim is correct?
No. It helps expose evidence coverage so humans can review and revise the draft before use.
Is citation audit available for systematic reviews?
Systematic Review Beta includes stronger audit framing around evidence tables and PRISMA-lite methods notes.
Build your own review from selected papers
Search, screen, synthesize, and audit in the logged-in LitSynth workspace.