RRG314/torchrge256: TorchRGE256 v1.1.1 — Package Refresh and Honest Counter-Mode Status

TorchRGE256 v1.1.1 - Documentation Refresh and Ecosystem Alignment Overview This release keeps the current package implementation intact and improves the public repository surface around it. The goal is to make the PyTorch package easier to understand, easier to place within the wider ecosystem, and easier to approach as a real tool rather than an isolated code drop. What Changed clarified when to use the PyTorch package rather than the broader suite or the browser demos added an explicit release-note trail and ecosystem-role document cleaned up the README so the recommended entry points are easier to see left the API unchanged in this pass Intended Use Use torchrge256 when you need deterministic tensor generation, reproducible training utilities, or a PyTorch-native random source with explicit stream/state handling. This release also makes the current status of the counter-mode branch explicit rather than silently treating it as equally mature.