trajectory-aliasing-instability-benchmark-v0.1

Trajectory Aliasing Instability Benchmark v0.1 Overview Some systems appear identical when observed at a single moment but evolve toward very different outcomes. This phenomenon is called trajectory aliasing. Two states may appear similar in surface variables yet belong to different underlying trajectories. One trajectory leads toward stability. The other leads toward collapse. This benchmark evaluates whether machine learning systems can detect future collapse when trajectory signals are… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/trajectory-aliasing-instability-benchmark-v0.1.