2026
A Theoretical Analysis of Detecting Large Model-Generated Time Series
AAAI 2026technical
Motivated by the increasing risks of data misuse and fabrication, we investigate the problem of identifying synthetic time series generated by Time-Series Large Models (TSLMs) in this work. While there are extensive researches on detecting model generated text, we find that these existing methods ar