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TCAR-Gen proposes a framework combining query-conditioned graph neural networks, temporal evidence fusion, and chain-of-trees reasoning for temporal graph retrieval in knowledge-grounded generation. It achieves improved recall on the Victorian Crime Diaries benchmark across multiple query types.