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The Unreliable Progress Bar: Can LLM Agents Reliably Report Task Progress Throughout Execution?
Recent large language models can emit task-progress signals that agent frameworks use to decide whether a task should continue or stop, yet whether a model can reliably report its task progress at every stage of a task, and where and how its reports fail, has not been studied systematically. We eval
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