In classification problems there’s a useful term for something similar already — False Positives…

   false positive (FP), Type I error
   A test result which wrongly indicates that a particular condition or attribute is present

https://en.m.wikipedia.org/wiki/Confusion_matrix

Edit — Though I’m not sure how well that fits for a LLM (it’s more a series of false positives at each step of prediction in the sequence).