ActiveEnergy

I really like this approach. Could you share more details on how this is architecturally implemented? Specifically, is the Neural Reasoning System (NRS) baked into the model via fine-tuning/parameter adapters (like LoRA), or does it function as an external inference-time execution layer (e.g., a custom logits processor, verifier agent, or decoding wrapper) that intercepts token generation?

This is very interesting. Can we create multiple shadow layers and attach the appropriate layer when needed and detach it after?