Recursive Micro-Networks for Efficient Reasoning

Design a modular architecture that separates control, reasoning, and verification.

Controller Module#

• Parses the task, initializes state, and decides whether to continue iterating.
• Maintains a recursion counter, confidence score, and optional exploration parameters.

Reasoning Core#

• Applies domain-specific transformations: pattern recognition, logical deduction, symbolic manipulation.
• Designed with tiny parameter counts (e.g., two-layer transformer or gated recurrent cell).

Verifier/Reflector#

• Evaluates candidate outputs, estimating correctness or alignment with constraints.
• Produces self-critique tokens that the controller feeds back into the next iteration.

Memory Buffer#

• Stores intermediate states, partial proofs, or extracted features for reference.
• Enables rollback when later iterations degrade quality.

Iteration Flow#

1. Controller reads task and initializes state.
2. Reasoning core proposes an intermediate solution.
3. Verifier evaluates and generates critique signals.
4. Controller updates state and decides to continue, adjust strategy, or stop.
5. If converged, output final answer with reasoning trace.