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Discovering stable causal relationships in distributed environmental time series is now possible without direct data sharing, thanks to a new framework that balances dynamic analysis with spatial confounding mitigation.
Forget static prompts: this method dynamically adjusts persona influence during decoding, boosting role-playing agent realism without costly fine-tuning.
