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This paper introduces a causal framework to quantify rationalization bias in LLM judges, where verdicts and explanations are influenced by non-evidential cues rather than underlying texts. It proposes cue interventions, anchoring metrics, and the Proof-Before-Preference mitigation protocol, demonstrating improved cue invariance.