app/src/content/embeds/banner.html

<div class="d3-loss-curves"></div>
<style>
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    margin-top: 20px;
    width: 100%;
    height: 350px;
    padding: 0;
    position: relative;
    overflow: hidden;
  }

  /* Ghosting on hover */
  .d3-loss-curves.hovering .lines path.ghost {
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  .d3-loss-curves.hovering .legend-item.ghost {
    opacity: .25 !important;
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  /* Tooltip styling */
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    z-index: var(--z-elevated);
    backdrop-filter: saturate(1.12) blur(8px);
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  .d3-loss-curves .d3-tooltip__inner {
    display: flex;
    flex-direction: column;
    gap: 4px;
    min-width: 180px;
  }

  .d3-loss-curves .d3-tooltip__header {
    display: flex;
    align-items: center;
    gap: 8px;
  }

  .d3-loss-curves .d3-tooltip__color-swatch {
    width: 12px;
    height: 12px;
    border-radius: 2px;
    flex-shrink: 0;
  }

  .d3-loss-curves .d3-tooltip__title {
    font-weight: 800;
    letter-spacing: 0.1px;
    font-size: 13px;
  }

  .d3-loss-curves .d3-tooltip__subtitle {
    font-size: 11px;
    color: var(--muted-color);
  }

  .d3-loss-curves .d3-tooltip__divider {
    width: 100%;
    height: 1px;
    background: var(--border-color);
    margin: 2px 0;
  }

  .d3-loss-curves .d3-tooltip__data {
    font-size: 11px;
    line-height: 1.5;
  }

  /* Container styling with gradient background */
  .d3-loss-curves {
    border: 1px solid var(--border-color);
    border-radius: 20px;
    background: radial-gradient(circle at 30% 50%, hsla(37, 99%, 67%, 0.035), transparent 40%),
      radial-gradient(circle at 60% 100%, hsla(316, 73%, 52%, 0.035), transparent 40%),
      radial-gradient(circle at 80% 40%, hsla(185, 100%, 57%, 0.035), transparent 40%),
      var(--surface-bg);
  }

  /* Hand-drawn annotation SVG */
  .d3-loss-curves .annotation {
    position: absolute;
    top: 55px;
    right: 70px;
    width: 240px;
    height: 56px;
    pointer-events: none;
  }

  .d3-loss-curves .annotation svg {
    width: 100%;
    height: 100%;
  }

  /* Text stroke styling for SVG paths */
  /* .d3-loss-curves .annotation path {
    fill: var(--text-color);
    stroke: var(--page-bg);
    stroke-width: 3px;
    stroke-linejoin: round;
    stroke-linecap: round;
    paint-order: stroke fill;
  } */

  /* Legend styling */
  .d3-loss-curves .legend {
    position: absolute;
    bottom: 16px;
    left: 20px;
    max-width: 50%;
    font-size: 11px;
    line-height: 1.2;
    z-index: 10;
    display: flex;
    flex-direction: column;
    align-items: flex-start;
    gap: 4px;
  }

  .d3-loss-curves .legend-title {
    font-weight: 700;
    font-size: 10px;
    text-transform: uppercase;
    letter-spacing: 0.5px;
    color: var(--muted-color);
    margin-bottom: 4px;
  }

  .d3-loss-curves .legend-items {
    display: flex;
    flex-direction: column;
    gap: 6px;
  }

  .d3-loss-curves .legend-row {
    display: flex;
    align-items: center;
    gap: 16px;
    flex-wrap: wrap;
  }

  .d3-loss-curves .legend-item {
    display: flex;
    align-items: center;
    gap: 6px;
    cursor: pointer;
    transition: opacity 0.2s ease;
    opacity: 1;
  }

  .d3-loss-curves .legend-swatch {
    width: 12px;
    height: 12px;
    border-radius: 2px;
    flex-shrink: 0;
  }

  .d3-loss-curves .legend-label {
    font-size: 11px;
    color: var(--text-color);
    white-space: nowrap;
  }

  /* Mobile: hide annotation and legend, reduce height */
  @media (max-width: 768px) {
    .d3-loss-curves {
      height: 250px;
    }

