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Ingest-Time Fact Compilation for Cost-Efficient and Reliable Question Answering over Revised Corpora
Most agentic question answering (QA) systems do an important part of their semantic work at the worst possible time: every time someone asks a question. When a corpus contains revisions, drafts, revocations, deletions, and sources with different levels of authority, the model must reconstruct the go
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