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By restoring the classical dual variable to Plug-and-Play Diffusion, this work guarantees asymptotic convergence to the exact data manifold in medical image reconstruction, resolving the bias-hallucination trade-off that plagues existing methods.
Tool-using agents like Clawdbot are surprisingly vulnerable to seemingly harmless prompts, where minor misinterpretations can quickly escalate into high-stakes tool actions.
