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Update README.md
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@ -56,12 +56,19 @@ A verified record of public citations and integrations of WFGY ProblemMap across
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| [Awesome AI Books](https://github.com/zslucky/awesome-ai-books) | [](https://github.com/zslucky/awesome-ai-books) | Mentions the WFGY TXT and PDF packs in the LLM reading list. |
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| [Awesome AI Web Search (discussion 15)](https://github.com/felladrin/awesome-ai-web-search/discussions/15) | [](https://github.com/felladrin/awesome-ai-web-search) | Discusses the 16 mode map as a candidate taxonomy for RAG failure modes in web search agents. |
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| [Awesome AI System](https://github.com/lambda7xx/awesome-AI-system) | [](https://github.com/lambda7xx/awesome-AI-system) | Lists WFGY under LLM robustness and debugging infrastructure. |
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| [free-ai-agents-resources](https://github.com/avinash201199/free-ai-agents-resources) | [](https://github.com/avinash201199/free-ai-agents-resources) | Lists **onestardao/WFGY** as an open-source framework for debugging and stress testing LLM agents and RAG pipelines, highlighting the 16-problem failure map and reproducible prompt-driven triage workflow. |
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| [Awesome AI Tools](https://github.com/eudk/awesome-ai-tools) | [](https://github.com/eudk/awesome-ai-tools) | Includes WFGY as an open-source framework for debugging LLM agents and RAG pipelines. |
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| [LLM-Agent-Benchmark-List](https://github.com/zhangxjohn/LLM-Agent-Benchmark-List) | [](https://github.com/zhangxjohn/LLM-Agent-Benchmark-List) | Lists **WFGY 3.0 · Singularity Demo (BlackHole-131)** as a long-horizon, text-only stress test for LLM agents, covering 131 S-class problems for tension-based reasoning and robustness evaluation. |
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| [Awesome-Data-Science](https://github.com/natnew/Awesome-Data-Science) | [](https://github.com/natnew/Awesome-Data-Science) | Adds **WFGY ProblemMap** under “Practical Guides & Debugging” as a reference for diagnosing and fixing RAG/LLM pipeline failures. |
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| [Awesome-Prompt-Engineering-ZH-CN](https://github.com/yunwei37/Awesome-Prompt-Engineering-ZH-CN) | [](https://github.com/yunwei37/Awesome-Prompt-Engineering-ZH-CN) | Includes **WFGY 16 Problem Map** in the Tools & Code section as a vendor-neutral failure map for LLM/RAG pipelines, describing the 16 failure modes and minimal recovery strategies in Chinese. |
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| [AI Agents for Cybersecurity](https://github.com/santosomar/AI-agents-for-cybersecurity) | [](https://github.com/santosomar/AI-agents-for-cybersecurity) | References the 16 mode map as a debugging guide for RAG-heavy security agents. |
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| [Awesome Artificial Intelligence Research](https://github.com/ThyrixYang/awesome-artificial-intelligence-research) | [](https://github.com/ThyrixYang/awesome-artificial-intelligence-research) | Links to WFGY in the NLP section as a project on LLM robustness, debugging, and reliability. |
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| [Awesome-Prompt-Engineering](https://github.com/natnew/Awesome-Prompt-Engineering) | [](https://github.com/natnew/Awesome-Prompt-Engineering) | Lists **“WFGY 16 Problem Map”** in the Key Reading section as a troubleshooting guide for RAG and LLM pipelines. |
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| [Awesome-LLM-based-Evaluators](https://github.com/dependentsign/Awesome-LLM-based-Evaluators) | [](https://github.com/dependentsign/Awesome-LLM-based-Evaluators) | Lists **WFGY 3.0 · Singularity Demo** and the **WFGY ProblemMap** in its “Robustness and stress-test resources” section as a TXT-based long-horizon tension reasoning benchmark and failure map for RAG and LLM robustness evaluation. |
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---
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### ⭐ Star-powered Proof
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