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\citation{10.1145/3544216.3544251}
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\citation{Lin_2020}
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\citation{7469060,10.1145/3055366.3055375}
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\citation{NEURIPS2020_4c5bcfec}
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\citation{ho2020denoising}
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\citation{song2021score}
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\citation{rasul2021autoregressivedenoisingdiffusionmodels}
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\citation{tashiro2021csdiconditionalscorebaseddiffusion}
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\bibcite{dai2019transformerxlattentivelanguagemodels}{5}
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\bibcite{godefroid2017learnfuzzmachinelearninginput}{6}
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\bibcite{hang2023efficient}{7}
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\bibcite{NEURIPS2020_4c5bcfec}{8}
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\bibcite{ho2020denoising}{9}
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\bibcite{hoogeboom2021argmaxflowsmultinomialdiffusion}{10}
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\bibcite{jiang2023netdiffusionnetworkdataaugmentation}{11}
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\bibcite{10.1007/s10844-022-00753-1}{12}
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\bibcite{kollovieh2023tsdiff}{13}
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\bibcite{kong2021diffwaveversatilediffusionmodel}{14}
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\bibcite{pmlr-v202-kotelnikov23a}{15}
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\bibcite{li2022diffusionlmimprovescontrollabletext}{16}
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\bibcite{lin1991divergence}{17}
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\bibcite{Lin_2020}{18}
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\bibcite{liu2023pristiconditionaldiffusionframework}{19}
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\bibcite{11087622}{20}
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\bibcite{7469060}{21}
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\bibcite{meng2025aflnetyearslatercoverageguided}{22}
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\bibcite{Nankya2023-gp}{23}
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\bibcite{nist2023sp80082}{24}
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\bibcite{nie2023patchtst}{25}
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\bibcite{rasul2021autoregressivedenoisingdiffusionmodels}{26}
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\bibcite{Ring_2019}{27}
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\bibcite{sha2026ddpm}{28}
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\bibcite{she2019neuzzefficientfuzzingneural}{29}
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\bibcite{shi2024simplified}{30}
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\bibcite{shi2025tabdiff}{31}
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\bibcite{shin}{32}
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\bibcite{sikder2023transfusion}{33}
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\bibcite{song2021score}{34}
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\bibcite{stenger2024survey}{35}
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\bibcite{tashiro2021csdiconditionalscorebaseddiffusion}{36}
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\bibcite{vaswani2017attention}{37}
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\bibcite{10.1145/1151659.1159928}{38}
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\bibcite{wen2024diffstgprobabilisticspatiotemporalgraph}{39}
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\bibcite{wu2022autoformerdecompositiontransformersautocorrelation}{40}
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\bibcite{yang2001interlock}{41}
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\bibcite{10.1145/3544216.3544251}{42}
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\bibcite{yoon2019timegan}{43}
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\bibcite{yuan2025ctu}{44}
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\bibcite{zhou2021informerefficienttransformerlong}{45}
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\bibcite{zhou2022fedformerfrequencyenhanceddecomposed}{46}
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\gdef \@abspage@last{21}
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\bibcite{ho2020denoising}{8}
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\bibcite{hoogeboom2021argmaxflowsmultinomialdiffusion}{9}
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\bibcite{jiang2023netdiffusionnetworkdataaugmentation}{10}
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\bibcite{10.1007/s10844-022-00753-1}{11}
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\bibcite{kollovieh2023tsdiff}{12}
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\bibcite{kong2021diffwaveversatilediffusionmodel}{13}
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\bibcite{pmlr-v202-kotelnikov23a}{14}
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\bibcite{li2022diffusionlmimprovescontrollabletext}{15}
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\bibcite{lin1991divergence}{16}
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\bibcite{Lin_2020}{17}
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\bibcite{liu2023pristiconditionaldiffusionframework}{18}
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\bibcite{11087622}{19}
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\bibcite{7469060}{20}
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\bibcite{meng2025aflnetyearslatercoverageguided}{21}
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\bibcite{Nankya2023-gp}{22}
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\bibcite{nist2023sp80082}{23}
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\bibcite{nie2023patchtst}{24}
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\bibcite{rasul2021autoregressivedenoisingdiffusionmodels}{25}
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\bibcite{Ring_2019}{26}
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\bibcite{sha2026ddpm}{27}
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\bibcite{she2019neuzzefficientfuzzingneural}{28}
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\bibcite{shi2024simplified}{29}
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\bibcite{shi2025tabdiff}{30}
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\bibcite{shin}{31}
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\bibcite{sikder2023transfusion}{32}
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\bibcite{song2021score}{33}
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\bibcite{stenger2024survey}{34}
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\bibcite{tashiro2021csdiconditionalscorebaseddiffusion}{35}
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\bibcite{vaswani2017attention}{36}
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\bibcite{10.1145/1151659.1159928}{37}
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\bibcite{wen2024diffstgprobabilisticspatiotemporalgraph}{38}
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\bibcite{wu2022autoformerdecompositiontransformersautocorrelation}{39}
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\bibcite{yang2001interlock}{40}
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\bibcite{10.1145/3544216.3544251}{41}
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\bibcite{yoon2019timegan}{42}
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\bibcite{yuan2025ctu}{43}
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\bibcite{zhou2021informerefficienttransformerlong}{44}
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\bibcite{zhou2022fedformerfrequencyenhanceddecomposed}{45}
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\gdef \@abspage@last{20}
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