RCR Labs (Ratan Core Research Labs) | Lead Architect: Amardeep Singh | Sentinel: Aarya
High-velocity Proof-of-Work (PoW) consensus mechanisms operating at sub-second block times (10bps to 100bps) require rigorous mathematical modeling to bound ledger growth, order competing blocks, and maintain dynamic security parameters.
This repository provides a mathematical verification framework modeling topological partial-order DAG state transitions, evaluating Kaspa ($KAS) GHOSTDAG/PHANTOM mechanics, and tracking hash rate efficiency under asynchronous block propagation.
- GHOSTDAG K-Cluster Ordering (
models/ghostdag_ordering.py): Algorithmic implementation evaluating blue/red block selection rules and topological sequence sorting. - Consensus Boundary Simulator: Analytical tools for evaluating DAG depth, anticone sizing, and thermal/mining node performance parameters.
blockdag-consensus-framework/
├── models/
│ └── ghostdag_ordering.py <-- GHOSTDAG blue-set cluster calculator
├── README.md <-- Technical paper & specification
└── LICENSE <-- MIT License