lit-novelty-check

To check if a research idea is novel, you perform a structured literature search across databases like arXiv to identify relevant prior work. This skill extracts core claims from your proposal and compares them against existing methods to evaluate their novelty.

Prior art assessment for grant proposals and product R&D is the process of distinguishing new contributions from existing work. It involves phase extraction, multi-source literature search, and cross-model verification to identify the closest prior work and compute the delta between your proposal and existing literature.

You find the closest prior work by conducting structured literature searches across journals and major databases to surface relevant prior work. The system extracts 3-5 core claims from your proposed method and generates a formal novelty report with prioritized closest papers.

Yes, you can use a structured literature search to avoid duplicative work in research planning. This process evaluates the novelty of a proposed method by performing multi-source novelty discovery across arXiv, journals, and major databases to surface relevant prior work.

The best way to generate a formal novelty report is through phase-based assessment that extracts core claims and computes the delta against existing literature. This produces a structured report with the proposed method, closest papers, and actionable recommendations for positioning.

Cross-model verification via a reviewer model improves the accuracy of a novelty check by validating the results of the multi-source literature search. It ensures the phase extraction and prior work identification are robust before generating the final novelty report.