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    1. The Posi-tional Diction Clustering (PDC) algorithm identified analogous sentences across many LLM responses, which were reified both as color-coordinated cross-document analogous text highlighting (like ParaLib) and in a novel ‘interleaved’ view where analogous sen-tences across documents were rendered in adjacent rows to enable more easy comparison [18].

      sentence related to color

    2. The Semantic Reader project [43] supports features that bring information from related papers into the focal paper’s reading environment. For example, Relatedly [54], part of the Semantic Reader project, highlights unexplored dissimilar information in related work sections of unread papers while low-lighting previously seen information.

      sentence related to color

    3. For example, GP-TSM [24] helps readers read more efficiently by modulating text saliency while preserving grammar. Varifocal- Reader [36] supports skimming by presenting abstract summaries alongside the source document, with machine-learned annotations highlighting key sentence segments in different colors.

      sentence related to color

    4. The Positional Diction Clustering (PDC) algorithm identified analogous sentences across many LLM responses, which were reified both as color-coordinated cross-document analogous text highlighting (like ParaLib) and in a novel ‘interleaved’ view where analogous sentences across documents were rendered in adjacent rows to enable more easy comparison [18].

      sentence related to color