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Google scholar citations lets you track citations to your publications over time. CSL 是什么 ¶ 如果你写过论文的话,你可能在其中引用了别人的论文。参考文献在学术交流中很重要,因为它可以提供引用的来源,并且可以把已经发表的研究联系到一起。但是,手动设置引用格式和参考文献目录非常耗时,而且不同的期刊有自己的引用格式。 参考文献管理软件可以解决上面的问题. Google scholar provides a simple way to broadly search for scholarly literature

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Search across a wide variety of disciplines and sources ### contextualize question ### this is used to forumlate the right question to the retriever contextualize_q_system_prompt = given a chat history and the latest user. Articles, theses, books, abstracts and court opinions.

Home user guides figshare metadata schema overview figshare metadata is based on the datacite schema

It is stored in a relational database and can be mapped to other metadata schemas The citation metadata is also available from the public item page formatted as dublin core. I have an app service deployment for data that i imported into azure cognitive search and integrated with azure openai I notice in the app service (see image) that the document citations (references) are returned with the response to my prompt what is a smart contract

How can i retrieve these references for my documents that i indexed into cognitive search? Moreover, it allows batch updating the citations, as they may change over time. Generate bibtex citations in seconds Start citing books, websites, journals, and more with the citation machine® bibtex citation generator.

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Serpapi i recently had the idea to build a simple automated script to scrape my own google scholar profile and identify whether or not my total citation count had changed and then proceed to.

Begin # if the citation count has already been fetched, return it if googlescholarcitationstag::citations [article_id] return googlescholarcitationstag::citations [article_id] end # sleep for a random amount of time to avoid being blocked sleep (rand (1.5.3.5)) # fetch the article page I'm trying to build a rag with langchain I'd like to consider the chat history and to be able to produce citations I've followed the tutorial on langchain but i struggle to put together history and citations

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