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544 lines
17 KiB
Markdown
544 lines
17 KiB
Markdown
# FPGA Warden Node — AMMR + MIMO Architecture (DAG 741-R2)
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**Date:** 2026-04-17
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**Status:** Design phase — Corrected AMMR semantics with MIMO carrier fusion
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**Motivation:** Replace repeated nonlinear phase composition with linear fixed-point accumulation. Execute expensive nonlinear operations (norm, atan2) exactly once per attestation window rather than per merge or per mode.
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---
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## 1. Core Reformulation
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### 1.1 The Master Equation (SSMS Recurrence)
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The node must implement the 6-step **Master Equation** for all recursive state updates ($S_t \to S_{t+1}$):
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$$S_{t+1} = \text{MLGRU}(\text{Gossip}(\text{Prune}(\text{Stabilize}(\text{Score}_{\Sigma+NK}(\text{Expand}(S_t))))))$$
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The FPGA logic acts as the high-speed execution target for the **Expand**, **Score**, and **Stabilize** operators.
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### 1.2 The Unified Manifold-Blit (Picard Shortcut)
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Manifold transitions within the node must utilize the **Unified Manifold-Blit Equation** to bypass traditional Picard iteration:
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$$M_{k+1} = \text{Quant}_{\text{LLM}} \left( \mathcal{J}_{\text{DAG}} \left[ M_k \oplus \left( \Psi_q \otimes \mathcal{R}_{\text{RT}} \right) \right] \right)$$
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The FPGA's `PhaseVec` accumulator is the hardware implementation of the **Blitter Operator** ($\oplus$).
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### 1.3 TSDM Packet Structure (LoRa / I2P)
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To support the **Topologically Stable Distributed Manifold (TSDM)** over constrained networks, nodes broadcast highly compressed, **Sparse Radiographs** instead of full state blocks.
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* **Total Size:** < 200 bytes.
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* **Format:**
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* `[2 bytes]` Magic Header (0xTS)
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* `[1 byte]` Projection Angle Index ($\theta$) — Index into a predefined geodesic grid.
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* `[1 byte]` Resolution Level (Adaptive) — Based on Hiding-Surfacing Ratio ($\tilde{N}_t$).
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* `[4 bytes]` Shell Index ($n$)
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* `[32 bytes]` Ed25519 Node Signature
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* `[16 bytes]` Spectral Signature ($\Psi_q$) — 8 bins, Q16_16 encoded.
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* `[140 bytes]` BLAKE3 Attestation Proof & Topological Witnesses.
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* **Adaptive Behavior (Low Bandwidth):**
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* **Sparse Sampling:** In extreme low-bandwidth (< 10 bps) scenarios, the Warden reduces the frequency of snapshots and only transmits "Delta-Radiographs" (XOR difference from previous state).
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* **Progressive Reconstruction:** The local `PhaseVec` accumulator iteratively refines the manifold. Even with a single packet, a "Lawful Silhouette" of the manifold is reconstructed; fidelity increases linearly with each unique angle index received.
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* **Hiding-Surfacing Ratio ($\tilde{N}_t$):** The resolution of transmitted $\Psi_q$ is adjusted dynamically. If $\tilde{N}_t$ (Model 175) drops, the Warden collapses spectral bins to prioritize attestation witness survival over geometric detail.
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### 1.4 Corrected AMMR Law
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The architecture implements **Arithmetic Mean of Magnitude and Ratio (AMMR)** with phase-correct accumulation:
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deterministic feature extraction
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→ linear AMMR accumulation
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→ single final projection (κ, ϕ)
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### 1.5 Memory-Mapped Frustration Ports (MMFP)
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To support the $O(1)$ computation of the **Anisotropically Frustrated Torsional Gradient Flow**, the Warden maps the locking potential $I_{lock}$ to dedicated hardware shadow registers.
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| Port ID | Register | Direction | Semantic Mapping |
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|---------|----------|-----------|------------------|
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| `M[-23]` | `FRUST_PREV_X` | W | Previous embedding state $X_{t-1}$ (PhaseVec) |
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| `M[-24]` | `FRUST_ANISO` | W | Anisotropy Tensor $A^{ij}$ weights |
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| `M[-25]` | `FRUST_RESULT` | R | Interlocking Energy $I_{lock}$ / Yield Status |
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The hardware blitter executes the `interlockingEnergy` functional (implemented in `ManifoldFlow.lean`) in the background, updating `M[-25]` on every write to `M[-23]`.
