Publish Ropedia Xperience-10M derived artifacts

PROJECT_README.md

@@ -8,6 +8,12 @@
 An audit-first embodied-AI learning repo built around one public
 Xperience-10M sample episode released by Ropedia.
 
+The public dashboard and generated figures deliberately follow the visual
+language of [ropedia.com](https://ropedia.com/): near-black 4D-world canvas,
+lime-green identity accents, thin green-tinted cards, point-cloud texture, and
+the Inter Tight / Space Grotesk typography pairing. The layout is original to
+this project, but the style stays aligned with Ropedia's own product site.
+
 The project does one narrow thing carefully: it turns a raw multimodal episode
 into:
 

README.md

@@ -26,6 +26,11 @@ size_categories:
 
 This dataset repo contains the derived evidence layer for the public Xperience-10M sample episode released by Ropedia: metrics, predictions, manifests, charts, diagrams, notes, reproduction scripts, and the small neural MLP task-head artifacts.
 
+The dashboard assets follow a Ropedia-inspired visual system: dark 4D-world
+canvas, lime-green accents, point-cloud texture, thin green cards, and
+research-grade typography, while all labels and metrics are script-generated
+from committed result files.
+
 It does **not** contain raw Xperience-10M videos or raw `annotation.hdf5`. Download raw data only from the official Ropedia / Hugging Face sources and follow their terms.
 
 Current scale-up status: the full `ropedia-ai/xperience-10m` Hugging Face

docs/index.html

@@ -8,27 +8,30 @@
   <meta property="og:title" content="Ropedia Xperience-10M Task Suite">
   <meta property="og:description" content="One public embodied-AI episode, converted into reproducible multimodal tasks, minimal baselines, neural MLP baselines, metrics, and diagrams.">
   <meta property="og:image" content="assets/task_suite_infographic.png?v=xperience10m-nn">
+  <link rel="preconnect" href="https://fonts.googleapis.com">
+  <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
+  <link href="https://fonts.googleapis.com/css2?family=Inter+Tight:wght@400;500;600;700;800&family=Space+Grotesk:wght@400;500;600;700&display=swap" rel="stylesheet">
   <style>
     :root {
-      color-scheme: light;
-      --ink: #1f2421;
-      --muted: #6f716c;
-      --line: #e4ded4;
-      --soft-line: #eee9e1;
-      --page: #fbfaf7;
-      --panel: #f5f1e9;
-      --surface: #fffefd;
-      --blue: #1f6c9f;
-      --cyan: #2e7775;
-      --green: #346538;
-      --amber: #956400;
-      --red: #9f2f2d;
-      --shadow: 0 24px 60px rgba(68, 55, 38, 0.08);
+      color-scheme: dark;
+      --ink: #f4f8ef;
+      --muted: #a5afa2;
+      --line: rgba(164, 242, 127, 0.24);
+      --soft-line: rgba(164, 242, 127, 0.14);
+      --page: #020502;
+      --panel: #061006;
+      --surface: #071207;
+      --blue: #9bdfff;
+      --cyan: #7ae5c3;
+      --green: #a7f078;
+      --amber: #d8f4a5;
+      --red: #ff8f7a;
+      --shadow: 0 28px 80px rgba(0, 0, 0, 0.42);
       --radius: 8px;
       --max: 1220px;
-      --font-ui: "Avenir Next", "SF Pro Display", ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
-      --font-copy: "Avenir Next", "SF Pro Text", ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
-      --font-mono: "SF Mono", "JetBrains Mono", ui-monospace, SFMono-Regular, Menlo, monospace;
+      --font-ui: "Inter Tight", "Avenir Next", "SF Pro Display", ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
+      --font-copy: "Space Grotesk", "Avenir Next", "SF Pro Text", ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
+      --font-mono: "Space Grotesk", "SF Mono", "JetBrains Mono", ui-monospace, SFMono-Regular, Menlo, monospace;
     }
 
