novelty-check

To check if your research method is novel, this Skill extracts core claims from your description and verifies them across arXiv, Google Scholar, Semantic Scholar, and major conferences. It produces a structured novelty report with scoring, closest prior work, and positioning recommendations.

The claim extraction process identifies core technical contributions from your proposed method description. These extracted claims are then systematically searched against recent 2024-2026 publications across multiple academic databases to identify closely related prior work.

Yes, you can assess novelty using arXiv, Google Scholar, and Semantic Scholar. The Skill performs multi-source verification specifically targeting recent papers from 2024-2026, including major conferences like ICLR, NeurIPS, and ICML, to ensure comprehensive literature coverage.

The best way to find closest prior work is applying extracted claims to a multi-source literature search. The Skill generates a structured novelty report that explicitly identifies the closest prior work alongside a scoring rubric and recommended positioning for your proposed method.

The novelty scoring rubric quantifies the uniqueness of your proposed method after comparing extracted claims against verified literature. It functions as part of the final structured novelty report, providing a systematic assessment alongside identified closest prior work and positioning recommendations.

The positioning recommendations in the novelty report suggest how to frame your proposed method relative to discovered prior work. This helps differentiate your research by highlighting unique aspects identified during the multi-source claim verification against recent 2024-2026 publications.