RGC v0.2: Verified 49-Core Logistic Substrate on Arty A7-100T — Extended Characterization (1.21M 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 1,209,645 frames captured over ~48 hours of uninterrupted operation. Perfect iteration stability: Δn = 49 exactly across all 1,209,644 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 first 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 Full time-series CSV (logistic_20260519_145447.csv) Raw UART session log Per-core invariant density histograms Bifurcation diagrams (scatter and heatmap) Lyapunov exponent vs. r Return maps for representative cores Core trajectory and timing analysis plots Per-core regime classification summary Engineering note (Markdown + PDF) Preliminary Heatmap of the 1/7th mode 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