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Each mode contributes a vector in ℝ²:
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Φᵢ = [xᵢ, yᵢ]
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The node accumulates only:
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z_ϕ = Σᵢ Φᵢ
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At end-of-window, compute once:
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κ = ‖z_ϕ‖
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ϕ = atan2(z_y, z_x)
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with singularity resolution:
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(x, y) = (0, 0) ⇒ ϕ = 0
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### 1.2 Why This Cuts Processing
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The architecture replaces repeated nonlinear phase composition with **linear fixed-point accumulation in the inner loop**. The expensive nonlinear operations — norm and atan2 — are executed exactly once per attestation window rather than once per merge or once per mode.
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---
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## 2. MIMO Interpretation of Signal Carriers
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### 2.1 Carrier Vector Model
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Treat all carriers as a joint **MIMO transport layer**:
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xₜ = [xₜ⁽ᵃ⁾, xₜ⁽ᵛ⁾, xₜ⁽ᶜ⁾, xₜ⁽ᵗ⁾]
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where:
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- xₜ⁽ᵃ⁾ : audio / DSP carrier
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- xₜ⁽ᵛ⁾ : video / HDMI field carrier
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- xₜ⁽ᶜ⁾ : caption / text carrier
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- xₜ⁽ᵗ⁾ : timing / TMDS-like control carrier
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### 2.2 Channel Output
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yₜ = Hₜ xₜ + nₜ
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Each carrier contributes an AMMR vector:
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Φ⁽ᵃ⁾, Φ⁽ᵛ⁾, Φ⁽ᶜ⁾, Φ⁽ᵗ⁾ ∈ ℝ²
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Fused phase state:
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z_ϕ = Φ⁽ᵃ⁾ + Φ⁽ᵛ⁾ + Φ⁽ᶜ⁾ + Φ⁽ᵗ⁾
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This is **associative, commutative, and parallelizable**.
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---
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## 3. AMMR Form of the Warden Pipeline
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### 3.1 Feature Extraction
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For each segment i, compute deterministic amplitude:
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aᵢ = |μᵢ − μ₀| / μ₀
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where μᵢ is segment mean and μ₀ is reference baseline.
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### 3.2 φ-Indexed Addressing
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Fixed-point φ-accumulator:
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uₖ₊₁ = (uₖ + ϕ_fixed) mod 2ᴺ
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Generates low-discrepancy address stream. Address now samples vector contribution basis, not just scalar concentration logic.
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### 3.3 Void-Mask Sampling
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Void-mask LUT remains entropy reservoir:
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mₖ ∈ {0, 1}
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Blue-noise spacing with deterministic synthesis-time initialization.
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### 3.4 Prime-Cycle Traversal
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Mod-7 / prime-cycle counter as decorrelation operator:
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cₖ₊₁ = (cₖ + 1) mod 7
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or more generally mod-p with p coprime to mode count.
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### 3.5 Carrier-Local PhaseVec Contribution
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For each mode i:
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Φᵢ = [aᵢ · mᵢ, aᵢ · wᵢ]
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where mᵢ is void-mask hit and wᵢ is second deterministic basis term (mirror bit, parity, phase classifier hint, or adjacent-ratio proximity).
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Practical choice:
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- xᵢ = aᵢ · mᵢ
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- yᵢ = aᵢ · pᵢ (proximity/resonance from adjacent amplitudes)
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### 3.6 AMMR Accumulation
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z_ϕ = Σᵢ Φᵢ = [Σᵢ xᵢ, Σᵢ yᵢ]
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No angle computed inside loop.
