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This paper presents a constraint programming approach to determine NHL playoff clinching scenarios with n-day lookahead, using tree search and preprocessing techniques.
This research paper analyzes LLM reasoning traces in the game four-in-a-row, finding that LLMs exhibit myopic planning where performance is driven by shallow search breadth rather than deep lookahead, unlike human experts.