A computational framework combining Kullback-Leibler divergence and embedding density estimation traces individual scholars' language against disciplinary knowledge evolution in 20th-century general relativity research.
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Trajectories of Change: Approaches for Tracking Knowledge Evolution
A computational framework combining Kullback-Leibler divergence and embedding density estimation traces individual scholars' language against disciplinary knowledge evolution in 20th-century general relativity research.