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When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
Financial decision-makers face more information than they can directly inspect, making context compression necessary. Yet when large language models (LLMs) compress financial source material, they can alter the investment judgment supported by the original source. We frame this problem as informatio
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