WorldMat-TiDAR provides a sophisticated framework for executing 27 simultaneous TiDAR (Diffusion & Autoregressive Verification) cells arranged in a 3×3×3 matrix. By balancing GF(3) polarities (Minus, Ergodic, Plus) across temporal phases (Past, Present, Future) and modalities (Observation, Action, Prediction), it ensures mathematical conservation and ergodic mixing. This skill is ideal for researchers and developers working on topological chemputing, multi-agent AI systems, and high-concurrency workflows that require Same-Seed/Same-Result (SPI) guarantees and efficient work-stealing scheduling.
Key Features
01Dual-phase TiDAR pattern: Parallel Diffusion and Sequential AR Verification
023×3×3 matrix execution featuring 27 independent TiDAR cells
03Intelligent Work-Stealing scheduler to optimize idle agent utilization
042 GitHub stars
05ACSet export for seamless integration with topological data schemas
06GF(3) Conservation ensuring all matrix slices balance to zero