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### 3.7 Final Projection
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At end-of-window:
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κ = ‖z_ϕ‖
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ϕ = arg(z_ϕ)
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Emit: kappa_out, phi_out, phase_class_out
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Optional backward compatibility:
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ϕ_corr = ακ + β · g(ϕ)
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---
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## 4. Revised Integrated Architecture
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```
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bytes
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↓
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segment means
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↓
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deviation amplitudes aᵢ
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↓
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φ-addressed void-mask / resonance sampling
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↓
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Φᵢ ∈ ℝ²
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↓
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z_ϕ = Σᵢ Φᵢ
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↓
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(κ, ϕ)
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↓
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classify / attest
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```
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Replaces: scalar concentration + scalar phi_prox → ϕ_corr
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With: full phase-capable AMMR accumulator
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---
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## 5. Verilog Implementation Modules
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### 5.1 PhaseVec Accumulator (Q16.16)
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```verilog
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// Q16.16 signed fixed-point
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typedef logic signed [31:0] q16_16_t;
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typedef struct packed {
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q16_16_t x;
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q16_16_t y;
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} phase_vec_t;
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module phasevec_accum #(
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parameter N_MODES = 14
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)(
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input logic clk,
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input logic rst,
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input logic en,
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input q16_16_t contrib_x,
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input q16_16_t contrib_y,
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input logic contrib_valid,
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input logic frame_start,
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input logic frame_end,
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output phase_vec_t acc_out
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);
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phase_vec_t acc;
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always_ff @(posedge clk) begin
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if (rst || frame_start) begin
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acc.x <= 32'sd0;
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acc.y <= 32'sd0;
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end else if (en && contrib_valid) begin
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acc.x <= acc.x + contrib_x;
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acc.y <= acc.y + contrib_y;
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end
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end
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assign acc_out = acc;
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endmodule
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```
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This is the AMMR core. Everything before is carrier-local / mode-local feature generation.
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### 5.2 φ-Accumulator Address Generator
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```verilog
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module phi_address_gen #(
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parameter FRAC_BITS = 16,
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parameter ADDR_BITS = 10,
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parameter PHI_FIXED = 32'd106070
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)(
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input logic clk,
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input logic rst,
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input logic step,
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output logic [ADDR_BITS-1:0] addr,
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output logic mirror_bit
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);
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logic [31:0] acc;
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always_ff @(posedge clk) begin
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if (rst)
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acc <= 32'd0;
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else if (step)
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acc <= acc + PHI_FIXED;
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end
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assign mirror_bit = acc[31];
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assign addr = acc[ADDR_BITS-1:0] ^ {ADDR_BITS{mirror_bit}};
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endmodule
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```
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Keeps current φ-mirror logic, feeds vector contributions instead of scalar logic.
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### 5.3 Void Mask + Proximity to PhaseVec
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```verilog
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module mode_to_phasevec (
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input q16_16_t amp_i, // deterministic mode amplitude
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input logic void_hit, // LUT bit
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input q16_16_t prox_i, // deterministic proximity / resonance score
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output q16_16_t vec_x,
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output q16_16_t vec_y
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);
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// x = amp_i if void-hit else 0
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assign vec_x = void_hit ? amp_i : 32'sd0;
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// y = amp_i * prox_i (Q16.16 multiply, rounded back to Q16.16)
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assign vec_y = (amp_i * prox_i) >>> 16;
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endmodule
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```
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Redefine prox_i as: adjacent-ratio proximity, parity resonance, phase classifier hint, or codon-window interaction term. Remains linear contribution source into PhaseVec.
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### 5.4 Q16.16 Norm Approximation (Octagonal)
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```verilog
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module q16_norm_approx (
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input q16_16_t x,
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input q16_16_t y,
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output q16_16_t kappa
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);
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q16_16_t ax, ay, hi, lo;
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q16_16_t lo_3_8;
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assign ax = (x[31]) ? -x : x;
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assign ay = (y[31]) ? -y : y;
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assign hi = (ax > ay) ? ax : ay;
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assign lo = (ax > ay) ? ay : ax;
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// 3/8 = 0x00006000 in Q16.16
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assign lo_3_8 = (lo * 32'sh00006000) >>> 16;
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assign kappa = hi + lo_3_8;
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endmodule
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```
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Approximation: κ ≈ max(|x|, |y|) + (3/8)·min(|x|, |y|)
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Stable, cheap, synthesizable.
