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@dfeen87 dfeen87 released this 03 Jun 20:21
v1.3.0
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WNN v1.3.0: Empirical Benchmarks & Peer-Review Architecture

Release Overview

Version 1.3.0 marks the transition of the Wave-Native Network (WNN) from a theoretical engineering prototype to a fully measurable, peer-review-ready systems architecture. This release strips away "magic networking" claims and replaces them with a rigorous, automated C++-to-Python benchmarking pipeline, raw data matrices, and transparent limitations.

These updates directly support the foundational manuscript: "Wave-Native Network: A Deterministic Phase-Coherence Overlay for Edge Synchronization and Handoff-Stable Routing," co-authored with Marcel Krüger.

Major Additions & Features

  • Automated Simulation Pipeline (/simulations/): Added a deterministic test harness featuring bare-metal C++ runners and Python visualization scripts (using pandas, matplotlib, and seaborn). Executes 20 randomized seeds per scenario to ensure statistical significance.

  • Component Ablation Switchboard: Engineered a surgical ablation testing system. Modules (Phase Salt, Anti-Windup, Handoff Compensation, and Lock Detector) can now be dynamically disabled to measure their specific impact on network recovery times.

  • Raw Data Export (/data/): The system now outputs fully reproducible CSV logs for six core scenarios:

  • phase_locking.csv

  • jitter_robustness.csv

  • replay_attack.csv

  • handoff_continuity.csv

  • scalability.csv

  • ablation_study.csv

  • Publication-Ready Results (/results/): Pipeline now automatically generates 300 DPI figures and calculates hard statistical metrics (True Positive Rate, False Positive Rate, Accuracy, and Routing Stability Scores).

Documentation & Architecture Updates

  • Academic README Overhaul: Completely rewrote the README.md to reflect strict academic and engineering standards.
  • Mathematical Formalization: Added explicit, Unicode-formatted equations for the Duffing-type heartbeat, the phase-aware routing score, and the Spiral-Time phase salting heuristic.
  • Limitation Disclosures: Added transparent disclosures regarding the current 20.12% False Positive Rate (FPR) of the $\Delta\Phi$ anomaly diagnostic, strictly framing it as an experimental heuristic rather than a deployment-level cryptographic replacement.
  • License & IP Clarity: Explicitly documented the MIT Licensing for the software repository while appropriately attributing the Helix-Light-Vortex (HLV) and Spiral-Time conceptual framework to Marcel Krüger.
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