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Copies or Sources? Measuring How LLM Aggregators Count Restated Evidence in Multi-Agent Systems
Multi-agent systems built on large language models (LLMs) restate observations as a matter of course: relays forward them, shared boards repeat them and discussion rounds echo them. An aggregator that pools such messages should count sources, not statements. We convert a reported probability into un
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