Explainpaper as part of a 2026 researcher toolkit sits alongside tools that do different parts of the same job

Explainpaper belongs specifically in the reading phase when you are stuck on a section rather than in the discovery phase where you are finding papers or the synthesis phase where you are comparing them. You upload the paper, highlight the confusing section, and get an explanation calibrated to the complexity level you select. It does that one thing and does it well.

The ability to go back and forth with follow-up questions about the explanation, within the context of the original highlighted section, is the conversational layer that makes it feel like talking to a knowledgeable colleague rather than looking up a definition. The colleague knows what you were originally trying to understand and the follow-up stays in that context.

The practical use case for researchers reading outside their domain is the strongest because the tool handles the specific friction of encountering unfamiliar jargon in an otherwise accessible paper rather than being overwhelmed by everything.

How often do you encounter papers where Explainpaper would be useful and is the tool accessible enough in your workflow to reach for it when you do?