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This paper proposes a retrieval-grounded small language model framework that uses formal concept analysis as a symbolic verification loop for ontology construction, demonstrating its effectiveness in a rare ataxia setting.
This paper constructs the first large-scale citation graph from 100.7 million Ukrainian court decisions, extracting over 500 million citation links. It demonstrates that the citation structure can automatically recover legal domain boundaries and predict legislative importance with near-perfect accuracy, and releases the pipeline and data as open resources.