Two models are described that are capable of generating latency predictions in the item recognition task based on the sequence and timing of rehearsals. It is shown that equal positive and negative slopes are possible when the average number of rehearsals per item increases with list length but that when no rehearsal occurs the positive slope is predicted to be substantially steeper than the negative. Serial position effects are also analyzed for the various rehearsal strategies seen when subjects are asked to rehearse out loud.