When shape similarity lies: size-ratio artifacts in confusable detection Confusable detection pipelines normalise characters to a fixed canvas before measuring similarity. This hides natural size differences. We re-rendered 2,203 scored pairs (TR39 baseline + novel discoveries) at their original sizes and found 254 with width or height ratios above 2x.
The Duchy of Cornwall
，详情可参考同城约会
“小马来了，心里就踏实了。”王守芬说。马怀龙特意买来红灯笼，帮老人挂好。王守芬的脸上笑开了花，但又嘱咐起马怀龙：“小马，你可别再买这买那了，你那些工资，可都搭在我们这里了。”
If I were to evade AIGC detection, the only ideas I have are fine-tuning an LLM on massive human text or building a giant rule-based lookup table to disrupt SVM-matched features. But obviously, that’s beyond this article. Not sure if it’d work either. Or maybe there are better ways—left as an exercise. Prove it yourself.
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