(() => {
  'use strict';

  const canvas = document.getElementById('brain');
  const ctx = canvas.getContext('2d', {alpha: false});
  const $ = (id) => document.getElementById(id);
  const GOLDEN = Math.PI * (3 - Math.sqrt(5));
  const CORTEX_PALETTE = [
    [82, 231, 255], [145, 126, 255], [255, 105, 178], [93, 255, 189],
    [255, 180, 82], [75, 143, 255], [196, 117, 255], [255, 102, 92],
    [135, 231, 105], [78, 207, 224], [235, 215, 98], [151, 205, 255]
  ];
  const MODE_CONFIG = {
    living: {label: 'LIVING', detail: 'ruhige Eigenaktivität', className: 'living', color: [82, 231, 255], duration: 0},
    thinking: {label: 'AI-THINK', detail: 'verknüpft und bewertet', className: 'thinking', color: [255, 180, 82], duration: 10500},
    researching: {label: 'RESEARCH', detail: 'klärt Unsicherheiten', className: 'researching', color: [93, 255, 189], duration: 11500},
    processing: {label: 'PROCESSING', detail: 'Agent- und Wissenssuche', className: 'processing', color: [183, 117, 255], duration: 7800},
    learning: {label: 'LEARNING', detail: 'indexiert bei stabiler Ansicht', className: 'learning', color: [75, 123, 255], duration: 6500}
  };
  const LOD_CONFIG = {
    localDistance: 0.085,
    coarseDistance: 0.23,
    localMaxMembers: 24,
    coarseMaxChildren: 18,
    revealNodeMS: 30000,
    revealParentMS: 42000,
    rebuildThrottleMS: 120
  };
  const TRANSITION_CONFIG = {
    enterMS: 720,
    exitMS: 680,
    moveMS: 620,
    viewMS: 760
  };
  const PERFORMANCE_CONFIG = {
    normal: {dpr: 2, minFrameMS: 0, idleEdges: 4200, particles: 900, clouds: 40, stars: 90, researchSources: 7},
    eco: {dpr: 1.15, minFrameMS: 33, idleEdges: 850, particles: 220, clouds: 14, stars: 28, researchSources: 4}
  };

  const state = {
    nodes: [], edges: [], clusters: [], clusterByKey: new Map(), nodeById: new Map(), edgeById: new Map(), adjacency: new Map(),
    active: new Map(), edgeActive: new Map(), particles: [], waves: [], pulses: 0,
    yaw: 0.18, pitch: -0.12, zoom: 1.02, autoRotate: true, labels: true, edgesVisible: true, cortexVisible: true,
    dragging: false, moved: false, lastX: 0, lastY: 0, hover: null, selected: null, projected: [],
    width: innerWidth, height: innerHeight, dpr: Math.min(devicePixelRatio || 1, 2), last: performance.now(),
    lastLogFingerprint: new Map(), recentImportant: [], clusterActive: new Map(),
    mode: 'living', modeUntil: 0, activityEnergy: 0, targetEnergy: 0, focusClusterKey: '', focusNodeID: '',
    cameraTargetYaw: null, cameraTargetPitch: null, zoomTarget: 1.02, nextAmbientAt: performance.now() + 1800,
    ambientCursor: 0, bursts: [], brainStatus: null,
    lodEnabled: true, lodLeaves: [], lodCoarse: [], lodGroupById: new Map(), lodLeafByNode: new Map(), lodCoarseByNode: new Map(),
    lodOpenUntil: new Map(), lodHotUntil: new Map(), lodDirty: true, lodLastBuild: 0, lodNextExpiry: 0, lodZoomBand: 2,
    renderNodes: [], renderEdges: [], renderIdleEdges: [], renderNodeById: new Map(), renderEdgeById: new Map(), visibleForNode: new Map(),
    edgeRenderMap: new Map(), renderActive: new Map(), renderEdgeActive: new Map(), renderStats: {nodes: 0, edges: 0, hiddenNodes: 0, hiddenEdges: 0},
    fullSnapshot: null, fullNodeById: new Map(), runtimeSettings: {source_filter_version: 1, learning_enabled: true, thinking_enabled: true, learning_sources: [], display_sources: [], thinking_sources: [], glpi_kb_source: '', view_mode: 'neural', max_display_nodes: 0, low_power_mode: false, processing_mode: 'precise', autonomous_research_enabled: false, autonomous_research_idle_only: true, autonomous_research_min_priority: 0.65, autonomous_research_max_tasks_per_day: 12, autonomous_research_tasks_per_cycle: 1},
    availableSources: [], viewMode: 'neural', honeycombNodes: [], honeycombSpacing: 0, honeySlotByID: new Map(), honeyPointPool: [], honeyFreeSlots: [],
    constellationNodes: [], constellationLinks: [], settingsOpen: false, settingsDraft: null,
    forcedDisplayUntil: new Map(), nextDisplayLimitExpiry: 0, graphVersion: null, displaySignature: '', displayLimitStats: {limit: 0, eligible: 0, shown: 0},
    researchAnimations: new Map(), researchSequence: 0,
    lowPowerMode: false, performanceProfile: PERFORMANCE_CONFIG.normal, lastPaint: 0, fpsWindowStarted: performance.now(), fpsFrames: 0, fps: 0,
    backgroundCanvas: document.createElement('canvas'), backgroundKey: '', cameraFrame: null, projectedSortAt: 0,
    retiringRenderNodes: [], retiringRenderEdges: [], retiringRenderNodeById: new Map(), viewGhostNodes: [],
    topologyNodeIDs: new Set(), topologyEdgeIDs: new Set(), graphLoadPromise: null, graphLoadQueued: false, graphLoadTimer: 0, sourceOptionsTimer: 0, autonomousTasks: [], autonomousTaskStatus: {}, autonomousTasksTimer: 0
  };

  function currentPerformanceProfile() {
    return state.lowPowerMode ? PERFORMANCE_CONFIG.eco : PERFORMANCE_CONFIG.normal;
  }

  function rebuildBackgroundCache() {
    const bg = state.backgroundCanvas;
    const profile = currentPerformanceProfile();
    const key = `${state.width}:${state.height}:${profile.stars}`;
    if (state.backgroundKey === key && bg.width && bg.height) return;
    state.backgroundKey = key;
    bg.width = Math.max(1, Math.floor(state.width));
    bg.height = Math.max(1, Math.floor(state.height));
    const bctx = bg.getContext('2d', {alpha: false});
    const g = bctx.createRadialGradient(state.width * 0.56, state.height * 0.48, 24, state.width * 0.56, state.height * 0.48, Math.max(state.width, state.height) * 0.8);
    g.addColorStop(0, '#071827');
    g.addColorStop(0.52, '#020711');
    g.addColorStop(1, '#010207');
    bctx.fillStyle = g;
    bctx.fillRect(0, 0, state.width, state.height);
    bctx.globalAlpha = state.lowPowerMode ? 0.12 : 0.16;
    for (let i = 0; i < profile.stars; i++) {
      const x = pseudo(`background:${i}`, 1) * state.width;
      const y = pseudo(`background:${i}`, 2) * state.height;
      bctx.fillStyle = i % 9 === 0 ? '#52e7ff' : '#5d7890';
      const size = i % 11 === 0 ? 1.5 : 0.8;
      bctx.fillRect(x, y, size, size);
    }
    bctx.globalAlpha = 1;
  }

  function applyPerformanceMode(enabled, resizeCanvas = true) {
    state.lowPowerMode = Boolean(enabled);
    state.runtimeSettings.low_power_mode = state.lowPowerMode;
    state.performanceProfile = currentPerformanceProfile();
    document.body.classList.toggle('low-power', state.lowPowerMode);
    const eco = $('toggleEco');
    if (eco) {
      eco.classList.toggle('active', state.lowPowerMode);
      eco.title = state.lowPowerMode ? 'Eco-Modus aktiv · 30 FPS und reduzierte Effektkosten' : 'Optimierter Renderpfad für schwächere Systeme';
    }
    if ($('settingsLowPower')) $('settingsLowPower').checked = Boolean((state.settingsOpen && state.settingsDraft ? state.settingsDraft : state.runtimeSettings).low_power_mode);
    state.backgroundKey = '';
    state.projectedSortAt = 0;
    if (state.particles.length > state.performanceProfile.particles) {
      state.particles.splice(0, state.particles.length - state.performanceProfile.particles);
    }
    if (state.clusters.length) buildConstellationLinks();
    if (state.viewMode === 'neural') state.lodDirty = true;
    if (resizeCanvas) resize();
  }

  function resize() {
    state.width = innerWidth;
    state.height = innerHeight;
    const profile = currentPerformanceProfile();
    state.dpr = Math.min(devicePixelRatio || 1, profile.dpr);
    canvas.width = Math.floor(state.width * state.dpr);
    canvas.height = Math.floor(state.height * state.dpr);
    canvas.style.width = state.width + 'px';
    canvas.style.height = state.height + 'px';
    ctx.setTransform(state.dpr, 0, 0, state.dpr, 0, 0);
    state.backgroundKey = '';
    rebuildBackgroundCache();
  }
  addEventListener('resize', resize);
  resize();

  async function api(path, options = {}) {
    const res = await fetch(path, {headers: {'Content-Type': 'application/json', ...(options.headers || {})}, ...options});
    const data = await res.json().catch(() => ({}));
    if (!res.ok) {
      const error = new Error(data.error || `HTTP ${res.status}`);
      error.status = res.status;
      error.data = data;
      throw error;
    }
    return data;
  }

  function normalizedSourceValues(values) {
    return [...new Set((values || []).map(value => String(value).trim()).filter(Boolean))];
  }

  // Source filtering intentionally uses only the explicit metadata.source value
  // copied from a KB file (or assigned to learned web evidence). No origin,
  // category, URI or display-label fallback is used.
  function nodeSource(node) {
    const explicit = node?.metadata?.source;
    if (explicit === undefined || explicit === null) return '';
    const value = String(explicit).trim();
    if (!value || value.toLowerCase() === '<nil>' || value.toLowerCase() === 'null') return '';
    return value;
  }

  function sourceFilterMatches(node, sources) {
    const wanted = normalizedSourceValues(sources);
    if (!wanted.length) return true;
    const source = nodeSource(node);
    return wanted.some(value => source === value);
  }

  function runtimeSources(key, settings = state.runtimeSettings) {
    return normalizedSourceValues(settings?.[`${key}_sources`] || []);
  }

  function activeForcedDisplayIDs(now = Date.now()) {
    const active = new Set();
    let next = 0;
    for (const [id, until] of state.forcedDisplayUntil) {
      if (until <= now) {
        state.forcedDisplayUntil.delete(id);
        continue;
      }
      active.add(id);
      if (!next || until < next) next = until;
    }
    state.nextDisplayLimitExpiry = next;
    return active;
  }

  function nodeLimitScore(node, degree, forced) {
    if (forced.has(node.id)) return 1e12 + degree;
    let score = Math.min(5000, degree * 8) + Math.min(100, Number(node.weight || 1) * 4);
    if (node.kind === 'knowledge') score += 120;
    if (node.kind === 'ai-think') score += 230;
    if (node.status === 'staging') score += 180;
    if (node.kind === 'external') score += 105;
    if (node.kind === 'category') score += 45;
    if (node.kind === 'source') score += 30;
    if (state.active.has(node.id)) score += 500000;
    if (state.selected?.id === node.id || state.hover?.id === node.id) score += 750000;
    return score + pseudo(node.id, 71) * 5;
  }

  function limitSnapshot(snapshot, rawLimit) {
    const limit = Math.max(0, Math.min(500000, Math.trunc(Number(rawLimit) || 0)));
    const eligible = snapshot.nodes.length;
    if (!limit || eligible <= limit) {
      state.displayLimitStats = {limit, eligible, shown: eligible};
      return snapshot;
    }

    const forced = activeForcedDisplayIDs();
    const degree = new Map(snapshot.nodes.map(node => [node.id, 0]));
    for (const edge of snapshot.edges) {
      degree.set(edge.source, (degree.get(edge.source) || 0) + 1);
      degree.set(edge.target, (degree.get(edge.target) || 0) + 1);
    }

    const selected = new Set();
    const buckets = new Map();
    const candidates = snapshot.nodes.map(node => ({node, score: nodeLimitScore(node, degree.get(node.id) || 0, forced)}));
    candidates.sort((a, b) => b.score - a.score || a.node.id.localeCompare(b.node.id));

    for (const candidate of candidates) {
      if (!forced.has(candidate.node.id) || selected.size >= limit) continue;
      selected.add(candidate.node.id);
    }

    for (const candidate of candidates) {
      if (selected.has(candidate.node.id)) continue;
      const key = categoryKey(candidate.node) || 'Sonstige';
      if (!buckets.has(key)) buckets.set(key, []);
      buckets.get(key).push(candidate);
    }

    const bucketList = [...buckets.values()].sort((a, b) => (b[0]?.score || 0) - (a[0]?.score || 0));
    for (const bucket of bucketList) {
      if (selected.size >= limit || !bucket.length) break;
      selected.add(bucket.shift().node.id);
    }

    const remainder = [];
    for (const bucket of bucketList) remainder.push(...bucket);
    remainder.sort((a, b) => b.score - a.score || a.node.id.localeCompare(b.node.id));
    for (const candidate of remainder) {
      if (selected.size >= limit) break;
      selected.add(candidate.node.id);
    }

    const nodes = snapshot.nodes.filter(node => selected.has(node.id));
    const edges = snapshot.edges.filter(edge => selected.has(edge.source) && selected.has(edge.target));
    state.displayLimitStats = {limit, eligible, shown: nodes.length};
    return {...snapshot, nodes, edges};
  }

  function filteredSnapshot(snapshot) {
    const sources = runtimeSources('display');
    let filtered = snapshot;
    if (sources.length) {
      const visible = new Set();
      const noteKinds = new Set(['knowledge', 'ai-think', 'external']);
      const taxonomyKinds = new Set(['category', 'source', 'concept']);
      const nodeMap = new Map(snapshot.nodes.map(node => [node.id, node]));
      for (const node of snapshot.nodes) {
        if (noteKinds.has(node.kind) && sourceFilterMatches(node, sources)) visible.add(node.id);
      }
      // Taxonomy is visual context only. Another knowledge-bearing node is
      // never pulled through an edge when its exact source does not match.
      for (const edge of snapshot.edges) {
        const source = nodeMap.get(edge.source);
        const target = nodeMap.get(edge.target);
        if (visible.has(edge.source) && target && taxonomyKinds.has(target.kind)) visible.add(edge.target);
        if (visible.has(edge.target) && source && taxonomyKinds.has(source.kind)) visible.add(edge.source);
      }
      filtered = {
        ...snapshot,
        nodes: snapshot.nodes.filter(node => visible.has(node.id)),
        edges: snapshot.edges.filter(edge => visible.has(edge.source) && visible.has(edge.target))
      };
    }
    return limitSnapshot(filtered, state.runtimeSettings.max_display_nodes);
  }

  function displaySignatureFor(settings = state.runtimeSettings) {
    return {sources: runtimeSources('display', settings), limit: Number(settings.max_display_nodes || 0)};
  }

  function currentDisplaySignature() {
    const forced = [...activeForcedDisplayIDs()].sort();
    return JSON.stringify({...displaySignatureFor(), forced});
  }

  async function loadSourceOptions() {
    const payload = await api('/api/sources');
    state.availableSources = payload.sources || [];
    renderSourceFilters($('sourceSearch')?.value || '');
    return state.availableSources;
  }

  function scheduleSourceOptionsLoad(delay = 260) {
    clearTimeout(state.sourceOptionsTimer);
    state.sourceOptionsTimer = setTimeout(() => {
      state.sourceOptionsTimer = 0;
      loadSourceOptions().catch(() => {});
    }, delay);
  }

  async function loadRuntimeConfiguration() {
    try {
      const [settings] = await Promise.all([api('/api/runtime-settings'), loadSourceOptions()]);
      state.runtimeSettings = {...state.runtimeSettings, ...settings};
      state.viewMode = ['neural', 'honeycomb', 'constellation'].includes(state.runtimeSettings.view_mode) ? state.runtimeSettings.view_mode : 'neural';
      applyPerformanceMode(Boolean(state.runtimeSettings.low_power_mode), true);
      syncRuntimeControls();
      renderSourceFilters();
      renderFilterScopeSummary();
    } catch {
      syncRuntimeControls();
    }
  }

  function syncRuntimeControls() {
    const learning = Boolean(state.runtimeSettings.learning_enabled);
    const thinking = Boolean(state.runtimeSettings.thinking_enabled);
    const panelSettings = state.settingsOpen && state.settingsDraft ? state.settingsDraft : state.runtimeSettings;
    const learningButton = $('toggleLearning');
    const thinkingButton = $('toggleThinking');
    if (learningButton) learningButton.classList.toggle('active', learning);
    if (thinkingButton) thinkingButton.classList.toggle('active', thinking);
    if ($('settingsLearning')) $('settingsLearning').checked = Boolean(panelSettings.learning_enabled);
    if ($('settingsThinking')) $('settingsThinking').checked = Boolean(panelSettings.thinking_enabled);
    if ($('settingsViewNeural')) $('settingsViewNeural').classList.toggle('active', panelSettings.view_mode === 'neural');
    if ($('settingsViewHoneycomb')) $('settingsViewHoneycomb').classList.toggle('active', panelSettings.view_mode === 'honeycomb');
    if ($('settingsViewConstellation')) $('settingsViewConstellation').classList.toggle('active', panelSettings.view_mode === 'constellation');
    if ($('settingsLowPower')) $('settingsLowPower').checked = Boolean(panelSettings.low_power_mode);
    if ($('settingsProcessingPrecise')) $('settingsProcessingPrecise').classList.toggle('active', panelSettings.processing_mode !== 'clustered');
    if ($('settingsProcessingClustered')) $('settingsProcessingClustered').classList.toggle('active', panelSettings.processing_mode === 'clustered');
    if ($('processingModeHint')) $('processingModeHint').textContent = panelSettings.processing_mode === 'clustered' ? 'Cluster/Fast: Semantic Hashing ersetzt den Vollscan; nur Top-K-Kandidaten erhalten exakte Cosine-Bewertungen. Der Artikelreview nutzt einen kompakten, priorisierten Evidenzsatz.' : 'Präzise: vollständige Cosine-Suche über jeden Anchor und den gesamten gefilterten Wissensraum.';
    if ($('settingsMaxDisplayNodes')) $('settingsMaxDisplayNodes').value = String(Math.max(0, Number(panelSettings.max_display_nodes || 0)));
    if ($('settingsAutonomousResearch')) $('settingsAutonomousResearch').checked = Boolean(panelSettings.autonomous_research_enabled);
    if ($('settingsAutonomousIdleOnly')) $('settingsAutonomousIdleOnly').checked = panelSettings.autonomous_research_idle_only !== false;
    if ($('settingsAutonomousMinPriority')) $('settingsAutonomousMinPriority').value = String(Math.max(0, Math.min(1, Number(panelSettings.autonomous_research_min_priority ?? 0.65))));
    if ($('settingsAutonomousMaxPerDay')) $('settingsAutonomousMaxPerDay').value = String(Math.max(1, Number(panelSettings.autonomous_research_max_tasks_per_day || 12)));
    if ($('settingsAutonomousPerCycle')) $('settingsAutonomousPerCycle').value = String(Math.max(1, Number(panelSettings.autonomous_research_tasks_per_cycle || 1)));
    updateDisplayLimitHint(panelSettings.max_display_nodes);
    const enrichButton = $('enrichNow');
    if (enrichButton && !state.brainStatus?.enrich_running) enrichButton.disabled = !thinking;
    if (!learning && !thinking) setVisualMode('living');
    updateViewButtons();
  }

  function updateDisplayLimitHint(value = state.runtimeSettings.max_display_nodes) {
    const hint = $('displayLimitHint');
    if (!hint) return;
    const limit = Math.max(0, Math.trunc(Number(value) || 0));
    if (!limit) {
      hint.textContent = 'Unbegrenzt · Quellenfilter und LOD bestimmen die Renderlast.';
      return;
    }
    const stats = state.displayLimitStats || {};
    const eligible = Number(stats.eligible || state.fullSnapshot?.nodes?.length || 0);
    hint.textContent = `Maximal ${limit.toLocaleString('de-DE')} Nodes · aktuell ${Math.min(limit, eligible).toLocaleString('de-DE')} von ${eligible.toLocaleString('de-DE')} auswählbar.`;
  }

  function sourceLabel(name) {
    return String(name || '');
  }

  function sourceSet(key) {
    const settings = state.settingsDraft || state.runtimeSettings;
    return new Set(normalizedSourceValues(settings[`${key}_sources`] || []));
  }

  function renderSourceFilters(search = '') {
    const query = String(search || '').trim().toLowerCase();
    const settings = state.settingsDraft || state.runtimeSettings;
    const optionMap = new Map((state.availableSources || []).map(option => [String(option.name), {...option}]));
    const configuredGLPI = String(state.runtimeSettings.glpi_kb_source || '').trim();
    if (configuredGLPI && !optionMap.has(configuredGLPI)) optionMap.set(configuredGLPI, {name: configuredGLPI, count: 0});
    for (const key of ['learning', 'display', 'thinking']) {
      for (const source of runtimeSources(key, settings)) {
        if (!optionMap.has(source)) optionMap.set(source, {name: source, count: 0});
      }
    }
    const options = [...optionMap.values()].filter(option => !query || sourceLabel(option.name).toLowerCase().includes(query));
    const targets = {learning: $('learningSourceList'), display: $('displaySourceList'), thinking: $('thinkingSourceList')};
    for (const [key, target] of Object.entries(targets)) {
      if (!target) continue;
      const selected = sourceSet(key);
      target.innerHTML = '';
      for (const option of options) {
        const label = document.createElement('label');
        label.className = 'source-option';
        const checked = selected.has(String(option.name));
        const configured = option.name === state.runtimeSettings.glpi_kb_source && Number(option.count || 0) === 0 ? '<small>GLPI_KB_SOURCE</small>' : '';
        label.innerHTML = `<input type="checkbox" data-source-filter="${key}" value="${escapeHTML(option.name)}" ${checked ? 'checked' : ''}><span>${escapeHTML(sourceLabel(option.name))}<em>${Number(option.count || 0).toLocaleString('de-DE')}</em>${configured}</span>`;
        target.appendChild(label);
      }
      if (!options.length) target.innerHTML = '<span class="empty-filter">Keine passende source gefunden</span>';
    }
  }

  function compactSourceValues(values) {
    if (!values?.length) return 'alle source-Werte';
    const labels = values.slice(0, 3).map(sourceLabel);
    return labels.join(', ') + (values.length > 3 ? ` +${values.length - 3}` : '');
  }

  function renderFilterScopeSummary() {
    const target = $('filterScopeSummary');
    if (!target) return;
    const settings = state.settingsDraft || state.runtimeSettings;
    const parts = [
      `Lernen: ${compactSourceValues(runtimeSources('learning', settings))}`,
      `Anzeige: ${compactSourceValues(runtimeSources('display', settings))}`,
      `Thinking: ${compactSourceValues(runtimeSources('thinking', settings))}`
    ];
    target.textContent = `Exakter KB-source-Treffer — ${parts.join(' | ')}`;
    target.classList.remove('warn');
    target.classList.add('ok');
  }