     * { box-sizing: border-box; }
@@ -38,10 +41,11 @@
       font-family: var(--font-copy);
       color: var(--ink);
       background:
-        linear-gradient(90deg, rgba(68,55,38,0.028) 1px, transparent 1px),
-        linear-gradient(0deg, rgba(68,55,38,0.022) 1px, transparent 1px),
+        radial-gradient(circle at 80% 10%, rgba(164, 242, 127, 0.12), transparent 28%),
+        radial-gradient(circle at 18% 24%, rgba(164, 242, 127, 0.06), transparent 22%),
+        radial-gradient(circle, rgba(164, 242, 127, 0.11) 1px, transparent 1.4px),
         var(--page);
-      background-size: 56px 56px, 56px 56px, auto;
+      background-size: auto, auto, 22px 22px, auto;
       line-height: 1.5;
       text-rendering: optimizeLegibility;
     }
@@ -54,7 +58,7 @@
       top: 12px;
       transform: translateY(-160%);
       background: var(--ink);
-      color: white;
+      color: #020502;
       padding: 10px 12px;
       border-radius: 6px;
       z-index: 40;
@@ -65,7 +69,7 @@
       position: sticky;
       top: 0;
       z-index: 20;
-      background: rgba(251,250,247,0.88);
+      background: rgba(2, 5, 2, 0.86);
       backdrop-filter: blur(18px);
       border-bottom: 1px solid var(--soft-line);
     }
@@ -88,11 +92,11 @@
     .mark {
       width: 34px;
       height: 34px;
-      border: 1px solid #d7ccbd;
+      border: 1px solid rgba(164, 242, 127, 0.48);
       display: grid;
       place-items: center;
-      color: var(--ink);
-      background: #f1eadf;
+      color: var(--green);
+      background: #061006;
       font-family: var(--font-mono);
       font-size: 13px;
       font-weight: 760;
@@ -102,7 +106,7 @@
       align-items: center;
       gap: 20px;
       font-size: 14px;
-      color: #4e514c;
+      color: #c6d0c2;
     }
     .nav-links a {
       text-decoration: none;
@@ -110,13 +114,13 @@
     }
     .nav-links a:hover { color: var(--ink); transform: translateY(-1px); }
     a:focus-visible, button:focus-visible {
-      outline: 2px solid rgba(31,108,159,0.48);
+      outline: 2px solid rgba(164, 242, 127, 0.54);
       outline-offset: 3px;
     }
     .nav-action {
       border: 1px solid var(--ink);
-      background: var(--ink);
-      color: white;
+      background: var(--green);
+      color: #020502;
       height: 36px;
       padding: 0 14px;
       display: inline-flex;
@@ -130,10 +134,10 @@
     .hero {
       border-bottom: 1px solid var(--soft-line);
       background:
-        linear-gradient(115deg, rgba(255,255,255,0.82), rgba(245,241,233,0.72)),
-        linear-gradient(90deg, rgba(68,55,38,0.05) 1px, transparent 1px),
-        linear-gradient(0deg, rgba(68,55,38,0.035) 1px, transparent 1px);
-      background-size: auto, 54px 54px, 54px 54px;
+        radial-gradient(circle at 78% 28%, rgba(164, 242, 127, 0.20), transparent 18%),
+        radial-gradient(circle at 58% 36%, rgba(255, 255, 255, 0.10) 1px, transparent 2px),
+        linear-gradient(180deg, #020502, #020702 68%, #050b05);
+      background-size: auto, 16px 16px, auto;
