v1 — 647,000 cycles, zero failures
The first working v1: a two-hour adversarial stress test with no failures, no crashes, no dropped events and no ordering violations.
v1 is real.
The test
A two-hour adversarial stress test across more than 647,000 total cycles:
- Zero failures
- Zero crashes
- Zero dropped events on the bus
- Zero ordering violations
- 6.17 ms p95 latency under sustained adversarial load
The hardware abstraction layer is production-ready. The backend API is live. The decision engine is proven.
What shipped
The full eight-protocol governance stack, from Sentinel through to Terminus. The intelligence layer — Anarchy, ORACLE, MORL, PULSAR — coordinated by Fusion under safety gates, with the Meta controller adapting slowly above it. The VIHAAN authority protocol with its deterministic escalation and staged recovery.
And the thing that made all of it possible: per-stage time budgets, enforced, after the latency crisis.
What is not done
SUMO training and a real pilot. Until a system has met an environment it did not anticipate, its numbers describe a laboratory.
Roadmap
- Temporal graph networks — extend graph modelling to how the graph itself evolves over time, rather than treating each snapshot independently
- Digital twin engine — a real-time virtual mirror of the network running alongside the live system rather than ahead of it
Since shipped
Three items published on the v1 roadmap have since been built, and this entry is amended rather than rewritten so the sequence stays visible:
- Graph neural network traffic modelling now exists as
learning/gnn_traffic_model.pyandlearning/gnn_prediction_layer.py— message passing over the road network as a graph, with its own training and inference paths. - Adversarial robustness exists as
security/adversarial_robustness.py. It is documented in adversarial robustness. - Predictive incident detection exists as
learning/incident_detection.py.
A changelog whose roadmap silently becomes accurate is a changelog nobody can date.