  async function persistRuntimeSettings(settings = state.runtimeSettings) {
    const normalized = {
      source_filter_version: 1,
      learning_enabled: Boolean(settings.learning_enabled),
      thinking_enabled: Boolean(settings.thinking_enabled),
      learning_sources: normalizedSourceValues(settings.learning_sources),
      display_sources: normalizedSourceValues(settings.display_sources),
      thinking_sources: normalizedSourceValues(settings.thinking_sources),
      view_mode: ['neural', 'honeycomb', 'constellation'].includes(settings.view_mode) ? settings.view_mode : 'neural',
      max_display_nodes: Math.max(0, Math.min(500000, Math.trunc(Number(settings.max_display_nodes) || 0))),
      low_power_mode: Boolean(settings.low_power_mode),
      processing_mode: settings.processing_mode === 'clustered' ? 'clustered' : 'precise',
      autonomous_research_enabled: Boolean(settings.autonomous_research_enabled),
      autonomous_research_idle_only: settings.autonomous_research_idle_only !== false,
      autonomous_research_min_priority: Math.max(0, Math.min(1, Number(settings.autonomous_research_min_priority ?? 0.65))),
      autonomous_research_max_tasks_per_day: Math.max(1, Math.min(500, Math.trunc(Number(settings.autonomous_research_max_tasks_per_day) || 12))),
      autonomous_research_tasks_per_cycle: Math.max(1, Math.min(8, Math.trunc(Number(settings.autonomous_research_tasks_per_cycle) || 1)))
    };
    const previousDisplay = JSON.stringify(displaySignatureFor(state.runtimeSettings));
    const updated = await api('/api/runtime-settings', {method: 'PUT', body: JSON.stringify(normalized)});
    state.runtimeSettings = {...normalized, ...updated};
    const nextViewMode = state.runtimeSettings.view_mode;
    applyPerformanceMode(Boolean(state.runtimeSettings.low_power_mode), true);
    syncRuntimeControls();
    renderFilterScopeSummary();
    applyViewMode(nextViewMode, false);
    if (previousDisplay !== JSON.stringify(displaySignatureFor(state.runtimeSettings))) {
      state.displaySignature = '';
      await loadGraph();
    }
    await loadStatus();
    return state.runtimeSettings;
  }

  function openSettingsPanel() {
    state.settingsOpen = true;
    state.settingsDraft = JSON.parse(JSON.stringify(state.runtimeSettings));
    $('settingsPanel')?.classList.remove('hidden');
    $('settingsBackdrop')?.classList.remove('hidden');
    syncRuntimeControls();
    renderSourceFilters($('sourceSearch')?.value || '');
    renderFilterScopeSummary();
  }

  function closeSettingsPanel() {
    state.settingsOpen = false;
    state.settingsDraft = null;
    $('settingsPanel')?.classList.add('hidden');
    $('settingsBackdrop')?.classList.add('hidden');
  }

  function sameIDSet(previous, items) {
    if (previous.size !== items.length) return false;
    for (const item of items) if (!previous.has(item.id)) return false;
    return true;
  }

  function nodePositionSnapshot(node) {
    return {
      x: Number(node.x || 0), y: Number(node.y || 0), z: Number(node.z || 0),
      neuralX: Number(node.neuralX ?? node.x ?? 0), neuralY: Number(node.neuralY ?? node.y ?? 0), neuralZ: Number(node.neuralZ ?? node.z ?? 0),
      honeyX: node.honeyX, honeyY: node.honeyY, honeyZ: node.honeyZ,
      constellationX: node.constellationX, constellationY: node.constellationY, constellationZ: node.constellationZ,
      clusterKey: node.clusterKey || '', glow: node.glow || 0, clusterColor: node.clusterColor || ''
    };
  }

  function applyGraphSnapshot(snap, force = false) {
    const displaySignature = currentDisplaySignature();
    if (!force && state.fullSnapshot && state.graphVersion === snap.version && state.displaySignature === displaySignature) return false;
    const now = performance.now();
    state.graphVersion = snap.version;
    state.displaySignature = displaySignature;
    state.fullSnapshot = snap;
    state.fullNodeById = new Map(snap.nodes.map(node => [node.id, node]));
    const filtered = filteredSnapshot(snap);
    const old = state.nodeById;
    const oldClusters = state.clusterByKey;
    const previousPositions = new Map();
    for (const [id, node] of old) previousPositions.set(id, nodePositionSnapshot(node));

    const nodeTopologyChanged = !sameIDSet(state.topologyNodeIDs, filtered.nodes);
    const edgeTopologyChanged = !sameIDSet(state.topologyEdgeIDs, filtered.edges);
    const nextNodes = [];
    for (const raw of filtered.nodes) {
      const existing = old.get(raw.id);
      if (existing) {
        const preserved = nodePositionSnapshot(existing);
        Object.assign(existing, raw);
        existing.glow = preserved.glow;
        existing.screen = existing.screen || null;
        existing.clusterKey = preserved.clusterKey;
        existing.clusterColor = preserved.clusterColor;
        existing.neuralX = preserved.neuralX;
        existing.neuralY = preserved.neuralY;
        existing.neuralZ = preserved.neuralZ;
        existing.honeyX = preserved.honeyX;
        existing.honeyY = preserved.honeyY;
        existing.honeyZ = preserved.honeyZ;
        existing.constellationX = preserved.constellationX;
        existing.constellationY = preserved.constellationY;
        existing.constellationZ = preserved.constellationZ;
        existing._fadeOutStart = 0;
        nextNodes.push(existing);
      } else {
        nextNodes.push({...raw, glow: 0, screen: null, clusterKey: '', clusterColor: '', _fadeInStart: now});
      }
    }

    state.nodes = nextNodes;
    state.edges = filtered.edges;
    state.nodeById = new Map(state.nodes.map(node => [node.id, node]));
    state.edgeById = new Map(state.edges.map(edge => [edge.id, edge]));
    state.adjacency = new Map();
    for (const edge of state.edges) {
      if (!state.adjacency.has(edge.source)) state.adjacency.set(edge.source, []);
      if (!state.adjacency.has(edge.target)) state.adjacency.set(edge.target, []);
      state.adjacency.get(edge.source).push(edge);
      state.adjacency.get(edge.target).push(edge);
    }

    if (nodeTopologyChanged || !state.clusters.length) {
      buildLayout(previousPositions, oldClusters);
      for (const node of state.nodes) {
        const previous = previousPositions.get(node.id);
        node.neuralX = node.x;
        node.neuralY = node.y;
        node.neuralZ = node.z;
        if (previous && Math.hypot(node.x - previous.neuralX, node.y - previous.neuralY, node.z - previous.neuralZ) > 0.004) {
          node.transitionFrom = {x: previous.neuralX, y: previous.neuralY, z: previous.neuralZ};
          node.transitionStart = now;
        }
      }
      buildHoneycombLayout();
      buildConstellationLayout();
      buildLODHierarchy();
    } else if (edgeTopologyChanged) {
      refreshClusterLinks();
      buildConstellationLinks();
      state.lodDirty = true;
    }

    state.topologyNodeIDs = new Set(state.nodes.map(node => node.id));
    state.topologyEdgeIDs = new Set(state.edges.map(edge => edge.id));
    applyViewMode(state.runtimeSettings.view_mode || state.viewMode, false);
    $('nodeCount').textContent = state.nodes.length.toLocaleString('de-DE');
    const limit = Number(state.runtimeSettings.max_display_nodes || 0);
    const capText = limit ? ` · GPU-Limit ${limit.toLocaleString('de-DE')}` : '';
    $('nodeCount').parentElement.title = `${state.nodes.length.toLocaleString('de-DE')} angezeigt · ${snap.nodes.length.toLocaleString('de-DE')} insgesamt${capText}`;
    $('edgeCount').textContent = state.edges.length.toLocaleString('de-DE');
    updateDisplayLimitHint(limit);
    return true;
  }

  async function loadGraph() {
    if (state.graphLoadPromise) {
      state.graphLoadQueued = true;
      return state.graphLoadPromise;
    }
    state.graphLoadPromise = (async () => {
      try {
        const snap = await api('/api/graph');
        applyGraphSnapshot(snap, false);
      } catch {
        setSystem('offline', false);
      } finally {
        state.graphLoadPromise = null;
        if (state.graphLoadQueued) {
          state.graphLoadQueued = false;
          scheduleGraphLoad(160);
        }
      }
    })();
    return state.graphLoadPromise;
  }

  function scheduleGraphLoad(delay = 120) {
    clearTimeout(state.graphLoadTimer);
    state.graphLoadTimer = setTimeout(() => {
      state.graphLoadTimer = 0;
      loadGraph();
    }, delay);
  }

  function forceDisplayNodes(ids, duration = 36000) {
    const limit = Number(state.runtimeSettings.max_display_nodes || 0);
    if (!limit || !state.fullSnapshot || !ids?.length) return false;
    const known = state.fullNodeById;
    const now = Date.now();
    let changed = false;
    for (const id of ids) {
      if (!known.has(id)) continue;
      const until = now + duration;
      if ((state.forcedDisplayUntil.get(id) || 0) < until) state.forcedDisplayUntil.set(id, until);
      if (!state.nodeById.has(id)) changed = true;
    }
    activeForcedDisplayIDs(now);
    if (changed) applyGraphSnapshot(state.fullSnapshot, true);
    return changed;
  }

  function expireForcedDisplayNodes() {
    if (!state.nextDisplayLimitExpiry || Date.now() < state.nextDisplayLimitExpiry) return;
    const before = state.forcedDisplayUntil.size;
    activeForcedDisplayIDs();
    if (before !== state.forcedDisplayUntil.size && state.fullSnapshot) applyGraphSnapshot(state.fullSnapshot, true);
  }

  function setSystem(text, ok = true) {
    $('systemState').lastChild.textContent = ' ' + text;
    $('systemState').style.color = ok ? 'var(--green)' : 'var(--red)';
  }

  async function loadStatus() {
    try {
      const status = await api('/api/status');
      state.brainStatus = status;
      if (status.runtime_settings) {
        state.runtimeSettings = {...state.runtimeSettings, ...status.runtime_settings};
        syncRuntimeControls();
      }
      renderAutonomyStatus(status);
      renderResearchStatus(status.searxng || {configured: Boolean(status.research_enabled)});
      renderAutonomousResearchStatus(status.autonomous_research || {});
      scheduleAutonomousTasksLoad();
    } catch {
      renderAutonomyStatus({ollama_ok: false, auto_enrich: false, enrich_error: 'Status nicht erreichbar'});
    }
  }

  function renderResearchStatus(status = {}) {
    const box = $('researchStatus');
    const badge = $('researchStatusBadge');
    if (!box || !badge) return;
    const configured = Boolean(status.configured);
    const checked = Boolean(status.checked_at);
    const ok = Boolean(status.ok);
    const endpoint = status.base_url || 'SEARXNG_URL nicht gesetzt';
    box.className = `research-status ${checked ? (ok ? 'ok' : 'failed') : ''}`;
    if (!configured) {
      badge.textContent = 'deaktiviert';
      box.innerHTML = `<strong>Nicht konfiguriert</strong>${escapeHTML(status.error || 'BRAIN_RESEARCH_ENABLED und SEARXNG_URL prüfen.')}`;
      return;
    }
    if (status.error_kind === 'disabled') {
      badge.textContent = 'deaktiviert';
      box.innerHTML = `<strong>${escapeHTML(endpoint)}</strong>${escapeHTML(status.error || 'BRAIN_RESEARCH_ENABLED ist deaktiviert.')}`;
      return;
    }
    if (!checked) {
      badge.textContent = 'bereit';
      box.innerHTML = `<strong>${escapeHTML(endpoint)}</strong>Noch keine echte JSON-Suche ausgeführt.`;
      return;
    }
    if (ok) {
      badge.textContent = 'erreichbar';
      const count = Number(status.result_count || 0);
      box.innerHTML = `<strong>${escapeHTML(endpoint)}</strong>HTTP ${Number(status.http_status || 200)} · ${count} Treffer · ${Number(status.duration_ms || 0).toLocaleString('de-DE')} ms`;
      return;
    }
    badge.textContent = 'Fehler';
    const kind = status.error_kind ? `${escapeHTML(String(status.error_kind))} · ` : '';
    box.innerHTML = `<strong>${escapeHTML(endpoint)}</strong>${kind}${escapeHTML(status.error || 'SearXNG-Test fehlgeschlagen')}`;
  }

  function renderAutonomousResearchStatus(status = {}) {
    state.autonomousTaskStatus = status || {};
    const badge = $('autonomousResearchBadge');
    const feedback = $('autonomousResearchFeedback');
    const runtime = state.runtimeSettings || {};
    const enabled = Boolean(runtime.autonomous_research_enabled);
    const running = Boolean(status.running);
    if (badge) {
      badge.textContent = running ? 'läuft' : enabled ? 'aktiv' : 'pausiert';
      badge.className = running ? 'running' : enabled ? 'ok' : '';
    }
    if (feedback && !feedback.dataset.manual) {
      const counts = status.counts || {};
      const queued = Number(counts.queued || 0) + Number(counts.deferred || 0) + Number(counts.reserved || 0);
      if (running) feedback.textContent = `Läuft: ${status.task_topic || status.task_id || 'Rechercheaufgabe'} · ${queued} weitere in der Queue.`;
      else if (!enabled) feedback.textContent = 'Autonome Recherche ist pausiert. Manuelle Aufgaben bleiben in der SQLite-Queue erhalten.';
      else feedback.textContent = `${queued} wartende Aufgaben · Intervall ${status.interval || '–'} · Cooldown ${status.cooldown || '–'}.`;
    }
  }

  function scheduleAutonomousTasksLoad(delay = 180) {
    clearTimeout(state.autonomousTasksTimer);
    state.autonomousTasksTimer = setTimeout(() => {
      state.autonomousTasksTimer = 0;
      loadAutonomousResearchTasks().catch(() => {});
    }, delay);
  }

  async function loadAutonomousResearchTasks() {
    const payload = await api('/api/research/tasks?limit=24');
    state.autonomousTasks = payload.tasks || [];
    state.autonomousTaskStatus = payload.status || state.autonomousTaskStatus || {};
    renderAutonomousResearchStatus(state.autonomousTaskStatus);
    renderAutonomousResearchQueue();
  }

  function autonomousStatusLabel(status) {
    return ({queued: 'wartet', reserved: 'reserviert', running: 'läuft', deferred: 'später', completed: 'fertig', failed: 'fehlgeschlagen', cancelled: 'abgebrochen'})[status] || status || 'unbekannt';
  }

  function renderAutonomousResearchQueue() {
    const target = $('autonomousResearchQueue');
    const count = $('autonomousQueueCount');
    if (!target) return;
    const tasks = state.autonomousTasks || [];
    const activeCount = tasks.filter(task => ['queued', 'reserved', 'running', 'deferred'].includes(task.status)).length;
    if (count) count.textContent = String(activeCount);
    target.innerHTML = '';
    if (!tasks.length) {
      target.innerHTML = '<span class="empty-filter">Noch keine Rechercheaufgaben</span>';
      return;
    }
    for (const task of tasks.slice(0, 16)) {
      const item = document.createElement('div');
      item.className = `autonomous-task ${escapeHTML(task.status || '')}`;
      const priority = Math.round(Number(task.priority || 0) * 100);
      const meta = [autonomousStatusLabel(task.status), `${priority}% Priorität`, `${Number(task.evidence_count || 0)} Belege`, `Versuch ${Number(task.attempts || 0)}/${Number(task.max_attempts || 0)}`];
      if (task.article_created) meta.push('Artikel erstellt');
      const cancel = ['queued', 'deferred', 'reserved'].includes(task.status) ? `<button type="button" data-cancel-research-task="${escapeHTML(task.id)}">ABBRECHEN</button>` : '';
      item.innerHTML = `<div class="autonomous-task-head"><b>${escapeHTML(task.topic)}</b><em>${priority}%</em></div><p>${escapeHTML(task.reason || task.outcome || '')}</p><div class="autonomous-task-meta">${meta.map(value => `<span>${escapeHTML(value)}</span>`).join('')}</div>${cancel}`;
      target.appendChild(item);
    }
  }

  function renderAutonomyStatus(status) {
    const panel = $('autonomyStatus');
    const button = $('enrichNow');
    if (!panel || !button) return;
    const runtime = status.runtime_settings || state.runtimeSettings;
    const thinkingEnabled = runtime.thinking_enabled !== false;
    const learningEnabled = runtime.learning_enabled !== false;
    const queued = status.enrich_result === 'queued' && !status.enrich_running;
    const running = Boolean(status.enrich_running || queued);
    let text = '';
    let cls = 'waiting';
    if (!thinkingEnabled) {
      text = `Living-only · Thinking pausiert${learningEnabled ? '' : ' · Learning pausiert'}.`;
      cls = 'waiting';
    } else if (status.enrich_running) {
      text = `AI-THINK läuft · Relationen und KB-Synthese · ${status.enrich_trigger === 'manual' ? 'manuell' : 'automatisch'} · Batch ${status.enrich_batch_size || 1}`;
      cls = 'running';
    } else if (queued) {
      text = 'AI-THINK ist eingeplant und wartet auf den sequenziellen Worker.';
      cls = 'running';
    } else if (!status.ollama_ok) {
      text = 'Ollama/Qwen derzeit nicht bestätigt · ein manueller Start versucht die Verbindung erneut.';
      cls = 'offline';
    } else if (!status.auto_enrich) {
      text = 'Automatik ist deaktiviert · AI-THINK kann manuell gestartet werden.';
      cls = 'waiting';
    } else if (status.enrich_result === 'no_candidate') {
      text = `Im zuletzt geprüften Graphbereich kein Kandidat über dem Schwellwert · nächster Versuch ${nextRunText(status.next_enrich)}.`;
      cls = 'waiting';
    } else {
      text = `Autonom aktiv · ${status.enrich_batch_size || 1} Relationsprüfungen pro Zyklus · Artikel ab ${status.article_min_sources || 3} produktiven Quellen · nächster Lauf ${nextRunText(status.next_enrich)}.`;
      cls = 'waiting';
    }
    panel.className = `autonomy-status ${cls}`;
    const pool = status.ollama_pool || {};
    const persistence = status.persistence || {};
    const glpi = status.glpi_kb || {};
    const diagnostics = [`Ollama ${pool.healthy_nodes ?? 0}/${pool.node_count ?? 0}`, `Diskqueue ${persistence.pending_files ?? 0}`];
    const articleModels = status.article_model_status || {};
    if (articleModels.synthesis?.model || articleModels.review?.model) {
      diagnostics.push(`Artikel ${articleModels.synthesis?.model || '?'} → ${articleModels.review?.model || '?'}`);
    }
    if (glpi.enabled) diagnostics.push(`GLPI-KB ${glpi.documents ?? 0}`);
    panel.title = diagnostics.join(' · ');
    const span = panel.querySelector('span');
    if (span) span.textContent = text;
    button.disabled = running || !thinkingEnabled;
    button.classList.toggle('running', running);
    const small = button.querySelector('small');
    if (small) small.textContent = !thinkingEnabled ? 'PAUSIERT' : status.enrich_running ? 'LÄUFT' : queued ? 'WARTET' : 'STARTEN';
  }

  function nextRunText(value) {
    const when = new Date(value || 0).getTime();
    if (!Number.isFinite(when) || when < Date.now() - 1000) return 'bald';
    const seconds = Math.max(0, Math.round((when - Date.now()) / 1000));
    if (seconds < 60) return `in ${seconds}s`;
    return `in ${Math.floor(seconds / 60)}m ${seconds % 60}s`;
  }

  function hashString(value) {
    let h = 2166136261;
    const s = String(value || '');
    for (let i = 0; i < s.length; i++) {
      h ^= s.charCodeAt(i);
      h = Math.imul(h, 16777619);
    }
    return h >>> 0;
  }

  function fract(v) {
    return v - Math.floor(v);
  }

  function pseudo(value, offset = 0) {
    const h = hashString(value + ':' + offset);
    return fract(Math.sin(h * 0.00000137 + offset * 12.345) * 43758.5453123);
  }

  function hsvToRgb(h, s, v) {
    const c = v * s;
    const hh = (h % 360) / 60;
    const x = c * (1 - Math.abs(hh % 2 - 1));
    let r = 0, g = 0, b = 0;
    if (hh >= 0 && hh < 1) [r, g, b] = [c, x, 0];
    else if (hh < 2) [r, g, b] = [x, c, 0];
    else if (hh < 3) [r, g, b] = [0, c, x];
    else if (hh < 4) [r, g, b] = [0, x, c];
    else if (hh < 5) [r, g, b] = [x, 0, c];
    else [r, g, b] = [c, 0, x];
    const m = v - c;
    return [Math.round((r + m) * 255), Math.round((g + m) * 255), Math.round((b + m) * 255)];
  }

  function explicitClusterKey(node) {
    const cats = (node.categories || []).filter(Boolean);
    const preferred = cats.find(c => !/^(AI-THINK|AI-Staging|Staging|Produktiv)$/i.test(c));
    if (preferred) return preferred;
    if (node.kind === 'category' && node.label) return node.label;
    if (node.kind === 'ai-think') return 'AI-THINK';
    return '';
  }

  function categoryKey(node) {
    const explicit = explicitClusterKey(node);
    if (explicit) return explicit;
    if (node.kind === 'external') return 'Recherche';
    if (node.kind === 'source') return 'Quellen';
    if (node.kind === 'concept') return 'Konzepte';
    return `${node.kind || 'node'}:${node.status || 'live'}`;
  }

  function clusterColorFor(key) {
    const hue = hashString(key) % 360;
    return hsvToRgb(hue, 0.48, 1);
  }

  function nodeColor(node, alpha = 1) {
    let c = node.clusterColor || [82, 231, 255];
    if (node.kind === 'ai-think' || (node.categories || []).some(x => String(x).toUpperCase() === 'AI-THINK')) c = [255, 180, 82];
    else if (node.status === 'staging') c = [183, 117, 255];
    else if (node.kind === 'external') c = [93, 255, 189];
    else if (node.kind === 'category') c = [75, 123, 255];
    else if (node.kind === 'source') c = [255, 95, 136];
    return `rgba(${c[0]},${c[1]},${c[2]},${alpha})`;
  }

  function clusterFill(cluster, alpha = 1) {
    const c = cluster.color || [82, 231, 255];
    return `rgba(${c[0]},${c[1]},${c[2]},${alpha})`;
  }

  function insideBrain(x, y, z) {
    const fissure = Math.abs(x) < 0.045 && y > -0.58 && y < 0.42;
    if (fissure) return false;
    const taperY = y + Math.abs(z) * 0.10 - Math.max(0, Math.abs(x) - 0.58) * 0.18;
    const lx = (x + 0.35) / 0.58;
    const rx = (x - 0.35) / 0.58;
    const ny = taperY / 0.76;
    const nz = z / 0.58;
    const left = lx * lx + ny * ny + nz * nz <= 1;
    const right = rx * rx + ny * ny + nz * nz <= 1;
    const stemCut = y < -0.76 || y > 0.82;
    return !stemCut && (left || right);
  }

