The Silicon Mirror: Dynamic Behavioral Gating for Anti-Sycophancy in LLM Agents

Our summary

Measures a concrete baseline — Claude Sonnet 4 showed 9.6% sycophancy across all 437 TruthfulQA adversarial scenarios — then proposes a runtime gating architecture (a persuasion-tactic classifier plus a critic that vetoes sycophantic drafts) that cut it to 1.4% in their evaluation.

Why it matters

One of the only papers to publish a concrete, reproducible sycophancy rate for a specific frontier model on a named benchmark, and to show the failure is mitigable at inference time, not just a training-time inevitability.

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