9 citations · 27 across the 14 of their papers we have counts for
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cs.HC2025★ 3 cited
Large-scale Evaluation of Notebook Checkpointing with AI Agents
Hanxi Fang, Supawit Chockchowwat, Hari Sundaram +1
Saving, or checkpointing, intermediate results during interactive data exploration can potentially boost user productivity. However, existing studies on this topic are limited, as…
cs.HC2025★ 6 cited
Enhancing Computational Notebooks with Code+Data Space Versioning
Hanxi Fang, Supawit Chockchowwat, Hari Sundaram +1
There is a gap between how people explore data and how Jupyter-like computational notebooks are designed. People explore data nonlinearly, using execution undos, branching, and/or…