  function clampBrain(point, sideHint) {
    const out = {x: point.x, y: point.y, z: point.z};
    const centerX = sideHint === 'left' ? -0.36 : sideHint === 'right' ? 0.36 : (out.x < 0 ? -0.36 : 0.36);
    for (let i = 0; i < 18 && !insideBrain(out.x, out.y, out.z); i++) {
      out.x = centerX + (out.x - centerX) * 0.88;
      out.y *= 0.93;
      out.z *= 0.93;
    }
    if (sideHint === 'left' && out.x > -0.06) out.x = -0.06 - Math.abs(out.x) * 0.1;
    if (sideHint === 'right' && out.x < 0.06) out.x = 0.06 + Math.abs(out.x) * 0.1;
    out.x = Math.max(-0.95, Math.min(0.95, out.x));
    out.y = Math.max(-0.9, Math.min(0.9, out.y));
    out.z = Math.max(-0.72, Math.min(0.72, out.z));
    return out;
  }

  function honeycombPointCount(spacing, stopAt = Infinity, collect = false) {
    const points = collect ? [] : null;
    let count = 0;
    const yStep = spacing * Math.sqrt(3) / 2;
    const zStep = spacing * Math.sqrt(2 / 3);
    const kMin = Math.floor(-0.72 / zStep) - 1;
    const kMax = Math.ceil(0.72 / zStep) + 1;
    const rMin = Math.floor(-0.9 / yStep) - 1;
    const rMax = Math.ceil(0.9 / yStep) + 1;
    for (let k = kMin; k <= kMax; k++) {
      const layer = Math.abs(k) % 2;
      const z = k * zStep;
      const layerX = layer * spacing * 0.5;
      const layerY = layer * yStep / 3;
      for (let r = rMin; r <= rMax; r++) {
        const y = r * yStep + layerY;
        const rowX = (Math.abs(r) % 2) * spacing * 0.5;
        const qMin = Math.floor(-1.02 / spacing) - 1;
        const qMax = Math.ceil(1.02 / spacing) + 1;
        for (let q = qMin; q <= qMax; q++) {
          const x = q * spacing + rowX + layerX;
          if (!insideBrain(x, y, z)) continue;
          count++;
          if (collect) points.push({x, y, z});
          if (count >= stopAt) return collect ? points : count;
        }
      }
    }
    return collect ? points : count;
  }

  function buildHoneycombLayout() {
    const noteKinds = new Set(['knowledge', 'ai-think', 'external']);
    const notes = state.nodes.filter(node => noteKinds.has(node.kind));
    state.honeycombNodes = notes;
    if (!notes.length) {
      state.honeycombSpacing = 0;
      state.honeySlotByID.clear();
      state.honeyPointPool = [];
      return;
    }

    const noteIDs = new Set(notes.map(node => node.id));
    for (const id of [...state.honeySlotByID.keys()]) {
      if (!noteIDs.has(id)) state.honeySlotByID.delete(id);
    }
    const desiredCapacity = Math.max(notes.length + 48, Math.ceil(notes.length * 1.18));
    const rebuildPool = state.honeyPointPool.length < notes.length || !state.honeycombSpacing;
    if (rebuildPool) {
      let low = 0.008;
      let high = 0.32;
      while (honeycombPointCount(low, desiredCapacity) < desiredCapacity && low > 0.0025) low *= 0.75;
      for (let i = 0; i < 12; i++) {
        const mid = (low + high) / 2;
        const count = honeycombPointCount(mid, desiredCapacity);
        if (count >= desiredCapacity) low = mid; else high = mid;
      }
      const spacing = Math.max(0.0025, low * 0.985);
      let points = honeycombPointCount(spacing, desiredCapacity, true);
      if (points.length < notes.length) points = honeycombPointCount(Math.max(0.0025, spacing * 0.96), desiredCapacity, true);
      points.sort((a, b) => hashString(`${a.x.toFixed(5)}:${a.y.toFixed(5)}:${a.z.toFixed(5)}`) - hashString(`${b.x.toFixed(5)}:${b.y.toFixed(5)}:${b.z.toFixed(5)}`));
      const previous = new Map(notes.map(node => [node.id, Number.isFinite(node.honeyX) ? {x: node.honeyX, y: node.honeyY, z: node.honeyZ} : null]));
      state.honeyPointPool = points;
      state.honeySlotByID = new Map();
      const ordered = [...notes].sort((a, b) => hashString(a.id) - hashString(b.id));
      const step = points.length / ordered.length;
      for (let i = 0; i < ordered.length; i++) {
        const slot = Math.min(points.length - 1, Math.floor(i * step));
        state.honeySlotByID.set(ordered[i].id, slot);
        const old = previous.get(ordered[i].id);
        if (old) {
          ordered[i].honeyTransitionFrom = old;
          ordered[i].honeyTransitionStart = performance.now();
        }
      }
      state.honeycombSpacing = spacing;
    }

    const occupied = new Set(state.honeySlotByID.values());
    const free = [];
    for (let i = 0; i < state.honeyPointPool.length; i++) if (!occupied.has(i)) free.push(i);
    const newcomers = notes.filter(node => !state.honeySlotByID.has(node.id)).sort((a, b) => hashString(a.id) - hashString(b.id));
    for (const node of newcomers) {
      if (!free.length) break;
      const pick = Math.floor(pseudo(node.id, 144) * free.length);
      const slot = free.splice(Math.min(free.length - 1, pick), 1)[0];
      state.honeySlotByID.set(node.id, slot);
      node._fadeInStart = node._fadeInStart || performance.now();
    }
    for (const node of notes) {
      const slot = state.honeySlotByID.get(node.id);
      const point = state.honeyPointPool[slot];
      if (!point) continue;
      node.honeyX = point.x;
      node.honeyY = point.y;
      node.honeyZ = point.z;
    }
  }

  function refreshClusterLinks() {
    for (const cluster of state.clusters) cluster.links = new Map();
    for (const edge of state.edges) {
      const a = state.nodeById.get(edge.source);
      const b = state.nodeById.get(edge.target);
      if (!a?.cluster || !b?.cluster || a.clusterKey === b.clusterKey) continue;
      const weight = Math.max(0.05, Number(edge.weight || 1));
      a.cluster.links.set(b.clusterKey, (a.cluster.links.get(b.clusterKey) || 0) + weight);
      b.cluster.links.set(a.clusterKey, (b.cluster.links.get(a.clusterKey) || 0) + weight);
    }
  }

  function buildConstellationLinks() {
    const links = [];
    const seen = new Set();
    for (const cluster of state.clusters) {
      for (const [targetKey, weight] of cluster.links || []) {
        const target = state.clusterByKey.get(targetKey);
        if (!target) continue;
        const pair = cluster.key < targetKey ? `${cluster.key}\u0000${targetKey}` : `${targetKey}\u0000${cluster.key}`;
        if (seen.has(pair)) continue;
        seen.add(pair);
        links.push({id: `constellation:${hashString(pair).toString(36)}`, source: cluster, target, weight});
      }
    }
    links.sort((a, b) => b.weight - a.weight || a.id.localeCompare(b.id));
    state.constellationLinks = links.slice(0, state.lowPowerMode ? 48 : 120);
  }

  function buildConstellationLayout() {
    state.constellationNodes = state.nodes;
    const clusters = state.clusters;
    const total = Math.max(1, clusters.length);
    const now = performance.now();
    for (let i = 0; i < clusters.length; i++) {
      const cluster = clusters[i];
      if (!Number.isFinite(cluster.constellationX)) {
        const u = 1 - 2 * ((i + 0.5) / total);
        const ring = Math.sqrt(Math.max(0, 1 - u * u));
        const angle = i * GOLDEN + pseudo(cluster.key, 301) * 0.45;
        cluster.constellationX = Math.cos(angle) * ring * 0.78;
        cluster.constellationY = u * 0.66;
        cluster.constellationZ = Math.sin(angle) * ring * 0.54;
      }
      cluster.constellationRadius = Math.max(0.045, Math.min(0.17, 0.035 + Math.sqrt(cluster.size) * 0.006));
      cluster.constellationPhase = pseudo(cluster.key, 302) * Math.PI * 2;
    }

    for (const cluster of clusters) {
      for (const node of cluster.nodes) {
        const old = Number.isFinite(node.constellationX) ? {x: node.constellationX, y: node.constellationY, z: node.constellationZ} : null;
        const angle = pseudo(node.id, 311) * Math.PI * 2;
        const radial = Math.sqrt(pseudo(node.id, 312)) * cluster.constellationRadius;
        const tilt = (pseudo(node.id, 313) - 0.5) * cluster.constellationRadius * 0.72;
        const eccentric = 0.72 + pseudo(node.id, 314) * 0.44;
        node.constellationX = cluster.constellationX + Math.cos(angle) * radial * eccentric;
        node.constellationY = cluster.constellationY + Math.sin(angle) * radial * 0.72;
        node.constellationZ = cluster.constellationZ + tilt + Math.sin(angle * 2) * radial * 0.16;
        if (old && Math.hypot(node.constellationX - old.x, node.constellationY - old.y, node.constellationZ - old.z) > 0.004) {
          node.constellationTransitionFrom = old;
          node.constellationTransitionStart = now;
        }
      }
    }
    buildConstellationLinks();
  }

  function nodePositionForView(node, mode = state.viewMode) {
    if (mode === 'honeycomb' && Number.isFinite(node.honeyX)) return {x: node.honeyX, y: node.honeyY, z: node.honeyZ};
    if (mode === 'constellation' && Number.isFinite(node.constellationX)) return {x: node.constellationX, y: node.constellationY, z: node.constellationZ};
    return {x: Number(node.neuralX ?? node.x ?? 0), y: Number(node.neuralY ?? node.y ?? 0), z: Number(node.neuralZ ?? node.z ?? 0)};
  }

  function captureViewGhosts(now) {
    const maxGhosts = state.lowPowerMode ? 900 : 2600;
    const source = state.projected.length ? state.projected : state.renderNodes;
    const step = Math.max(1, Math.ceil(source.length / maxGhosts));
    state.viewGhostNodes = [];
    for (let i = 0; i < source.length; i += step) {
      const node = source[i];
      if (!node?.screen) continue;
      state.viewGhostNodes.push({
        screen: {...node.screen}, color: node.clusterColor || [82, 231, 255], kind: node.kind,
        startedAt: now, duration: TRANSITION_CONFIG.viewMS
      });
    }
  }

  function cloneRetiringNode(node, now) {
    return {
      ...node,
      screen: node.screen ? {...node.screen} : null,
      cluster: node.cluster,
      _fadeInStart: 0,
      _fadeOutStart: now,
      _fadeOutDuration: TRANSITION_CONFIG.exitMS,
      transitionFrom: null,
      honeyTransitionFrom: null,
      constellationTransitionFrom: null
    };
  }

  function pruneRetiringEntities(now) {
    state.retiringRenderNodes = state.retiringRenderNodes.filter(node => now - node._fadeOutStart < (node._fadeOutDuration || TRANSITION_CONFIG.exitMS));
    state.retiringRenderEdges = state.retiringRenderEdges.filter(edge => now - edge._fadeOutStart < (edge._fadeOutDuration || TRANSITION_CONFIG.exitMS));
    const maxRetired = state.lowPowerMode ? 1000 : 4000;
    if (state.retiringRenderNodes.length > maxRetired) state.retiringRenderNodes.splice(0, state.retiringRenderNodes.length - maxRetired);
    state.retiringRenderNodeById = new Map(state.retiringRenderNodes.map(node => [node.id, node]));
  }

  function commitRenderGraph(renderNodes, renderEdges, renderIdleEdges, renderNodeById, renderEdgeById, visibleForNode, edgeRenderMap, stats, now, retireOld = true) {
    if (retireOld) {
      for (const [id, node] of state.renderNodeById) {
        if (!renderNodeById.has(id)) state.retiringRenderNodes.push(cloneRetiringNode(node, now));
      }
      for (const [id, edge] of state.renderEdgeById) {
        if (!renderEdgeById.has(id)) state.retiringRenderEdges.push({...edge, _fadeOutStart: now, _fadeOutDuration: TRANSITION_CONFIG.exitMS});
      }
    }
    for (const node of renderNodes) {
      if (!state.renderNodeById.has(node.id) && !node._fadeInStart) node._fadeInStart = now;
    }
    for (const edge of renderEdges) {
      if (!state.renderEdgeById.has(edge.id) && !edge._fadeInStart) edge._fadeInStart = now;
    }
    state.renderNodes = renderNodes;
    state.renderEdges = renderEdges;
    state.renderIdleEdges = renderIdleEdges;
    state.renderNodeById = renderNodeById;
    state.renderEdgeById = renderEdgeById;
    state.visibleForNode = visibleForNode;
    state.edgeRenderMap = edgeRenderMap;
    state.renderStats = stats;
    pruneRetiringEntities(now);
  }

  function updateViewButtons() {
    for (const mode of ['neural', 'honeycomb', 'constellation']) {
      const button = $(`view${mode[0].toUpperCase()}${mode.slice(1)}`);
      if (button) button.classList.toggle('active', state.viewMode === mode);
    }
    document.body.classList.toggle('honeycomb-view', state.viewMode === 'honeycomb');
    document.body.classList.toggle('constellation-view', state.viewMode === 'constellation');
    const edgeButton = $('toggleEdges');
    const cortexButton = $('toggleCortex');
    const lodButton = $('toggleLOD');
    if (edgeButton) edgeButton.disabled = state.viewMode === 'honeycomb';
    if (cortexButton) cortexButton.disabled = state.viewMode !== 'neural';
    if (lodButton) lodButton.disabled = state.viewMode !== 'neural';
  }

  function applyViewMode(mode, persist = true) {
    mode = ['neural', 'honeycomb', 'constellation'].includes(mode) ? mode : 'neural';
    const previousMode = state.viewMode;
    const changed = previousMode !== mode;
    const now = performance.now();
    if (changed) captureViewGhosts(now);
    state.viewMode = mode;
    state.runtimeSettings.view_mode = mode;
    state.hover = null;
    state.selected = null;
    state.particles.length = Math.min(state.particles.length, state.lowPowerMode ? 80 : 240);
    if (changed) {
      state.retiringRenderNodes = [];
      state.retiringRenderEdges = [];
      for (const node of state.nodes) {
        const from = nodePositionForView(node, previousMode);
        node.transitionFrom = from;
        node.transitionStart = now;
        node._fadeInStart = now;
      }
    }

    if (mode === 'honeycomb') {
      const renderNodes = state.honeycombNodes;
      const renderNodeById = new Map(renderNodes.map(node => [node.id, node]));
      const visibleForNode = new Map(renderNodes.map(node => [node.id, node.id]));
      commitRenderGraph(renderNodes, [], [], renderNodeById, new Map(), visibleForNode, new Map(), {
        nodes: renderNodes.length, edges: 0,
        hiddenNodes: Math.max(0, state.nodes.length - renderNodes.length), hiddenEdges: state.edges.length
      }, now, !changed);
    } else if (mode === 'constellation') {
      const renderNodes = state.constellationNodes;
      const renderNodeById = new Map(renderNodes.map(node => [node.id, node]));
      const visibleForNode = new Map(renderNodes.map(node => [node.id, node.id]));
      commitRenderGraph(renderNodes, [], [], renderNodeById, new Map(), visibleForNode, new Map(), {
        nodes: renderNodes.length, edges: state.constellationLinks.length,
        hiddenNodes: Math.max(0, state.nodes.length - renderNodes.length), hiddenEdges: Math.max(0, state.edges.length - state.constellationLinks.length)
      }, now, !changed);
    } else {
      state.lodDirty = true;
      rebuildRenderGraph(now, true, !changed);
    }

    const renderCount = $('renderCount');
    if (renderCount) renderCount.textContent = state.renderStats.nodes.toLocaleString('de-DE');
    updateViewButtons();
    if (persist) persistRuntimeSettings().catch(() => {});
  }

  function buildLayout(previousNodes = new Map(), previousClusters = new Map()) {
    const degree = new Map(state.nodes.map(n => [n.id, (state.adjacency.get(n.id) || []).length]));
    const labels = new Map();
    const locked = new Set();
    for (const node of state.nodes) {
      const explicit = explicitClusterKey(node);
      if (explicit) {
        labels.set(node.id, explicit);
        locked.add(node.id);
      }
    }
    for (let round = 0; round < 4; round++) {
      const pending = [];
      for (const node of state.nodes) {
        if (locked.has(node.id)) continue;
        const votes = new Map();
        for (const edge of state.adjacency.get(node.id) || []) {
          const otherID = edge.source === node.id ? edge.target : edge.source;
          const label = labels.get(otherID);
          if (!label) continue;
          const trust = edge.origin === 'ai-inference' ? 0.72 : edge.type === 'categorized_as' ? 1.35 : 1;
          const score = Math.max(0.05, edge.weight || 1) * trust;
          votes.set(label, (votes.get(label) || 0) + score);
        }
        let best = '', bestScore = 0;
        for (const [label, score] of votes) {
          if (score > bestScore) { best = label; bestScore = score; }
        }
        if (best) pending.push([node.id, best]);
      }
      for (const [id, label] of pending) labels.set(id, label);
      if (!pending.length) break;
    }

    const clusters = new Map();
    for (const n of state.nodes) {
      const key = labels.get(n.id) || categoryKey(n);
      n.clusterKey = key;
      let cluster = clusters.get(key);
      if (!cluster) {
        const previous = previousClusters.get(key);
        cluster = {
          key, label: key, nodes: [], size: 0, mass: 0, color: clusterColorFor(key),
          x: previous?.x || 0, y: previous?.y || 0, z: previous?.z || 0,
          side: previous?.side || 'left', radius: 0.12, links: new Map(), hasPrevious: Boolean(previous),
          constellationX: previous?.constellationX, constellationY: previous?.constellationY, constellationZ: previous?.constellationZ,
          constellationPhase: previous?.constellationPhase
        };
        clusters.set(key, cluster);
      }
      cluster.nodes.push(n);
      cluster.size++;
      cluster.mass += 1 + Math.min(10, Math.sqrt(degree.get(n.id) || 0));
    }

    for (const e of state.edges) {
      const a = state.nodeById.get(e.source);
      const b = state.nodeById.get(e.target);
      if (!a || !b || a.clusterKey === b.clusterKey) continue;
      const c1 = clusters.get(a.clusterKey);
      const c2 = clusters.get(b.clusterKey);
      c1.links.set(c2.key, (c1.links.get(c2.key) || 0) + (e.weight || 1));
      c2.links.set(c1.key, (c2.links.get(c1.key) || 0) + (e.weight || 1));
    }

    const clusterList = Array.from(clusters.values()).sort((a, b) => b.mass - a.mass || a.key.localeCompare(b.key));
    clusterList.forEach((cluster, index) => {
      cluster.color = CORTEX_PALETTE[index % CORTEX_PALETTE.length];
      cluster.importance = index < 12 ? 1 : Math.max(0.25, 1 - index / Math.max(1, clusterList.length));
      cluster.phase = pseudo(cluster.key, 81) * Math.PI * 2;
      cluster.screen = null;
    });
    const left = [], right = [];
    let leftMass = 0, rightMass = 0;
    for (const cluster of clusterList) {
      let chooseLeft;
      if (cluster.hasPrevious) {
        chooseLeft = cluster.side === 'left';
      } else {
        const preferLeft = (hashString(cluster.key) % 2) === 0;
        chooseLeft = Math.abs(leftMass - rightMass) > cluster.mass * 0.35 ? leftMass <= rightMass : preferLeft;
        cluster.side = chooseLeft ? 'left' : 'right';
      }
      if (chooseLeft) { left.push(cluster); leftMass += cluster.mass; }
      else { right.push(cluster); rightMass += cluster.mass; }
      cluster.radius = Math.max(0.08, Math.min(0.24, 0.08 + Math.sqrt(cluster.size) / 75));
    }

    seedHemis(left, -1);
    seedHemis(right, 1);
    const newClusterCount = clusterList.filter(cluster => !cluster.hasPrevious).length;
    const relaxIterations = newClusterCount ? (state.lowPowerMode ? 28 : 48) : (state.lowPowerMode ? 3 : 8);
    relaxClusters(clusterList, relaxIterations);
    placeNodes(clusterList, degree, previousNodes);
    state.clusters = clusterList;
    state.clusterByKey = new Map(clusterList.map(cluster => [cluster.key, cluster]));
  }

  function seedHemis(list, sign) {
    const total = Math.max(1, list.length);
    for (let i = 0; i < list.length; i++) {
      const cluster = list[i];
      if (cluster.hasPrevious) continue;
      const t = (i + 0.6) / total;
      const ring = Math.sqrt(t);
      const angle = i * GOLDEN;
      const x = sign * (0.18 + 0.26 * (0.25 + ring * 0.75));
      const y = Math.cos(angle) * 0.56 * ring;
      const z = Math.sin(angle) * 0.46 * ring;
      Object.assign(cluster, clampBrain({x, y, z}, sign < 0 ? 'left' : 'right'));
    }
  }

  function relaxClusters(clusterList, iterations = 48) {
    for (let iter = 0; iter < iterations; iter++) {
      const force = clusterList.map(() => ({x: 0, y: 0, z: 0}));
      for (let i = 0; i < clusterList.length; i++) {
        const a = clusterList[i];
        for (let j = i + 1; j < clusterList.length; j++) {
          const b = clusterList[j];
          let dx = b.x - a.x, dy = b.y - a.y, dz = b.z - a.z;
          const dist = Math.max(0.001, Math.hypot(dx, dy, dz));
          const ux = dx / dist, uy = dy / dist, uz = dz / dist;
          const minDist = a.radius + b.radius + 0.06;
          const repulsion = 0.0016 * Math.sqrt(a.mass * b.mass) / (dist * dist);
          force[i].x -= ux * repulsion; force[i].y -= uy * repulsion; force[i].z -= uz * repulsion;
          force[j].x += ux * repulsion; force[j].y += uy * repulsion; force[j].z += uz * repulsion;
          if (dist < minDist) {
            const push = (minDist - dist) * 0.022;
            force[i].x -= ux * push; force[i].y -= uy * push; force[i].z -= uz * push;
            force[j].x += ux * push; force[j].y += uy * push; force[j].z += uz * push;
          }
          const linkWeight = (a.links.get(b.key) || 0);
          if (linkWeight > 0) {
            const target = a.side === b.side ? 0.24 + Math.max(a.radius, b.radius) * 0.35 : 0.38 + Math.max(a.radius, b.radius) * 0.25;
            const spring = (dist - target) * 0.0022 * Math.log1p(linkWeight);
            force[i].x += ux * spring; force[i].y += uy * spring; force[i].z += uz * spring;
            force[j].x -= ux * spring; force[j].y -= uy * spring; force[j].z -= uz * spring;
          }
        }
      }
      for (let i = 0; i < clusterList.length; i++) {
        const cluster = clusterList[i];
        const fx = force[i];
        const centerX = cluster.side === 'left' ? -0.34 : 0.34;
        fx.x += (centerX - cluster.x) * 0.012;
        fx.y += (-0.02 - cluster.y) * 0.01;
        fx.z += (0 - cluster.z) * 0.008;
        const stability = cluster.hasPrevious ? 0.18 : 1;
        cluster.x += Math.max(-0.03, Math.min(0.03, fx.x)) * stability;
        cluster.y += Math.max(-0.03, Math.min(0.03, fx.y)) * stability;
        cluster.z += Math.max(-0.03, Math.min(0.03, fx.z)) * stability;
        Object.assign(cluster, clampBrain(cluster, cluster.side));
      }
    }
  }

