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LLMs hit a hard wall in algebraic reasoning, choking on problems with just 20-30 parallel branches regardless of model size, suggesting an architectural bottleneck, not just a capacity issue.
LLMs can reliably judge the correctness of time series explanations, even when their own explanations are wrong, opening the door to reference-free evaluation.
