Paper duplication checking refers to comparing the contents of papers through computer software system, detecting and identifying the similarities between texts, thus evaluating the originality and academic integrity of papers. The mechanism of duplicate checking in this paper refers to the rules and processes of duplicate checking system, including the design of algorithm, the determination of detection range and the criteria for judging the results.

There are two different views on the rationality of the paper duplicate checking mechanism. On the one hand, it is considered that the current duplicate checking mechanism is reasonable in most cases. This is because the duplicate checking system can effectively detect the similarity between texts and improve the academic level and quality of graduate papers. The duplicate checking mechanism can help teachers and students find problems and deficiencies in papers and promote academic integrity and standardization. In addition, the duplicate checking mechanism can also reduce academic fraud and plagiarism, and maintain the reputation and impartiality of the academic community.

On the other hand, some people think that there are some problems and shortcomings in the current duplicate checking mechanism. First of all, the algorithms of some duplicate checking systems are not accurate and comprehensive enough, and there may be misjudgments and omissions. This will affect the accuracy and credibility of duplicate checking results. Secondly, some duplicate checking systems have limited detection range, and can only compare existing documents, and cannot detect unpublished documents or resources on the network. This may lead to inaccurate duplicate checking results of some papers. In addition, when judging the results of duplicate checking, it is necessary to balance the definition of similarity and the rationality of judgment criteria to avoid unnecessary restrictions on students' innovative thinking and academic exploration.