     }
     .hero-inner {
       min-height: 680px;
@@ -148,7 +152,7 @@
       align-items: center;
       gap: 9px;
       margin-bottom: 22px;
-      color: #4f524d;
+      color: var(--green);
       font-family: var(--font-mono);
       font-size: 12px;
       text-transform: uppercase;
@@ -158,7 +162,7 @@
       content: "";
       width: 34px;
       height: 1px;
-      background: var(--ink);
+      background: var(--green);
     }
     h1 {
       margin: 0;
@@ -168,11 +172,12 @@
       letter-spacing: 0;
       max-width: 860px;
       text-wrap: balance;
+      color: #f7fff0;
     }
     .hero-copy {
       margin: 26px 0 0;
       max-width: 690px;
-      color: #4e514c;
+      color: #c7d1c3;
       font-size: 19px;
       line-height: 1.65;
       text-wrap: pretty;
@@ -193,15 +198,16 @@
       gap: 10px;
       text-decoration: none;
       font-weight: 720;
-      background: var(--surface);
+      background: rgba(7, 18, 7, 0.82);
       transition: transform 240ms cubic-bezier(0.16, 1, 0.3, 1), border-color 240ms cubic-bezier(0.16, 1, 0.3, 1), background 240ms cubic-bezier(0.16, 1, 0.3, 1);
     }
-    .button:hover { transform: translateY(-2px); border-color: #cbbfad; }
+    .button:hover { transform: translateY(-2px); border-color: var(--green); background: rgba(164, 242, 127, 0.10); }
     .button:active { transform: translateY(0) scale(0.98); }
     .button.primary {
       background: var(--ink);
-      color: white;
-      border-color: var(--ink);
+      color: #020502;
+      border-color: var(--green);
+      background: var(--green);
     }
     .hero-stats {
       display: grid;
@@ -212,14 +218,14 @@
     }
     .stat {
       border: 1px solid var(--line);
-      background: rgba(255,254,253,0.86);
+      background: rgba(7, 18, 7, 0.82);
       padding: 14px 14px 13px;
       border-radius: var(--radius);
     }
     .stat strong { display: block; font-family: var(--font-mono); font-size: 21px; line-height: 1; font-variant-numeric: tabular-nums; }
     .stat span { display: block; margin-top: 7px; font-size: 12px; color: var(--muted); }
     .hero-panel {
-      background: rgba(255,254,253,0.92);
+      background: rgba(7, 18, 7, 0.88);
       border: 1px solid var(--line);
       border-radius: var(--radius);
       box-shadow: var(--shadow);
@@ -245,8 +251,8 @@
     }
     .signal:last-child { border-bottom: 0; }
     .signal code {
-      color: #2f3437;
-      background: #f4f0e8;
+      color: #e7f3df;
+      background: rgba(164, 242, 127, 0.08);
       border: 1px solid var(--soft-line);
       padding: 5px 7px;
       border-radius: 5px;
@@ -256,7 +262,7 @@
     .track {
       position: relative;
       height: 12px;
-      background: #eee8df;
+      background: rgba(164, 242, 127, 0.16);
       overflow: hidden;
       border-radius: 999px;
     }
@@ -269,7 +275,7 @@
     }
     .signal strong { text-align: right; font-family: var(--font-mono); font-size: 13px; font-variant-numeric: tabular-nums; }
 
