novelty-check

To check research novelty, the Skill extracts core claims from your idea and performs multi-source searches across arXiv, Google Scholar, Semantic Scholar, and conference databases. It then returns a structured novelty report detailing novelty levels, closest prior work, and positioning.

Finding prior work involves a systematic literature search focusing on 2024-2026 works. This Skill applies multi-source searches across academic databases to identify closest prior work and provides a structured novelty assessment to guide your research direction and prevent duplication.

Yes, you can verify originality by running systematic searches across arXiv and Semantic Scholar. The Skill cross-references your extracted core claims against recent literature in these databases to identify overlapping prior work and evaluate your idea's novelty level.

Yes, the novelty assessment process uses a phase-based evaluation that includes cross-model review. It systematically extracts core claims, searches multiple literature sources, and outputs a structured novelty report with novelty levels and positioning.

A limitation when searching conference databases for 2024-2026 literature is the reliance on available indexing within arXiv, Google Scholar, and Semantic Scholar. The novelty check prevents duplication but is constrained by the search depth and coverage of these external databases.