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This survey synthesizes 257 papers on validating agentic AI systems, proposing a five-dimension taxonomy covering behavioral, safety, temporal, regulatory, and multi-agent concerns. It identifies gaps in temporal validity, runtime evidence maintenance, regulatory legibility, and open-ended multi-agent assurance, arguing that trustworthy deployment requires validating trajectories in context.