-    section { padding: 88px 0 96px; border-bottom: 1px solid var(--soft-line); }
+    section { padding: 88px 0 96px; border-bottom: 1px solid var(--soft-line); background: rgba(2, 5, 2, 0.72); }
     #suite { padding: 62px 0 76px; }
     .section-head {
       display: flex;
@@ -303,7 +309,7 @@
       border: 1px solid var(--line);
       border-radius: var(--radius);
       background: var(--surface);
-      box-shadow: 0 14px 34px rgba(68, 55, 38, 0.045);
+      box-shadow: 0 18px 46px rgba(0, 0, 0, 0.36);
     }
     .task-suite-image {
       display: block;
@@ -328,11 +334,11 @@
       border: 1px solid var(--line);
       border-radius: var(--radius);
       padding: 24px;
-      background: #f8f2e8;
-      color: #3f3425;
+      background: rgba(164, 242, 127, 0.06);
+      color: #eaf5e5;
     }
     .callout h3, .artifact h3 { margin: 0 0 8px; font-size: 17px; }
-    .callout p, .artifact p { margin: 0; color: #665d51; line-height: 1.6; }
+    .callout p, .artifact p { margin: 0; color: #aab5a5; line-height: 1.6; }
 
     .models {
       display: grid;
@@ -347,7 +353,7 @@
       background: var(--surface);
       transition: transform 240ms cubic-bezier(0.16, 1, 0.3, 1), box-shadow 240ms cubic-bezier(0.16, 1, 0.3, 1);
     }
-    .model:hover { transform: translateY(-3px); box-shadow: 0 14px 28px rgba(68, 55, 38, 0.06); }
+    .model:hover { transform: translateY(-3px); box-shadow: 0 18px 38px rgba(164, 242, 127, 0.08); }
     .model h3 { margin: 0; font-size: 15px; }
     .model .score { display: block; margin-top: 18px; font-family: var(--font-mono); font-size: 33px; font-weight: 760; line-height: 1; font-variant-numeric: tabular-nums; }
     .model .meta { display: block; margin-top: 8px; color: var(--muted); font-size: 13px; }
@@ -365,12 +371,12 @@
       height: 36px;
       padding: 0 14px;
       font-weight: 650;
-      color: #354052;
+      color: #d7e3d0;
       cursor: pointer;
       transition: transform 220ms cubic-bezier(0.16, 1, 0.3, 1), background 220ms cubic-bezier(0.16, 1, 0.3, 1);
     }
     .filter:hover { transform: translateY(-1px); }
-    .filter.active { color: white; background: var(--ink); border-color: var(--ink); }
+    .filter.active { color: #020502; background: var(--green); border-color: var(--green); }
     .task-grid {
       display: grid;
       grid-template-columns: repeat(3, minmax(0, 1fr));
@@ -386,7 +392,7 @@
       min-height: 184px;
       transition: transform 240ms cubic-bezier(0.16, 1, 0.3, 1), border-color 240ms cubic-bezier(0.16, 1, 0.3, 1);
     }
-    .task-card:hover { transform: translateY(-3px); border-color: #cbbfad; }
+    .task-card:hover { transform: translateY(-3px); border-color: var(--green); }
     .task-card.hide { display: none; }
     .task-top { display: flex; justify-content: space-between; gap: 14px; align-items: start; }
     .task-name { font-family: var(--font-mono); font-size: 13px; font-weight: 760; }
@@ -394,18 +400,18 @@
       font-size: 11px;
       border-radius: 999px;
       padding: 4px 8px;
-      color: #1f2937;
-      background: #eef2f7;
+      color: #d8ead2;
+      background: rgba(164, 242, 127, 0.08);
       white-space: nowrap;
     }
-    .tag.supervised { background: #e1f3fe; color: #1f6c9f; }
-    .tag.forecast { background: #edf3ec; color: #346538; }
-    .tag.retrieval { background: #e6f4f1; color: #2e7775; }
-    .tag.diagnostic { background: #fbf3db; color: #956400; }
+    .tag.supervised { background: rgba(155, 223, 255, 0.12); color: #9bdfff; }
+    .tag.forecast { background: rgba(164, 242, 127, 0.12); color: #a7f078; }
+    .tag.retrieval { background: rgba(122, 229, 195, 0.12); color: #7ae5c3; }
+    .tag.diagnostic { background: rgba(216, 244, 165, 0.12); color: #d8f4a5; }
     .task-card p { margin: 0; color: var(--muted); font-size: 13px; }
     .metric-row { display: flex; justify-content: space-between; gap: 12px; font-size: 13px; }
     .metric-row strong { font-family: var(--font-mono); font-size: 18px; font-variant-numeric: tabular-nums; }
-    .mini-bar { height: 7px; background: #eee8df; border-radius: 999px; overflow: hidden; }
+    .mini-bar { height: 7px; background: rgba(164, 242, 127, 0.14); border-radius: 999px; overflow: hidden; }
     .mini-bar span { display: block; height: 100%; width: var(--w); background: var(--c); }
 
