Just sharing my experience: I went through this exact nightmare during my dissertation and honestly, I almost tanked my methodology section cuz a basic bot hallucinated a p-value that didnt exist. It was a huge wake-up call about AI safety. Over the years, I've learned that you really cant risk your degree on a guess. In my experience, Claude 3.5 Sonnet is a total game changer for those massive 50-page PDFs cuz its context window is actually big enough to keep track of everything without losing context. I also started relying on Elicit Plus for my lit reviews because it focuses specifically on the methodology and findings without making stuff up. For the dense data tables you mentioned, Scholarcy worked wonders by converting them into readable summaries. Lesson learned: never trust a summary without a direct page reference. Safety-first is the only way to go when you're writing a thesis lol. TL;DR: I found that Claude 3.5 Sonnet and Elicit Plus handle long academic papers way more reliably than basic tools.

ok so i feel u... over the years I've seen how standard bots basically choke on 50-page PDFs cuz their context window is too small. Understanding methodology is EVERYTHING for a solid thesis and u cant risk hallucinations when citations matter.

• Just get anything from Elicit, they specialize in research.
• Or try the tools from Scite. Honestly, go with a brand that focuses on researchers specifically and youll be golden. gl!

> I am really looking for something that can handle large PDF uploads and specifically extract the core findings, limitations, and theoretical frameworks without losing the context of the citations. Stumbled on this while taking a break from my own research. I spent way too much money on different tools last year before I found a workflow that didnt break the bank. Honestly, the most solid thing i have used recently is Google NotebookLM. It is free, which is a huge plus when you are on a student budget, and it lets you upload up to 50 sources at once. What I love about it is that it stays strictly within the context of your uploaded files, so the hallucinations are way lower compared to just using a generic bot. It basically builds a private knowledge base for your thesis. Another one to look at if you want to keep things organized is Zotero. If you pair it with the Zotero GPT plugin, you can chat with your library directly. It takes a little bit of tinkering to set up, but once it is running, it is way more powerful for tracking citations than any standalone web app. Definitely saved me a few late night meltdowns when I couldn't remember which paper mentioned a specific limitation... basically a lifesaver.

Can confirm this works. Did the same thing on mine and its been solid ever since.

Regarding what #4 said about "Can confirm this works. Did the same thing on mine", finding a workflow that actually scales is basically the only way to survive a thesis without burning out. Over the years I've tested almost every academic AI out there, and if you want to skip the copy-paste nightmare and get actual data from methodology sections, these are the two best options imo:

• SciSpace Premium Academic Plan is honestly a lifesaver for long PDFs. It has a specific workspace where you can upload your whole backlog and it creates a comparison table. You can tell it to pull out the methodology, results, and limitations for all 40 papers at once. It costs around 12 bucks a month but the extraction accuracy is way higher than standard bots.
• Consensus Search Engine Premium is another solid choice, especially if you need to verify specific claims across your papers. It lets you upload your own documents and synthesizes findings without the usual hallucinations you get with general LLMs. It links every point back to the specific citation in your PDF. Both of these are built for researchers specifically, so they dont choke on jargon or complex data tables like the stuff you are dealing with right now.

Noted!