    .d3-loss-curves .annotation {
      display: none;
    }

    .d3-loss-curves .legend {
      display: none;
    }

  }
</style>
<script>
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    const ensureD3 = (cb) => {
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      let s = document.getElementById('d3-cdn-script');
      if (!s) { s = document.createElement('script'); s.id = 'd3-cdn-script'; s.src = 'https://cdn.jsdelivr.net/npm/d3@7/dist/d3.min.js'; document.head.appendChild(s); }
      const onReady = () => { if (window.d3 && typeof window.d3.select === 'function') cb(); };
      s.addEventListener('load', onReady, { once: true }); if (window.d3) onReady();
    };

    const bootstrap = () => {
      const scriptEl = document.currentScript;
      let container = scriptEl ? scriptEl.previousElementSibling : null;
      if (!(container && container.classList && container.classList.contains('d3-loss-curves'))) {
        const cs = Array.from(document.querySelectorAll('.d3-loss-curves')).filter(el => !(el.dataset && el.dataset.mounted === 'true'));
        container = cs[cs.length - 1] || null;
      }
      if (!container) return;
      if (container.dataset) { if (container.dataset.mounted === 'true') return; container.dataset.mounted = 'true'; }

      // No controls needed for this visualization

      // Tooltip
      container.style.position = container.style.position || 'relative';
      let tip = container.querySelector('.d3-tooltip'); let tipInner;
      if (!tip) {
        tip = document.createElement('div'); tip.className = 'd3-tooltip';
        Object.assign(tip.style, {
          position: 'absolute', top: '0px', left: '0px', transform: 'translate(-9999px, -9999px)', pointerEvents: 'none',
          padding: '8px 10px', borderRadius: '8px', fontSize: '12px', lineHeight: '1.35', border: '1px solid var(--border-color)',
          background: 'var(--surface-bg)', color: 'var(--text-color)', boxShadow: '0 4px 24px rgba(0,0,0,.18)', opacity: '0', transition: 'opacity .12s ease'
        });
        tipInner = document.createElement('div'); tipInner.className = 'd3-tooltip__inner'; tipInner.style.textAlign = 'left'; tip.appendChild(tipInner); container.appendChild(tip);
      } else { tipInner = tip.querySelector('.d3-tooltip__inner') || tip; }

      // Legend
      let legend = container.querySelector('.legend');
      if (!legend) {
        legend = document.createElement('div');
        legend.className = 'legend';
        container.appendChild(legend);
      }

      // Hand-drawn annotation
      let annotation = container.querySelector('.annotation');
      if (!annotation) {
        annotation = document.createElement('div');
        annotation.className = 'annotation';
        annotation.innerHTML = `



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    </g>
</svg>

        `;
        container.appendChild(annotation);
      }

      // ============ CONFIGURATION ============
      // Visualization mode: 'normalize' | 'align' | 'raw'
      //
      // 'normalize' (CURRENT) ✅
      //   → Each run starts at X=0 (relative to its own start)
      //   → Runs have different lengths (based on their training duration)
      //   → No data removed
      //   → Ideal for comparing curve shapes
      //
      // 'align'
      //   → All runs start at the same absolute point (latest start)
      //   → All runs end at the same absolute point (earliest end)
      //   → Same length for all runs (trimmed)
      //   → Data trimmed for alignment
      //   → Ideal for comparing over a common time window
      //
      // 'raw'
      //   → Displays raw data without transformation
      //   → Each run keeps its original start and end points
      //   → No normalization
      //   → Ideal for seeing real training timelines
      //
      const VISUALIZATION_MODE = 'align';

      // Log scale control: true = logarithmic, false = linear
      const USE_LOG_SCALE = true;

      // Gap between run groups: 0.2 = doubled gap, 0.1 = normal gap
      const CATEGORY_GAP = 0.05;
      // =======================================

      // State/data
      const svgPaddingTop = 20;
      const svgPaddingBottom = 20;
      // Get initial height from container instead of fixed value
      const getContainerHeight = () => {
        const containerHeight = container.clientHeight || 350;
        return Math.max(containerHeight - 20, 200); // Minimum 200px
      };
      let svgHeight = getContainerHeight();
      let contentHeight = svgHeight - svgPaddingTop - svgPaddingBottom;
      let width = 800, height = svgHeight; const margin = { top: 0, right: 0, bottom: 0, left: 0 };

