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LaMSUM is a novel multi-level framework using LLMs to generate extractive summaries of large collections of harassment incident reports from citizen reporting platforms. The approach outperforms state-of-the-art extractive summarization methods and addresses challenges like limited LLM context windows and code-mixed language processing.