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LIME (Local Interpretable Model-agnostic Explanations) is among the most prominent model-agnostic approaches, generating explanations by approximating the behavior of black-box models around specific instances. Despite its popularity, LIME faces challenges related to fidelity, stability, and applicability to domain-specific problems. Numerous adaptations and enhancements have been proposed to address these issues, but the growing number of developments can be overwhelming, complicating efforts to navigate LIME-related research. To the best of our knowledge, this is the first survey to comprehensively explore and collect LIME\u2019s foundational concepts and known limitations. We categorize and compare its various enhancements, offering a structured taxonomy based on intermediate steps and key issues. Our analysis provides a holistic overview of advancements in LIME, guiding future research and helping practitioners identify suitable approaches. Additionally, we provide a continuously updated interactive website, <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/patrick-knab.github.io\/which-lime-to-trust\/\" ext-link-type=\"uri\">Which LIME Should I Trust?<\/jats:ext-link>, offering a concise and accessible overview of the survey.<\/jats:p>","DOI":"10.1007\/978-3-032-08324-1_2","type":"book-chapter","created":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T08:48:30Z","timestamp":1760518110000},"page":"28-52","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Which LIME Should I Trust? 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