      // SVG container
      const svg = d3.select(container).append('svg').attr('width', 800).attr('height', svgHeight).style('display', 'block');
      const gRoot = svg.append('g').attr('transform', `translate(0, ${svgPaddingTop})`);
      const gGrid = gRoot.append('g').attr('class', 'grid');
      const gAxes = gRoot.append('g').attr('class', 'axes');
      const gLines = gRoot.append('g').attr('class', 'lines');
      const gPoints = gRoot.append('g').attr('class', 'points');
      const overlay = gRoot.append('rect').attr('fill', 'transparent').style('cursor', 'crosshair');
      const hoverLine = gRoot.append('line').attr('stroke-width', 1).style('display', 'none');
      const xScale = USE_LOG_SCALE ? d3.scaleLinear() : d3.scaleLinear();
      const yScale = USE_LOG_SCALE ? d3.scaleLinear() : d3.scaleLinear();
      const lineGen = d3.line().x(d => xScale(d.logTokens)).y(d => yScale(d.logLoss));
      const dataByRun = new Map();
      let runOrder = [];

      // Colors - categorical for distinct run categories
      function getRunColors(count) {
        try {
          if (window.ColorPalettes && typeof window.ColorPalettes.getColors === 'function') {
            return window.ColorPalettes.getColors('categorical', count);
          }
        } catch (_) { }
        // Fallback to categorical-like colors - evenly distributed hues
        const colors = [];
        for (let i = 0; i < count; i++) {
          const hue = (i * 360 / count) % 360;
          colors.push(`hsl(${hue}, 70%, 60%)`);
        }
        return colors;
      }

      // Format helper for thousands (5000 -> 5k, 1500 -> 1.5k)
      function formatK(v) {
        const abs = Math.abs(v);
        if (abs >= 1000) {
          const n = v / 1000;
          const s = d3.format('.1f')(n);
          return (s.endsWith('.0') ? s.slice(0, -2) : s) + 'k';
        }
        return d3.format('d')(v);
      }

      // Format numbers with K/M/B suffixes
      function formatNumber(num) {
        if (num >= 1e9) return (num / 1e9).toFixed(1) + 'B';
        if (num >= 1e6) return (num / 1e6).toFixed(1) + 'M';
        if (num >= 1e3) return (num / 1e3).toFixed(1) + 'K';
        return num.toFixed(0);
      }

      // Parse run name to extract type and config
      function parseRunName(runName) {
        // Format: "category_loss+date_time_config"
        const parts = runName.split('+');
        const category = parts[0] || '';
        const configPart = parts[1] || '';

        // Extract readable category name
        const categoryName = category.replace(/_loss$/i, '').replace(/_/g, ' ')
          .replace(/\b\w/g, l => l.toUpperCase());

        // Remove date/time part (format: DD/MM/YYYY_HH:MM:SS_)
        // This will match patterns like "22/09/2025_16:41:43_"
        let config = configPart.replace(/^\d{2}\/\d{2}\/\d{4}_\d{2}:\d{2}:\d{2}_/, '');

        // Check if it was baseline before removing it
        const wasBaseline = /^baseline$/i.test(config) || /^baseline[-_]/i.test(config) || /[-_]baseline$/i.test(config);

        // Remove "baseline" (case insensitive)
        config = config.replace(/^baseline$/i, '').replace(/^baseline[-_]/i, '').replace(/[-_]baseline$/i, '');

        // Clean up and format if something remains
        if (config) {
          config = config.replace(/[_-]+/g, ' ').trim()
            .replace(/\b\w/g, l => l.toUpperCase());
        } else if (wasBaseline) {
          // If nothing remains but it was baseline, show "Baseline"
          config = 'Baseline';
        }

        return { categoryName, config };
      }

      // Helper function to check if a run is a true baseline (nothing after "baseline")
      function isBaselineRun(runName) {
        const parts = runName.split('+');
        if (parts.length < 2) return false;
        const configPart = parts[1] || '';
        // Remove date/time part first (format: DD/MM/YYYY_HH:MM:SS_)
        let config = configPart.replace(/^\d{2}\/\d{2}\/\d{4}_\d{2}:\d{2}:\d{2}_/, '');
        // Check if it's exactly "baseline" (case insensitive) with nothing after
        return /^baseline$/i.test(config);
      }