     .artifact-grid {
@@ -441,8 +447,8 @@
       width: fit-content;
       border-radius: 999px;
       padding: 4px 9px;
-      background: #edf2f7;
-      color: #334155;
+      background: rgba(164, 242, 127, 0.10);
+      color: var(--green);
       font-size: 11px;
       font-weight: 740;
     }
@@ -451,7 +457,7 @@
       grid-template-columns: repeat(3, minmax(0, 1fr));
       gap: 8px;
       font-size: 12px;
-      color: #4e514c;
+      color: #bcc8b7;
     }
     .direction-counts strong {
       display: block;
@@ -488,7 +494,7 @@
       grid-template-columns: repeat(2, minmax(0, 1fr));
       gap: 8px;
       font-size: 12px;
-      color: #4e514c;
+      color: var(--muted);
     }
     .extension-metrics strong {
       display: block;
@@ -521,8 +527,8 @@
       font-size: 12px;
     }
     .walk-flow span {
-      border: 1px solid #e5dfd5;
-      background: #faf7f1;
+      border: 1px solid var(--soft-line);
+      background: rgba(164, 242, 127, 0.06);
       border-radius: 6px;
       padding: 9px;
       min-height: 58px;
@@ -535,28 +541,28 @@
       padding: 18px;
       transition: transform 240ms cubic-bezier(0.16, 1, 0.3, 1), border-color 240ms cubic-bezier(0.16, 1, 0.3, 1);
     }
-    .artifact:hover { transform: translateY(-3px); border-color: #cbbfad; }
+    .artifact:hover { transform: translateY(-3px); border-color: var(--green); }
     .artifact a { display: inline-block; margin-top: 14px; font-weight: 740; text-decoration: none; color: var(--blue); }
     .artifact a:hover { text-decoration: underline; text-underline-offset: 4px; }
 
