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While substantial progress has been made on episodic sub\u2010tasks, achieving autonomy for long\u2010horizon tasks that span the entire procedure remains challenging. Current logic\u2010based heuristics and end\u2010to\u2010end learning approaches, though effective for short\u2010term actions, struggle to adapt to the evolving dynamics of complete surgical workflows. To address this gap, an expertise transfer framework is introduced to achieve procedure\u2010spanning autonomous view assistance by emulating expert logic. 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