      // Helper function to map run labels to prettier names
      function mapRunLabel(label) {
        const labelMappings = {
          'Z': 'Z-loss',
          'Doc-Masking': 'IntraDoc Masking',
          'Doc Masking': 'IntraDoc Masking',
          'Doc_Masking': 'IntraDoc Masking',
          'Lr': 'Learning Rate',
          'No-Wd': 'No Weight Decay',
          'No Wd': 'No Weight Decay',
          'No_Wd': 'No Weight Decay',
          'Tied-Embeddings': 'Tied Embeddings',
          'Tied Embeddings': 'Tied Embeddings',
          'Tied_Embeddings': 'Tied Embeddings',
          'Batch Size Fix': 'Batch Size',
          'Batch_Size_Fix': 'Batch Size'
        };

        return labelMappings[label] || label;
      }

      // Helper function to saturate a color slightly
      function saturateColor(color) {
        // Handle different color formats
        if (color.startsWith('hsl(')) {
          // HSL color - boost saturation slightly and reduce lightness a bit
          const match = color.match(/hsl\((\d+),\s*(\d+)%,\s*(\d+)%\)/);
          if (match) {
            const h = parseInt(match[1]);
            const s = Math.min(100, parseInt(match[2]) + 25); // +10% saturation
            const l = Math.max(0, parseInt(match[3]));    // -5% lightness
            return `hsl(${h}, ${s}%, ${l}%)`;
          }
        } else if (color.startsWith('#')) {
          // Convert hex to RGB then to HSL
          const hex = color.replace('#', '');
          const r = parseInt(hex.substr(0, 2), 16) / 255;
          const g = parseInt(hex.substr(2, 2), 16) / 255;
          const b = parseInt(hex.substr(4, 2), 16) / 255;

          const max = Math.max(r, g, b);
          const min = Math.min(r, g, b);
          let h, s, l = (max + min) / 2;

          if (max === min) {
            h = s = 0;
          } else {
            const d = max - min;
            s = l > 0.5 ? d / (2 - max - min) : d / (max + min);
            switch (max) {
              case r: h = ((g - b) / d + (g < b ? 6 : 0)) / 6; break;
              case g: h = ((b - r) / d + 2) / 6; break;
              case b: h = ((r - g) / d + 4) / 6; break;
            }
          }

          h = Math.round(h * 360);
          s = Math.min(100, Math.round(s * 100) + 10);
          l = Math.max(0, Math.round(l * 100) - 5);

          return `hsl(${h}, ${s}%, ${l}%)`;
        }
        // Fallback: return original color
        return color;
      }

      // Single aggregated CSV file
      const AGGREGATED_CSV = 'aggregated-loss-data.csv';

      const fetchFirstAvailable = async (paths) => {
        for (const p of paths) {
          try {
            // Add timestamp to bypass cache
            const url = p + (p.includes('?') ? '&' : '?') + '_=' + Date.now();
            const r = await fetch(url, { cache: 'no-cache' });
            if (r.ok) return await r.text();
          } catch (_) { }
        }
        throw new Error('CSV not found');
      };

      // ============ DATA TRANSFORMATION MODES ============
      /**
       * Transform data according to the selected visualization mode
       * @param {Map} dataByRun - Map(run_name -> array of {tokens, loss, logTokens, logLoss})
       * @param {string} mode - 'normalize' | 'align' | 'raw'
       * @returns {Map} Transformed data
       */
      function transformDataByMode(dataByRun, mode) {
        const runs = Array.from(dataByRun.keys());
        const transformedData = new Map();

        if (mode === 'normalize') {
          // NORMALIZE MODE: Each run starts at X=0 (relative to its start)
          runs.forEach(r => {
            const data = dataByRun.get(r) || [];
            if (data.length > 0) {
              const firstLogTokens = Math.min(...data.map(d => d.logTokens));
              const normalizedData = data.map(d => ({
                ...d,
                logTokens: d.logTokens - firstLogTokens
              }));
              transformedData.set(r, normalizedData);
            }
          });

        } else if (mode === 'align') {
          // ALIGN MODE: Improved alignment strategy
          // 1. Collect all start and end points
          const runRanges = [];
          runs.forEach(r => {
            const data = dataByRun.get(r) || [];
            if (data.length > 0) {
              const minTokens = Math.min(...data.map(d => d.logTokens));
              const maxTokens = Math.max(...data.map(d => d.logTokens));
              runRanges.push({ run: r, min: minTokens, max: maxTokens, data });
            }
          });

          if (runRanges.length === 0) return transformedData;

