RGC v0.2: Verified 49-Core Logistic Substrate on Arty A7-100T — 2nd Extended Characterization (1.2M frames, ~48 h)

This dataset contains the complete raw data and supporting analysis from a continuous 48-hour run of a 49-core Resonance Graph Core (RGC v0.2) implemented on a Digilent Arty A7-100T FPGA. The design executes the logistic map across a parameter sweep (r = 3.500 → 4.000) with fixed-point arithmetic. Key Results: Precise Duplication of the previsous results 1,200,000 frames captured over ~48 hours of uninterrupted operation, run a second time. Perfect iteration stability: Δn = 49 exactly across all 1,200,000 inter-readout intervals (zero anomalies). Faithful reproduction of canonical logistic map dynamics, including period-4, period-5, period-3 (Sharkovskii window at Core 32), period-10, and broadband chaotic regimes. Per-core invariant density, numerical Lyapunov exponents, and return maps confirm regime-specific behavior consistent with theoretical expectations. Clean 230400 baud UART telemetry with bounded cumulative drift over the full run. Purpose This work establishes the second long-term-stable hardware logistic-map substrate suitable for future scientific testing of resonance-based hypotheses. No claim is made that the present data supports any specific theoretical prediction. The dataset is released as a verified engineering milestone and as the foundation for upcoming pre-registered experiments. Contents Bifurcation overlay Bifurcation void Cycle Length Comparison Delta N Comparison Forbidden Bigrams Comparison Health Comparison Invariant Density Grid Lyapunov exponent vs. r Per Core Comparison Q1.23 State-Space Coverage Per Core Timing Comparison Void Fraction Comparison Context This dataset belongs to the Tau Universe Framework (TUF2026) effort to explore hardware embodiments of resonance-graph computing. Future work will include pre-registered τ-imprint tests and extension to multi-board distributed resonance graphs. License CC BY 4.0本数据集包含在Digilent Arty A7-100T型现场可编程门阵列（FPGA）上实现的49核共振图核心（Resonance Graph Core, RGC v0.2）连续48小时运行的完整原始数据与配套分析结果。该设计采用定点算术，对逻辑映射执行参数扫描（r = 3.500 → 4.000）。 关键结果：与先前实验结果的精准复现 - 本次实验历经约48小时不间断运行，累计采集120万帧数据，并完成二次重复运行。 - 迭代稳定性极佳：在全部120万次读取间隔内，Δn恒等于49，无任何异常情况。 - 标准逻辑映射动力学的忠实复现，涵盖4周期、5周期、3周期（核心32处的沙可夫斯基窗口）、10周期以及宽带混沌态。 - 各核心的不变密度、数值李雅普诺夫指数以及回归映射均验证了与理论预期一致的区域特异性行为。 - 采用230400波特率的通用异步收发传输器（UART）遥测信号清晰，全运行周期内累积漂移处于可控范围。 研究目的：本工作构建了第二套可长期稳定运行的硬件逻辑映射基底，可用于后续基于共振假说的科学测试。本数据集不声称可支撑任何特定理论预测，其发布既是一项经过验证的工程里程碑，也将作为后续预注册实验的基础。 数据集内容 - 分岔叠加图 - 分岔空区图 - 周期长度对比图 - Δn对比图 - 禁用二元组对比图 - 健康状态对比图 - 不变密度网格图 - 李雅普诺夫指数随r的变化图 - 单核心对比图 - Q1.23格式下各核心的状态空间覆盖范围 - 时序对比图 - 空区占比对比图 研究背景：本数据集隶属于Tau Universe框架（TUF2026）项目，该项目旨在探索共振图计算的硬件实现方案。后续研究将包括预注册的τ印记测试，以及将系统扩展至多板分布式共振图。 许可协议：CC BY 4.0