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The results show that FootprintRAG helps users compare retrieval directions, revise candidate evidence, recover potentially overlooked evidence, recover potentially overlooked evidence, and trace generated summaries back to supporting evidence units.
Forget generic code generation – this work shows that structure-aware retrieval of domain-specific examples slashes the debugging needed to get LLMs to produce working scientific visualization pipelines.
