mlsanityData to 7 Oct 2026

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context

arXiv 2302.07302 ↗First posted 14 Feb 2023cs.HC cs.DLcited by 22

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Abstract (arXiv)

When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize and make sense of the hundreds of citations encountered during literature reviews. This paper introduces CiteSee, a paper reading tool that leverages a user's publishing, reading, and saving activities to provide personalized visual augmentations and context around citations. First, CiteSee connects the current paper to familiar contexts by surfacing known citations a user had cited or opened. Second, CiteSee helps users prioritize their exploration by highlighting relevant but unknown citations based on saving and reading history. We conducted a lab study that suggests CiteSee is significantly more effective for paper discovery than three baselines. A field deployment study shows CiteSee helps participants keep track of their explorations and leads to better situational awareness and increased paper discovery via inline citation when conducting real-world literature reviews.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Feb 2023.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 8; 2025: 5; 2026: 5.

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  1. 2024CiteME: Can Language Models Accurately Cite Scientific Claims?cited by 45
  2. 2024Cocoa: Co-Planning and Co-Execution with AI Agentscited by 38
  3. 2023ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviewscited by 34
  4. 2024Data-driven Discovery with Large Generative Modelscited by 33
  5. 2023Beyond Summarization: Designing AI Support for Real-World Expository Writing Taskscited by 20
  6. 2024PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Paperscited by 18
  7. 2024DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Explorationcited by 10
  8. 2023The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfacescited by 9
  9. 2025CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writingcited by 5
  10. 2026Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agentscited by 4
  11. 2024Survey of User Interface Design and Interaction Techniques in Generative AI Applicationscited by 3
  12. 2024AI-Enhanced Sensemaking: Exploring the Design of a Generative AI-Based Assistant to Support Genetic Professionalscited by 3
10 more
  1. 2025Citation Recommendation based on Argumentative Zoning of User Queriescited by 3
  2. 2025Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answerscited by 3
  3. 2025Words as Bridges: Exploring Computational Support for Cross-Disciplinary Translation Workcited by 2
  4. 2026Improving Attributed Long-form Question Answering with Intent Awarenesscited by 2
  5. 2025TreeReader: A Hierarchical Academic Paper Reader Powered by Language Modelscited by 1
  6. 2023CausalCite: A Causal Formulation of Paper Citationscited by 0
  7. 2024RealitySummary: Exploring On-Demand Mixed Reality Text Summarization and Question Answering using Large Language Modelscited by 0
  8. 2026From Toil to Thought: Designing for Strategic Exploration and Responsible AI in Systematic Literature Reviewscited by 0
  9. 2026PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routingcited by 0
  10. 2026FootprintRAG: Visual Analytics for Evidence Context Refinement in RAG-based Scientific Literature Explorationcited by 0