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How to determine the credibility and reliability of a preprinted paper?
To determine the credibility and reliability of pre-printed papers, we need to evaluate them from the following aspects:

1. Author qualification: First, you need to check the author's background and qualification. If the authors are experts or have rich research experience, their research results are more likely to be reliable. In addition, we can understand the author's research level and professional ability by reading other works of the author.

2. Publishing institutions: preprints are usually published by academic journals, research institutions or individuals. We can check the reputation and influence of these institutions, and whether there is a strict audit process and quality control mechanism. Generally speaking, preprints published by well-known academic journals and research institutions are more reliable.

3. Peer review: preprints usually need peer review, which is an important link to ensure their quality and reliability. We can check the review records of preprints to see if the reviewers have professional knowledge in related fields and how they evaluate preprints.

4. Data and methods: We also need to evaluate the data and methods of preprint. If the data source of preprint is reliable and the research method is scientific and rigorous, then the results are more likely to be credible.

5. Citation and feedback: We can also refer to other researchers' quotations and feedback on preprints. If the preprint is widely quoted or received positive feedback from peers, its credibility and reliability will be higher.

6. Repeat the experiment: Finally, we can verify the results of the preprint by repeating the experiment. If others can reproduce the results of the preprint, then we can think that the preprint is credible.

Generally speaking, to determine the credibility and reliability of a pre-printed paper needs to comprehensively consider many factors, including author qualification, publishing organization, peer review, data and methods, citation and feedback, repeated experiments and so on.