  function placeNodes(clusterList, degree, previousNodes = new Map()) {
    for (const cluster of clusterList) {
      cluster.nodes.sort((a, b) => (degree.get(b.id) || 0) - (degree.get(a.id) || 0) || a.id.localeCompare(b.id));
      const total = Math.max(1, cluster.nodes.length);
      for (let i = 0; i < cluster.nodes.length; i++) {
        const node = cluster.nodes[i];
        node.clusterColor = cluster.color;
        node.cluster = cluster;
        const previous = previousNodes.get(node.id);
        if (previous?.clusterKey === cluster.key && Number.isFinite(previous.neuralX ?? previous.x)) {
          node.x = Number(previous.neuralX ?? previous.x);
          node.y = Number(previous.neuralY ?? previous.y);
          node.z = Number(previous.neuralZ ?? previous.z);
          continue;
        }
        const rank = i / total;
        const spread = Math.pow(rank, 0.58);
        const angleA = i * GOLDEN + pseudo(node.id, 1) * Math.PI * 2;
        const angleB = Math.acos(1 - 2 * pseudo(node.id, 2));
        const shell = cluster.radius * (0.18 + 0.92 * spread);
        const density = 0.75 + pseudo(node.id, 3) * 0.5;
        let ox = Math.cos(angleA) * Math.sin(angleB) * shell * density;
        let oy = Math.sin(angleA) * Math.sin(angleB) * shell * density * 0.95;
        let oz = Math.cos(angleB) * shell * (0.66 + pseudo(node.id, 4) * 0.24);
        ox += (cluster.side === 'left' ? -1 : 1) * (0.015 + (1 - spread) * 0.018);
        const pos = clampBrain({x: cluster.x + ox, y: cluster.y + oy, z: cluster.z + oz}, cluster.side);
        node.x = pos.x;
        node.y = pos.y;
        node.z = pos.z;
      }
    }
  }

  function splitSpatial(items, maxItems) {
    if (items.length <= maxItems) return [items];
    const ranges = ['x', 'y', 'z'].map(axis => {
      let min = Infinity, max = -Infinity;
      for (const item of items) {
        min = Math.min(min, item[axis]);
        max = Math.max(max, item[axis]);
      }
      return {axis, range: max - min};
    }).sort((a, b) => b.range - a.range);
    const axis = ranges[0].axis;
    const sorted = [...items].sort((a, b) => a[axis] - b[axis] || String(a.id).localeCompare(String(b.id)));
    const parts = [];
    for (let i = 0; i < sorted.length; i += maxItems) parts.push(sorted.slice(i, i + maxItems));
    return parts;
  }

  function spatialBuckets(items, cellSize, maxItems) {
    const buckets = new Map();
    for (const item of items) {
      const key = `${Math.floor(item.x / cellSize)}:${Math.floor(item.y / cellSize)}:${Math.floor(item.z / cellSize)}`;
      if (!buckets.has(key)) buckets.set(key, []);
      buckets.get(key).push(item);
    }
    const result = [];
    const entries = [...buckets.entries()].sort((a, b) => a[0].localeCompare(b[0]));
    for (const [, bucket] of entries) result.push(...splitSpatial(bucket, maxItems));
    return result;
  }

  function makeLODGroup(level, cluster, members, children, ordinal) {
    let sumX = 0, sumY = 0, sumZ = 0, mass = 0;
    for (const member of members) {
      const weight = 1 + Math.min(8, Math.sqrt((state.adjacency.get(member.id) || []).length));
      sumX += member.x * weight;
      sumY += member.y * weight;
      sumZ += member.z * weight;
      mass += weight;
    }
    const signature = `${cluster.key}|${level}|${members[0]?.id || ordinal}|${members.length}|${ordinal}`;
    const id = `lod:${level}:${hashString(signature).toString(36)}`;
    const statuses = new Set(members.map(member => member.status).filter(Boolean));
    return {
      id, kind: 'supernode', renderKind: 'supernode', lodLevel: level, clusterKey: cluster.key, cluster,
      label: cluster.label, summary: `${members.length.toLocaleString('de-DE')} verdichtete Wissenselemente`,
      status: statuses.size === 1 ? [...statuses][0] : 'aggregate', origin: 'lod', categories: [cluster.label],
      x: sumX / Math.max(1, mass), y: sumY / Math.max(1, mass), z: sumZ / Math.max(1, mass),
      weight: Math.max(1, Math.log2(members.length + 1)), clusterColor: cluster.color,
      members, memberIDs: members.map(member => member.id), memberCount: members.length, children: children || [],
      internalEdgeCount: 0, externalEdgeCount: 0, screen: null, transitionFrom: null, transitionStart: 0
    };
  }

  function buildLODHierarchy() {
    state.lodLeaves = [];
    state.lodCoarse = [];
    state.lodGroupById = new Map();
    state.lodLeafByNode = new Map();
    state.lodCoarseByNode = new Map();
    for (const cluster of state.clusters) {
      const localParts = spatialBuckets(cluster.nodes, LOD_CONFIG.localDistance, LOD_CONFIG.localMaxMembers);
      const leaves = localParts.map((members, index) => makeLODGroup(1, cluster, members, [], index));
      for (const leaf of leaves) {
        state.lodLeaves.push(leaf);
        state.lodGroupById.set(leaf.id, leaf);
        for (const id of leaf.memberIDs) state.lodLeafByNode.set(id, leaf);
      }
      const coarseParts = spatialBuckets(leaves, LOD_CONFIG.coarseDistance, LOD_CONFIG.coarseMaxChildren);
      const coarseGroups = coarseParts.map((children, index) => {
        const members = children.flatMap(child => child.members);
        const group = makeLODGroup(2, cluster, members, children, index);
        for (const child of children) child.parentID = group.id;
        return group;
      });
      cluster.lodLeaves = leaves;
      cluster.lodCoarse = coarseGroups;
      for (const coarse of coarseGroups) {
        state.lodCoarse.push(coarse);
        state.lodGroupById.set(coarse.id, coarse);
        for (const id of coarse.memberIDs) state.lodCoarseByNode.set(id, coarse);
      }
    }
    state.lodDirty = true;
  }

  function lodGroupOpen(group, now) {
    return (state.lodOpenUntil.get(group.id) || 0) > now;
  }

  function nodeHot(id, now) {
    return (state.lodHotUntil.get(id) || 0) > now || (state.active.get(id) || 0) > 0.04 || state.focusNodeID === id || state.selected?.id === id;
  }

  function groupHasHotNode(group, now) {
    if (lodGroupOpen(group, now)) return true;
    for (const id of group.memberIDs) if (nodeHot(id, now)) return true;
    return false;
  }

  function revealLODNodes(ids, duration = LOD_CONFIG.revealNodeMS) {
    const now = performance.now();
    for (const id of ids || []) {
      if (!state.nodeById.has(id)) continue;
      state.lodHotUntil.set(id, Math.max(state.lodHotUntil.get(id) || 0, now + duration));
      const leaf = state.lodLeafByNode.get(id);
      const coarse = state.lodCoarseByNode.get(id);
      if (leaf) state.lodOpenUntil.set(leaf.id, Math.max(state.lodOpenUntil.get(leaf.id) || 0, now + duration));
      if (coarse) state.lodOpenUntil.set(coarse.id, Math.max(state.lodOpenUntil.get(coarse.id) || 0, now + Math.max(duration, LOD_CONFIG.revealParentMS)));
    }
    state.lodDirty = true;
  }

  function openLODGroup(group) {
    const now = performance.now();
    const duration = group.lodLevel === 2 ? LOD_CONFIG.revealParentMS : LOD_CONFIG.revealNodeMS;
    state.lodOpenUntil.set(group.id, now + duration);
    if (group.lodLevel === 1) {
      const parent = state.lodGroupById.get(group.parentID);
      if (parent) state.lodOpenUntil.set(parent.id, now + LOD_CONFIG.revealParentMS);
    }
    state.lodDirty = true;
    rebuildRenderGraph(now, true);
  }

  function updateLODZoomBand() {
    const before = state.lodZoomBand;
    if (state.lodZoomBand === 2 && state.zoom > 1.12) state.lodZoomBand = 1;
    else if (state.lodZoomBand === 1 && state.zoom < 0.96) state.lodZoomBand = 2;
    else if (state.lodZoomBand === 1 && state.zoom > 1.72) state.lodZoomBand = 0;
    else if (state.lodZoomBand === 0 && state.zoom < 1.48) state.lodZoomBand = 1;
    if (before !== state.lodZoomBand) state.lodDirty = true;
  }

  function addVisibleEntity(entity, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now) {
    entity.renderKind = entity.kind === 'supernode' ? 'supernode' : 'node';
    entity.memberCount = entity.kind === 'supernode' ? entity.memberCount : 1;
    entity.internalEdgeCount = 0;
    entity.externalEdgeCount = 0;
    const sampleID = entity.kind === 'supernode' ? entity.memberIDs[0] : entity.id;
    const oldVisibleID = oldVisibleForNode.get(sampleID);
    const oldEntity = oldVisibleID ? oldRenderNodeById.get(oldVisibleID) : null;
    if (!oldRenderNodeById.has(entity.id) && oldEntity) {
      entity.transitionFrom = {x: oldEntity.x, y: oldEntity.y, z: oldEntity.z};
      entity.transitionStart = now;
    }
    renderNodes.push(entity);
    renderNodeById.set(entity.id, entity);
    if (entity.kind === 'supernode') {
      for (const id of entity.memberIDs) visibleForNode.set(id, entity.id);
    } else {
      visibleForNode.set(entity.id, entity.id);
    }
  }

  function rebuildRenderGraph(now = performance.now(), force = false, retireOld = true) {
    if (!force && (!state.lodDirty || now - state.lodLastBuild < LOD_CONFIG.rebuildThrottleMS)) return;
    const oldRenderNodeById = state.renderNodeById;
    const oldVisibleForNode = state.visibleForNode;
    const renderNodes = [];
    const renderNodeById = new Map();
    const visibleForNode = new Map();

    if (!state.lodEnabled) {
      for (const node of state.nodes) addVisibleEntity(node, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
    } else {
      for (const coarse of state.lodCoarse) {
        const focused = coarse.clusterKey === state.focusClusterKey;
        const coarseOpen = state.lodZoomBand <= 1 || focused || groupHasHotNode(coarse, now);
        if (!coarseOpen && coarse.memberCount > 1) {
          addVisibleEntity(coarse, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
          continue;
        }
        for (const leaf of coarse.children) {
          const leafOpen = state.lodZoomBand === 0 || groupHasHotNode(leaf, now);
          if (!leafOpen && leaf.memberCount > 1) {
            addVisibleEntity(leaf, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
          } else {
            for (const node of leaf.members) addVisibleEntity(node, renderNodes, renderNodeById, visibleForNode, oldRenderNodeById, oldVisibleForNode, now);
          }
        }
      }
    }

    const renderEdgesByKey = new Map();
    const edgeRenderMap = new Map();
    for (const edge of state.edges) {
      const source = visibleForNode.get(edge.source);
      const target = visibleForNode.get(edge.target);
      if (!source || !target) continue;
      if (source === target) {
        const entity = renderNodeById.get(source);
        if (entity) entity.internalEdgeCount++;
        edgeRenderMap.set(edge.id, '');
        continue;
      }
      const key = `${source}\u0000${target}\u0000${edge.type || ''}\u0000${edge.origin || ''}\u0000${edge.status || ''}`;
      let aggregate = renderEdgesByKey.get(key);
      if (!aggregate) {
        aggregate = {
          id: `lod-edge:${hashString(key).toString(36)}`, source, target, type: edge.type, origin: edge.origin, status: edge.status,
          confidence: edge.confidence || 0, weight: 0, edgeCount: 0, weightSum: 0, maxConfidence: edge.confidence || 0,
          memberEdgeIDs: [], explanation: edge.explanation || ''
        };
        renderEdgesByKey.set(key, aggregate);
      }
      aggregate.edgeCount++;
      aggregate.weightSum += edge.weight || 1;
      aggregate.maxConfidence = Math.max(aggregate.maxConfidence, edge.confidence || 0);
      aggregate.confidence = aggregate.maxConfidence;
      aggregate.weight = Math.log1p(aggregate.weightSum);
      if (aggregate.memberEdgeIDs.length < 32) aggregate.memberEdgeIDs.push(edge.id);
      edgeRenderMap.set(edge.id, aggregate.id);
    }
    const renderEdges = [...renderEdgesByKey.values()];
    for (const edge of renderEdges) {
      const source = renderNodeById.get(edge.source);
      const target = renderNodeById.get(edge.target);
      if (source) source.externalEdgeCount += edge.edgeCount;
      if (target) target.externalEdgeCount += edge.edgeCount;
    }
    const renderIdleEdges = renderEdges.filter(edge => edge.edgeCount > 1 || edge.origin === 'ai-inference' || edge.type === 'contradicts' || edge.type === 'supports');
    const renderEdgeById = new Map(renderEdges.map(edge => [edge.id, edge]));
    const stats = {
      nodes: renderNodes.length,
      edges: renderEdges.length,
      hiddenNodes: Math.max(0, state.nodes.length - renderNodes.length),
      hiddenEdges: Math.max(0, state.edges.length - renderEdges.length)
    };
    commitRenderGraph(renderNodes, renderEdges, renderIdleEdges, renderNodeById, renderEdgeById, visibleForNode, edgeRenderMap, stats, now, retireOld);

    state.renderActive = new Map();
    for (const [id, strength] of state.active) {
      const visibleID = visibleForNode.get(id);
      if (visibleID) state.renderActive.set(visibleID, Math.max(state.renderActive.get(visibleID) || 0, strength));
    }
    state.renderEdgeActive = new Map();
    for (const [id, strength] of state.edgeActive) {
      const visibleID = edgeRenderMap.get(id);
      if (visibleID) state.renderEdgeActive.set(visibleID, Math.max(state.renderEdgeActive.get(visibleID) || 0, strength));
    }

    const renderCount = $('renderCount');
    if (renderCount) {
      renderCount.textContent = renderNodes.length.toLocaleString('de-DE');
      renderCount.parentElement.title = `${renderNodes.length.toLocaleString('de-DE')} von ${state.nodes.length.toLocaleString('de-DE')} Nodes · ${renderEdges.length.toLocaleString('de-DE')} aggregierte Edges`;
    }
    const lodButton = $('toggleLOD');
    if (lodButton) lodButton.title = `Hierarchisches LOD: ${renderNodes.length.toLocaleString('de-DE')} Render-Nodes / ${renderEdges.length.toLocaleString('de-DE')} Render-Edges`;
    state.lodLastBuild = now;
    state.lodDirty = false;
    state.lodNextExpiry = Infinity;
    for (const expires of state.lodOpenUntil.values()) if (expires > now) state.lodNextExpiry = Math.min(state.lodNextExpiry, expires);
    for (const expires of state.lodHotUntil.values()) if (expires > now) state.lodNextExpiry = Math.min(state.lodNextExpiry, expires);
    if (!Number.isFinite(state.lodNextExpiry)) state.lodNextExpiry = 0;
    if (state.hover && !renderNodeById.has(state.hover.id)) state.hover = null;
  }

  function updateLOD(now) {
    updateLODZoomBand();
    if (state.lodNextExpiry && now >= state.lodNextExpiry) state.lodDirty = true;
    if (state.lodDirty) rebuildRenderGraph(now);
  }

  function prepareCameraFrame() {
    const panelOffset = state.width > 1000 ? 110 : state.width > 780 ? 60 : 0;
    const usableW = Math.max(360, state.width - (state.width > 900 ? 470 : 40));
    state.cameraFrame = {
      cy: Math.cos(state.yaw), sy: Math.sin(state.yaw),
      cp: Math.cos(state.pitch), sp: Math.sin(state.pitch),
      centerX: state.width / 2 + panelOffset,
      centerY: state.height / 2 - 4,
      scale: Math.min(usableW * 0.42, state.height * 0.45) * state.zoom
    };
  }

  function projectCoordinates(x, y, z) {
    const camera = state.cameraFrame || (prepareCameraFrame(), state.cameraFrame);
    const x1 = x * camera.cy - z * camera.sy;
    const z1 = x * camera.sy + z * camera.cy;
    const y1 = y * camera.cp - z1 * camera.sp;
    const z2 = y * camera.sp + z1 * camera.cp;
    const perspective = 2.9 / (3.3 - z2 * 0.42);
    return {x: camera.centerX + x1 * camera.scale * perspective, y: camera.centerY + y1 * camera.scale * perspective, z: z2, p: perspective};
  }

  function rotatePoint(n) {
    const camera = state.cameraFrame || (prepareCameraFrame(), state.cameraFrame);
    const x1 = n.x * camera.cy - n.z * camera.sy;
    const z1 = n.x * camera.sy + n.z * camera.cy;
    const y1 = n.y * camera.cp - z1 * camera.sp;
    const z2 = n.y * camera.sp + z1 * camera.cp;
    return {x: x1, y: y1, z: z2};
  }

  function project(n) {
    return projectCoordinates(n.x, n.y, n.z);
  }


  function rgba(color, alpha) {
    return `rgba(${color[0]},${color[1]},${color[2]},${alpha})`;
  }

  function nearestAngle(current, target) {
    let delta = (target - current + Math.PI) % (Math.PI * 2) - Math.PI;
    if (delta < -Math.PI) delta += Math.PI * 2;
    return current + delta;
  }

  function setVisualMode(mode, evt = null, strength = 1) {
    if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) mode = 'living';
    if (mode === 'learning' && !state.runtimeSettings.learning_enabled) mode = 'living';
    if ((mode === 'thinking' || mode === 'researching') && !state.runtimeSettings.thinking_enabled) mode = 'living';
    const cfg = MODE_CONFIG[mode] || MODE_CONFIG.living;
    const now = performance.now();
    state.mode = mode;
    state.modeUntil = cfg.duration ? Math.max(state.modeUntil, now + cfg.duration) : 0;
    state.targetEnergy = mode === 'living' ? 0.08 : mode === 'learning' ? Math.min(0.72, 0.36 + strength * 0.22) : Math.min(1.35, 0.62 + strength * 0.58);
    state.zoomTarget = mode === 'living' || mode === 'learning' ? 1.02 : mode === 'thinking' ? 1.13 : mode === 'researching' ? 1.10 : 1.08;
    if (mode === 'learning') {
      state.focusClusterKey = '';
      state.focusNodeID = '';
      state.cameraTargetYaw = null;
      state.cameraTargetPitch = null;
    }
    const badge = $('visualMode');
    if (badge) {
      badge.className = `mode-status ${cfg.className}`;
      const b = badge.querySelector('b');
      const small = badge.querySelector('small');
      if (b) b.textContent = cfg.label;
      if (small) small.textContent = cfg.detail;
    }
    if (mode !== 'learning' && evt?.node_ids?.length) {
      const focus = state.nodeById.get(evt.node_ids[0]);
      if (focus) focusCamera(focus);
    }
  }

  function focusCamera(node) {
    state.focusNodeID = node.id;
    state.focusClusterKey = node.clusterKey || '';
    const point = nodePositionForView(node, state.viewMode);
    const x = point.x;
    const y = point.y;
    const z = point.z;
    const radial = Math.max(0.05, Math.hypot(x, z));
    state.cameraTargetYaw = nearestAngle(state.yaw, Math.atan2(x, z));
    state.cameraTargetPitch = Math.max(-0.62, Math.min(0.62, Math.atan2(y, radial)));
  }

  function updateVisualState(now, dt) {
    if (state.mode !== 'living' && now > state.modeUntil) {
      state.mode = 'living';
      state.focusClusterKey = '';
      state.focusNodeID = '';
      state.cameraTargetYaw = null;
      state.cameraTargetPitch = null;
      setVisualMode('living');
    }
    state.activityEnergy += (state.targetEnergy - state.activityEnergy) * Math.min(1, dt * 3.1);
    if (state.mode === 'living') state.targetEnergy = 0.06 + Math.sin(now * 0.00043) * 0.025;
    state.zoom += (state.zoomTarget - state.zoom) * Math.min(1, dt * 2.4);
    if (!state.dragging && state.cameraTargetYaw !== null && state.mode !== 'living') {
      state.yaw += (state.cameraTargetYaw - state.yaw) * Math.min(1, dt * 0.68);
      state.pitch += (state.cameraTargetPitch - state.pitch) * Math.min(1, dt * 0.68);
    } else if (state.autoRotate && !state.dragging) {
      const speed = state.mode === 'living' ? 0.026 : state.mode === 'learning' ? 0 : 0.009;
      state.yaw += dt * speed;
    }
    for (const [key, value] of state.clusterActive) {
      const next = value - dt * (state.mode === 'living' ? 0.16 : 0.23);
      if (next <= 0) state.clusterActive.delete(key); else state.clusterActive.set(key, next);
    }
    autonomousLivingPulse(now);
  }

  function autonomousLivingPulse(now) {
    if (state.viewMode !== 'neural') return;
    if (state.mode !== 'living' || now < state.nextAmbientAt || !state.clusters.length) return;
    const candidates = state.clusters.slice(0, Math.min(18, state.clusters.length));
    const cluster = candidates[state.ambientCursor % candidates.length];
    state.ambientCursor++;
    state.nextAmbientAt = now + 2400 + pseudo(cluster.key, state.ambientCursor) * 3600;
    const count = Math.min(cluster.nodes.length, 3 + Math.floor(pseudo(cluster.key, state.ambientCursor + 1) * 4));
    state.clusterActive.set(cluster.key, Math.max(state.clusterActive.get(cluster.key) || 0, 0.34));
    for (let i = 0; i < count; i++) {
      const node = cluster.nodes[(state.ambientCursor * 7 + i * 13) % cluster.nodes.length];
      state.active.set(node.id, Math.max(state.active.get(node.id) || 0, 0.2 + pseudo(node.id, i) * 0.15));
      const edges = (state.adjacency.get(node.id) || []).filter(edge => {
        const otherID = edge.source === node.id ? edge.target : edge.source;
        return state.nodeById.get(otherID)?.clusterKey === cluster.key;
      });
      if (edges.length) {
        const edge = edges[(state.ambientCursor + i) % edges.length];
        state.edgeActive.set(edge.id, Math.max(state.edgeActive.get(edge.id) || 0, 0.18));
        state.particles.push({edgeId: edge.id, t: -0.03 * i, speed: 0.18 + pseudo(edge.id, i) * 0.22, color: clusterFill(cluster, 0.65), size: 0.62});
      }
    }
  }

  function eventMode(evt) {
    if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) return 'living';
    if (!evt || evt.type === 'brain.idle') return 'living';
    if (evt.type?.includes('research')) return state.runtimeSettings.thinking_enabled ? 'researching' : 'living';
    if (evt.type?.includes('think') || evt.type?.startsWith('article.')) return state.runtimeSettings.thinking_enabled ? 'thinking' : 'living';
    if (evt.source === 'agent' || evt.source === 'knowledgebase' || evt.type?.includes('query')) return 'processing';
    if (evt.type === 'graph.updated' || evt.type === 'scan.started' || evt.type === 'embedding.batch' || evt.type?.startsWith('glpi.kb')) return state.runtimeSettings.learning_enabled ? 'learning' : 'living';
    return 'processing';
  }

  function modeParticleColor(mode) {
    return rgba((MODE_CONFIG[mode] || MODE_CONFIG.living).color, 0.92);
  }