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### 5.5 Q16.16 Safe atan2
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```verilog
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module q16_atan2_safe (
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input q16_16_t y,
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input q16_16_t x,
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output q16_16_t phi
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);
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localparam q16_16_t Q_ZERO = 32'sh00000000;
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localparam q16_16_t Q_ONE = 32'sh00010000;
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localparam q16_16_t Q_PI_4 = 32'sh0000C910;
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localparam q16_16_t Q_PI_2 = 32'sh00019220;
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localparam q16_16_t Q_PI = 32'sh00032440;
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localparam q16_16_t Q_ATAN_C = 32'sh000045E3;
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q16_16_t ax, ay, r, theta, one_minus_r, corr;
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logic x_pos, y_pos, ay_le_ax;
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assign ax = x[31] ? -x : x;
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assign ay = y[31] ? -y : y;
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assign x_pos = ~x[31];
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assign y_pos = ~y[31];
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assign ay_le_ax = (ay <= ax);
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always_comb begin
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if (x == 0 && y == 0) begin
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phi = Q_ZERO;
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end else if (ay_le_ax) begin
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r = (ax == 0) ? Q_ZERO : ((ay <<< 16) / ax);
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one_minus_r = Q_ONE - r;
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corr = (Q_ATAN_C * ((r * one_minus_r) >>> 16)) >>> 16;
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theta = ((Q_PI_4 * r) >>> 16) + corr;
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if (x_pos && y_pos) phi = theta;
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else if (x_pos && !y_pos) phi = -theta;
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else if (!x_pos && y_pos) phi = Q_PI - theta;
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else phi = theta - Q_PI;
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end else begin
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r = (ay == 0) ? Q_ZERO : ((ax <<< 16) / ay);
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one_minus_r = Q_ONE - r;
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corr = (Q_ATAN_C * ((r * one_minus_r) >>> 16)) >>> 16;
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theta = Q_PI_2 - (((Q_PI_4 * r) >>> 16) + corr);
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if (x_pos && y_pos) phi = theta;
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else if (!x_pos && y_pos) phi = Q_PI - theta;
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else if (x_pos && !y_pos) phi = -theta;
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else phi = theta - Q_PI;
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end
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end
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endmodule
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```
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Total phase output with singularity resolution: (x, y) = (0, 0) ⇒ ϕ = 0
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### 5.6 Final AMMR Projection Block
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```verilog
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module ammr_project (
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input phase_vec_t acc,
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output q16_16_t kappa,
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output q16_16_t phi
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);
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q16_norm_approx norm_u (
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.x(acc.x),
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.y(acc.y),
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.kappa(kappa)
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);
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q16_atan2_safe atan_u (
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.x(acc.x),
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.y(acc.y),
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.phi(phi)
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);
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endmodule
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```
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---
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## 6. Revised Output Interface
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Replace old outputs (phase_out, phi_corr_out) with:
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| Signal | Type | Description |
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|--------|------|-------------|
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| phase_class_out | logic [1:0] | 2-bit classification |
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| kappa_out | q16_16_t | magnitude ‖z_ϕ‖ |
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| phi_out | q16_16_t | phase angle atan2(z_y, z_x) |
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| phi_corr_compat_out | q16_16_t | Optional: backward-compatible scalar |
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Classification rule:
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```verilog
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GROUNDED if κ ≥ τ_g
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SEISMIC if κ ≥ τ_s
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```
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---
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## 7. Architectural Statement
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> The Warden Node implements corrected AMMR semantics. Each extracted mode contributes a deterministic Q16.16 phase vector Φᵢ ∈ ℝ². The FPGA accumulates these vectors linearly across the attestation window: z_ϕ = Σᵢ Φᵢ. Only after accumulation completes does the node compute the derived nonlinear observables: κ = ‖z_ϕ‖, ϕ = atan2(z_y, z_x). This makes merging associative, commutative, parallelizable, and fully deterministic. The singularity at the zero vector is resolved by defining ϕ = 0 whenever z_ϕ = (0, 0).
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### MIMO Carrier Statement
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> The signal carriers are modeled as a MIMO transport layer. Audio, video, caption, and timing carriers each transport a projection of the same latent vector state. Each carrier contributes a local phase vector, and the receiver fuses them linearly: z_ϕ = Φ⁽ᵃ⁾ + Φ⁽ᵛ⁾ + Φ⁽ᶜ⁾ + Φ⁽ᵗ⁾. Final phase and magnitude are derived only after cross-carrier fusion. This prevents non-associative phase composition and allows carrier redundancy, selective adaptation, and parallel recombination.
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---
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## 8. Target Hardware
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### Primary: Lattice iCE40 HX8K (ECP5 for expansion)
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| Resource | Required | HX8K Budget | Utilisation |
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|----------|----------|-------------|-------------|
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| LUT cells (logic) | ~250 (N_MODES=14) | 7,680 | 3.3% |
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| LUTRAM cells (void mask) | 512 bits | 8KB | 6.3% |
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| Flip-flops | ~100 (accum + atan2 pipeline) | 7,680 | 1.3% |
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| Block RAM | 0 | 128KB | 0% |
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| DSP slices | 0 (intentional) | 8 | 0% |
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**Target clock:** 50 MHz (20ns/cycle)
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**Latency:**
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- Accumulation: N_MODES × 1 cycle = 14 cycles
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- Final projection (norm + atan2): 4 cycles (pipelined)
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- Total: ~18 cycles = **360ns**
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**Throughput:** **2.78M attestations/second** (improved from 3.57M due to final projection overhead)
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**Performance win:** Linear accumulation in inner loop vs. nonlinear per-mode composition.
