CASE EVIDENCE / A RECORD
Bart Czernicki / RiskAnalysisWithGenerativeAIReasoning 公开的代码代理与软件工程案例，来源为 公开代码库，复核于 2026-06-27T07:08:28Z。
原始记录：Risk Analysis with Generative AI Reasoning uses o1 to compare Microsoft SEC 10-K risk factors
Chinese Brief
Bart Czernicki / RiskAnalysisWithGenerativeAIReasoning 公开的代码代理与软件工程案例，来源为 公开代码库，复核于 2026-06-27T07:08:28Z。 Model Atlas 将它标记为 A 类证据，因为它同时具备具体使用者、具体任务、公开原始证据和可访问产物。 Model Atlas 不把 benchmark、教程、发布说明或集合页包装成真实案例。
任务
这是一个围绕软件工程任务执行的真实任务，公开材料可以回溯到具体使用者和具体产物。 原始资料写作：A C# console pipeline analyzes Microsoft 2023 and 2024 SEC 10-K risk-factor sections, compares changes between filings, and consolidates material business risks into Markdown tables.
公开材料提供公开代码、README 或项目配置，可用于核验任务结果、项目形态和模型绑定关系。 原始资料写作：The repository publishes o1-generated output files, including per-section Markdown analyses and an o1 consolidated risk analysis with risk factors, changes, potential impact, and key insights.
o1 在该案例中承担软件工程任务执行相关的生成、分析、编排或实现角色。 原始资料写作：OpenAI o1 is the reasoning model selected for the high-token, multi-step comparison and consolidation stages; the code includes o1-specific reasoning settings and routes risk-factor prompts to the o1 deployment.
当前判断基于公开材料；若产物下线、仓库变更或模型参与比例仅来自作者自述，需要在引用前重新复核。 原始资料写作：Public GitHub repository with generated artifacts. Evidence is a developer/author project rather than a third-party enterprise customer story, but it contains concrete o1 outputs and code paths for the task.