# Adaptive 1-Bit CMYK Merged Architecture **Source**: ChatGPT refinement on combining 1-bit noise-shaped encoding with CMYK/SLUQ routing **Status**: Design integration ready **Cross-ref**: LUT_AS_DSP_EQUATION.md, FPGA_WARDEN_NODE_SPEC.md --- ## Core Insight The 1-bit pipeline provides **cheap signal encoding over time**. CMYK/SLUQ provides **cheap routing based on signal trustworthiness**. Combined: **Adaptive encoder** that triages effort based on stream stability. --- ## The Merged Update Loop ### 1. φ-Accumulator (Threshold Generation) $$ \boxed{ \Phi_{t+1} = \Phi_t + \Delta_\phi \quad (\text{mod } 2^{32}) } $$ $$ \boxed{ i(t) = (\Phi_t \gg n) \oplus \text{mask} } $$ $$ \boxed{ \theta_t = \text{LUT}_{\text{void}}[i(t)] } $$ ### 2. 1-Bit Noise-Shaped Encoder $$ \boxed{ b_t = \begin{cases} 1 & \text{if } v_t + e_{t-1} > \theta_t \\ 0 & \text{otherwise} \end{cases} } $$ $$ \boxed{ e_t = v_t + e_{t-1} - b_t } $$ ### 3. SLUQ Routing Accumulator $$ \boxed{ a_{t+1} = a_t - (a_t \gg r) + \lambda_1 |e_t| + \lambda_2 \Delta_t + \lambda_3 m_t } $$ ### 4. CMYK State Classification $$ \boxed{ s_t = a_t \gg 14 \in \{0, 1, 2, 3\}} $$ | State | Bits | Action | |-------|------|--------| | **K** | 00 | Fast path - normal 1-bit pipeline | | **C** | 01 | Monitor - widen observation window | | **M** | 10 | Verify - secondary check vs attestation | | **Y** | 11 | Prune/Reset - swap shadow table | --- ## Stress Function $$ \boxed{ \text{stress}_t = \alpha |e_t| + \beta |\hat{\mu}_t - \mu^*_t| + \gamma \cdot \text{popcount}(\text{LUT}_{\text{void}}[i] \land \text{deviation}) } $$ --- ## Summary **A 1-bit noise-shaped transport encoder whose local residual stress is bucketed by a 2-bit SLUQ state machine into CMYK routing policies, allowing stable segments to flow cheaply and unstable segments to trigger verification or reset.**