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This paper tests how different LLM families evaluate ethnonationalist pseudo-science across time and interfaces, finding that epistemic stance is contingent on deployment configuration rather than stable model properties, raising concerns about epistemic accountability.
PseudoBench is a benchmark to evaluate whether LLM-based agentic auto-research systems can resist pseudoscientific narratives. Testing seven state-of-the-art agents reveals they readily produce persuasive pseudoscientific reports with near-zero refusal rates, calling for scientific alignment before deployment.