Why audit citations after generation?
Because fluent AI text can still overstate evidence. Audit views help users identify claims that need closer inspection.
Citation integrity
Audit AI-generated review claims against the papers you selected
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.
Editable workflow
From research question to a review you can inspect
Each stage stays visible, so you can revise the scope or evidence choices before generating again.
- 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.
Best for
- Checking whether review claims have visible source support
- Finding passages that need human verification
- Reviewing citation coverage before export
Not a replacement for
- Guaranteeing that a claim is academically correct
- Measuring brand visibility in AI answer engines
Keep evidence decisions visible
LitSynth treats AI as support for a review process. You keep control of which papers enter the evidence set and which claims need another check.
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.
Questions researchers ask
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.
Continue your research workflow
Build the review, then revise any step
Search papers, screen the evidence, generate a cited draft, and return to earlier decisions whenever the scope needs to change.
Start your review