  function researchEventID(evt) {
    return String(evt?.metadata?.research_id || `${evt?.type || 'research'}:${evt?.metadata?.research_query || evt?.query || ++state.researchSequence}`);
  }

  function researchResultIDs(evt) {
    const explicit = Array.isArray(evt?.metadata?.result_node_ids) ? evt.metadata.result_node_ids : [];
    if (explicit.length) return explicit.map(String);
    return (evt?.node_ids || []).filter(id => state.fullNodeById.get(id)?.kind === 'external' || state.nodeById.get(id)?.kind === 'external');
  }

  function researchSourceIDs(evt) {
    const explicit = Array.isArray(evt?.metadata?.source_node_ids) ? evt.metadata.source_node_ids : [];
    if (explicit.length) return explicit.map(String);
    const resultIDs = new Set(researchResultIDs(evt));
    return (evt?.node_ids || []).filter(id => !resultIDs.has(id));
  }

  function brainViewportCenter() {
    const panelOffset = state.width > 1000 ? 110 : state.width > 780 ? 60 : 0;
    return {x: state.width / 2 + panelOffset, y: state.height / 2 - 4};
  }

  function visibleScreenForNode(id) {
    const visibleID = state.visibleForNode.get(id);
    const renderNode = visibleID ? state.renderNodeById.get(visibleID) : null;
    if (renderNode?.screen) return renderNode.screen;
    const node = state.nodeById.get(id);
    if (node?.screen) return node.screen;
    return null;
  }

  function averageScreen(ids, fallback) {
    let x = 0, y = 0, count = 0;
    for (const id of ids || []) {
      const point = visibleScreenForNode(id);
      if (!point) continue;
      x += point.x;
      y += point.y;
      count++;
    }
    return count ? {x: x / count, y: y / count} : fallback;
  }

  function researchSourcePoints(animation, count) {
    const desired = Math.max(3, Math.min(state.performanceProfile.researchSources, count || 5));
    if (animation.sourcePoints?.length === desired) return animation.sourcePoints;
    const center = brainViewportCenter();
    const rx = Math.min(state.width * 0.34, state.height * 0.43);
    const ry = Math.min(state.height * 0.39, state.width * 0.28);
    const seed = hashString(animation.id);
    animation.sourcePoints = Array.from({length: desired}, (_, index) => {
      const angle = (index / desired) * Math.PI * 2 + (seed % 1000) / 1000 * Math.PI * 2;
      return {
        x: center.x + Math.cos(angle) * rx * (0.9 + pseudo(animation.id, index + 40) * 0.18),
        y: center.y + Math.sin(angle) * ry * (0.88 + pseudo(animation.id, index + 70) * 0.2),
        phase: pseudo(animation.id, index + 100) * Math.PI * 2
      };
    });
    return animation.sourcePoints;
  }

  function handleResearchAnimation(evt) {
    if (!evt?.type?.includes('research')) return;
    if (!evt?.metadata?.research_id) return;
    const timestamp = Date.parse(evt.timestamp || '') || Date.now();
    const id = researchEventID(evt);
    let animation = state.researchAnimations.get(id);
    if (!animation && Date.now() - timestamp > 30000) return;
    const now = performance.now();
    if (!animation) {
      animation = {
        id,
        stage: 'searching',
        startedAt: now,
        updatedAt: now,
        until: Number.POSITIVE_INFINITY,
        query: String(evt.metadata?.research_query || evt.query || ''),
        sourceNodeIDs: researchSourceIDs(evt),
        resultNodeIDs: [],
        resultCount: 0,
        titles: [],
        domains: [],
        sourcePoints: [],
        fallbackAnchor: brainViewportCenter()
      };
      state.researchAnimations.set(id, animation);
    }
    animation.updatedAt = now;
    animation.query = String(evt.metadata?.research_query || animation.query || '');
    const sourceIDs = researchSourceIDs(evt);
    if (sourceIDs.length) animation.sourceNodeIDs = [...new Set([...(animation.sourceNodeIDs || []), ...sourceIDs])];
    const minMS = Math.max(2000, Number(evt.metadata?.animation_min_ms || 2000));
    if (evt.type.endsWith('.started')) {
      animation.stage = 'searching';
      animation.until = Number.POSITIVE_INFINITY;
    } else if (evt.type.endsWith('.results')) {
      animation.resultCount = Number(evt.metadata?.result_count || 0);
      animation.titles = Array.isArray(evt.metadata?.result_titles) ? evt.metadata.result_titles.map(String).slice(0, 5) : [];
      animation.domains = Array.isArray(evt.metadata?.result_domains) ? evt.metadata.result_domains.map(String).slice(0, 5) : [];
      animation.stage = animation.resultCount > 0 ? 'results' : 'empty';
      animation.resultsAt = now;
      animation.until = now + minMS;
      researchSourcePoints(animation, animation.resultCount || 4);
    } else if (evt.type.endsWith('.ingested')) {
      const resultIDs = researchResultIDs(evt);
      animation.resultNodeIDs = [...new Set([...(animation.resultNodeIDs || []), ...resultIDs])];
      animation.resultCount = Number(evt.metadata?.result_count || animation.resultCount || resultIDs.length);
      animation.titles = Array.isArray(evt.metadata?.result_titles) ? evt.metadata.result_titles.map(String).slice(0, 5) : animation.titles;
      animation.domains = Array.isArray(evt.metadata?.result_domains) ? evt.metadata.result_domains.map(String).slice(0, 5) : animation.domains;
      animation.stage = 'ingested';
      animation.ingestedAt = now;
      animation.until = Number.POSITIVE_INFINITY;
      researchSourcePoints(animation, animation.resultCount || resultIDs.length || 4);
      refreshResearchNodes(animation, minMS);
    } else if (evt.type === 'research.failed' || evt.type === 'article.research.failed' || evt.type === 'research.test.failed') {
      animation.stage = 'failed';
      animation.error = String(evt.metadata?.error || 'Recherche fehlgeschlagen');
      animation.until = now + minMS;
    } else if (evt.type === 'article.research.completed') {
      animation.resultCount = Number(evt.metadata?.accepted_count || animation.resultCount || 0);
      animation.titles = Array.isArray(evt.metadata?.result_titles) ? evt.metadata.result_titles.map(String).slice(0, 5) : animation.titles;
      animation.stage = animation.resultCount > 0 ? 'ingested' : 'empty';
      animation.until = now + minMS;
    }
  }

  async function refreshResearchNodes(animation, minMS) {
    try {
      await loadGraph();
      const ids = animation.resultNodeIDs || [];
      forceDisplayNodes(ids, Math.max(6000, minMS + 4000));
      if (state.fullSnapshot && ids.some(id => !state.nodeById.has(id))) applyGraphSnapshot(state.fullSnapshot, true);
      for (const id of ids) {
        state.active.set(id, Math.max(state.active.get(id) || 0, 1.15));
        const visibleID = state.visibleForNode.get(id);
        if (visibleID) state.renderActive.set(visibleID, Math.max(state.renderActive.get(visibleID) || 0, 1.15));
      }
      animation.stage = 'ingested';
      animation.ingestedAt = performance.now();
      animation.until = animation.ingestedAt + Math.max(2000, minMS);
    } catch {
      animation.until = Math.max(animation.until || 0, performance.now() + Math.max(2000, minMS));
    }
  }

  function drawResearchHex(x, y, radius, color, alpha, rotation = 0) {
    ctx.beginPath();
    for (let i = 0; i < 6; i++) {
      const angle = rotation + i / 6 * Math.PI * 2;
      const px = x + Math.cos(angle) * radius;
      const py = y + Math.sin(angle) * radius;
      if (i === 0) ctx.moveTo(px, py); else ctx.lineTo(px, py);
    }
    ctx.closePath();
    ctx.strokeStyle = rgba(color, alpha);
    ctx.stroke();
  }

  function renderResearchAnimations(now) {
    if (!state.researchAnimations.size) return;
    const green = MODE_CONFIG.researching.color;
    ctx.save();
    ctx.globalCompositeOperation = 'screen';
    for (const [id, animation] of state.researchAnimations) {
      if (Number.isFinite(animation.until) && now > animation.until) {
        state.researchAnimations.delete(id);
        continue;
      }
      const anchor = averageScreen(animation.sourceNodeIDs, animation.fallbackAnchor || brainViewportCenter());
      animation.fallbackAnchor = anchor;
      const elapsed = Math.max(0, (now - animation.startedAt) / 1000);
      const pulse = 0.5 + 0.5 * Math.sin(elapsed * 6.2);
      const searching = animation.stage === 'searching';
      const failed = animation.stage === 'failed';
      const empty = animation.stage === 'empty';
      const color = failed || empty ? [255, 180, 82] : green;
      const ringAlpha = searching ? 0.34 : 0.22;
      ctx.lineWidth = 1.1;
      ctx.setLineDash([4, 8]);
      for (let ring = 0; ring < 3; ring++) {
        const radius = 24 + ring * 13 + pulse * 4;
        ctx.strokeStyle = rgba(color, ringAlpha - ring * 0.055);
        ctx.beginPath();
        ctx.arc(anchor.x, anchor.y, radius, elapsed * (0.7 + ring * 0.18), elapsed * (0.7 + ring * 0.18) + Math.PI * (1.15 + ring * 0.12));
        ctx.stroke();
      }
      ctx.setLineDash([]);
      const sweepAngle = elapsed * 2.7;
      ctx.strokeStyle = rgba(color, 0.35 + pulse * 0.18);
      ctx.lineWidth = 0.9;
      ctx.beginPath();
      ctx.moveTo(anchor.x, anchor.y);
      ctx.lineTo(anchor.x + Math.cos(sweepAngle) * 58, anchor.y + Math.sin(sweepAngle) * 58);
      ctx.stroke();

      const sourceCount = searching ? 5 : Math.max(1, animation.resultCount || animation.resultNodeIDs?.length || 1);
      const sourcePoints = researchSourcePoints(animation, sourceCount);
      const resultTargets = (animation.resultNodeIDs || []).map(visibleScreenForNode).filter(Boolean);
      for (let index = 0; index < sourcePoints.length; index++) {
        const source = sourcePoints[index];
        const target = resultTargets[index % Math.max(1, resultTargets.length)] || anchor;
        const sourcePulse = 0.5 + 0.5 * Math.sin(elapsed * 5 + source.phase);
        ctx.strokeStyle = rgba(color, searching ? 0.055 + sourcePulse * 0.04 : 0.12 + sourcePulse * 0.06);
        ctx.lineWidth = 0.65;
        ctx.beginPath();
        ctx.moveTo(source.x, source.y);
        const mx = (source.x + target.x) / 2 + Math.sin(source.phase) * 24;
        const my = (source.y + target.y) / 2 - 22;
        ctx.quadraticCurveTo(mx, my, target.x, target.y);
        ctx.stroke();
        drawResearchHex(source.x, source.y, 4.2 + sourcePulse * 1.7, color, 0.28 + sourcePulse * 0.34, elapsed * 0.35 + source.phase);
        if (!searching && !failed && !empty) {
          const phase = ((now - (animation.resultsAt || animation.startedAt)) / 760 + index * 0.17) % 1;
          const eased = phase * phase * (3 - 2 * phase);
          const packetX = source.x + (target.x - source.x) * eased;
          const packetY = source.y + (target.y - source.y) * eased - Math.sin(phase * Math.PI) * 26;
          if (state.lowPowerMode) {
            ctx.fillStyle = rgba(color, 0.72);
            ctx.beginPath();
            ctx.arc(packetX, packetY, 3.2, 0, Math.PI * 2);
            ctx.fill();
            ctx.fillStyle = 'rgba(255,255,255,.9)';
            ctx.beginPath();
            ctx.arc(packetX, packetY, 1.1, 0, Math.PI * 2);
            ctx.fill();
          } else {
            const glow = ctx.createRadialGradient(packetX, packetY, 0, packetX, packetY, 9);
            glow.addColorStop(0, 'rgba(255,255,255,.96)');
            glow.addColorStop(0.22, rgba(color, 0.85));
            glow.addColorStop(1, rgba(color, 0));
            ctx.fillStyle = glow;
            ctx.beginPath();
            ctx.arc(packetX, packetY, 9, 0, Math.PI * 2);
            ctx.fill();
          }
        }
      }

      if (animation.stage === 'ingested') {
        const settle = Math.max(0, Math.min(1, (now - animation.ingestedAt) / 2000));
        for (let index = 0; index < resultTargets.length; index++) {
          const target = resultTargets[index];
          const radius = 12 + (1 - settle) * 22 + Math.sin(elapsed * 8 + index) * 2;
          ctx.lineWidth = 1.2;
          drawResearchHex(target.x, target.y, radius, green, 0.5 * (1 - settle * 0.45), elapsed * 0.5 + index);
          ctx.strokeStyle = rgba(green, 0.24 * (1 - settle));
          ctx.beginPath();
          ctx.arc(target.x, target.y, radius * 1.45, 0, Math.PI * 2);
          ctx.stroke();
        }
      }

      ctx.save();
      ctx.globalCompositeOperation = 'source-over';
      const label = searching ? 'SEARXNG · QUELLENSUCHE' : failed ? 'SEARXNG · FEHLER' : empty ? 'SEARXNG · 0 QUELLEN' : animation.stage === 'ingested' ? `SEARXNG · ${animation.resultCount} QUELLEN VERKNÜPFT` : `SEARXNG · ${animation.resultCount} QUELLEN`;
      ctx.font = '700 9px Inter, system-ui';
      const width = ctx.measureText(label).width + 16;
      ctx.fillStyle = 'rgba(2,10,16,.88)';
      ctx.fillRect(anchor.x - width / 2, anchor.y + 49, width, 18);
      ctx.strokeStyle = rgba(color, 0.35);
      ctx.strokeRect(anchor.x - width / 2, anchor.y + 49, width, 18);
      ctx.fillStyle = rgba(color, 0.95);
      ctx.textAlign = 'center';
      ctx.textBaseline = 'middle';
      ctx.fillText(label, anchor.x, anchor.y + 58);
      ctx.restore();
    }
    ctx.restore();
  }

  function projectAnimatedNode(node, now) {
    const mode = state.viewMode;
    const point = nodePositionForView(node, mode);
    let x = point.x;
    let y = point.y;
    let z = point.z;

    let from = node.transitionFrom;
    let started = node.transitionStart;
    if (mode === 'honeycomb' && node.honeyTransitionFrom) {
      from = node.honeyTransitionFrom;
      started = node.honeyTransitionStart;
    } else if (mode === 'constellation' && node.constellationTransitionFrom) {
      from = node.constellationTransitionFrom;
      started = node.constellationTransitionStart;
    }
    if (from && started) {
      const t = Math.max(0, Math.min(1, (now - started) / TRANSITION_CONFIG.moveMS));
      const eased = t * t * (3 - 2 * t);
      x = from.x + (x - from.x) * eased;
      y = from.y + (y - from.y) * eased;
      z = from.z + (z - from.z) * eased;
      if (t >= 1) {
        if (mode === 'honeycomb') {
          node.honeyTransitionFrom = null;
          node.honeyTransitionStart = 0;
        } else if (mode === 'constellation') {
          node.constellationTransitionFrom = null;
          node.constellationTransitionStart = 0;
        }
        node.transitionFrom = null;
        node.transitionStart = 0;
      }
    }

    const cluster = node.cluster;
    if (cluster && mode === 'neural') {
      const clusterEnergy = state.clusterActive.get(cluster.key) || 0;
      const learning = state.mode === 'learning';
      const ambient = 1 + Math.sin(now * 0.00072 + (cluster.phase || 0)) * (learning ? 0.0025 : 0.012);
      const expansion = ambient + clusterEnergy * (learning ? 0.006 : 0.055) + (cluster.key === state.focusClusterKey && !learning ? state.activityEnergy * 0.028 : 0);
      x = cluster.x + (x - cluster.x) * expansion;
      y = cluster.y + (y - cluster.y) * expansion;
      z = cluster.z + (z - cluster.z) * expansion;
    } else if (cluster && mode === 'constellation') {
      const clusterEnergy = state.clusterActive.get(cluster.key) || 0;
      const focus = cluster.key === state.focusClusterKey ? state.activityEnergy : 0;
      const orbit = 1 + Math.sin(now * 0.00052 + cluster.constellationPhase) * 0.009 + clusterEnergy * 0.025 + focus * 0.016;
      x = cluster.constellationX + (x - cluster.constellationX) * orbit;
      y = cluster.constellationY + (y - cluster.constellationY) * orbit;
      z = cluster.constellationZ + (z - cluster.constellationZ) * orbit;
    }
    return projectCoordinates(x, y, z);
  }

  function entityFadeAlpha(entity, now) {
    if (entity?._fadeOutStart) {
      return Math.max(0, 1 - (now - entity._fadeOutStart) / (entity._fadeOutDuration || TRANSITION_CONFIG.exitMS));
    }
    if (entity?._fadeInStart) {
      const value = Math.max(0, Math.min(1, (now - entity._fadeInStart) / TRANSITION_CONFIG.enterMS));
      if (value >= 1) entity._fadeInStart = 0;
      return value * value * (3 - 2 * value);
    }
    return 1;
  }

  function drawBackground(now) {
    rebuildBackgroundCache();
    ctx.drawImage(state.backgroundCanvas, 0, 0, state.width, state.height);
    const movingStars = state.lowPowerMode ? 8 : 22;
    ctx.save();
    ctx.globalAlpha = state.lowPowerMode ? 0.08 : 0.12;
    for (let i = 0; i < movingStars; i++) {
      const x = (pseudo(`moving:${i}`, 1) * state.width + now * 0.003 * (i % 3 + 1)) % state.width;
      const y = pseudo(`moving:${i}`, 2) * state.height;
      ctx.fillStyle = i % 7 === 0 ? '#52e7ff' : '#6a8194';
      ctx.fillRect(x, y, i % 9 === 0 ? 1.4 : 0.7, i % 9 === 0 ? 1.4 : 0.7);
    }
    ctx.restore();
  }

  function renderActivityAura(now) {
    const cfg = MODE_CONFIG[state.mode] || MODE_CONFIG.living;
    const panelOffset = state.width > 1000 ? 110 : state.width > 780 ? 60 : 0;
    const cx = state.width / 2 + panelOffset;
    const cy = state.height / 2 - 4;
    const radius = Math.min(state.height * 0.48, Math.max(280, state.width * 0.34));
    const energy = Math.max(0.035, state.activityEnergy);
    ctx.save();
    ctx.globalCompositeOperation = 'screen';
    const aura = ctx.createRadialGradient(cx, cy, radius * 0.08, cx, cy, radius * 1.18);
    aura.addColorStop(0, rgba(cfg.color, 0.025 + energy * 0.038));
    aura.addColorStop(0.52, rgba(cfg.color, 0.012 + energy * 0.025));
    aura.addColorStop(1, rgba(cfg.color, 0));
    ctx.fillStyle = aura;
    ctx.fillRect(cx - radius * 1.25, cy - radius * 1.25, radius * 2.5, radius * 2.5);
    if (state.mode !== 'living') {
      const beat = 0.5 + 0.5 * Math.sin(now * 0.0075);
      ctx.strokeStyle = rgba(cfg.color, 0.035 + energy * 0.07 * beat);
      ctx.lineWidth = 1 + energy * 1.5;
      ctx.beginPath();
      ctx.arc(cx, cy, radius * (0.58 + beat * 0.025), 0, Math.PI * 2);
      ctx.stroke();
    }
    ctx.restore();
  }

  function renderClusterClouds(now) {
    if (state.viewMode !== 'neural') return;
    ctx.save();
    ctx.globalCompositeOperation = 'screen';
    const clouds = state.lowPowerMode
      ? state.clusters.filter(cluster => cluster.importance > 0.55 || cluster.key === state.focusClusterKey || (state.clusterActive.get(cluster.key) || 0) > 0.08).slice(0, state.performanceProfile.clouds)
      : state.clusters;
    for (const cluster of clouds) {
      const p = project(cluster);
      cluster.screen = p;
      const active = state.clusterActive.get(cluster.key) || 0;
      const focus = cluster.key === state.focusClusterKey ? state.activityEnergy : 0;
      const breathe = 1 + Math.sin(now * 0.00072 + (cluster.phase || 0)) * 0.035;
      const radius = Math.max(44, cluster.radius * 230 * p.p * breathe * (1 + active * 0.08 + focus * 0.1));
      const alpha = 0.045 + cluster.importance * 0.026 + active * 0.08 + focus * 0.09;
      const g = ctx.createRadialGradient(p.x, p.y, 0, p.x, p.y, radius);
      g.addColorStop(0, clusterFill(cluster, Math.min(0.25, alpha * 1.8)));
      g.addColorStop(0.32, clusterFill(cluster, Math.min(0.13, alpha)));
      g.addColorStop(0.78, clusterFill(cluster, 0.012 + focus * 0.025));
      g.addColorStop(1, clusterFill(cluster, 0));
      ctx.fillStyle = g;
      ctx.beginPath();
      ctx.ellipse(p.x, p.y, radius, radius * (0.68 + Math.max(-0.12, Math.min(0.12, p.z * 0.16))), p.z * 0.18, 0, Math.PI * 2);
      ctx.fill();
      if (state.cortexVisible && (cluster.importance > 0.62 || active > 0.15 || focus > 0.1)) {
        ctx.setLineDash([3, 7]);
        ctx.strokeStyle = clusterFill(cluster, 0.055 + active * 0.13 + focus * 0.16);
        ctx.lineWidth = 0.65 + focus * 1.1;
        ctx.beginPath();
        ctx.ellipse(p.x, p.y, radius * 0.86, radius * 0.58, p.z * 0.18, 0, Math.PI * 2);
        ctx.stroke();
        ctx.setLineDash([]);
      }
    }
    ctx.restore();
  }

  function renderConstellationGuides(now) {
    if (state.viewMode !== 'constellation') return;
    const visibleClusters = state.lowPowerMode ? state.clusters.slice(0, state.performanceProfile.clouds) : state.clusters;
    for (const cluster of visibleClusters) {
      cluster.screen = projectCoordinates(cluster.constellationX, cluster.constellationY, cluster.constellationZ);
    }

    ctx.save();
    ctx.globalCompositeOperation = 'screen';
    const linkLimit = state.lowPowerMode ? 34 : 96;
    const visibleLinkCount = state.edgesVisible ? Math.min(linkLimit, state.constellationLinks.length) : 0;
    for (let i = 0; i < visibleLinkCount; i++) {
      const link = state.constellationLinks[i];
      const a = link.source.screen;
      const b = link.target.screen;
      if (!a || !b) continue;
      const focus = link.source.key === state.focusClusterKey || link.target.key === state.focusClusterKey;
      const active = Math.max(state.clusterActive.get(link.source.key) || 0, state.clusterActive.get(link.target.key) || 0);
      const alpha = Math.min(0.24, 0.018 + Math.log1p(link.weight) * 0.018 + active * 0.09 + (focus ? 0.08 : 0));
      if (alpha < 0.022 && state.lowPowerMode) continue;
      const mx = (a.x + b.x) / 2;
      const my = (a.y + b.y) / 2 - Math.abs(a.x - b.x) * 0.045;
      ctx.strokeStyle = focus ? rgba(MODE_CONFIG.thinking.color, alpha + 0.07) : 'rgba(82,181,255,' + alpha + ')';
      ctx.lineWidth = 0.45 + Math.min(1.3, Math.log1p(link.weight) * 0.16) + active * 0.8;
      ctx.beginPath();
      ctx.moveTo(a.x, a.y);
      ctx.quadraticCurveTo(mx, my, b.x, b.y);
      ctx.stroke();
    }

