遇见数据集

ECR Unified Coherence Law — Reflex Core Model (Φ (r)) Validation Dataset (RUN-20 → 40)

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Zenodo2026-05-30 更新2026-05-26 收录
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04-26-2026: The frameworks and concepts originate from the author's observation and pattern recognition. Large language models served as articulation and stress-testing tools throughout development. No changes made aside from the addition of this disclosure. 04-04-2026 added ORCID to Author/Creator. No other changes made This dataset contains the empirical validation materials and control parameters for the Reflex Core (Φ (r)) of the ECR Unified Coherence Law Framework. It includes baseline calibration, composite stress testing, and extended-duration entropy-drift evaluation (Runs 20 → 40). These results demonstrate time-optimal safety, adaptive responsiveness, and long-term stability of the Reflex Core under high-entropy operational conditions. Together, they provide the mechanical proof of the Unified Coherence Law and form the bridge between conceptual empathy modeling (AI Personality Companion, RUN-01 → 13) and the full ECR system synthesis (Notes 054 → 074-A). Relationship: Derived From → AI Personality Companion SCL-SIM Dataset (RUN-01 → 13), DOI 10.5281/zenodo.17344633

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2025-10-13
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