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Using exclusively the localized estimates upon which the helicoidal method was built, we show how sparse estimates can also be obtained. This approach yields a sparse domination for multiple vector-valued extensions of operators as well. We illustrate these ideas for an -linear Fourier multiplier whose symbol is singular along a -dimensional subspace of $\Gamma=\lbrace \xi_1+\ldots+\xi_{n+1}=0 \rbracek<\dfrac{n+1}{2}$, and for the variational Carleson operator.

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