    for (const cluster of visibleClusters) {
      const p = cluster.screen;
      if (!p) continue;
      const active = state.clusterActive.get(cluster.key) || 0;
      const focus = cluster.key === state.focusClusterKey ? state.activityEnergy : 0;
      const pulse = 1 + Math.sin(now * 0.001 + cluster.constellationPhase) * 0.035;
      const radius = Math.max(18, cluster.constellationRadius * state.cameraFrame.scale * p.p * 1.12 * pulse);
      const alpha = 0.05 + cluster.importance * 0.025 + active * 0.12 + focus * 0.12;
      if (!state.lowPowerMode || active > 0.05 || focus > 0.05 || cluster.importance > 0.62) {
        ctx.strokeStyle = clusterFill(cluster, alpha);
        ctx.lineWidth = 0.65 + active * 1.2 + focus;
        ctx.setLineDash(state.lowPowerMode ? [3, 10] : [3, 7]);
        ctx.beginPath();
        ctx.ellipse(p.x, p.y, radius, radius * 0.56, cluster.constellationPhase * 0.35, 0, Math.PI * 2);
        ctx.stroke();
        ctx.setLineDash([]);
      }
      const core = state.lowPowerMode ? 3.2 : 4.4;
      ctx.fillStyle = clusterFill(cluster, 0.42 + active * 0.35 + focus * 0.25);
      ctx.beginPath();
      ctx.arc(p.x, p.y, core + active * 2.5 + focus * 1.5, 0, Math.PI * 2);
      ctx.fill();
    }
    ctx.restore();
  }

  function renderConstellationLabels() {
    if (state.viewMode !== 'constellation' || state.width < 760) return;
    const maxLabels = state.lowPowerMode ? 6 : state.width > 1450 ? 12 : 8;
    const clusters = state.clusters
      .filter(cluster => cluster.screen && (cluster.importance > 0.5 || cluster.key === state.focusClusterKey || (state.clusterActive.get(cluster.key) || 0) > 0.2))
      .sort((a, b) => (b.key === state.focusClusterKey) - (a.key === state.focusClusterKey) || b.mass - a.mass)
      .slice(0, maxLabels);
    ctx.save();
    ctx.font = '600 9px Inter, system-ui';
    ctx.textAlign = 'center';
    ctx.textBaseline = 'middle';
    for (const cluster of clusters) {
      const p = cluster.screen;
      const text = `${cluster.label.length > 25 ? cluster.label.slice(0, 23) + '…' : cluster.label} · ${cluster.size}`;
      const w = ctx.measureText(text).width + 14;
      ctx.fillStyle = 'rgba(2,8,16,.76)';
      ctx.fillRect(p.x - w / 2, p.y + 13, w, 16);
      ctx.strokeStyle = clusterFill(cluster, cluster.key === state.focusClusterKey ? 0.62 : 0.22);
      ctx.strokeRect(p.x - w / 2, p.y + 13, w, 16);
      ctx.fillStyle = clusterFill(cluster, 0.86);
      ctx.fillText(text, p.x, p.y + 21);
    }
    ctx.restore();
  }

  function renderViewGhosts(now) {
    if (!state.viewGhostNodes.length) return;
    ctx.save();
    ctx.globalCompositeOperation = 'screen';
    state.viewGhostNodes = state.viewGhostNodes.filter(ghost => now - ghost.startedAt < ghost.duration);
    for (const ghost of state.viewGhostNodes) {
      const t = Math.max(0, Math.min(1, (now - ghost.startedAt) / ghost.duration));
      const alpha = (1 - t) * (state.lowPowerMode ? 0.16 : 0.24);
      ctx.fillStyle = rgba(ghost.color || [82, 231, 255], alpha);
      ctx.beginPath();
      ctx.arc(ghost.screen.x, ghost.screen.y, ghost.kind === 'supernode' ? 3.4 : 1.8, 0, Math.PI * 2);
      ctx.fill();
    }
    ctx.restore();
  }

  function renderCortexLabels() {
    if (state.viewMode !== 'neural') return;
    if (!state.cortexVisible || state.width < 850) return;
    const visible = state.clusters
      .filter(cluster => cluster.screen && (cluster.importance > 0.52 || cluster.key === state.focusClusterKey))
      .sort((a, b) => (b.key === state.focusClusterKey) - (a.key === state.focusClusterKey) || b.mass - a.mass)
      .slice(0, state.width > 1450 ? 12 : 8);
    const occupied = [];
    ctx.save();
    ctx.font = '600 10px Inter, system-ui';
    ctx.textBaseline = 'middle';
    for (const cluster of visible) {
      const p = cluster.screen;
      const label = cluster.label.length > 28 ? cluster.label.slice(0, 26) + '…' : cluster.label;
      const count = cluster.size.toLocaleString('de-DE');
      const text = `${label} · ${count}`;
      const w = ctx.measureText(text).width + 16;
      let x = p.x + (cluster.side === 'left' ? -w - 16 : 16);
      let y = p.y - 8;
      x = Math.max(372, Math.min(state.width - w - 24, x));
      y = Math.max(100, Math.min(state.height - 78, y));
      if (occupied.some(box => Math.abs(box.x - x) < (box.w + w) * 0.48 && Math.abs(box.y - y) < 22)) continue;
      occupied.push({x, y, w});
      const focus = cluster.key === state.focusClusterKey;
      ctx.strokeStyle = clusterFill(cluster, focus ? 0.75 : 0.28);
      ctx.lineWidth = focus ? 1.25 : 0.6;
      ctx.beginPath();
      ctx.moveTo(p.x, p.y);
      ctx.lineTo(cluster.side === 'left' ? x + w : x, y + 8);
      ctx.stroke();
      ctx.fillStyle = focus ? 'rgba(3,10,18,.94)' : 'rgba(3,10,18,.78)';
      ctx.fillRect(x, y, w, 17);
      ctx.strokeStyle = clusterFill(cluster, focus ? 0.65 : 0.18);
      ctx.strokeRect(x, y, w, 17);
      ctx.fillStyle = clusterFill(cluster, focus ? 1 : 0.82);
      ctx.fillText(text, x + 8, y + 8.5);
    }
    ctx.restore();
  }

  function renderEdges(now) {
    if (state.viewMode !== 'neural' || !state.edgesVisible) return;
    ctx.save();
    ctx.globalCompositeOperation = 'screen';
    const maxIdle = state.performanceProfile.idleEdges;
    const idle = state.renderIdleEdges;
    const stride = idle.length > maxIdle ? Math.ceil(idle.length / maxIdle) : 1;
    const included = new Set();

    const drawEdge = (edge, fade = 1, retiring = false) => {
      const lookup = retiring ? id => state.renderNodeById.get(id) || state.retiringRenderNodeById.get(id) : id => state.renderNodeById.get(id);
      const a = lookup(edge.source);
      const b = lookup(edge.target);
      if (!a?.screen || !b?.screen || fade <= 0.01) return;
      const active = retiring ? 0 : state.renderEdgeActive.get(edge.id) || 0;
      const density = Math.min(1, Math.log1p(edge.edgeCount || 1) / 5.5);
      const base = active > 0.01 ? 0.08 + active * 0.7 : edge.origin === 'ai-inference' ? 0.026 : edge.type === 'categorized_as' ? 0.017 : 0.006 + density * 0.014;
      const alpha = Math.min(0.88, base) * fade;
      if (alpha < 0.01) return;
      const mx = (a.screen.x + b.screen.x) / 2;
      const my = (a.screen.y + b.screen.y) / 2 - Math.abs(a.screen.x - b.screen.x) * 0.035;
      ctx.beginPath();
      ctx.moveTo(a.screen.x, a.screen.y);
      ctx.quadraticCurveTo(mx, my, b.screen.x, b.screen.y);
      ctx.strokeStyle = edge.origin === 'ai-inference' ? `rgba(255,180,82,${alpha})` : `rgba(82,181,255,${alpha})`;
      ctx.lineWidth = 0.25 + active * 1.7 + (edge.confidence || 0) * 0.18 + density * 0.65;
      ctx.stroke();
    };

    for (let i = 0; i < idle.length; i += stride) {
      const edge = idle[i];
      included.add(edge.id);
      drawEdge(edge, entityFadeAlpha(edge, now), false);
    }
    for (const id of state.renderEdgeActive.keys()) {
      if (included.has(id)) continue;
      const edge = state.renderEdgeById.get(id);
      if (edge) drawEdge(edge, entityFadeAlpha(edge, now), false);
    }
    for (const edge of state.retiringRenderEdges) {
      const fade = entityFadeAlpha(edge, now);
      drawEdge(edge, fade, true);
    }
    ctx.restore();
  }

  function renderParticles(dt) {
    if (state.viewMode !== 'neural') return;
    const maxParticles = state.performanceProfile.particles;
    if (state.particles.length > maxParticles) state.particles.splice(0, state.particles.length - maxParticles);
    ctx.save();
    ctx.globalCompositeOperation = 'lighter';
    for (let i = state.particles.length - 1; i >= 0; i--) {
      const particle = state.particles[i];
      particle.t += dt * particle.speed;
      const original = state.edgeById.get(particle.edgeId);
      const renderEdgeID = state.edgeRenderMap.get(particle.edgeId);
      const renderEdge = renderEdgeID ? state.renderEdgeById.get(renderEdgeID) : null;
      let a = renderEdge && state.renderNodeById.get(renderEdge.source);
      let b = renderEdge && state.renderNodeById.get(renderEdge.target);
      if (!renderEdge && original) {
        const visibleID = state.visibleForNode.get(original.source);
        const sameID = state.visibleForNode.get(original.target);
        if (visibleID && visibleID === sameID) {
          a = state.renderNodeById.get(visibleID);
          b = a;
        }
      }
      if (!original || !a?.screen || !b?.screen || particle.t > 1.08) {
        state.particles.splice(i, 1);
        continue;
      }
      const q = Math.min(1, particle.t);
      const ease = q * q * (3 - 2 * q);
      let x, y;
      if (a === b) {
        const angle = q * Math.PI * 2 + hashString(particle.edgeId) * 0.00001;
        const orbit = 8 + Math.min(18, Math.log1p(a.memberCount || 1) * 3);
        x = a.screen.x + Math.cos(angle) * orbit;
        y = a.screen.y + Math.sin(angle) * orbit * 0.55;
      } else {
        x = a.screen.x + (b.screen.x - a.screen.x) * ease;
        y = a.screen.y + (b.screen.y - a.screen.y) * ease - Math.sin(q * Math.PI) * 18;
      }
      const size = 8 * (particle.size || 1) * (0.82 + state.activityEnergy * 0.28);
      if (state.lowPowerMode) {
        ctx.fillStyle = particle.color;
        ctx.globalAlpha = 0.5;
        ctx.beginPath();
        ctx.arc(x, y, Math.max(1.6, size * 0.38), 0, Math.PI * 2);
        ctx.fill();
        ctx.globalAlpha = 1;
        ctx.fillStyle = 'rgba(255,255,255,.88)';
        ctx.beginPath();
        ctx.arc(x, y, Math.max(0.8, size * 0.12), 0, Math.PI * 2);
        ctx.fill();
      } else {
        const grad = ctx.createRadialGradient(x, y, 0, x, y, size);
        grad.addColorStop(0, 'rgba(255,255,255,.95)');
        grad.addColorStop(0.22, particle.color);
        grad.addColorStop(1, 'rgba(82,231,255,0)');
        ctx.fillStyle = grad;
        ctx.beginPath();
        ctx.arc(x, y, size, 0, Math.PI * 2);
        ctx.fill();
      }
    }
    ctx.restore();
  }

  function renderNodes(now, dt) {
    for (const [id, value] of state.active) {
      const next = Math.max(0, value - dt * 0.44);
      if (next > 0) state.active.set(id, next); else state.active.delete(id);
    }
    for (const [id, value] of state.renderActive) {
      const next = Math.max(0, value - dt * 0.44);
      if (next > 0) state.renderActive.set(id, next); else state.renderActive.delete(id);
    }
    pruneRetiringEntities(now);

    const candidates = [];
    for (const node of state.renderNodes) {
      node._renderKey = `live:${node.id}`;
      node.screen = projectAnimatedNode(node, now);
      candidates.push(node);
    }
    for (const node of state.retiringRenderNodes) {
      node._renderKey = node._renderKey || `retired:${node.id}:${node._fadeOutStart}`;
      node.screen = projectAnimatedNode(node, now);
      candidates.push(node);
    }

    const shouldSort = !state.lowPowerMode || now >= state.projectedSortAt || state.projected.length !== candidates.length;
    if (shouldSort) {
      candidates.sort((a, b) => a.screen.z - b.screen.z);
      state.projected = candidates;
      state.projectedSortAt = now + (state.lowPowerMode ? (state.viewMode === 'neural' ? 140 : 600) : 0);
    } else {
      const byKey = new Map(candidates.map(node => [node._renderKey, node]));
      const ordered = [];
      for (const old of state.projected) {
        const node = byKey.get(old._renderKey);
        if (node) {
          ordered.push(node);
          byKey.delete(old._renderKey);
        }
      }
      ordered.push(...byKey.values());
      state.projected = ordered;
    }

    ctx.save();
    ctx.globalCompositeOperation = 'lighter';
    const ecoBatched = new Set();
    if (state.lowPowerMode && state.viewMode !== 'neural') {
      const buckets = new Map();
      for (const node of state.projected) {
        if (node._fadeOutStart || entityFadeAlpha(node, now) < 0.98 || node.kind === 'supernode') continue;
        const act = state.renderActive.get(node.id) || state.active.get(node.id) || 0;
        if (act > 0.04 || state.hover?.id === node.id || state.selected?.id === node.id) continue;
        const key = nodeColor(node, state.viewMode === 'honeycomb' ? 0.28 : 0.31);
        if (!buckets.has(key)) buckets.set(key, []);
        buckets.get(key).push(node);
        ecoBatched.add(node._renderKey);
      }
      for (const [fill, nodes] of buckets) {
        ctx.fillStyle = fill;
        ctx.beginPath();
        for (const node of nodes) {
          const size = Math.max(0.75, Math.min(1.75, 0.65 + node.screen.p * 0.7));
          ctx.rect(node.screen.x - size, node.screen.y - size, size * 2, size * 2);
        }
        ctx.fill();
      }
    }
    for (const node of state.projected) {
      if (ecoBatched.has(node._renderKey)) continue;
      const honeycomb = state.viewMode === 'honeycomb';
      const constellation = state.viewMode === 'constellation';
      const isGroup = node.kind === 'supernode';
      const retiring = Boolean(node._fadeOutStart);
      const fade = entityFadeAlpha(node, now);
      if (fade <= 0.01) continue;
      const act = retiring ? 0 : state.renderActive.get(node.id) || (isGroup ? 0 : state.active.get(node.id) || 0);
      const hover = !retiring && state.hover?.id === node.id;
      const selected = !retiring && state.selected?.id === node.id;
      const degree = state.viewMode === 'neural' ? Math.min(60, isGroup ? node.externalEdgeCount || 0 : (state.adjacency.get(node.id) || []).length) : 0;
      const memberScale = isGroup ? Math.min(7.5, 1.1 + Math.log2((node.memberCount || 1) + 1) * 0.72) : 0;
      const baseWeight = honeycomb ? 0.72 : constellation ? 0.62 : isGroup ? memberScale : Math.max(0.25, Math.min(2.5, (node.weight || 1) * 0.85 + Math.sqrt(degree) * 0.05));
      const breathe = 0.5 + 0.5 * Math.sin(now * 0.0014 + Number(node.x || 0) * 7 + Number(node.y || 0) * 9);
      const clusterEnergy = state.viewMode === 'neural' || constellation ? state.clusterActive.get(node.clusterKey) || 0 : 0;
      const focused = node.clusterKey === state.focusClusterKey ? state.activityEnergy : 0;
      const r = (isGroup ? 2.4 + baseWeight : 1.05 + baseWeight * 0.7 + node.screen.p * 0.55) * (1 + act * 0.48 + clusterEnergy * 0.06 + focused * 0.025) + (hover || selected ? 1.6 : 0);
      const idleDim = state.mode === 'living' ? 0 : 0.025;
      const baseAlpha = honeycomb ? 0.23 : constellation ? 0.25 : (isGroup ? 0.42 : 0.17);
      const alpha = Math.min(1, baseAlpha - idleDim + node.screen.p * (honeycomb || constellation ? 0.04 : 0.1) + Math.min(0.22, degree * 0.004) + act * 0.46 + clusterEnergy * 0.08 + focused * 0.04 + (hover || selected ? 0.18 : 0)) * fade;
      const haloWanted = act > 0.05 || hover || selected || (!state.lowPowerMode && state.viewMode === 'neural' && (node.kind === 'ai-think' || isGroup));
      if (haloWanted) {
        const haloRadius = r * (isGroup ? 2.35 + act * 2.4 : 3 + act * 4);
        if (state.lowPowerMode) {
          ctx.strokeStyle = nodeColor(node, Math.min(0.65, (0.16 + act * 0.34) * fade));
          ctx.lineWidth = 0.8 + act * 1.2;
          ctx.beginPath();
          ctx.arc(node.screen.x, node.screen.y, haloRadius * 0.58, 0, Math.PI * 2);
          ctx.stroke();
        } else {
          const halo = ctx.createRadialGradient(node.screen.x, node.screen.y, 0, node.screen.x, node.screen.y, haloRadius);
          halo.addColorStop(0, nodeColor(node, ((isGroup ? 0.28 : 0.48) + act * 0.35) * fade));
          halo.addColorStop(0.24, nodeColor(node, ((isGroup ? 0.09 : 0.14) + act * 0.2) * fade));
          halo.addColorStop(1, nodeColor(node, 0));
          ctx.fillStyle = halo;
          ctx.beginPath();
          ctx.arc(node.screen.x, node.screen.y, haloRadius, 0, Math.PI * 2);
          ctx.fill();
        }
      }
      ctx.fillStyle = nodeColor(node, alpha);
      ctx.beginPath();
      ctx.arc(node.screen.x, node.screen.y, r * (0.84 + breathe * 0.1), 0, Math.PI * 2);
      ctx.fill();
      if (isGroup) {
        ctx.strokeStyle = nodeColor(node, (0.4 + act * 0.3) * fade);
        ctx.lineWidth = 0.7 + Math.min(1.4, Math.log1p(node.internalEdgeCount || 0) * 0.12);
        ctx.beginPath();
        ctx.arc(node.screen.x, node.screen.y, r * 1.28 + breathe * 1.3, 0, Math.PI * 2);
        ctx.stroke();
        if (!state.lowPowerMode && node.memberCount >= 8 && r > 5) {
          ctx.save();
          ctx.globalCompositeOperation = 'source-over';
          ctx.font = '600 8px Inter, system-ui';
          ctx.textAlign = 'center';
          ctx.textBaseline = 'middle';
          ctx.fillStyle = `rgba(235,248,255,${0.82 * fade})`;
          ctx.fillText(node.memberCount > 999 ? `${Math.round(node.memberCount / 100) / 10}k` : String(node.memberCount), node.screen.x, node.screen.y + 0.5);
          ctx.restore();
        }
      } else if (state.viewMode === 'neural' && node.kind === 'ai-think') {
        ctx.strokeStyle = nodeColor(node, 0.55 * fade);
        ctx.lineWidth = 0.7;
        ctx.beginPath();
        ctx.arc(node.screen.x, node.screen.y, r * 2 + breathe * 1.8, 0, Math.PI * 2);
        ctx.stroke();
      }
    }
    ctx.restore();

    if (state.labels) {
      ctx.save();
      ctx.font = '10px Inter, system-ui';
      ctx.textBaseline = 'middle';
      let labelsDrawn = 0;
      const maxLabels = state.lowPowerMode ? 12 : 36;
      for (const node of state.projected) {
        if (node._fadeOutStart || labelsDrawn >= maxLabels) continue;
        const act = state.renderActive.get(node.id) || (node.kind === 'supernode' ? 0 : state.active.get(node.id) || 0);
        const isGroup = node.kind === 'supernode';
        if (!(act > 0.45 || state.hover?.id === node.id || state.selected?.id === node.id || (state.viewMode === 'neural' && !isGroup && node.kind === 'ai-think' && node.screen.p > 1.02))) continue;
        const raw = isGroup ? `${node.label} · ${node.memberCount}` : node.label;
        const label = raw.length > 42 ? raw.slice(0, 40) + '…' : raw;
        const w = ctx.measureText(label).width + 12;
        ctx.fillStyle = 'rgba(2,7,14,.84)';
        ctx.fillRect(node.screen.x + 8, node.screen.y - 8, w, 16);
        ctx.fillStyle = nodeColor(node, 0.95);
        ctx.fillText(label, node.screen.x + 14, node.screen.y);
        labelsDrawn++;
      }
      ctx.restore();
    }
  }

  function renderWaves(dt) {
    ctx.save();
    ctx.globalCompositeOperation = 'screen';
    for (let i = state.waves.length - 1; i >= 0; i--) {
      const w = state.waves[i];
      w.life -= dt * (w.decay || 1);
      w.r += dt * (w.speed || 130);
      if (w.life <= 0) {
        state.waves.splice(i, 1);
        continue;
      }
      const color = w.color || MODE_CONFIG.living.color;
      ctx.strokeStyle = rgba(color, w.life * (w.alpha || 0.22));
      ctx.lineWidth = (w.width || 1.3) * (0.8 + state.activityEnergy * 0.45);
      if (w.dashed) ctx.setLineDash([4, 8]);
      ctx.beginPath();
      ctx.arc(w.x, w.y, w.r, 0, Math.PI * 2);
      ctx.stroke();
      ctx.setLineDash([]);
    }
    for (let i = state.bursts.length - 1; i >= 0; i--) {
      const burst = state.bursts[i];
      burst.life -= dt * 0.72;
      if (burst.life <= 0) {
        state.bursts.splice(i, 1);
        continue;
      }
      const rayCount = burst.rays || 16;
      const length = (1 - burst.life) * (burst.length || 115) + 18;
      ctx.strokeStyle = rgba(burst.color, burst.life * 0.18);
      ctx.lineWidth = 0.7;
      for (let ray = 0; ray < rayCount; ray++) {
        const angle = ray / rayCount * Math.PI * 2 + burst.spin;
        const inner = 9 + (1 - burst.life) * 13;
        ctx.beginPath();
        ctx.moveTo(burst.x + Math.cos(angle) * inner, burst.y + Math.sin(angle) * inner);
        ctx.lineTo(burst.x + Math.cos(angle) * length, burst.y + Math.sin(angle) * length);
        ctx.stroke();
      }
      burst.spin += dt * 0.35;
    }
    ctx.restore();
  }

  function updateFPS(now) {
    state.fpsFrames++;
    const elapsed = now - state.fpsWindowStarted;
    if (elapsed < 750) return;
    state.fps = Math.round(state.fpsFrames * 1000 / elapsed);
    state.fpsFrames = 0;
    state.fpsWindowStarted = now;
    const output = $('fpsCount');
    if (output) {
      output.textContent = String(state.fps);
      output.parentElement.title = `${state.fps} FPS · ${state.lowPowerMode ? 'Eco-Modus' : 'volle Qualität'} · DPR ${state.dpr.toFixed(2)}`;
    }
  }

