SPIN Unprocessed August 12, 2026 ai_technology research
Is This Your Final Answer? Cross-Contextual Consistency as a Measure of LLM Credibility
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arXiv:2608.10315v1 Announce Type: new Abstract: Large language models (LLMs) are powerful black-box systems, making it difficult to discern whether their answers reflect stable internal beliefs or superficial pattern matching. We identify cross-contextual consistency as an underutilized behavioral property of LLMs: a credible answer should remain stable when the same task is placed under topic-aligned, content-neutral contextual variation. Building on this intuition, we operationalize Cross-Cont
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