Checked fact 160615 Oct 2026Research

The report says the detector reconstructs the keyed values at each scored position, derives a score from the observed token, and sums the scores to compare with the distribution of that sum for unwatermarked text.

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The exact words it rests on

The context window and key reconstruct the cost table and selected column ... The cost for the observed block ... is transformed into the score ... Repeating this procedure at the scored positions yields Y1, ..., Yn. Their sum is compared with its distribution under unwatermarked text to test for a watermark.

What the source said when we opened it, on 15 Oct 2026.

The source

textGrain: Entropy-Calibrated Watermarking for Language Model Text
OpenAI · 2026-10-05

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Checked by the notis newsroom on 15 Oct 2026, against the source above.

In the story

How text watermarks work and what EU Article 50 requires 15 Oct 2026

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In a sentence

“The report says the detector reconstructs the keyed values at each scored position, derives a score from the observed token, and sums the scores to compare with the distribution of that sum for unwatermarked text.” ai notis, checked 15 Oct 2026. Source: textGrain: Entropy-Calibrated Watermarking for Language Model Text (OpenAI). https://ainotis.com/c/1606

As a reference (APA style)

ai notis. (2026, October 15). The report says the detector reconstructs the keyed values at each scored position, derives a score from the observed token, and sums the scores to compare with the distribution of that sum for unwatermarked text [Checked claim 1606]. ai notis. https://ainotis.com/c/1606

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