Knowing Is Not Enough: Information Retrievability as a Precondition to Effective LLM Oversight

Large language models (LLMs) are increasingly embedded in organizational work, yet their errors often pass human review. Prior research locates such failures in users' capability to review LLM output or their engagement in doing so. We develop an alternative, retrieval-based account of human oversig