  We establish that the limiting spectral distribution of a block-rescaled
empirical covariance matrix is an arcsine law when the ratio between the
dimension and the underlying sample size converges to 1 and when the samples
corresponding to each block are independent. We further propose a conjecture
for the cases where the latter ratio converges to a constant in the unit
interval.
