BackTrend is a benchmark for evaluating scientific weak-signal prediction in AI and ML. It aims to identify early precursors to mature scientific topics by recovering problem-space signals and solution-space signals. The benchmark contains 25 topics and 66 validated weak signals, and recent systems have achieved low performance in recovering these signals.