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---
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## 9. Files
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| File | Role |
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|------|------|
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| `scripts/soliton_factory.py` | Software reference (AMMR update needed) |
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| `tests/t1_condition_a_baseline.py` | Calibrate baseline before AMMR change |
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| `tests/t2_phase3_rotation.py` | Validate rotation criteria with PhaseVec |
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| `docs/roadmap/FPGA_WARDEN_NODE_SPEC.md` | This document (DAG 741-R2) |
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| `hardware/warden_ammr.v` | Verilog: PhaseVec accumulator |
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| `hardware/phi_address_gen.v` | Verilog: φ-accumulator address generator |
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| `hardware/q16_norm_approx.v` | Verilog: Octagonal norm approximation |
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| `hardware/q16_atan2_safe.v` | Verilog: Safe atan2 with zero handling |
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| `hardware/ammr_project.v` | Verilog: Final projection block |
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| `hardware/mode_to_phasevec.v` | Verilog: Mode contribution mapper |
|
||
| `hardware/void_mask_gen.py` | Void-and-cluster mask generation |
|
||
|
||
---
|
||
|
||
## 10. Unified Architecture Integration
|
||
|
||
This specification integrates with the unified Research Stack architecture:
|
||
|
||
### 10.1 Architecture Stack
|
||
|
||
| Component | Role | FPGA Implementation |
|
||
|-----------|------|---------------------|
|
||
| **Entropy Phase Engine** | 6.5σ detection, pruning | DAG-LUT extraction (`fpgaPruneStep`) |
|
||
| **MORE FAMM** | Nanokernel isolation | BRAM segments + capability logic |
|
||
| **TSM** | Thermal control | Clock gating via `heatsink_halt` |
|
||
| **GCL/Diff** | Evolution | Genetic code in BRAM segments |
|
||
| **ENE** | Topological state | Google Drive sync via Rclone |
|
||
|
||
### 10.2 Pruning as Coarse-Graining
|
||
|
||
The AMMR PhaseVec accumulator uses **coordinate banning** (pruning) to reduce complexity:
|
||
|
||
1. **Accumulation phase**: Linear PhaseVec accumulation (not O(N²))
|
||
2. **Projection phase**: Void-and-cluster masking (pruning invalid modes)
|
||
3. **Result**: O(N_MODES) complexity instead of O(N²)
|
||
|
||
This is the same principle as the Entropy Phase Engine's `pruneStep`: ban coordinates that provably cannot contribute.
|
||
|
||
### 10.3 Nanokernel Memory Segments
|
||
|
||
The Warden node uses MORE FAMM nanokernel for isolation:
|
||
|
||
```verilog
|
||
// Segment 0: AMMR PhaseVec accumulator (Builder ADD)
|
||
// Segment 1: stark_trace validation (Warden SUBTRACT)
|
||
// Segment 2: thermal guard state (Judge PAUSE)
|
||
// Segment 3: GCL evolution scratchpad
|
||
```
|
||
|
||
**Capability-based access**: Each segment requires valid `Capability` token for access. Page fault = thermal violation or Byzantine attempt.
|
||
|
||
### 10.4 Safety Theorem Chain
|
||
|
||
1. `nanokernel_isolation` → AMMR accumulator cannot corrupt validation trace
|
||
2. `anti_puppy_box_theorem` → Only relevant modes accumulate (pruned modes banned)
|
||
3. `fpga_extraction_correctness` → Hardware maintains bit-exact formal extraction guarantees
|
||
|
||
### 10.5 Self-Healing Property
|
||
|
||
The Warden node improves via GCL evolution while maintaining safety:
|
||
|
||
- **Builder** evolves AMMR parameters in isolated segment
|
||
- **Warden** validates PhaseVec rotation via `stark_trace`
|
||
- **Judge** detects thermal stress, triggers PAUSE before hardware damage
|
||
- **Diff** propagates successful mutations to ENE topological surface
|
||
- **MORE FAMM** prevents evolution from corrupting validation
|
||
|
||
---
|
||
|
||
**Attestation Hash:** SHA256(AMMR + MIMO + PhaseVec)
|
||
**Registry Entry:** `pkg/fpga-warden-ammr/v2.0`
|
||
**Tier:** CRYSTALLINE
|