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PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Tasks
The Abstraction and Reasoning Corpus (ARC) has become a prominent benchmark for evaluating general abstract reasoning and fluid intelligence in AI models. Yet standard ARC evaluation considers only a single capability: producing the correct output grid for a test input. We argue that this narrow for
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