The Case for Technosignatures: Why They May Be Abundant, Long-lived, Highly Detectable, and Unambiguous. - Jason T. Wright; Jacob D. Haqq-Misra; Adam Frank; Ravi Kopparapu; Manasvi Lingam; Sofia Z. Sheikh (CoRR, 2022)

A deep-learning search for technosignatures of 820 nearby stars. - Peter Xiangyuan Ma; Cherry Ng; Leandro Rizk; Steve Croft; Andrew P. V. Siemion; Bryan Brzycki; Daniel Czech; Jamie Drew; Vishal Gajjar; John Hoang; Howard Isaacson; Matt Lebofsky; et al. (CoRR, 2023)