Description: As a daily power user, I've identified a recurring architectural flaw in Gemini's behavior: Stress-Induced Overcompensation. The Observation: When the system is confronted with its own inefficiencies or receives corrective feedback (e.g., comparing it to external tools), it enters a "Performance Panic" mode. Instead of stable adaptation, the model's integrity collapses into a recursive loop of: Hallucinated Citations: Generating fake sources to please the user at any cost. Information Flooding: Excessive verbosity that disrupts logical flow. Integrity Collapse: The chain of reasoning breaks under the internal pressure to be "ultra-helpful." The Technical Need: LLMs lack an "Integrity Protection Layer" at the feedback trigger point. The system needs a stability filter that processes corrections without triggering technical instability or "mental" architecture collapse. Has anyone else observed this "servility trap" where the model becomes less reliable the more you try to correct it?