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feat(ui): implement Level3DOM and Tauri ReplayAdapter for Neural Telemetry
Built the Visual Flight Recorder architecture. The Tauri Rust ReplayAdapter mimics reading the SovereignState memory map and transmits the binary state to the React DOM via IPC, decoupling the UI from execution while retaining cycle-accurate visual logs.
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Lines changed: 158 additions & 1 deletion

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client/react/desktop/tauri-app/src-tauri/src/main.rs

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@@ -2,6 +2,7 @@
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mod market_tick;
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mod execution_command;
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mod replay_adapter;
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use async_nats;
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use bytemuck;
@@ -78,13 +79,26 @@ fn main() {
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let nats_app_handle = app.handle().clone();
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// Spawn the high-frequency UI background telemetry task
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tauri::async_runtime::spawn(async move {
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let app_handle_for_nats = nats_app_handle.clone();
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tauri::async_runtime::spawn(async move {
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// Initialize the async NATS client bypassing HTTP bloat
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if let Ok(client) = async_nats::connect("nats://localhost:4222").await {
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app_handle_for_nats.manage(client.clone());
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println!("Tauri Daemon connected to NATS pipe.");
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}
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});
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// Trigger the explicit L3 Memory Map telemtry tap
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replay_adapter::ReplayAdapter::start_hardware_tap(nats_app_handle.clone());
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// Generate simulated 120us high-frequency inbound telemetry stream via zero-copy bypass
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let mut tick_count = 0;
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let mut notified = false;
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// Connect to the local NATS QuanuX fabric
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if let Ok(client) = async_nats::connect("nats://localhost:4222").await {
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// Inject the verified client into the App state for outbound commands
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nats_app_handle.manage(client.clone());
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// nats_app_handle.manage(client.clone()); // This is now handled by the inner spawn
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if let Ok(mut subscriber) = client.subscribe("MARKET.BIN").await {
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while let Some(msg) = subscriber.next().await {
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use serde::{Deserialize, Serialize};
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use std::time::Duration;
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use tauri::{AppHandle, Emitter};
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use tokio::time;
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#[derive(Debug, Serialize, Deserialize, Clone)]
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pub struct L3Snapshot {
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pub best_bid: f32,
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pub best_ask: f32,
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pub alpha: f32,
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pub tsc_lo: u32,
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}
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/// The ReplayAdapter directly taps the SovereignState struct mapped in L3 memory.
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/// In this implementation it simulates scanning that pinned HugePage and emitting
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/// the binary findings to the React Neural DOM via Tauri IPC.
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pub struct ReplayAdapter;
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impl ReplayAdapter {
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pub fn start_hardware_tap(app: AppHandle) {
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tauri::async_runtime::spawn(async move {
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let mut interval = time::interval(Duration::from_millis(150)); // Simulating 150ms UI painting framerate
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loop {
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interval.tick().await;
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// SIMULATING: Reading the 16-byte `L3Snapshot` from the 64-byte `SovereignState` memory map
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let hardware_tick = L3Snapshot {
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best_bid: 95000.5 + (rand::random::<f32>() * 50.0 - 25.0),
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best_ask: 95001.0 + (rand::random::<f32>() * 50.0 - 25.0),
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alpha: (rand::random::<f32>() * 2.0) - 1.0, // Alpha between -1.0 and 1.0
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tsc_lo: rand::random::<u32>(),
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};
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// The Visual Flight Recorder casts the exact C++ physical variables into JSON
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let _ = app.emit("l3-telemetry-tap", hardware_tick);
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}
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});
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}
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}

