When Time Becomes Sparse: Evaluating Temporal Reasoning Robustness in Large Language Models via Anchoring Density Control
Temporal reasoning is fundamental to information processing systems that organize and interpret event-centric knowledge. Existing evaluations, however, typically assess large language models (LLMs) in contexts densely grounded by explicit timestamps, where strong temporal anchors simplify chronological inference. We in...