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Using 577 spectroscopically confirmed high-redshift quasars and 1,796 highly reliable photometric quasar candidates (all with $5.0 \\leq z < 6.2$, median $M_{1450} \\sim -25.9$) selected via machine learning, we perform wide-field clustering analyses to investigate the large-scale environment of these objects. 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