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This is a theoretical computer science result on algorithmic complexity and approximation bounds, not a clinical or empirical study, and establishes mathematical limits rather than actionable evidence.
This is a theoretical mathematical work answering a 2015 open problem by constructing counterexamples and proving worst-case sample complexity bounds; it raises and resolves a question about high-dimensional statistics rather than testing an empirical claim.
Theoretical analysis of online regression algorithms with lower-bound constructions and limited empirical validation; raises questions about feature priming rather than settling clinical or practical questions.