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A single analytical solution precisely balances any two binary classification ranking metrics, revealing that optimal tradeoffs are rarely simple averages of importance parameters.
ARC model performance hinges more on training budgets than architecture alone, with TRM benefiting from extensive pretraining and TTT variants while VARC excels with minimal pretraining and fewer TTT variants.