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This work examines reference integrity at key computing education venues using ACM Digital Library data, and manually identifies LLM-generated hallucinations containing verifiably false information, including impossible page ranges, invented titles, and misattributed authors.
Students using text prompts outperformed their peers using voice input, highlighting the need for careful consideration of input modalities in programming education.
