Peter Smith
⬤ Researchers from Fudan University and WisPaper.AI just launched OpenNovelty—an AI tool that helps reviewers catch research that isn't actually new. The system walks through papers step-by-step, comparing what authors claim they've discovered against what's already been published.
⬤ Here's how it works: OpenNovelty first pulls out the main research questions and key contributions from a submitted paper. It then searches academic databases for similar work, filtering results through semantic matching, quality checks, and timeline analysis to build a solid comparison pool.
⬤ The real magic happens in the comparison phase. The system constructs detailed taxonomies, runs text similarity checks, and lines up the new paper's claims against existing research. Every judgment comes with actual citations—no guesswork or vague assumptions. The final report breaks down exactly where the research stands in terms of originality.
⬤ This matters because academic journals are drowning in submissions, and reviewers can't keep up. OpenNovelty shows how AI can handle the heavy lifting while keeping everything traceable and evidence-based. It's part of a bigger shift toward using structured AI systems in places where accuracy really counts.
Peter Smith
