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This paper introduces DiffLNS, a hybrid framework integrating a discrete denoising diffusion probabilistic model (D3PM) with LNS2 for multi-agent path finding, using sparse social attention to generate warm-start plans. It achieves high success rates on complex and congested settings, outperforming baselines.