Research
TSAuditor: A time-series auditing framework [P]
TSAuditor is a contamination auditing framework for time series foundation models that uses probe adaptation dynamics to detect when evaluation datasets may have been exposed during pretraining, valid
TSAuditor is a contamination auditing framework for time series foundation models that uses probe adaptation dynamics to detect when evaluation datasets may have been exposed during pretraining, validated on 6 TSFMs and 187 datasets. The framework establishes probe time dynamics as a foundation for reliable contamination auditing in time series.
Source: r/MachineLearning | 2026-06-20