{"version":"1.0","type":"card","id":"c28bf8eb-b9e7-42c6-b853-bdf655a2df52","url":"https://stacklist.com/card/c28bf8eb-b9e7-42c6-b853-bdf655a2df52","title":"A Survey of Context Engineering for LLMs — arXiv 2025","source_url":"https://arxiv.org/abs/2507.13334","note":"The most comprehensive academic overview of the field as of 2025. Covers context compression, retrieval, memory management, and structured context techniques across dozens of papers. Use it as a map of the entire landscape.","image":{"url":"https://ucarecdn.com/15e0d6f6-69f8-4559-b860-f081e938e8dd/","alt":"A Survey of Context Engineering for LLMs — arXiv 2025","width":316,"height":96},"stack":{"id":"e16dcdcb-06b9-481c-aef9-40b6d73a5c8e","title":"Master AI & LLM Context: From Basics to Production","url":"https://stacklist.com/c/technology/stack/e16dcdcb-06b9-481c-aef9-40b6d73a5c8e"},"created_at":"2026-07-02T10:08:41.282Z","updated_at":null,"aco":{"summary":"This survey introduces Context Engineering as a formal discipline for systematically optimizing information payloads provided to Large Language Models during inference, presenting a comprehensive taxonomy covering context retrieval, processing, management, RAG, memory systems, and multi-agent architectures. The paper analyzes over 1,400 research papers and identifies a critical research gap between models' strong context understanding and their limited ability to generate sophisticated long-form outputs.","tags":["context-engineering","large-language-models","survey","retrieval-augmented-generation","prompt-engineering","multi-agent-systems","natural-language-processing"],"key_entities":[{"name":"Lingrui Mei","type":"person","confidence":0.95},{"name":"Context Engineering","type":"concept","confidence":0.99},{"name":"Large Language Models","type":"concept","confidence":0.99},{"name":"Retrieval-Augmented Generation","type":"concept","confidence":0.95},{"name":"Multi-Agent Systems","type":"concept","confidence":0.9},{"name":"Tool-Integrated Reasoning","type":"concept","confidence":0.85},{"name":"arXiv","type":"organization","confidence":0.95},{"name":"Jiayu Yao","type":"person","confidence":0.85},{"name":"Yuyao Ge","type":"person","confidence":0.85},{"name":"Jiafeng Guo","type":"person","confidence":0.8}],"classification":"reference","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-02T10:08:50.495Z"},"token_counts":{"approximate":1174,"cl100k":1053},"content_hash":"sha256:02c9338026ce841d92680caac61c8e2741cf09a10e793fcfefb720bbf2b5dc91","acp_version":"0.2","body_available":true,"body_tokens":1174,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/c28bf8eb-b9e7-42c6-b853-bdf655a2df52.json","html":"https://stacklist.com/card/c28bf8eb-b9e7-42c6-b853-bdf655a2df52","md":"/api/public/card/c28bf8eb-b9e7-42c6-b853-bdf655a2df52.md","stack_json":"/api/public/stack/e16dcdcb-06b9-481c-aef9-40b6d73a5c8e.json"}}