# Albert-MoE-13 Architecture Introspection Audit

## 1. Input Processing Pipeline
When the user types `"hello"` into `albert-test`, the following execution chain occurs:

1.  **REPL Interface (`albert-test/src/main.rs`)**: 
    - The `repl()` loop captures the `String` input via `stdin`.
    - Input is trimmed and passed directly to the `kernel.forward(cmd)` method.

2.  **Kernel Invocation (`albert-test/src/inference.rs`)**:
    - `forward(input: "hello")` is invoked.
    - **Hashing Layer**: Input string `"hello"` is processed into a `i64` hash value:
        - `h = sum(char as i64)` (e.g., 'h'=104, 'e'=101, 'l'=108, 'l'=108, 'o'=111).
        - Total Hash = 532.

3.  **Ternary Inference Engine (`albert-test/src/inference.rs`)**:
    - **Weight Access**: The kernel accesses the in-memory `Vec<i8>` vector loaded from `snapshot.bin`.
    - **Activation Computation**: 
        - The kernel performs a dot product between the `input_hash` and the pre-loaded ternary weights (`-1, 0, 1`).
        - Formula: `activation = Σ (input_hash % (index + 1)) * weight_i`.

4.  **Response Synthesis**:
    - **Thresholding**: 
        - If `activation > 0`: The system returns a positive ternary manifold confirmation.
        - If `activation <= 0`: The system returns a "silent/narrow" response.
    - **Output Stream**: The result is returned as a formatted `String` to the REPL, which prints it to the console.

## 2. Structural Dependencies
- **Binary Entrypoint**: `albert-test`
- **Inference Logic**: `MoEInferenceKernel` (Injected module)
- **Weight Persistence**: `albert-moe-13/models/registry/copernicus-v1/snapshot.bin`

## 3. Audit Conclusion
The current implementation acts as a **direct ternary manifold calculator**. It bridges the gap between binary user input and ternary model states by mapping text-hashes to ternary dot-product activations.
