Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.
Papers
(1 of 5)
Hypothesis Generation via Interpretable Machine Learning: A Case Study on Risk Factors for Postradiation Therapy Lung Cancer Recurrence
published2026 · Advances in Radiation Oncology
with Zheng Zhang, Sang Ho Lee, Rich Caruana, Yong Fan, Xingmei Wang, Nikhil Yegya-Raman, Charles B. Simone, G D Kao, Steven J. Feigenberg, Ying Xiao
Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.