The rise of "phantom" or entirely fabricated academic citations in student research papers forces a shift from detecting plagiarism to verifying existence. What specific scaffolding strategies can instructional designers embed into early research modules to train students as critical algorithm skeptics who validate source provenance rather than treating AI outputs as authoritative text?
