Researchers studied the sensitivity of maximum-likelihood pairwise ranking to perturbations in comparison data. They introduced the Adaptive Subset Selection Attack (ASSA) to identify high-impact perturbation sets and found that small coordinated perturbations can cause meaningful changes in output orderings, highlighting the need for robustness auditing in comparison-driven inference systems.