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An Authorization-Closure-Graph (ACG)-based framework that represents authorization and its dependencies as an evolving, versioned state that selectively invalidates authority affected by a revision while preserving unaffected portions of the authorization state, and computes a minimal repair.
Experiments across four Chinese stock universes show that AlphaDiverse can combine competitive prediction with broader exploration, and let the research system generate complementary plan portfolios and vary research environments across loops to collect diverse research paths.
Interactions are introduced as a fine-grained tool to analyze prompt sensitivity of LLMs and it is discovered that subtle changes to prompts can trigger severe instability in interactions, even when the outputs of the LLM remain the same.
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