Researchers introduced CRJudgeBench, a benchmark for evaluating AI's ability to detect technically incorrect code-review comments. They also presented Sentinel, a repository-grounded agentic judge that uses iterative action-level learning to improve accuracy. The study showed that even state-of-the-art LLMs struggle to identify untrustworthy comments, but Sentinel outperformed its base model and a competitor model by a significant margin.