We address efficient calculation of influence functions for tracking predictions back to the training data. propose and analyze a new approach speeding up inverse Hessian based on Arnoldi iteration. With this improvement, we achieve, best our knowledge, first successful implementation that scales full-size (language vision) Transformer models with several hundreds millions parameters. evaluate ...