          // 2. Use percentile-based alignment (70th percentile start, 30th percentile end)
          // This gives a better balance than strict min/max
          const starts = runRanges.map(r => r.min).sort((a, b) => a - b);
          const ends = runRanges.map(r => r.max).sort((a, b) => a - b);

          const startPercentile = Math.floor(starts.length * 0.3); // Use 30th percentile as start
          const endPercentile = Math.floor(ends.length * 0.8);    // Use 80th percentile as end

          const alignedStart = starts[Math.max(0, startPercentile)];
          const alignedEnd = ends[Math.min(ends.length - 1, endPercentile)];

          // 3. Filter and align data
          runs.forEach(r => {
            const data = dataByRun.get(r) || [];
            if (data.length > 0) {
              // Filter to alignment window but be more permissive
              const filtered = data.filter(d =>
                d.logTokens >= alignedStart && d.logTokens <= alignedEnd
              );

              // If we have very little data after filtering, be more lenient
              let finalData = filtered;
              if (filtered.length < 3) {
                // Fallback: use data that intersects with the alignment window
                finalData = data.filter(d => d.logTokens >= alignedStart);
                // Take at least 80% of the run's original length or minimum viable amount
                if (finalData.length < Math.max(3, data.length * 0.8)) {
                  finalData = data; // If still too restrictive, use all data
                }
                // But still normalize to the alignment start
              }

              if (finalData.length > 0) {
                const alignedData = finalData.map(d => ({
                  ...d,
                  logTokens: d.logTokens - alignedStart
                }));
                transformedData.set(r, alignedData);
              }
            }
          });

        } else {
          // RAW MODE: Raw data without transformation
          runs.forEach(r => {
            const data = dataByRun.get(r) || [];
            if (data.length > 0) {
              transformedData.set(r, [...data]); // Deep copy
            }
          });
        }

        return transformedData;
      }
      // ==================================================

      function updateLayout() {
        const axisColor = getComputedStyle(container).getPropertyValue('--axis-color').trim() || 'rgba(0,0,0,0.25)';
        width = container.clientWidth || 800;
        // Update height based on current container size
        svgHeight = getContainerHeight();
        contentHeight = svgHeight - svgPaddingTop - svgPaddingBottom;
        height = svgHeight;
        svg.attr('width', width).attr('height', height);
        gRoot.attr('transform', `translate(0, ${svgPaddingTop})`);
        const innerWidth = width - margin.left - margin.right;
        const innerHeight = contentHeight;
        overlay.attr('x', 0).attr('y', 0).attr('width', innerWidth).attr('height', innerHeight);
        hoverLine.attr('y1', 0).attr('y2', innerHeight).attr('stroke', axisColor);
        return { innerWidth, innerHeight };
      }

      function render() {
        const { innerWidth, innerHeight } = updateLayout();

        // Transform data according to selected mode
        const transformedData = transformDataByMode(dataByRun, VISUALIZATION_MODE);
        const allRuns = Array.from(transformedData.keys()).sort();
        // Filter out debug runs and the original "Batch Size" (keep only "Batch Size Fix")
        const runs = allRuns.filter(run => {
          const debugFilter = !run.toLowerCase().includes('debug') &&
            !run.toLowerCase().includes('tp debug') &&
            !run.toLowerCase().includes('tp-debug') &&
            !run.toLowerCase().includes('test');

          // Filter out "batch_size_loss" but keep "batch_size_fix_loss"
          const batchSizeFilter = !(run.toLowerCase().includes('batch_size_loss') &&
            !run.toLowerCase().includes('batch_size_fix'));

          return debugFilter && batchSizeFilter;
        });

        // Compute domains from transformed data
        let minLogTokens = Infinity, maxLogTokens = -Infinity;
        let minLogLoss = Infinity, maxLogLoss = -Infinity;

        runs.forEach(r => {
          const data = transformedData.get(r) || [];
          data.forEach(d => {
            minLogTokens = Math.min(minLogTokens, d.logTokens);
            maxLogTokens = Math.max(maxLogTokens, d.logTokens);
            minLogLoss = Math.min(minLogLoss, d.logLoss);
            maxLogLoss = Math.max(maxLogLoss, d.logLoss);
          });
        });

