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  "author": "Yixiao Wang",
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  "author": "Yixiao Wang",
            
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      "extra_author": "Yifei Zhang",
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    },
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      "extra_author": "Mingxiao Huo",
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      "extra_author": "Mingxiao Huo",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Ran Tian",
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Xiang Zhang",
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      "extra_author": "Xiang Zhang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Yichen Xie",
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      "extra_author": "Yichen Xie",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Chenfeng Xu",
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      "extra_author": "Chenfeng Xu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Pengliang Ji",
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      "extra_author": "Pengliang Ji",
            
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      "orcid": ""
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      "orcid": ""
            
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      "extra_author": "Wei Zhan",
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    },
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    {
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      "extra_author": "Mingyu Ding",
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      "extra_author": "Mingyu Ding",
            
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      "orcid": ""
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  "notes": "The Sparse Diffusion Policy (SDP) framework, which 
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  "notes": "The Sparse Diffusion Policy (SDP) framework, which 
            
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integrates Mixture of Experts (MoE) layers into the diffusion 
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integrates Mixture of Experts (MoE) layers into the diffusion 
            
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  "title": "Sparse Diffusion Policy: A Sparse, Reusable, and Flexible 
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  "title": "Sparse Diffusion Policy: A Sparse, Reusable, and Flexible 
            
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Policy for Robot Learning",
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Policy for Robot Learning",
            
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