Your multi-agent research pipeline crashed after processing 12 of 28 documents. The web-search agent had identified relevant sources, the document analyzer had partly completed extraction, and the synthesizer had started identifying patterns.
You need to resume processing without duplicating work or losing fidelity from earlier findings. Which state-management approach best balances information fidelity and context efficiency when restoring agent state?
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