SOURCE-LINKED INTELLIGENCE

ScholarStack: Layered Research Asset Orchestration and Cross-Task Reuse for Scientific Agents

arXiv · AI, language, vision and robotics · article · Sep 20, 2026 · UTC

Scientific agents support a range of literature-based research tasks, such as retrieval, question answering, evidence-grounded generation, and claim assessment. Most existing systems, however, are organized around individual tasks: the same papers are repeatedly retrieved, segmented, and interpreted, and the understanding built in one task is difficult to reuse in the next. We present ScholarStack, a layered research asset framework that compiles a paper collection into reusable, versioned, and provenance-preserving assets at three complementary levels: source-grounded paper-level statements,

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