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Show HN: Large scale hallucinated citation problem in published literature
A collaboration with Nature to quantify and classify fake/frankenstein citations in scholarly literature, attributing issues to generative AI use.
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A collaboration with Nature to quantify and classify fake/frankenstein citations in scholarly literature, attributing issues to generative AI use.
Grounded AI's study exposes a critical integrity crisis in academic publishing, directly linked to generative AI. The estimated 'hundreds of thousands of papers affected in 2025' highlights a systemic problem with severe implications for research credibility and scientific progress. This creates an urgent market need for robust AI-driven verification and detection tools for publishers, academic institutions, and researchers. Developer pain points include the difficulty of manually identifying sophisticated AI-generated errors and the erosion of trust in published works. The 'training data is poisoned' statement points to a foundational issue in AI development and deployment. This analysis underscores a burgeoning market for AI ethics, content verification, and anti-hallucination solutions, transforming from a niche concern to a mainstream requirement for maintaining information integrity.
Hey, Nick Morley from Grounded AI here (https://groundedai.company/)We collaborated with Nature to study the extent of fake/frankenstein citations in scholarly literature (from top 5 publishers - Springer, Elsevier, Wiley, Sage, Taylor & Francis)We're estimating hundreds of thousands of papers affected in 2025 with hallucinated citation issuesAs part of the work we analysed 20k papers generated with ChatGPT API to figure out which citation errors are characteristic of gen AI use and use that classify the errors we sawThe world's gone mad, publishing is in a nuts state, the training data is poisoned!
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What is Large scale hallucinated citation problem in published literature?
Large scale hallucinated citation problem in published literature is analyzed by our AI as: A collaboration with Nature to quantify and classify fake/frankenstein citations in scholarly literature, attributing issues to generative AI use.. It focuses on Grounded AI's study exposes a critical integrity crisis in academic publishing, directly linked to generative AI. The estimated 'hundreds of thousa...
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When was Large scale hallucinated citation problem in published literature publicly launched?
The initial public indexing or launch date for Large scale hallucinated citation problem in published literature within our tracked developer communities was recorded on April 4, 2026.
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Which technical categories define Large scale hallucinated citation problem in published literature?
Based on metadata extraction, Large scale hallucinated citation problem in published literature is categorized under topics such as: Hallucinated citation, frankenstein citations, scholarly literature, top 5 publishers (Springer, Elsevier, Wiley, Sage, Taylor & Francis).
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How does the creator describe Large scale hallucinated citation problem in published literature?
The original author or development team describes the product as follows: "Hey, Nick Morley from Grounded AI here (https://groundedai.company/)We collaborated with Nature to study the extent of fake/frankenstein citations in scholarly literature (from top 5 publishers - S..."
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