Researchers & journals
Reference, methodology, and dataset verification that protects research integrity from retraction risk.
Generative AI produces confident-sounding but false references, misattributed findings, and fabricated experimental details. For researchers and journals, this threatens retractions, reputation loss, and integrity investigations.
We cross-check references, methodology claims, and data sources against published literature and original datasets. Our review ensures citations exist, support the claims made, and are accurately represented.