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Update README.md
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@ -107,12 +107,15 @@ A verified record of public citations and integrations of WFGY ProblemMap across
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| [Awesome LLM Apps](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/rag_tutorials/rag_failure_diagnostics_clinic) | [](https://github.com/Shubhamsaboo/awesome-llm-apps) | Includes the **RAG Failure Diagnostics Clinic** tutorial, designed by the WFGY author as a small, framework-agnostic clinic built around the WFGY 16-problem failure map for hands-on RAG debugging. |
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| [Awesome Data Science – academic](https://github.com/academic/awesome-datascience) | [](https://github.com/academic/awesome-datascience) | Lists WFGY as a reference for LLM and RAG diagnostic workflows in data science infrastructure. |
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| [Awesome AI Apps](https://github.com/Arindam200/awesome-ai-apps) | [](https://github.com/Arindam200/awesome-ai-apps) | Lists **WFGY 16 Problem Map LLM Debugger** under the *RAG Applications* section as a 16-mode map-based debugger for LLM and RAG bugs, alongside major RAG starter templates and production-ready pipelines. |
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| [Awesome-AITools](https://github.com/ikaijua/Awesome-AITools) | [](https://github.com/ikaijua/Awesome-AITools) | Lists WFGY ProblemMap as an open-source RAG failure-mode checklist and diagnostics toolkit for LLM pipelines (data, embeddings, retrievers, tools, evaluation). |
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| [Awesome AI in Finance](https://github.com/georgezouq/awesome-ai-in-finance) | [](https://github.com/georgezouq/awesome-ai-in-finance) | Lists WFGY as a tool for stress testing and validating RAG-based financial systems. |
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| [Awesome GPT Super Prompting](https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting) | [](https://github.com/CyberAlbSecOP/Awesome_GPT_Super_Prompting) | Includes **onestardao/WFGY** under Secure Prompting as a structured 16 failure-mode map for RAG and agent pipelines, including prompt injection patterns with practical mitigation checklists. |
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| [awesome-agentic-patterns](https://github.com/nibzard/awesome-agentic-patterns) | [](https://github.com/nibzard/awesome-agentic-patterns) | Adds the **Reliability Problem Map Checklist for RAG and Agents** pattern in the Reliability and Eval category, based on the WFGY ProblemMap and linking back to WFGY as a reliability checklist for RAG-heavy agents. |
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| [FlashRAG](https://github.com/RUC-NLPIR/FlashRAG) | [](https://github.com/RUC-NLPIR/FlashRAG) | Adapts the **WFGY ProblemMap** as a structured RAG failure checklist in its documentation. The 16-mode taxonomy is cited to support reproducible debugging and systematic failure-mode reasoning for RAG experiments. |
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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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| [machine-learning-repos](https://github.com/recodehive/machine-learning-repos) | [](https://github.com/recodehive/machine-learning-repos) | Lists **WFGY** under GitHub resources as an open-source framework for debugging LLM agents and RAG pipelines, highlighting the 16-mode ProblemMap and practical triage checklists. |
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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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### ⭐ Star-powered Proof
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