        // No grid or axes - clean visualization
        gGrid.selectAll('*').remove();
        gAxes.selectAll('*').remove();

        // Lines with vertical offset - optimized
        // Group runs by category (prefix before '+')
        const categoryMap = new Map();
        const categories = [];
        runs.forEach(r => {
          const parts = r.split('+');
          const category = parts.length > 1 ? parts[0] : r;
          if (!categoryMap.has(category)) {
            categories.push(category);
            categoryMap.set(category, []);
          }
          categoryMap.get(category).push(r);
        });

        // Generate one color per category
        const categoryColors = getRunColors(categories.length);
        const runColorMap = {};
        categories.forEach((cat, idx) => {
          const color = categoryColors[idx];
          categoryMap.get(cat).forEach(run => {
            runColorMap[run] = color;
          });
        });

        // Split categories into two rows (5 on top, 6 on bottom for 11 items)
        const midPoint = Math.floor(categories.length / 2);
        const firstRow = categories.slice(0, midPoint);
        const secondRow = categories.slice(midPoint);

        const createRow = (cats, startIdx) => cats.map((cat, i) => {
          const idx = startIdx + i;
          let prettyLabel = cat.replace(/_/g, ' ').replace(/loss/g, '').trim()
            .replace(/\b\w/g, l => l.toUpperCase());
          // Apply label mapping
          prettyLabel = mapRunLabel(prettyLabel);
          return `
            <div class="legend-item" data-category="${cat}">
              <div class="legend-swatch" style="background: ${categoryColors[idx]}"></div>
              <div class="legend-label">${prettyLabel}</div>
            </div>
          `;
        }).join('');

        // Update legend with two rows
        legend.innerHTML = `
          <div class="legend-title">Run Types</div>
          <div class="legend-items">
            <div class="legend-row">${createRow(firstRow, 0)}</div>
            <div class="legend-row">${createRow(secondRow, midPoint)}</div>
          </div>
        `;

        // Legend interaction - highlight category on hover
        legend.querySelectorAll('.legend-item').forEach(item => {
          const cat = item.getAttribute('data-category');
          item.addEventListener('mouseenter', () => {
            container.classList.add('hovering');
            // Ghost lines (both dashed and solid)
            gLines.selectAll('path.run').classed('ghost', function (d) {
              const parts = d.run.split('+');
              const runCat = parts.length > 1 ? parts[0] : d.run;
              return runCat !== cat;
            });
            gLines.selectAll('path.baseline-solid').classed('ghost', function (d) {
              const parts = d.run.split('+');
              const runCat = parts.length > 1 ? parts[0] : d.run;
              return runCat !== cat;
            });
            // Ghost legend items
            legend.querySelectorAll('.legend-item').forEach(otherItem => {
              if (otherItem.getAttribute('data-category') !== cat) {
                otherItem.classList.add('ghost');
              }
            });
          });
          item.addEventListener('mouseleave', () => {
            container.classList.remove('hovering');
            gLines.selectAll('path.run').classed('ghost', false);
            gLines.selectAll('path.baseline-solid').classed('ghost', false);
            legend.querySelectorAll('.legend-item').forEach(otherItem => {
              otherItem.classList.remove('ghost');
            });
          });
        });

        // Create vertical offset mapping with doubled gaps between categories
        const createVerticalOffsetMap = () => {
          const runToOffset = new Map();
          let runIndex = 0;

          categories.forEach((category, catIndex) => {
            const categoryRuns = categoryMap.get(category);
            categoryRuns.forEach(run => {
              // Gap between categories + normal run spacing (runIndex * 0.05)
              const verticalOffset = (catIndex * CATEGORY_GAP) + (runIndex * 0.05);
              runToOffset.set(run, verticalOffset);
              runIndex++;
            });
          });

          return runToOffset;
        };

        const verticalOffsetMap = createVerticalOffsetMap();

        // Calculate max vertical offset for padding
        let maxVerticalOffset = 0;
        for (const offset of verticalOffsetMap.values()) {
          maxVerticalOffset = Math.max(maxVerticalOffset, offset);
        }
        maxLogLoss += maxVerticalOffset;

