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Research analyzes ChatGPT citation selection across model versions

By PulseAugur Editorial · [1 sources] ·

A new research paper explores how generative AI models like ChatGPT select which web pages to cite in their responses. The study analyzed four different ChatGPT Web settings, observing how the models rewrite queries, retrieve potential sources, and ultimately choose citations. It found that frequently retrieved candidates are more likely to be cited and that external tools like Google Search and the OpenAI Responses API can partially predict these citations, though they only account for about a quarter of the cited URLs. AI

IMPACT Provides insights into generative engine optimization (GEO) and the factors influencing content visibility in AI responses.

RANK_REASON Research paper analyzing AI model behavior. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Research analyzes ChatGPT citation selection across model versions

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Research paper analyzing AI model behavior. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Xiaokui Xiao ·

    Understanding ChatGPT Citations: Evidence from Production Web Search Across Model Generations

    Generative engines such as ChatGPT Web retrieve webpages to answer user queries, but only a subset are shown as citations. Understanding this retrieval-to-citation process is important for generative engine optimization (GEO), which aims to improve content visibility in generativ…

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