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Irrelevant text distractors cripple mixed-modality retrieval performance more than images, revealing a text modality preference that degrades performance in a V-shaped curve.
This work presents a tail-risk-aware turn release scheduling method that jointly decides which ready turn to release next and how much released but unfinished work to maintain, and reduces the P95 of workflow flow time under contention, achieving up to a \(3.50\times\) speedup.
Despite high report quality, many models falter in citation accuracy and claim construction, exposing a disconnect between surface-level performance and deep reasoning skills.
