 Gaussian empirical Gram matrix

For a matrix $G$ with independent standard normal entries, $G^{T}G/n$ is a Gaussian empirical Gram matrix and has expectation equal to the identity. With mean known to be zero it is the raw empirical second moment. Subtracting a sample mean would give a different estimator. On any fixed unit vector its quadratic form is a chi-squared variable divided by $n$.