
The rapid advancement of artificial intelligence has led to a widespread perception that Large Language Models are on the verge of mastering complex mathematics, yet this perception belies a more complicated and fragile reality. Despite achieving impressively high scores on popular academic benchmarks, these sophisticated systems consistently falter when presented with novel or logically demanding mathematical challenges. This performance gap










