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To batch fetch academic references and download PDFs automatically, you can use this Skill to retrieve metadata via the Semantic Scholar API for arXiv IDs and DOIs, while simultaneously downloading preprint and paywalled PDFs with fallback options.

You can get metadata for arXiv IDs and DOIs by providing them as input; the Skill queries the Semantic Scholar API to automatically extract and compile the required bibliographic information into your local literature collection.

The best way to download paywalled papers via DOI using this Skill is by utilizing its automated fallback options, which attempt to fetch the full text PDFs directly through DOI links when standard preprint access fails.

Yes, you need the Python packages pymupdf4llm and requests installed in your environment to fetch literature metadata, as these dependencies handle API communication and PDF text extraction for the Skill's automated download processes.

Yes, you can use this Skill for literature review compilation with arXiv preprints, as it specifically automates the retrieval of metadata and downloads preprint PDFs to streamline your research workflow and maintain a current library.

A limitation when retrieving metadata using Semantic Scholar is that the automated process depends entirely on the API's coverage for the provided arXiv IDs and DOIs, meaning it may fail to fetch data for highly obscure or unindexed literature.