Core Insights - Springer Nature has launched a new tool to detect non-standard phrases in journal and book submissions, aimed at maintaining research integrity and safeguarding academic records [1][2] - The tool identifies awkward or overly complex phrases that may indicate the use of paraphrasing tools to evade plagiarism detection, leading to the rejection of submissions with excessive non-standard phrases [1] - The development of this tool is part of a long-term project involving collaboration between Springer Nature's research integrity team and various technical teams, utilizing insights from academic integrity detectives [1] Tool Features - The non-standard phrase detector is the latest addition to Springer Nature's research integrity solutions, complementing existing tools such as meaningless text detectors and tools for identifying image duplication or tampering [2] - The tool is based on the "Problem Paper Screening" (PPS) system, which initially focused on computer science papers but has since expanded to screen all published literature [2] - Springer Nature has contributed to the STM Integrity Hub, providing a meaningless text detection tool for broader industry use, reinforcing its commitment to publishing integrity [2]