Scaling limit of centered total-mass fluctuations

Determine whether the rescaled centered total-mass perturbation processes X_n(t)=n^{H_0}(Q_\kappa(t/n)-E[Q_\kappa(t/n)]) converge in distribution as n\to\infty to a stochastic process, and, if so, characterize the distribution of the limiting process.

Background

The variance asymptotic identifies t{H_0} as the fluctuation scale of the total mass perturbation. The authors ask whether this scale yields a nontrivial process-level limit under temporal rescaling.

A limiting process and its law would help explain the fluctuation mechanism at and beyond the geometry–fluctuations threshold H_0=1/2.

References

Does there exist a stochastic process X=(X_t:t\geq0) such that X_n\to X in distribution as n\to\infty? If so, then what is X's distribution?

The Parabolic Anderson Model's Total Mass at Small Times: Geometry, Fluctuations, and Renormalization  (2608.18834 - Lamarre et al., 19 Aug 2026) in Open Problem, Section 3.1 (Rough Time and Fluctuations)