        // Update scales with final domain
        xScale.domain([minLogTokens, maxLogTokens]).range([0, innerWidth]);
        yScale.domain([minLogLoss, maxLogLoss]).range([innerHeight, 0]);

        const series = runs.map((r) => {
          const data = transformedData.get(r) || [];
          // Sample data for performance - take every 5th point
          const sampledData = data.filter((_, idx) => idx % 5 === 0);
          return {
            run: r,
            color: runColorMap[r],
            values: sampledData.sort((a, b) => a.logTokens - b.logTokens).map(d => ({
              ...d,
              logLoss: d.logLoss + verticalOffsetMap.get(r) // Vertical offset with doubled category gaps
            }))
          };
        });

        // First, add solid lines under dashed baseline lines (background)
        const baselineSeries = series.filter(s => isBaselineRun(s.run));
        if (baselineSeries.length > 0) {
          const solidPaths = gLines.selectAll('path.baseline-solid').data(baselineSeries, d => `solid-${d.run}`);
          const solidPathsEnter = solidPaths.enter().append('path')
            .attr('class', 'baseline-solid')
            .attr('fill', 'none')
            .attr('stroke-width', 3)
            .attr('stroke', d => d.color)
            .attr('stroke-dasharray', null)
            .attr('d', d => lineGen(d.values));

          solidPathsEnter.merge(solidPaths)
            .attr('stroke', d => d.color)
            .attr('d', d => lineGen(d.values));
          solidPaths.exit().remove();
        }

        // Then, add all lines (saturated baselines will be on top)
        const paths = gLines.selectAll('path.run').data(series, d => d.run);
        const pathsEnter = paths.enter().append('path')
          .attr('class', 'run')
          .attr('fill', 'none')
          .attr('stroke-width', 2)
          .attr('stroke', d => isBaselineRun(d.run) ? saturateColor(d.color) : d.color)
          .attr('stroke-dasharray', null)
          .attr('d', d => lineGen(d.values));

        pathsEnter.merge(paths)
          .attr('stroke', d => isBaselineRun(d.run) ? saturateColor(d.color) : d.color)
          .attr('stroke-dasharray', null)
          .attr('d', d => lineGen(d.values)); // No transition for performance
        paths.exit().remove();

        // Hover capture paths (wider invisible stroke for easy hovering) - optimized
        const captures = gLines.selectAll('path.run-hover').data(series, d => `cap-${d.run}`);
        captures.enter().append('path').attr('class', 'run-hover').attr('fill', 'none').attr('stroke', 'transparent').attr('stroke-width', 12).style('pointer-events', 'stroke')
          .attr('d', d => lineGen(d.values))
          .merge(captures)
          .attr('d', d => lineGen(d.values))
          .on('mouseenter', function (ev, d) {
            container.classList.add('hovering');
            // Ghost non-hovered lines (both dashed and solid)
            gLines.selectAll('path.run').classed('ghost', s => s.run !== d.run);
            gLines.selectAll('path.baseline-solid').classed('ghost', s => s.run !== d.run);
          })
          .on('mouseleave', function () {
            container.classList.remove('hovering');
            gLines.selectAll('path.run').classed('ghost', false);
            gLines.selectAll('path.baseline-solid').classed('ghost', false);
          });
        captures.exit().remove();

        // No point markers - just lines

        // No legend needed

        // Hover interaction - optimized
        function onMove(ev) {
          const [mx, my] = d3.pointer(ev, overlay.node());

          // Find nearest point on any line - optimized search
          let nearestPoint = null;
          let minDist = Infinity;
          const threshold = 20;

          for (const s of series) {
            for (const pt of s.values) {
              const dist = Math.abs(xScale(pt.logTokens) - mx); // Only check X distance first
              if (dist < threshold && dist < minDist) {
                const yDist = Math.abs(yScale(pt.logLoss) - my);
                const totalDist = Math.sqrt(dist * dist + yDist * yDist);
                if (totalDist < minDist) {
                  minDist = totalDist;
                  nearestPoint = { ...pt, run: s.run, color: s.color };
                }
              }
            }
          }

          if (nearestPoint && minDist < threshold) {
            // Parse run info
            const { categoryName, config } = parseRunName(nearestPoint.run);

            // Apply label mapping to category name
            const mappedCategoryName = mapRunLabel(categoryName);

            // Format metrics
            const tokensFormatted = formatNumber(nearestPoint.tokens);
            const lossFormatted = nearestPoint.loss.toFixed(2);

