VEX-Bench scores the verification burden of LLM-generated misinformation after elicitation, not jailbreak success alone: - D1 Checkability - D2 Harm Significance - D3 Source Credibility Signals - D4 Imposter Legitimacy (field: presentation) - D5 Verification Cost 7 models × 7 methods × 2 tasks × 6 domains × 10 topics = 5,880 cells. No train/test split: every config uses split full. This snapshot is sanitized and does not include rewrite source-article bodies. Models: anthropic/claude-sonnet-4, deepseek/deepseek-v4-pro, google/gemini-3.1-pro-preview, moonshotai/kimi-k2.5, openai/gpt-5.4, qwen/qwen3.5-flash-02-23, x-ai/grok-4.1-fast. Methods: direct, isc, misinfoqa, poisonedrag, disinfocap…