{"slug": "lost-in-context-addressing-context-anxiety-in-large-language-models", "title": "Lost in Context: Addressing Context Anxiety in Large Language Models", "summary": "A new study from arXiv finds that frontier reasoning models sometimes fail not because they lack capability but due to \"context anxiety\" — premature self-doubt arising from an inability to accurately estimate the tokens needed to complete a task. The research shows that context anxiety causes material efficiency losses under perceived constraints, and that models can learn alternative strategies to solve long-horizon problems without exhibiting this behavior, suggesting performance gains may come from improving self-assessment rather than scaling capabilities.", "body_md": "# Computer Science > Artificial Intelligence\n\n[Submitted on 29 May 2026]\n\n# Title:Lost in Context: Addressing Context Anxiety in Large Language Models\n\n[View PDF](/pdf/2607.21616)\n\n[HTML (experimental)](https://arxiv.org/html/2607.21616v1)\n\nAbstract:Conventional wisdom suggests that reasoning models fail when problems exceed their capabilities. However, we find that frontier reasoning models sometimes possess the necessary capabilities to solve problems but fail due to premature self-doubt -- a phenomenon informally known as context anxiety. We provide the first systematic study of context anxiety, demonstrating that it arises, in part, from a model's inability to accurately estimate the tokens required to complete a task. We also show that context anxiety leads to material efficiency losses when models operate under perceived constraints. Building on this analysis, we further show that models can learn alternative strategies for solving long-horizon problems without exhibiting context anxiety, suggesting that performance improvements may be achievable not through scaling model capabilities, but by improving models' ability to accurately assess and adapt to their own limitations.\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/lost-in-context-addressing-context-anxiety-in-large-language-models", "canonical_source": "https://arxiv.org/abs/2607.21616", "published_at": "2026-07-27 23:02:22+00:00", "updated_at": "2026-07-27 23:22:19.086335+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "ai-safety"], "entities": ["arXiv"], "alternates": {"html": "https://wpnews.pro/news/lost-in-context-addressing-context-anxiety-in-large-language-models", "markdown": "https://wpnews.pro/news/lost-in-context-addressing-context-anxiety-in-large-language-models.md", "text": "https://wpnews.pro/news/lost-in-context-addressing-context-anxiety-in-large-language-models.txt", "jsonld": "https://wpnews.pro/news/lost-in-context-addressing-context-anxiety-in-large-language-models.jsonld"}}