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(Requesting papers would clearly be an incorrect use of academia.SE.) It is a question whether the annoying restriction to be registered before downloading something from academia.edu can be somehow bypassed. I have simply chosen a random paper as an illustration.
pdf downloader working with JSGlue, Jinja2; I have it working locally but need some code clean-up and documentation. NB: with automatic downloaders, beware of captcha and blocking/ban by academic database. SciPDFParser comes across as a good parser of downloaded articles PDF.
Bibliographic manager. The program helps you to download bibliographic meta-data together with the PDFs (if they are open). So, you may "save" all the needed papers to "My library" in GS (if you have several collections, you may assign a special "label" to each collection). Then, when you have all the papers in one list, just export them all to ...
1. Well, to put legality aside merging pdfs into single file is rather easy (I assume that you can download individual articles as pdfs). You need ghostscript program (avilable on any modern linux, and I guess also for windows) and then issue command: gs -dNOPAUSE -sDEVICE=pdfwrite -sOUTPUTFILE=combinedpdf.pdf -dBATCH 1.pdf 2.pdf 3.pdf.
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arXiv's metadata does not include any citation information. If you are interested in citations in arXiv documents, your best bet is probably to extract them from the PDF files using a dedicated tool (Cermine, pdfx or pdfextract for instance), or from the LaTeX sources, by inspecting the .aux files.
General remark: if you're an employee or student of a university, then before taking website Ts&Cs from a journal publisher as the final word on what you are, or are not, allowed to do, check whether your university library has a contract with the publisher that supersedes the website Ts&Cs and may be more (or less) permissive.
I want to find a way to bulk-download citation data on (ideally!) all the papers published in my particular academic discipline. I want to analyse this large corpus of data using AI text classifica...
A) That's why I write maybe. Maybe it's more, maybe it's less. Either way, not a lot. B) I don't depend on publishers, publishers depend on me.