Claude LLM Text Watermark Lab & Statistical Verifier

Kirchenbauer & Anthropic EU AI Act compliant statistical green/red logit bias simulation & z-score verifier

EU AI ACT STATISTICAL AUDIT
Observed Green (G / T)
0.0%
0 / 0 tokens
Empirical z-Score
0.00
z = (|G| - γT) / σ
p-Value (One-Tailed)
1.00
Binomial Null Test
Detection Verdict
Unwatermarked
Confidence: 0.0%
Watermarked Token Stream Visualizer ■ Green-list (Favored)   ■ Red-list (Disadvantaged)   ⬚ Perturbed
Hover or click any token above to inspect logit boost, hash window, and entropy status.
Null vs Observed Green Distribution N(μ=γT, σ²)
Left: Null Hypothesis (γ = 0.5) Marker: Observed Tokens (|G|)
Sequence Length vs Detection Confidence z-score scaling with √T
Threshold z = 3.0 (p < 0.0013) Current Length: 128
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