AetherFlow: Automated Post-Merge Verification and Dynamic Conflict Resolution in Multi-Agent Programming Environments

AetherFlow v2.0.0 — Empirical Implementation This is the second major release of AetherFlow: Automated Post-Merge Verification and Dynamic Conflict Resolution in Multi-Agent Programming Environments. v2.0.0 moves AetherFlow from formalization (v1.0.0) to empirical implementation. What's Included Reference implementation (src/aetherflow/, 5 modules, 14 files).24 tests (98% coverage).5 experiments executed: 1. Conflict Window (Eq. 1a): κ = 2.892, θ = 4.000, AUC = 0.8942. Remediation Bound (Eq. 3): K = 8 → P(Remediation) ≥ 1.00003. Attribution Accuracy: F1 = 1.000 (with mitigation)4. Guardrail Effectiveness: 100% block rate (192/192)5. Scheduler Simulation: 2.5× speedup vs FIFO Full evaluation report (REPORTS/v2.0.0/report.md). PyPI Package The reference implementation is available on PyPI as aetherflow-arch (alpha release): pip install aetherflow-arch==0.1.0a1 https://pypi.org/project/aetherflow-arch/0.1.0a1/ Status Note This is a reference implementation, not a production system. Experiment 1 uses synthetic data (self-consistency test). Experiments 2–5 use simulated logs. No real-world deployment has been evaluated. The structural claims (Propositions 1 and 3) remain formally proven; the empirical results here verify that the implementation is correct. See Section 9 (Limitations) of the manuscript for a complete statement of scope.