Reality Audit — Stage 6 Report

We report completion of the Real Data Analysis Readiness Layer for the Reality Audit framework, enabling transition from simulation-based validation to blinded analysis of real public physics datasets. The system integrates experiment pre-registration, null-model construction, controlled signal injection, statistical blinding, and reproducible reporting into a unified pipeline. Validation across synthetic and mock datasets demonstrates correct null retention (no false-positive detection) and reliable signal recovery under injection. A Fermi-LAT gamma-ray burst (GRB) timing-delay analysis pipeline has been implemented as the first target application. A full end-to-end rehearsal using structured synthetic data confirms operational readiness, including quality-control gating and enforced blinding. No real public data have yet been ingested. The framework is now positioned to execute its first blinded analysis on real astrophysical datasets under strict methodological constraints.本研究完成了现实审核框架（Reality Audit framework）下的真实数据分析就绪层，实现了从基于模拟的验证到真实公开物理数据集盲分析的转型。该系统将实验预注册、零假设模型构建、受控信号注入、统计盲化与可复现报告整合为统一的分析流水线。经合成数据集与模拟数据集验证，该系统可实现准确的零假设保留（无假阳性检测），且在注入信号时可可靠恢复目标信号。本研究已将费米大面积望远镜（Fermi-LAT）伽马射线暴（gamma-ray burst, GRB）时延分析流水线作为首个目标应用予以实现。采用结构化合成数据开展的全流程端到端演练验证了系统的运行就绪性，其中涵盖质量控制门控与强制盲化机制。目前尚未摄入任何真实公开数据集。当前该框架已具备在严格方法学约束下，对真实天体物理数据集开展首次盲分析的条件。