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Trade-offs worth knowing: genericClosure's std::map tracks seen keys at O(log n) per step. With unique monotonic keys, the check is effectively a sorted insert, but the map still grows linearly with step count. State must be data that deepSeq can fully evaluate. deepSeq recurses through attrsets and lists, but a function value is already in normal form. There's nothing inside a closure for deepSeq to force. If each step builds a new closure that wraps the previous one (say, { process = x: prev.process (x + 1); } where prev is last step's state), the chain of closure references grows with N. deepSeq sees a function, stops, and the chain survives. The trampoline runs fine; the blowup arrives when you call the accumulated function. A constant function carried unchanged across steps causes no problem at any N.
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3. Apply per-script thresholds. Cyrillic confusables at 0.447 mean SSIM require aggressive blocking. Mathematical Alphanumeric Symbols at 0.302 can be handled more permissively, especially since NFKC already collapses most of them. Arabic at 0.205 generates almost no genuine visual confusion and can be deprioritised entirely.，详情可参考PDF资料
格式规律：agent:<agentId:<rest，其中 <rest 可以是：