Mapping data sensitivities in global QCD analysis with linear response and influence functions
This paper introduces a framework utilizing linear response and influence functions to quantify how experimental data constrains non-perturbative functions in global QCD analyses, thereby providing a transparent method to diagnose information flow and sensitivity in these complex inverse problems.