cjlooi

5 ms·

1. 1.▲
   Show HN: LaTeX → structured ArXiv data for scientific RAG(sciencestack.ai)

   2 points by cjlooi 8mo ago|1 comments
2. 2.▲
   by cjlooi 8mo ago

   PDF-based pipelines are fundamentally lossy and compute-heavy—whether they rely on OCR, GROBID, or LLM-based parsing. They're simply not good enough for accurate, scientific agents at scale. To fix this, I'm launching ScienceStack
3. 3.▲
   by cjlooi 10mo ago

   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 t
4. 4.▲
   by cjlooi 10mo ago

   Currently the dependency graph only works on newtheorems e.g. theorems/lemmas/definitions etc https://www.sciencestack.ai/docs/dep-graph
5. 5.▲
   by cjlooi 10mo ago

   Works with any latex source https://www.sciencestack.ai/docs/faq
6. 6.▲
   by cjlooi 10mo ago

   Yea there were several attempts (including ar5iv), and distill.pub is no longer active + Semantic Scholar is PDF-based.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 usin
7. 7.▲
   Show HN: Interactive research papers (a big step up from ArXiv HTML)(sciencestack.ai)

   9 points by cjlooi 10mo ago|8 comments