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This paper proposes NTS-CoT, a novel framework that uses Chain-of-Thought reasoning to mitigate hallucinations in LLM-based news timeline summarization. It introduces three modules—Element-CoT, Date Selection, and Causal-CoT—to improve faithfulness and reduce omissions, outperforming state-of-the-art baselines on three benchmarks.