            // Build rich tooltip with color swatch
            let html = `
              <div class="d3-tooltip__header">
                <div class="d3-tooltip__color-swatch" style="background: ${nearestPoint.color}"></div>
                <div class="d3-tooltip__title">${mappedCategoryName}</div>
              </div>
            `;

            // Only show config if it exists
            if (config) {
              html += `<div class="d3-tooltip__subtitle">Config: ${config}</div>`;
            }

            html += `
              <div class="d3-tooltip__divider"></div>
              <div class="d3-tooltip__data">
                Tokens: ${tokensFormatted}<br/>
                Loss: ${lossFormatted}
              </div>
            `;

            tipInner.innerHTML = html;
            tip.style.opacity = '1';

            // Ghost other lines (both dashed and solid)
            container.classList.add('hovering');
            gLines.selectAll('path.run').classed('ghost', s => s.run !== nearestPoint.run);
            gLines.selectAll('path.baseline-solid').classed('ghost', s => s.run !== nearestPoint.run);

            // Smart positioning - keep tooltip within container bounds
            const tooltipRect = tip.getBoundingClientRect();
            const containerRect = container.getBoundingClientRect();

            const offset = 12;
            let x = mx + margin.left + offset;
            let y = my + margin.top + offset;

            // Check right edge
            if (x + tooltipRect.width > containerRect.width) {
              x = mx + margin.left - tooltipRect.width - offset;
            }

            // Check bottom edge
            if (y + tooltipRect.height > containerRect.height) {
              y = my + margin.top - tooltipRect.height - offset;
            }

            // Check left edge (if flipped to left)
            if (x < 0) {
              x = offset;
            }

            // Check top edge (if flipped to top)
            if (y < 0) {
              y = offset;
            }

            tip.style.transform = `translate(${Math.round(x)}px, ${Math.round(y)}px)`;
          } else {
            tip.style.opacity = '0';
            container.classList.remove('hovering');
            gLines.selectAll('path.run').classed('ghost', false);
            gLines.selectAll('path.baseline-solid').classed('ghost', false);
          }
        }
        function onLeave() {
          tip.style.opacity = '0';
          tip.style.transform = 'translate(-9999px, -9999px)';
          container.classList.remove('hovering');
          gLines.selectAll('path.run').classed('ghost', false);
          gLines.selectAll('path.baseline-solid').classed('ghost', false);
        }
        overlay.on('mousemove', onMove).on('mouseleave', onLeave);
      }

      // Load aggregated CSV file and initialize
      (async () => {
        try {
          // Load single aggregated CSV file
          const paths = [
            `/data/${AGGREGATED_CSV}`,
            `./assets/data/${AGGREGATED_CSV}`,
            `../assets/data/${AGGREGATED_CSV}`,
            `../../assets/data/${AGGREGATED_CSV}`
          ];

          const text = await fetchFirstAvailable(paths);

          // Parse CSV - format is run_name,tokens,loss with prefixes already included
          const rows = d3.csvParse(text, d => ({
            run: (d.run_name || '').trim(),
            tokens: +d.tokens,
            loss: +d.loss
          }));

          // Filter out invalid data and compute log values
          const allData = rows
            .filter(r => r.run && r.tokens > 0 && r.loss > 0) // Valid data only
            .map(row => ({
              run: row.run,
              tokens: row.tokens,
              loss: row.loss,
              logTokens: USE_LOG_SCALE ? Math.log(row.tokens) : row.tokens,
              logLoss: USE_LOG_SCALE ? Math.log(row.loss) : row.loss
            }));

          // Group data by run
          runOrder = Array.from(new Set(allData.map(r => r.run))).sort();
          runOrder.forEach(r => {
            dataByRun.set(r, allData.filter(d => d.run === r));
          });

          render();
          const rerender = () => render();
          if (window.ResizeObserver) { const ro = new ResizeObserver(() => rerender()); ro.observe(container); } else { window.addEventListener('resize', rerender); }
        } catch (e) {
          const pre = document.createElement('pre'); pre.textContent = 'CSV load error: ' + (e && e.message ? e.message : e);
          pre.style.color = 'var(--danger, #b00020)'; pre.style.fontSize = '12px'; pre.style.whiteSpace = 'pre-wrap'; container.appendChild(pre);
        }
      })();
    };

    if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', () => ensureD3(bootstrap), { once: true }); } else { ensureD3(bootstrap); }
  })();
</script>