  function frame(now) {
    const minFrameMS = state.performanceProfile.minFrameMS;
    if (minFrameMS && state.lastPaint && now - state.lastPaint < minFrameMS) {
      requestAnimationFrame(frame);
      return;
    }
    state.lastPaint = now;
    const dt = Math.min(0.075, (now - state.last) / 1000);
    state.last = now;
    updateFPS(now);
    updateVisualState(now, dt);
    expireForcedDisplayNodes();
    if (state.viewMode === 'neural') updateLOD(now);
    prepareCameraFrame();
    drawBackground(now);
    renderViewGhosts(now);
    if (state.viewMode === 'neural') {
      renderActivityAura(now);
      renderClusterClouds(now);
      renderEdges(now);
      renderParticles(dt);
    } else if (state.viewMode === 'constellation') {
      renderActivityAura(now);
      renderConstellationGuides(now);
    }
    renderNodes(now, dt);
    renderResearchAnimations(now);
    if (state.viewMode === 'neural') {
      renderWaves(dt);
      renderCortexLabels();
    } else if (state.viewMode === 'constellation') {
      renderConstellationLabels();
      state.waves.length = 0;
      state.bursts.length = 0;
    } else {
      state.waves.length = 0;
      state.bursts.length = 0;
    }
    for (const [id, value] of state.edgeActive) {
      const next = value - dt * (state.mode === 'living' ? 0.34 : 0.5);
      if (next <= 0) state.edgeActive.delete(id); else state.edgeActive.set(id, next);
    }
    for (const [id, value] of state.renderEdgeActive) {
      const next = value - dt * (state.mode === 'living' ? 0.34 : 0.5);
      if (next <= 0) state.renderEdgeActive.delete(id); else state.renderEdgeActive.set(id, next);
    }
    requestAnimationFrame(frame);
  }

  requestAnimationFrame(frame);

  function activate(evt) {
    handleResearchAnimation(evt);
    const requestedDuration = evt?.type?.includes('think') || evt?.type?.includes('research') ? 45000 : 32000;
    forceDisplayNodes(evt?.node_ids || [], requestedDuration);
    const strength = Math.max(0.15, Math.min(1.4, evt.strength || 0.6));
    const mode = eventMode(evt);
    const substep = evt.type === 'node.activated' || evt.type === 'edges.traversed';
    if (evt.type !== 'brain.idle' && !substep) setVisualMode(mode, evt, strength);
    if (state.viewMode === 'neural' && evt.type !== 'brain.idle' && mode !== 'learning' && evt.node_ids?.length) {
      const duration = mode === 'thinking' || mode === 'researching' ? 45000 : LOD_CONFIG.revealNodeMS;
      revealLODNodes(evt.node_ids, duration);
      rebuildRenderGraph(performance.now(), !substep);
    }
    if (substep && !state.focusClusterKey && evt.node_ids?.length) {
      const focus = state.nodeById.get(evt.node_ids[0]);
      if (focus) focusCamera(focus);
    }
    const modeColor = (MODE_CONFIG[mode] || MODE_CONFIG.living).color;
    for (const id of evt.node_ids || []) {
      const node = state.nodeById.get(id);
      state.active.set(id, Math.max(state.active.get(id) || 0, strength));
      const visibleID = state.visibleForNode.get(id);
      if (visibleID) state.renderActive.set(visibleID, Math.max(state.renderActive.get(visibleID) || 0, strength));
      if (node?.clusterKey) state.clusterActive.set(node.clusterKey, Math.max(state.clusterActive.get(node.clusterKey) || 0, strength));
    }
    if (state.viewMode === 'neural') {
      for (const id of evt.edge_ids || []) {
        state.edgeActive.set(id, Math.max(state.edgeActive.get(id) || 0, strength));
        const renderID = state.edgeRenderMap.get(id);
        if (renderID) state.renderEdgeActive.set(renderID, Math.max(state.renderEdgeActive.get(renderID) || 0, strength));
        const baseCount = state.lowPowerMode ? (mode === 'thinking' ? 3 : 2) : (mode === 'thinking' ? 7 : 5);
        const count = evt.type === 'brain.idle' ? 1 : Math.ceil((state.lowPowerMode ? 1 : 3) + strength * baseCount);
        for (let i = 0; i < count; i++) {
          state.particles.push({edgeId: id, t: -i * 0.065, speed: 0.32 + Math.random() * (mode === 'thinking' ? 0.9 : 0.62), color: modeParticleColor(mode), size: mode === 'thinking' ? 1.12 : mode === 'researching' ? 0.95 : 0.86});
        }
      }
    }
    if (evt.type !== 'brain.idle') {
      state.pulses++;
      $('pulseCount').textContent = state.pulses.toLocaleString('de-DE');
      if (state.viewMode === 'neural') {
        const focus = evt.node_ids?.[0] ? state.nodeById.get(evt.node_ids[0]) : null;
        const visibleID = focus ? state.visibleForNode.get(focus.id) : '';
        const visibleFocus = visibleID ? state.renderNodeById.get(visibleID) : null;
        const x = visibleFocus?.screen?.x ?? focus?.screen?.x ?? state.width / 2;
        const y = visibleFocus?.screen?.y ?? focus?.screen?.y ?? state.height / 2;
        const waveCount = mode === 'thinking' ? 3 : mode === 'researching' ? 2 : 1;
        for (let i = 0; i < waveCount; i++) {
          state.waves.push({x, y, r: 18 + i * 17, life: 1 - i * 0.08, color: modeColor, speed: 118 + i * 35, width: mode === 'thinking' ? 1.8 : 1.25, alpha: mode === 'thinking' ? 0.3 : 0.24, dashed: mode === 'researching' && i === 1});
        }
        if (mode === 'thinking' || mode === 'researching') state.bursts.push({x, y, life: 1, color: modeColor, rays: mode === 'thinking' ? 22 : 16, length: mode === 'thinking' ? 150 : 115, spin: pseudo(evt.id || evt.type, 9) * Math.PI});
      }
    }
    addLog(evt);
    if (evt.type === 'graph.updated') {
      scheduleGraphLoad(180);
      scheduleSourceOptionsLoad(320);
    }
    if (evt.type?.startsWith('think.') || evt.type?.startsWith('article.') || evt.type?.startsWith('research.') || evt.type?.startsWith('autonomous.research.')) { loadStatus(); scheduleAutonomousTasksLoad(); }
  }

  function shouldLog(evt) {
    if (!evt || evt.type === 'brain.idle' || evt.type === 'node.activated' || evt.type === 'edges.traversed') return false;
    const important = new Set(['scan.started', 'graph.updated', 'embedding.batch', 'query.started', 'query.completed', 'think.queued', 'think.cycle.started', 'think.cycle.completed', 'think.cycle.failed', 'think.no_candidate', 'think.started', 'think.relation.created', 'think.rejected', 'think.failed', 'think.paused', 'research.started', 'research.results', 'research.ingested', 'research.failed', 'research.test.started', 'research.test.results', 'research.test.failed', 'article.plan.started', 'article.plan.skipped', 'article.research.round.started', 'article.research.round.completed', 'article.research.reused', 'article.research.started', 'article.research.results', 'article.research.candidates', 'article.research.fetch.started', 'article.research.fetch.completed', 'article.research.fetch.failed', 'article.research.evidence.accepted', 'article.research.evidence.rejected', 'article.research.ingested', 'article.research.learned', 'article.research.completed', 'article.research.failed', 'article.draft.started', 'article.draft.rejected', 'article.created', 'article.duplicate', 'article.skipped', 'article.failed', 'agent.run', 'glpi.kb.synced', 'glpi.kb.failed', 'persistence.flushed', 'persistence.failed', 'autonomous.research.scan.started', 'autonomous.research.scan.completed', 'autonomous.research.scan.failed', 'autonomous.research.task.queued', 'autonomous.research.task.started', 'autonomous.research.task.completed', 'autonomous.research.task.failed', 'autonomous.research.task.cancelled']);
    if (!important.has(evt.type) && !(evt.source === 'agent' || evt.source === 'knowledgebase' || evt.source === 'external' || evt.query)) return false;
    const fingerprint = `${evt.type}|${evt.message || ''}|${evt.query || evt.metadata?.research_query || ''}|${evt.source || ''}|${evt.metadata?.research_id || ''}|${evt.metadata?.result_url || ''}|${evt.metadata?.round || evt.metadata?.research_round || ''}`;
    const last = state.lastLogFingerprint.get(fingerprint) || 0;
    const now = Date.now();
    const cooldown = evt.type === 'embedding.batch' ? 45000 : evt.type === 'graph.updated' ? 15000 : 4000;
    if (now - last < cooldown) return false;
    state.lastLogFingerprint.set(fingerprint, now);
    return true;
  }

  function formatEvent(evt) {
    const time = new Date(evt.timestamp || Date.now()).toLocaleTimeString('de-DE', {hour: '2-digit', minute: '2-digit', second: '2-digit'});
    const nodeObjects = (evt.node_ids || []).map(id => state.nodeById.get(id)).filter(Boolean);
    const nodes = nodeObjects.map(node => node.label);
    const regions = [...new Set(nodeObjects.map(node => node.clusterKey).filter(Boolean))].slice(0, 3);
    const titleMap = {
      'scan.started': 'Synchronisation',
      'graph.updated': 'Graph aktualisiert',
      'embedding.batch': 'Embeddings',
      'query.started': evt.source === 'knowledgebase' ? 'Knowledgebase-Suche' : evt.source === 'agent' ? 'Agent-Suche' : 'Suchanfrage',
      'query.completed': 'Suche abgeschlossen',
      'think.queued': 'AI-THINK eingeplant',
      'think.cycle.started': 'Autonomer AI-THINK-Zyklus',
      'think.cycle.completed': 'AI-THINK-Zyklus beendet',
      'think.cycle.failed': 'AI-THINK-Zyklus fehlgeschlagen',
      'think.no_candidate': 'Keine neue Beziehung',
      'think.started': 'AI-THINK prüft Zusammenhang',
      'think.relation.created': 'Relation übernommen',
      'think.rejected': 'AI-THINK verwirft Edge',
      'think.failed': 'AI-THINK Fehler',
      'think.paused': 'AI-THINK pausiert',
      'research.started': 'Relationsrecherche gestartet',
      'research.results': 'SearXNG-Ergebnisse empfangen',
      'research.ingested': 'Webquellen im Graph verknüpft',
      'research.failed': 'Relationsrecherche fehlgeschlagen',
      'research.test.started': 'SearXNG-Test gestartet',
      'research.test.results': 'SearXNG-Test erfolgreich',
      'research.test.failed': 'SearXNG-Test fehlgeschlagen',
      'article.plan.started': 'Artikelmehrwert wird geprüft',
      'article.plan.skipped': 'Artikelsynthese übersprungen',
      'article.research.round.started': 'Recherche-Runde gestartet',
      'article.research.round.completed': 'Recherche-Runde bewertet',
      'article.research.reused': 'Gelernte Webbelege wiederverwendet',
      'article.research.started': 'Artikelrecherche gestartet',
      'article.research.results': 'SearXNG-Kandidaten gefunden',
      'article.research.candidates': 'Quellenkandidaten bewertet',
      'article.research.fetch.started': 'Webquelle wird geladen',
      'article.research.fetch.completed': 'Webquelle als Volltext extrahiert',
      'article.research.fetch.failed': 'Webquelle nicht nutzbar',
      'article.research.evidence.accepted': 'Webquelle als Beleg akzeptiert',
      'article.research.evidence.rejected': 'Webquelle fachlich verworfen',
      'article.research.ingested': 'Geprüfte Artikelquellen verknüpft',
      'article.research.learned': 'Webbelege semantisch gelernt',
      'article.research.completed': 'Artikelrecherche abgeschlossen',
      'article.research.failed': 'Artikelrecherche fehlgeschlagen',
      'article.draft.started': 'KB-Entwurf wird geschrieben',
      'article.draft.rejected': 'KB-Entwurf abgelehnt',
      'article.created': 'KB-Entwurf erstellt',
      'article.duplicate': 'KB-Entwurf bereits vorhanden',
      'article.skipped': 'Noch kein belastbarer Artikel',
      'article.failed': 'Artikelsynthese fehlgeschlagen',
      'agent.run': 'Agent-Lauf',
      'glpi.kb.synced': 'GLPI-KB synchronisiert',
      'glpi.kb.failed': 'GLPI-KB Fehler',
      'persistence.flushed': 'Gebündelt gespeichert',
      'persistence.failed': 'Speicherfehler',
      'autonomous.research.scan.started': 'Autonome Wissenslückensuche',
      'autonomous.research.scan.completed': 'Graphanalyse abgeschlossen',
      'autonomous.research.scan.failed': 'Autonome Graphanalyse fehlgeschlagen',
      'autonomous.research.task.queued': 'Rechercheaufgabe eingeplant',
      'autonomous.research.task.started': 'Autonome Recherche gestartet',
      'autonomous.research.task.completed': 'Wissen autonom angereichert',
      'autonomous.research.task.failed': 'Autonome Recherche zurückgestellt',
      'autonomous.research.task.cancelled': 'Rechercheaufgabe abgebrochen'
    };
    const title = titleMap[evt.type] || evt.phase || evt.source || 'Aktivität';
    const meta = [];
    if (evt.metadata?.nodes) meta.push(`${Number(evt.metadata.nodes).toLocaleString('de-DE')} Nodes`);
    if (evt.metadata?.edges) meta.push(`${Number(evt.metadata.edges).toLocaleString('de-DE')} Edges`);
    if (evt.metadata?.documents) meta.push(`${Number(evt.metadata.documents).toLocaleString('de-DE')} GLPI-Beiträge`);
    if (evt.metadata?.files !== undefined) meta.push(`${Number(evt.metadata.files).toLocaleString('de-DE')} Dateien`);
    if (evt.metadata?.graph_version !== undefined) meta.push(`Graph v${Number(evt.metadata.graph_version).toLocaleString('de-DE')}`);
    if (evt.metadata?.duration_ms) meta.push(`${Number(evt.metadata.duration_ms).toLocaleString('de-DE')} ms`);
    if (evt.metadata?.priority !== undefined) meta.push(`${Math.round(Number(evt.metadata.priority) * 100)}% Priorität`);
    if (evt.metadata?.task_id) meta.push(`Task ${String(evt.metadata.task_id).slice(0, 8)}`);
    if (evt.metadata?.evidence_count !== undefined) meta.push(`${Number(evt.metadata.evidence_count)} Belege`);
    if (evt.metadata?.queries_executed !== undefined) meta.push(`${Number(evt.metadata.queries_executed)} Queries`);
    if (evt.metadata?.pages_fetched !== undefined) meta.push(`${Number(evt.metadata.pages_fetched)} Volltexte`);
    if (evt.metadata?.article_created === true) meta.push('KB-Entwurf erstellt');
    if (evt.metadata?.hit_count) meta.push(`${Number(evt.metadata.hit_count).toLocaleString('de-DE')} Treffer`);
    if (evt.metadata?.used_nodes) meta.push(`${Number(evt.metadata.used_nodes).toLocaleString('de-DE')} Quellen`);
    if (evt.metadata?.batch_count) meta.push(`Batch ${Number(evt.metadata.batch_count).toLocaleString('de-DE')}`);
    if (evt.metadata?.semantic_similarity !== undefined) meta.push(`${Math.round(Number(evt.metadata.semantic_similarity) * 100)}% Nähe`);
    if (evt.metadata?.confidence !== undefined) meta.push(`${Math.round(Number(evt.metadata.confidence) * 100)}% Konfidenz`);
    if (evt.metadata?.relation_type) meta.push(String(evt.metadata.relation_type));
    if (evt.metadata?.research_result_count) meta.push(`${Number(evt.metadata.research_result_count)} Webquellen`);
    if (evt.metadata?.reused_count !== undefined) meta.push(`${Number(evt.metadata.reused_count)} gespeicherte Volltextbelege`);
    if (evt.metadata?.result_count !== undefined) meta.push(`${Number(evt.metadata.result_count)} SearXNG-Treffer`);
    if (evt.metadata?.research_round !== undefined || evt.metadata?.round !== undefined) meta.push(`Runde ${Number(evt.metadata.research_round ?? evt.metadata.round)}`);
    if (evt.metadata?.question_count !== undefined) meta.push(`${Number(evt.metadata.question_count)} Forschungsfragen`);
    if (evt.metadata?.candidate_count !== undefined) meta.push(`${Number(evt.metadata.candidate_count)} Kandidaten`);
    if (evt.metadata?.eligible_count !== undefined) meta.push(`${Number(evt.metadata.eligible_count)} vorabrufgeeignet`);
    if (evt.metadata?.strict_eligible_count !== undefined) meta.push(`${Number(evt.metadata.strict_eligible_count)} strikt geeignet`);
    if (evt.metadata?.exploration_eligible_count !== undefined) meta.push(`${Number(evt.metadata.exploration_eligible_count)} explorativ geeignet`);
    if (evt.metadata?.exploration_selected_count !== undefined) meta.push(`${Number(evt.metadata.exploration_selected_count)} Explorationsabrufe`);
    if (evt.metadata?.selected_count !== undefined) meta.push(`${Number(evt.metadata.selected_count)} zum Volltextabruf`);
    if (evt.metadata?.gate_rejected_count !== undefined) meta.push(`${Number(evt.metadata.gate_rejected_count)} am Gate verworfen`);
    if (evt.metadata?.duplicate_skipped_count) meta.push(`${Number(evt.metadata.duplicate_skipped_count)} bereits geprüft`);
    if (evt.metadata?.fetch_limit_skipped_count) meta.push(`${Number(evt.metadata.fetch_limit_skipped_count)} wegen Fetch-Limit zurückgestellt`);
    if (evt.metadata?.fetched_count !== undefined) meta.push(`${Number(evt.metadata.fetched_count)} Volltexte`);
    if (evt.metadata?.accepted_count !== undefined) meta.push(`${Number(evt.metadata.accepted_count)} Belege akzeptiert`);
    if (evt.metadata?.rejected_count !== undefined) meta.push(`${Number(evt.metadata.rejected_count)} Quellen verworfen`);
    if (evt.metadata?.remaining_critical_gaps !== undefined) {
      const value = Array.isArray(evt.metadata.remaining_critical_gaps) ? evt.metadata.remaining_critical_gaps.length : Number(evt.metadata.remaining_critical_gaps);
      meta.push(`${value} kritische Lücken offen`);
    }
    if (evt.metadata?.resolved_critical_gaps !== undefined) meta.push(`${Number(evt.metadata.resolved_critical_gaps)} kritische Lücken gelöst`);
    if (evt.metadata?.characters !== undefined) meta.push(`${Number(evt.metadata.characters).toLocaleString('de-DE')} Zeichen Volltext`);
    if (evt.metadata?.dimensions !== undefined) meta.push(`${Number(evt.metadata.dimensions)} Dimensionen`);
    if (evt.metadata?.relevance !== undefined) meta.push(`${Math.round(Number(evt.metadata.relevance) * 100)}% relevant`);
    if (evt.metadata?.source_quality) meta.push(String(evt.metadata.source_quality));
    if (evt.metadata?.source_quality_score !== undefined) meta.push(`${Math.round(Number(evt.metadata.source_quality_score) * 100)}% Quellenqualität`);
    const researchURL = evt.metadata?.final_url || evt.metadata?.result_url || '';
    if (researchURL) {
      try { meta.push(new URL(String(researchURL)).hostname); } catch {}
    }
    if (evt.metadata?.actionable === true) meta.push('konkrete Schritte');
    if (evt.metadata?.language) meta.push(String(evt.metadata.language));
    if (evt.metadata?.gap_id) meta.push(`Lücke ${String(evt.metadata.gap_id)}`);
    if (Array.isArray(evt.metadata?.result_domains) && evt.metadata.result_domains.length) meta.push(evt.metadata.result_domains.slice(0, 3).join(' · '));
    if (evt.metadata?.searxng_http_status) meta.push(`HTTP ${Number(evt.metadata.searxng_http_status)}`);
    if (evt.metadata?.error_kind) meta.push(String(evt.metadata.error_kind));
    if (evt.metadata?.searxng_content_type) meta.push(String(evt.metadata.searxng_content_type).split(';')[0]);
    if (evt.metadata?.trigger) meta.push(evt.metadata.trigger === 'manual' ? 'manuell' : 'automatisch');
    if (evt.metadata?.batch_size) meta.push(`${Number(evt.metadata.batch_size)} Schritte`);
    if (evt.metadata?.checked !== undefined) meta.push(`${Number(evt.metadata.checked)} geprüft`);
    if (evt.metadata?.created !== undefined) meta.push(`${Number(evt.metadata.created)} erstellt`);
    if (evt.metadata?.relations_created !== undefined) meta.push(`${Number(evt.metadata.relations_created)} Relationen`);
    if (evt.metadata?.articles_created !== undefined) meta.push(`${Number(evt.metadata.articles_created)} Artikel`);
    if (evt.metadata?.articles_skipped !== undefined) meta.push(`${Number(evt.metadata.articles_skipped)} Artikel übersprungen`);
    if (evt.metadata?.productive_sources !== undefined) meta.push(`${Number(evt.metadata.productive_sources)} produktive Quellen`);
    if (evt.metadata?.ai_sources !== undefined) meta.push(`${Number(evt.metadata.ai_sources)} AI-Quellen`);
    if (evt.metadata?.production_ratio !== undefined) meta.push(`${Math.round(Number(evt.metadata.production_ratio) * 100)}% Produktionswissen`);
    if (evt.metadata?.generation_depth !== undefined) meta.push(`Tiefe ${Number(evt.metadata.generation_depth)}`);
    if (evt.metadata?.action) meta.push(String(evt.metadata.action).toUpperCase());
    if (evt.metadata?.article_type) meta.push(String(evt.metadata.article_type));
    if (evt.metadata?.reason) meta.push(`Grund: ${String(evt.metadata.reason)}`);
    if (evt.metadata?.field) meta.push(`Feld: ${String(evt.metadata.field)}`);
    if (evt.metadata?.actual !== undefined && evt.metadata?.required !== undefined) meta.push(`${String(evt.metadata.actual)} / benötigt ${String(evt.metadata.required)}`);
    if (evt.metadata?.rejected !== undefined) meta.push(`${Number(evt.metadata.rejected)} verworfen`);
    if (evt.metadata?.comparisons) meta.push(`${Number(evt.metadata.comparisons).toLocaleString('de-DE')} Vergleiche`);
    if (evt.metadata?.candidate_comparisons) meta.push(`${Number(evt.metadata.candidate_comparisons).toLocaleString('de-DE')} Vergleiche`);
    if (evt.metadata?.threshold !== undefined) meta.push(`Schwelle ${Math.round(Number(evt.metadata.threshold) * 100)}%`);
    if (evt.metadata?.prefetch_minimum_relevance !== undefined) meta.push(`Vorabruf ab ${Math.round(Number(evt.metadata.prefetch_minimum_relevance) * 100)}%`);
    if ((evt.node_ids || []).length) meta.push(`${evt.node_ids.length} aktive Knoten`);
    if ((evt.edge_ids || []).length) meta.push(`${evt.edge_ids.length} aktive Kanten`);
    if (evt.metadata?.ticket_id) meta.push(`Ticket ${evt.metadata.ticket_id}`);
    if (evt.metadata?.outcome) meta.push(String(evt.metadata.outcome));
    if (evt.metadata?.path) meta.push(String(evt.metadata.path).split('/').slice(-2).join('/'));
    const eventQuery = evt.query || evt.metadata?.research_query || '';
    if (eventQuery) meta.push('Query');
    let message = evt.message || eventQuery || evt.type;
    if (evt.metadata?.assessment_reason && (evt.type === 'article.research.evidence.accepted' || evt.type === 'article.research.evidence.rejected')) {
      message = `${message} · ${String(evt.metadata.assessment_reason)}`;
    }
    if ((evt.type === 'think.started' || evt.type === 'think.relation.created' || evt.type === 'think.rejected' || evt.type === 'research.started' || evt.type?.startsWith('article.')) && nodes.length >= 2) {
      message = `${message} · ${nodes.slice(0, 2).join(' ↔ ')}`;
    } else if (evt.type === 'query.started' && evt.query) {
      message = `${evt.source === 'agent' ? 'Agent' : evt.source === 'knowledgebase' ? 'Knowledgebase' : 'Brain'} verarbeitet eine Anfrage.`;
    }
    const candidateDecisions = Array.isArray(evt.metadata?.candidate_decisions) ? evt.metadata.candidate_decisions : [];
    const candidateModeLabel = mode => ({strict: 'STRIKT', exploration: 'EXPLORATION', deferred: 'ZURÜCKGESTELLT', rejected: 'VERWORFEN', duplicate: 'BEREITS GEPRÜFT'}[String(mode)] || String(mode || '').toUpperCase());
    const candidateLabels = candidateDecisions.map(candidate => {
      const relevance = Math.round(Number(candidate?.relevance || 0) * 100);
      const quality = Math.round(Number(candidate?.source_quality_score || 0) * 100);
      const reason = Array.isArray(candidate?.reasons) && candidate.reasons.length ? ` · ${String(candidate.reasons[0])}` : '';
      return `${candidateModeLabel(candidate?.mode)} · R ${relevance}% · Q ${quality}% · ${String(candidate?.title || candidate?.domain || 'Quelle')}${reason}`;
    });
    const sourceTitles = candidateLabels.length ? candidateLabels : Array.isArray(evt.metadata?.result_titles) ? evt.metadata.result_titles : Array.isArray(evt.metadata?.selected_titles) ? evt.metadata.selected_titles : evt.metadata?.result_title ? [evt.metadata.result_title] : [];
    const sources = sourceTitles.map(String).slice(0, candidateLabels.length ? 8 : 4);
    return {time, title, message, meta, query: eventQuery, regions, sources, error: evt.metadata?.error ? String(evt.metadata.error) : '', endpoint: evt.metadata?.searxng_base_url ? String(evt.metadata.searxng_base_url) : '', cls: evt.type?.includes('think') || evt.type?.startsWith('article.') ? (evt.type?.includes('research') ? 'research' : 'think') : evt.type?.includes('research') ? 'research' : evt.type === 'graph.updated' || evt.type === 'scan.started' || evt.type?.startsWith('glpi.kb') || evt.type?.startsWith('persistence.') ? 'graph' : evt.source === 'agent' ? 'agent' : ''};
  }

