Yea there were several attempts (including ar5iv), and distill.pub is no longer active + Semantic Scholar is PDF-based. None quite made the full use of HTML or have a robust conversion system. Jeff Dean's post is awesome - though using Gemini 3 is compute intensive and may still hallucinate in the end (I'm using a source-based latex to json parser). And the output is still...not very interactive.

Works with any latex source

https://www.sciencestack.ai/docs/faq

It works! After the initial data load (big paper), the scrolling and performance works nicely.

Can visit at sciencestack.ai/arxiv/2105.10386

Note: no support for nomenclature/index yet. I'm also working on refactoring the data/json to a streaming model (right now it's one big json dump on load)

Currently the dependency graph only works on newtheorems e.g. theorems/lemmas/definitions etc

https://www.sciencestack.ai/docs/dep-graph