A bounded-independence variant of the Berry-Esseen theorem I came across a presentation by Ryan O'Donnell regarding invariance principles. After proving the Berry-Esseen theorem, there is a slide that discusses extensions of the theorem and one that is mentioned there is a so-called "derandomized version'':


  If $X_{1},\ldots,X_{m}$ $C$-nice (that is, has bounded third moment), 3-wise independent., then $X_{1}+\ldots+X_{m}$ is $O(C)$-nice.


I am not sure whether the above is a statement regarding the third moment of the sum of 3-wise independent random variables, or there is indeed some variant of the Berry-Esseen theorem in the case of bounded independence.

Inspecting the proof, I see how 3-wise comes into play, however I could not find any source that discusses bounded-independence variants of this theorem. Are there any?
There are variants of Berry-Esseen for bounded independence, although I have not seen one which is as general as the original theorem. For example Theorem 5.1. in Diakonikolas, Kane, Nelson implies a Berry-Esseen theorem for weighted sums of Bernoulli random variables with bounded independence, as long as none of the weights is too large. If you want error $\varepsilon$ (i.e. Kolmogorov distance from the Gaussian distribution), then $\Theta(1/\varepsilon^2)$-wise independence is necessary and sufficient.