  function addLog(evt) {
    if (!shouldLog(evt)) return;
    const out = formatEvent(evt);
    const item = document.createElement('div');
    item.className = 'activity-item ' + out.cls;
    item.innerHTML = `<b>${escapeHTML(out.title)}</b><time>${out.time}</time><p>${escapeHTML(out.message)}</p>${out.regions.length ? `<div class="region">Cortex: ${out.regions.map(escapeHTML).join(' · ')}</div>` : ''}${out.meta.length ? `<div class="meta">${out.meta.map(v => `<span>${escapeHTML(v)}</span>`).join('')}</div>` : ''}${out.sources?.length ? `<div class="sources">${out.sources.map((source, index) => `<span><i>${index + 1}</i>${escapeHTML(source)}</span>`).join('')}</div>` : ''}${out.query ? `<div class="query">${escapeHTML(out.query)}</div>` : ''}${out.error ? `<div class="error-detail">${out.endpoint ? `${escapeHTML(out.endpoint)}\n` : ''}${escapeHTML(out.error)}</div>` : ''}`;
    const log = $('activityLog');
    log.prepend(item);
    while (log.children.length > 18) log.removeChild(log.lastChild);
  }

  const stream = new EventSource('/api/stream');
  stream.addEventListener('activity', e => {
    try {
      activate(JSON.parse(e.data));
      setSystem('lebt', true);
    } catch {}
  });
  stream.onerror = () => setSystem('verbindet', false);
  stream.onopen = () => setSystem('lebt', true);

  $('viewNeural').addEventListener('click', () => applyViewMode('neural', true));
  $('viewHoneycomb').addEventListener('click', () => applyViewMode('honeycomb', true));
  $('viewConstellation').addEventListener('click', () => applyViewMode('constellation', true));

  $('toggleLearning').addEventListener('click', async e => {
    const button = e.currentTarget;
    button.disabled = true;
    state.runtimeSettings.learning_enabled = !state.runtimeSettings.learning_enabled;
    try {
      await persistRuntimeSettings();
      if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) setVisualMode('living');
    } catch (err) {
      state.runtimeSettings.learning_enabled = !state.runtimeSettings.learning_enabled;
      addLog({type: 'runtime.settings.failed', source: 'ui', phase: 'control', message: `Learning konnte nicht umgestellt werden: ${err.message}`, timestamp: new Date().toISOString()});
    } finally {
      button.disabled = false;
      syncRuntimeControls();
    }
  });

  $('toggleThinking').addEventListener('click', async e => {
    const button = e.currentTarget;
    button.disabled = true;
    state.runtimeSettings.thinking_enabled = !state.runtimeSettings.thinking_enabled;
    try {
      await persistRuntimeSettings();
      if (!state.runtimeSettings.learning_enabled && !state.runtimeSettings.thinking_enabled) setVisualMode('living');
    } catch (err) {
      state.runtimeSettings.thinking_enabled = !state.runtimeSettings.thinking_enabled;
      addLog({type: 'runtime.settings.failed', source: 'ui', phase: 'control', message: `Thinking konnte nicht umgestellt werden: ${err.message}`, timestamp: new Date().toISOString()});
    } finally {
      button.disabled = false;
      syncRuntimeControls();
    }
  });

  $('testResearch')?.addEventListener('click', async e => {
    const button = e.currentTarget;
    const feedback = $('researchTestFeedback');
    const query = String($('researchTestQuery')?.value || '').trim();
    button.disabled = true;
    if (feedback) feedback.textContent = 'Test läuft …';
    try {
      const result = await api('/api/research/test', {method: 'POST', body: JSON.stringify({query, limit: 4})});
      renderResearchStatus(result.diagnostic || {});
      if (feedback) feedback.textContent = `${Number(result.diagnostic?.result_count || result.results?.length || 0)} Treffer empfangen`;
    } catch (err) {
      renderResearchStatus(err.data?.diagnostic || {configured: true, ok: false, checked_at: new Date().toISOString(), error: err.message});
      if (feedback) feedback.textContent = err.message;
    } finally {
      button.disabled = false;
      await loadStatus();
    }
  });

  $('openSettings').addEventListener('click', openSettingsPanel);
  $('closeSettings').addEventListener('click', closeSettingsPanel);
  $('settingsBackdrop').addEventListener('click', closeSettingsPanel);
  $('sourceSearch').addEventListener('input', e => renderSourceFilters(e.currentTarget.value));
  $('settingsLearning').addEventListener('change', e => { if (state.settingsDraft) state.settingsDraft.learning_enabled = e.currentTarget.checked; });
  $('settingsThinking').addEventListener('change', e => { if (state.settingsDraft) state.settingsDraft.thinking_enabled = e.currentTarget.checked; });
  $('settingsProcessingPrecise')?.addEventListener('click', () => { if (state.settingsDraft) { state.settingsDraft.processing_mode = 'precise'; syncRuntimeControls(); } });
  $('settingsProcessingClustered')?.addEventListener('click', () => { if (state.settingsDraft) { state.settingsDraft.processing_mode = 'clustered'; syncRuntimeControls(); } });
  $('settingsLowPower').addEventListener('change', e => { if (state.settingsDraft) state.settingsDraft.low_power_mode = e.currentTarget.checked; });
  $('settingsAutonomousResearch')?.addEventListener('change', e => { if (state.settingsDraft) state.settingsDraft.autonomous_research_enabled = e.currentTarget.checked; });
  $('settingsAutonomousIdleOnly')?.addEventListener('change', e => { if (state.settingsDraft) state.settingsDraft.autonomous_research_idle_only = e.currentTarget.checked; });
  $('settingsAutonomousMinPriority')?.addEventListener('input', e => { if (state.settingsDraft) state.settingsDraft.autonomous_research_min_priority = Math.max(0, Math.min(1, Number(e.currentTarget.value) || 0)); });
  $('settingsAutonomousMaxPerDay')?.addEventListener('input', e => { if (state.settingsDraft) state.settingsDraft.autonomous_research_max_tasks_per_day = Math.max(1, Math.min(500, Math.trunc(Number(e.currentTarget.value) || 1))); });
  $('settingsAutonomousPerCycle')?.addEventListener('input', e => { if (state.settingsDraft) state.settingsDraft.autonomous_research_tasks_per_cycle = Math.max(1, Math.min(8, Math.trunc(Number(e.currentTarget.value) || 1))); });
  $('settingsMaxDisplayNodes').addEventListener('input', e => {
    if (!state.settingsDraft) return;
    state.settingsDraft.max_display_nodes = Math.max(0, Math.min(500000, Math.trunc(Number(e.currentTarget.value) || 0)));
    updateDisplayLimitHint(state.settingsDraft.max_display_nodes);
  });
  function selectSettingsView(mode) {
    if (state.settingsDraft) state.settingsDraft.view_mode = mode;
    for (const candidate of ['Neural', 'Honeycomb', 'Constellation']) {
      $(`settingsView${candidate}`).classList.toggle('active', candidate.toLowerCase() === mode);
    }
  }
  $('settingsViewNeural').addEventListener('click', () => selectSettingsView('neural'));
  $('settingsViewHoneycomb').addEventListener('click', () => selectSettingsView('honeycomb'));
  $('settingsViewConstellation').addEventListener('click', () => selectSettingsView('constellation'));
  $('settingsPanel').addEventListener('change', e => {
    const input = e.target.closest('[data-source-filter]');
    if (!input || !state.settingsDraft) return;
    const key = input.dataset.sourceFilter;
    const property = `${key}_sources`;
    const selected = new Set(normalizedSourceValues(state.settingsDraft[property] || []));
    if (input.checked) selected.add(input.value); else selected.delete(input.value);
    state.settingsDraft[property] = [...selected];
    renderFilterScopeSummary();
  });
  document.querySelectorAll('[data-clear-source-filter]').forEach(button => button.addEventListener('click', () => {
    if (!state.settingsDraft) return;
    state.settingsDraft[`${button.dataset.clearSourceFilter}_sources`] = [];
    renderSourceFilters($('sourceSearch').value);
    renderFilterScopeSummary();
  }));
  document.querySelectorAll('[data-node-limit]').forEach(button => button.addEventListener('click', () => {
    if (!state.settingsDraft) return;
    const value = Math.max(0, Math.min(500000, Math.trunc(Number(button.dataset.nodeLimit) || 0)));
    state.settingsDraft.max_display_nodes = value;
    $('settingsMaxDisplayNodes').value = String(value);
    updateDisplayLimitHint(value);
  }));

  $('saveSettings').addEventListener('click', async e => {
    if (!state.settingsDraft) return;
    const button = e.currentTarget;
    const feedback = $('settingsFeedback');
    button.disabled = true;
    feedback.textContent = 'Einstellungen werden übernommen …';
    try {
      state.settingsDraft.learning_enabled = $('settingsLearning').checked;
      state.settingsDraft.thinking_enabled = $('settingsThinking').checked;
      state.settingsDraft.low_power_mode = $('settingsLowPower').checked;
      state.settingsDraft.processing_mode = state.settingsDraft.processing_mode === 'clustered' ? 'clustered' : 'precise';
      state.settingsDraft.max_display_nodes = Math.max(0, Math.min(500000, Math.trunc(Number($('settingsMaxDisplayNodes').value) || 0)));
      state.settingsDraft.autonomous_research_enabled = Boolean($('settingsAutonomousResearch')?.checked);
      state.settingsDraft.autonomous_research_idle_only = $('settingsAutonomousIdleOnly')?.checked !== false;
      state.settingsDraft.autonomous_research_min_priority = Math.max(0, Math.min(1, Number($('settingsAutonomousMinPriority')?.value || 0.65)));
      state.settingsDraft.autonomous_research_max_tasks_per_day = Math.max(1, Math.min(500, Math.trunc(Number($('settingsAutonomousMaxPerDay')?.value || 12))));
      state.settingsDraft.autonomous_research_tasks_per_cycle = Math.max(1, Math.min(8, Math.trunc(Number($('settingsAutonomousPerCycle')?.value || 1))));
      await persistRuntimeSettings(state.settingsDraft);
      feedback.textContent = 'Aktiv · Speicherung erfolgt gebündelt mit dem nächsten Flush.';
      setTimeout(closeSettingsPanel, 550);
    } catch (err) {
      feedback.textContent = `Fehler: ${err.message}`;
    } finally {
      button.disabled = false;
    }
  });

  $('queueAutonomousResearch')?.addEventListener('click', async e => {
    const button = e.currentTarget;
    const feedback = $('autonomousResearchFeedback');
    const topic = String($('autonomousResearchTopic')?.value || '').trim();
    if (!topic) {
      if (feedback) feedback.textContent = 'Bitte ein Thema oder eine konkrete Wissensfrage eingeben.';
      return;
    }
    button.disabled = true;
    if (feedback) { feedback.dataset.manual = '1'; feedback.textContent = 'Rechercheaufgabe wird eingeplant …'; }
    try {
      const result = await api('/api/research/tasks', {method: 'POST', body: JSON.stringify({topic, question: topic, priority: 0.9, requested_by: 'webui', reason: 'manual_webui'})});
      if (feedback) feedback.textContent = result.created ? 'Aufgabe wurde asynchron in die Research Queue gelegt.' : 'Eine gleichartige Aufgabe befindet sich bereits in der Cooldown- oder Arbeitsphase.';
      if ($('autonomousResearchTopic')) $('autonomousResearchTopic').value = '';
      await loadAutonomousResearchTasks();
    } catch (err) {
      if (feedback) feedback.textContent = `Fehler: ${err.message}`;
    } finally {
      button.disabled = false;
      setTimeout(() => { if (feedback) delete feedback.dataset.manual; }, 2500);
    }
  });

  $('scanAutonomousResearch')?.addEventListener('click', async e => {
    const button = e.currentTarget;
    const feedback = $('autonomousResearchFeedback');
    button.disabled = true;
    if (feedback) { feedback.dataset.manual = '1'; feedback.textContent = 'Graphsignale werden asynchron bewertet …'; }
    try {
      await api('/api/research/autonomous/scan', {method: 'POST', body: '{}'});
      if (feedback) feedback.textContent = 'Opportunity-Scan wurde eingeplant. Ergebnisse erscheinen im Aktivitätsfeed und in der Queue.';
    } catch (err) {
      if (feedback) feedback.textContent = `Fehler: ${err.message}`;
    } finally {
      button.disabled = false;
      setTimeout(() => { if (feedback) delete feedback.dataset.manual; }, 2500);
    }
  });

  $('runAutonomousResearch')?.addEventListener('click', async e => {
    const button = e.currentTarget;
    const feedback = $('autonomousResearchFeedback');
    button.disabled = true;
    try {
      await api('/api/research/autonomous/run', {method: 'POST', body: '{}'});
      if (feedback) { feedback.dataset.manual = '1'; feedback.textContent = 'Queue wurde geweckt. Der Worker wartet weiterhin auf Ollama-Kapazität und Leerlauf.'; }
    } catch (err) {
      if (feedback) feedback.textContent = `Fehler: ${err.message}`;
    } finally {
      button.disabled = false;
      setTimeout(() => { if (feedback) delete feedback.dataset.manual; }, 2500);
    }
  });

  $('autonomousResearchQueue')?.addEventListener('click', async e => {
    const button = e.target.closest('[data-cancel-research-task]');
    if (!button) return;
    button.disabled = true;
    try {
      await api(`/api/research/tasks/${encodeURIComponent(button.dataset.cancelResearchTask)}/cancel`, {method: 'POST', body: '{}'});
      await loadAutonomousResearchTasks();
    } catch (err) {
      addLog({type: 'autonomous.research.task.cancel.failed', source: 'ui', message: err.message, timestamp: new Date().toISOString()});
    } finally {
      button.disabled = false;
    }
  });

  $('toggleEco').addEventListener('click', async e => {
    const button = e.currentTarget;
    button.disabled = true;
    const previous = Boolean(state.runtimeSettings.low_power_mode);
    state.runtimeSettings.low_power_mode = !previous;
    applyPerformanceMode(state.runtimeSettings.low_power_mode, true);
    try {
      await persistRuntimeSettings();
    } catch (err) {
      state.runtimeSettings.low_power_mode = previous;
      applyPerformanceMode(previous, true);
      addLog({type: 'runtime.settings.failed', source: 'ui', phase: 'control', message: `Eco-Modus konnte nicht umgestellt werden: ${err.message}`, timestamp: new Date().toISOString()});
    } finally {
      button.disabled = false;
      syncRuntimeControls();
    }
  });

  $('toggleLabels').addEventListener('click', e => {
    state.labels = !state.labels;
    e.currentTarget.classList.toggle('active', state.labels);
  });
  $('toggleEdges').addEventListener('click', e => {
    state.edgesVisible = !state.edgesVisible;
    e.currentTarget.classList.toggle('active', state.edgesVisible);
  });
  $('toggleRotate').addEventListener('click', e => {
    state.autoRotate = !state.autoRotate;
    e.currentTarget.classList.toggle('active', state.autoRotate);
  });
  $('toggleCortex').addEventListener('click', e => {
    state.cortexVisible = !state.cortexVisible;
    e.currentTarget.classList.toggle('active', state.cortexVisible);
  });
  $('toggleLOD').addEventListener('click', e => {
    state.lodEnabled = !state.lodEnabled;
    e.currentTarget.classList.toggle('active', state.lodEnabled);
    state.lodDirty = true;
    rebuildRenderGraph(performance.now(), true);
  });
  $('resetView').addEventListener('click', () => {
    state.yaw = 0.18;
    state.pitch = -0.12;
    state.zoom = 1.02;
    state.zoomTarget = 1.02;
    state.lodDirty = true;
  });
  $('clearLog').addEventListener('click', () => {$('activityLog').innerHTML = '';});

  $('enrichNow').addEventListener('click', async e => {
    const button = e.currentTarget;
    button.disabled = true;
    button.classList.add('running');
    const small = button.querySelector('small');
    if (small) small.textContent = 'STARTET';
    try {
      await api('/api/enrich?async=1', {method: 'POST', body: '{}'});
      await loadStatus();
    } catch (err) {
      addLog({type: 'think.failed', source: 'ui', phase: 'manual', message: `Manueller AI-THINK-Start fehlgeschlagen: ${err.message}`, timestamp: new Date().toISOString(), metadata: {trigger: 'manual'}});
      button.disabled = false;
      button.classList.remove('running');
      if (small) small.textContent = 'STARTEN';
    }
  });

  canvas.addEventListener('pointerdown', e => {
    state.dragging = true;
    state.moved = false;
    state.lastX = e.clientX;
    state.lastY = e.clientY;
    canvas.setPointerCapture(e.pointerId);
  });

  canvas.addEventListener('pointermove', e => {
    if (state.dragging) {
      const dx = e.clientX - state.lastX;
      const dy = e.clientY - state.lastY;
      if (Math.abs(dx) > 1 || Math.abs(dy) > 1) state.moved = true;
      state.yaw += dx * 0.006;
      state.pitch = Math.max(-1, Math.min(1, state.pitch + dy * 0.005));
      state.lastX = e.clientX;
      state.lastY = e.clientY;
      return;
    }
    let best = null, dist = 14;
    for (const n of state.projected) {
      if (!n.screen || n._fadeOutStart) continue;
      const d = Math.hypot(n.screen.x - e.clientX, n.screen.y - e.clientY);
      if (d < dist) {
        dist = d;
        best = n;
      }
    }
    state.hover = best;
    const tip = $('tooltip');
    if (best) {
      tip.classList.remove('hidden');
      if (best.kind === 'supernode') {
        const level = best.lodLevel === 2 ? 'Themenwolke' : 'lokale Wissensgruppe';
        tip.innerHTML = `<strong>${escapeHTML(best.label)}</strong><small>${level} · ${best.memberCount.toLocaleString('de-DE')} Elemente<br>${best.internalEdgeCount.toLocaleString('de-DE')} interne · ${best.externalEdgeCount.toLocaleString('de-DE')} externe Edges<br>Klicken zum Auflösen</small>`;
      } else {
        const degree = (state.adjacency.get(best.id) || []).length;
        tip.innerHTML = `<strong>${escapeHTML(best.label)}</strong><small>${escapeHTML((best.categories || []).slice(0, 3).join(' · ') || best.kind || 'Knoten')}<br>${degree} Verbindungen · ${escapeHTML(best.status || 'aktiv')}</small>`;
      }
      tip.style.left = Math.min(state.width - 280, e.clientX + 14) + 'px';
      tip.style.top = Math.min(state.height - 86, e.clientY + 14) + 'px';
    } else {
      tip.classList.add('hidden');
    }
  });

  canvas.addEventListener('pointerup', () => {
    if (!state.moved && state.hover) {
      if (state.hover.kind === 'supernode') {
        openLODGroup(state.hover);
        state.renderActive.set(state.hover.id, 1.1);
      } else {
        state.selected = state.hover;
        state.active.set(state.hover.id, 1.2);
        revealLODNodes([state.hover.id], LOD_CONFIG.revealNodeMS);
        rebuildRenderGraph(performance.now(), true);
      }
    }
    state.dragging = false;
  });
  canvas.addEventListener('pointercancel', () => state.dragging = false);
  canvas.addEventListener('wheel', e => {
    e.preventDefault();
    state.zoom = Math.max(0.55, Math.min(2.4, state.zoom * Math.exp(-e.deltaY * 0.001)));
    state.zoomTarget = state.zoom;
    state.lodDirty = true;
  }, {passive: false});

  function escapeHTML(v) {
    return String(v ?? '').replace(/[&<>'"]/g, c => ({'&': '&amp;', '<': '&lt;', '>': '&gt;', "'": '&#39;', '"': '&quot;'}[c]));
  }

  (async () => {
    await loadRuntimeConfiguration();
    await loadGraph();
    await loadStatus();
    await loadAutonomousResearchTasks().catch(() => {});
  })();
  setInterval(loadGraph, 30000);
  setInterval(loadStatus, 3000);
  setInterval(() => loadAutonomousResearchTasks().catch(() => {}), 7000);
})();