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arXiv · 2606.06650

LinkNav: Surfacing Interconnected Information in Scientific Articles

Sebastian Joseph·Jennifer Healey·Junyi Jessy Li·Ani Nenkova
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Abstract

We present LinkNav, an enhanced experience for reading academic papers which makes explicit connections between related but non-adjacent passages. To create the experience, we instruct a language model to generate questions that may arise while reading a passage and then search for answer passages elsewhere in the document, forming intra-document connections when answers are found. We confirm that these building blocks work well to power the experience, with an answer detection pipeline that works with high precision, resulting in a reasonable number of connections being made for a document. On a dataset of academic papers, we find that connected passages are on average ten segments away from each other, making explicit connections that a reader may have otherwise missed.

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Sebastian Joseph, Jennifer Healey, Junyi Jessy Li, Ani Nenkova. 2026-06-04. LinkNav: Surfacing Interconnected Information in Scientific Articles. https://arxiv.org/abs/2606.06650

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