Unverified50% confidenceFactExact time
Text watermarking embeds detectable markers by adjusting the probability distribution of token selection, but it may fail after rewriting, translation, or human polishing.
1
Sources
50%
Confidence
Long-term
Relevance
10/21/2026
First Seen
Sources
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Related Claims
VerifiedText watermarking is a proactive scheme that makes slight, rule-based adjustments to the probability distribution of a language model during the generation of each token, causing the output text to carry a signature that can be recovered algorithmically.77% similarUnverifiedText watermarking should be regarded as an auxiliary judgment tool rather than an absolutely reliable authentication basis.75% similarUnverified一个合格的AI文本水印技术需要满足可检测性、鲁棒性（文本被改写、翻译或删减后签名仍存在）和低误报率74% similarUnverifiedWhen a large language model generates text, each word is sampled from a probability distribution, and there are many equivalent alternatives between high-probability and low-probability words, providing space for watermark injection.74% similarUnverifiedAI text watermarking does not add visible marks to the surface of text; instead, it leaves a statistical fingerprint during the model's generation process through subtle manipulation of token selection.74% similar
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