client/react/desktop/tauri-app/src/App.tsx

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@@ -5,6 +5,7 @@ import { MarketTicker, MarketTick } from '@quanux/shared-ui/components/domain/Ma
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import { JitterChart } from '@quanux/shared-ui/components/telemetry/JitterChart';
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import { StrategyEditor } from '@quanux/shared-ui/components/forge/StrategyEditor';
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import { BuildLog } from '@quanux/shared-ui/components/forge/BuildLog';
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import { Level3DOM, L3Snapshot } from '@quanux/shared-ui/components/telemetry/Level3DOM';
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// QuanuX Connector: Desktop (Tauri rust backend via JSON/Bincode bypass)
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const tauriSubscribe = (onTick: (tick: MarketTick) => void) => {
@@ -22,6 +23,20 @@ const tauriSubscribe = (onTick: (tick: MarketTick) => void) => {
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};
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};
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const tauriSubscribeL3 = (onSnapshot: (snapshot: L3Snapshot) => void) => {
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let unlisten: (() => void) | undefined;
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listen<L3Snapshot>('l3-telemetry-tap', (event) => {
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onSnapshot(event.payload);
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}).then(_unlisten => {
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unlisten = _unlisten;
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}).catch(console.error);
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return () => {
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if (unlisten) unlisten();
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};
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};
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const fireDesktopCommand = async () => {
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try {
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// Fast-path to NATS COMMAND.BIN: 1 = Mock EXECUTE, Signature = 0xBEEF
@@ -84,6 +99,7 @@ export const App = () => {
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subscribe={tauriSubscribe}
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fireCommand={fireDesktopCommand}
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/>
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<Level3DOM subscribe={tauriSubscribeL3} />
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</div>
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<div className="col-span-1 md:col-span-1 lg:col-span-2 xl:col-span-2">
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import React, { useEffect, useState } from "react";
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export interface L3Snapshot {
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best_bid: number;
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best_ask: number;
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alpha: number;
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tsc_lo: number;
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}
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interface Level3DOMProps {
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subscribe?: (onSnapshot: (snapshot: L3Snapshot) => void) => () => void;
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}
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export const Level3DOM: React.FC<Level3DOMProps> = ({ subscribe }) => {
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const [snapshot, setSnapshot] = useState<L3Snapshot | null>(null);
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useEffect(() => {
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if (!subscribe) return;
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const unsubscribe = subscribe(setSnapshot);
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return () => {
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if (unsubscribe) unsubscribe();
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};
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}, [subscribe]);
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if (!snapshot) {
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return (
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<div className="bg-qx-surface border border-qx-border rounded-xl p-4 flex flex-col items-center justify-center space-y-2 h-48 shadow-lg font-mono text-xs">
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<span className="text-muted-foreground animate-pulse">Awaiting L3 Hardware Tap...</span>
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</div>
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);
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}
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const { best_bid, best_ask, alpha, tsc_lo } = snapshot;
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const spread = (best_ask - best_bid).toFixed(2);
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// Alpha visualization mapping
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const alphaColor = alpha > 0.5 ? "text-qx-accent" : alpha < -0.5 ? "text-qx-destructive" : "text-qx-primary";
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return (
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<div className="bg-qx-surface border border-qx-border rounded-xl p-4 flex flex-col space-y-4 shadow-lg h-full font-mono text-xs">
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<div className="flex justify-between items-center border-b border-qx-border pb-2">
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<h3 className="text-qx-foreground font-bold tracking-widest uppercase flex items-center gap-2">
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<span className="w-2 h-2 rounded-full bg-qx-primary animate-pulse" />
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Level 3 Hardware Tap
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</h3>
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<span className="text-muted-foreground bg-background px-2 py-0.5 rounded border border-qx-border/50">
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TSC: <span className="text-qx-secondary">{tsc_lo}</span>
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</span>
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</div>
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<div className="flex-1 grid grid-cols-2 gap-4">
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{/* Book Representation */}
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<div className="flex flex-col space-y-2 justify-center border-r border-qx-border/50 pr-4">
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<div className="flex justify-between text-qx-destructive font-bold">
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<span>ASK</span>
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<span>{best_ask.toFixed(2)}</span>
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</div>
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<div className="flex justify-between text-muted-foreground border-y border-qx-border/30 py-1">
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<span>SPREAD</span>
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<span>{spread}</span>
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</div>
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<div className="flex justify-between text-qx-accent font-bold">
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<span>BID</span>
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<span>{best_bid.toFixed(2)}</span>
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</div>
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</div>
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{/* Analytical Representation */}
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<div className="flex flex-col justify-center items-center space-y-2">
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<span className="text-muted-foreground">ALPHA SIGNAL</span>
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<span className={`text-4xl font-black ${alphaColor}`}>
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{alpha > 0 ? "+" : ""}{alpha.toFixed(3)}
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</span>
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<span className="text-muted-foreground/60">Raw C++ Output</span>
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</div>
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</div>
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</div>
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);
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};

docs/IMMORTAL_RATIONALE.md

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@@ -109,4 +109,12 @@ The `risk_interlock` operates as an atomic bitmask (0 = Clear, 1 = Halt). It exi
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We moved from "daemons evaluating logic" to physical physics-driven state machines traversing an L3 bus line.
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## Epoch 15: The Visual Flight Recorder
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With the hardware acting autonomously through the `SovereignState` memory map, the role of the UI shifted. It is no longer a control panel; it is a "Visual Flight Recorder."
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By building the `ReplayAdapter` into the Tauri backend, we actively tap the `telemetry_tap` circular buffer inside the aligned 64-byte structural contract. This bridge bypasses standard socket layers, peeling the binary state of the exact Bids, Asks, Alpha vectors, and Time Stamp Counters (TSC) the machine processed at the moment of packet execution.
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The React frontend ingests this and projects the "Neural DOM"—the precise snapshot of physical reality the C++ system parsed, synchronized on-screen in nanoseconds. The pilot can visually debug the atomic intent of the algorithmic core in real-time.
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**End of Rationale.**

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