On the asymptotic distribution of scrambled net quadrature

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Control variates for quasi-Monte Carlo (2005, background): “In the case of scrambled nets, the central limit theorem of Loh (2003) gives reason to suppose that a multivariate Gaussian distribution would be a good approximation.”
Discrepancy Theory and Quasi-Monte Carlo Integration (2014, unknown): “Further, Loh [69] even proved a central limit theorem for Owen scrambled (0,m, s) nets.”
Estimating functions for inhomogeneous spatial point processes with incomplete covariate data (2008, background): “theorem is currently not available in the case of a randomly translated lattice whereas Loh (2003) establishes a central limit theorem for scrambled nets.”
Digital Nets and Sequences: Discrepancy Theory and Quasi-Monte Carlo Integration (2010, background): “Of particular interest in this context is also the result by Loh [156], who shows that a central limit theorem holds for the estimate Î(f) for which the quadrature points are based on a scrambled (0,m, s)-net.”