     .code-panel {
-      background: #1f2421;
-      color: #f7f2e8;
+      background: #000;
+      color: #dff7d4;
       border-radius: var(--radius);
       padding: 18px;
       overflow: auto;
       font-family: var(--font-mono);
       font-size: 13px;
       line-height: 1.65;
-      border: 1px solid #3c403b;
+      border: 1px solid rgba(164, 242, 127, 0.24);
     }
     .code-panel button {
       float: right;
       margin-left: 16px;
       height: 30px;
-      border: 1px solid #5a6059;
-      color: white;
-      background: #363c36;
+      border: 1px solid rgba(164, 242, 127, 0.36);
+      color: #020502;
+      background: var(--green);
       border-radius: 5px;
       cursor: pointer;
       font-weight: 700;
@@ -647,12 +653,12 @@
           <span>current feature allocation</span>
           <span>window vector</span>
         </div>
-        <div class="signal"><code>mocap</code><div class="track"><span style="--w:25.3%;--c:#1f6c9f"></span></div><strong>2,121</strong></div>
-        <div class="signal"><code>camera+imu</code><div class="track"><span style="--w:1.5%;--c:#2e7775"></span></div><strong>126</strong></div>
-        <div class="signal"><code>depth</code><div class="track"><span style="--w:11.7%;--c:#346538"></span></div><strong>980</strong></div>
-        <div class="signal"><code>video</code><div class="track"><span style="--w:49.1%;--c:#956400"></span></div><strong>4,116</strong></div>
-        <div class="signal"><code>language</code><div class="track"><span style="--w:10.7%;--c:#6f5b21"></span></div><strong>896</strong></div>
-        <div class="signal"><code>static</code><div class="track"><span style="--w:1.7%;--c:#6f716c"></span></div><strong>139</strong></div>
+        <div class="signal"><code>mocap</code><div class="track"><span style="--w:25.3%;--c:#a7f078"></span></div><strong>2,121</strong></div>
+        <div class="signal"><code>camera+imu</code><div class="track"><span style="--w:1.5%;--c:#7ae5c3"></span></div><strong>126</strong></div>
+        <div class="signal"><code>depth</code><div class="track"><span style="--w:11.7%;--c:#d8f4a5"></span></div><strong>980</strong></div>
+        <div class="signal"><code>video</code><div class="track"><span style="--w:49.1%;--c:#9bdfff"></span></div><strong>4,116</strong></div>
+        <div class="signal"><code>language</code><div class="track"><span style="--w:10.7%;--c:#f4f8ef"></span></div><strong>896</strong></div>
+        <div class="signal"><code>static</code><div class="track"><span style="--w:1.7%;--c:#a5afa2"></span></div><strong>139</strong></div>
       </div>
     </div>
   </header>
@@ -870,18 +876,18 @@
           <button class="filter" data-filter="diagnostic">Diagnostic</button>
         </div>
         <div class="task-grid" id="taskGrid">
-          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">timeline_action</span><span class="tag supervised">supervised</span></div><p>All featurized modalities to current action label. Chronological split exposes unseen future actions.</p><div class="metric-row"><span>macro-F1</span><strong>0.0500</strong></div><div class="mini-bar"><span style="--w:5%;--c:#1f6c9f"></span></div></article>
-          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">timeline_subtask</span><span class="tag supervised">supervised</span></div><p>All featurized modalities to current subtask label. Useful for segmentation diagnostics.</p><div class="metric-row"><span>macro-F1</span><strong>0.0495</strong></div><div class="mini-bar"><span style="--w:5%;--c:#1f6c9f"></span></div></article>
-          <article class="task-card" data-kind="diagnostic"><div class="task-top"><span class="task-name">transition_detection</span><span class="tag diagnostic">diagnostic</span></div><p>Predict steady vs action boundary. Highlights task-transition localization quality.</p><div class="metric-row"><span>macro-F1</span><strong>0.6552</strong></div><div class="mini-bar"><span style="--w:65.5%;--c:#956400"></span></div></article>
-          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">next_action</span><span class="tag supervised">supervised</span></div><p>Current multimodal window to action 20 frames later. Tests short-horizon task flow.</p><div class="metric-row"><span>macro-F1</span><strong>0.0593</strong></div><div class="mini-bar"><span style="--w:5.9%;--c:#1f6c9f"></span></div></article>
-          <article class="task-card" data-kind="forecast"><div class="task-top"><span class="task-name">hand_trajectory_forecast</span><span class="tag forecast">forecast</span></div><p>Predict future left/right hand 3D joints. Closer to imitation-learning style signals.</p><div class="metric-row"><span>MPJPE</span><strong>0.8223</strong></div><div class="mini-bar"><span style="--w:48%;--c:#346538"></span></div></article>
-          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">contact_prediction</span><span class="tag supervised">supervised</span></div><p>Non-contact modalities to binary contact. Degenerate in this sample because one class dominates.</p><div class="metric-row"><span>accuracy</span><strong>1.0000</strong></div><div class="mini-bar"><span style="--w:100%;--c:#346538"></span></div></article>
-          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">object_relevance</span><span class="tag supervised">supervised</span></div><p>Predict relevant object set from non-caption feature blocks.</p><div class="metric-row"><span>micro-F1</span><strong>0.1839</strong></div><div class="mini-bar"><span style="--w:18.4%;--c:#1f6c9f"></span></div></article>
-          <article class="task-card" data-kind="retrieval"><div class="task-top"><span class="task-name">caption_grounding</span><span class="tag retrieval">retrieval</span></div><p>Caption objects/interaction query to matching sensor window.</p><div class="metric-row"><span>MRR</span><strong>0.0172</strong></div><div class="mini-bar"><span style="--w:1.7%;--c:#2e7775"></span></div></article>
-          <article class="task-card" data-kind="retrieval"><div class="task-top"><span class="task-name">cross_modal_retrieval</span><span class="tag retrieval">retrieval</span></div><p>Motion/IMU/camera query retrieves matching depth/video window. Strongest single-episode signal.</p><div class="metric-row"><span>top-5</span><strong>0.3764</strong></div><div class="mini-bar"><span style="--w:37.6%;--c:#2e7775"></span></div></article>
-          <article class="task-card" data-kind="forecast"><div class="task-top"><span class="task-name">modality_reconstruction</span><span class="tag forecast">forecast</span></div><p>Motion/IMU/camera to depth/video feature vector.</p><div class="metric-row"><span>R2</span><strong>-0.0160</strong></div><div class="mini-bar"><span style="--w:2%;--c:#9f2f2d"></span></div></article>
-          <article class="task-card" data-kind="diagnostic"><div class="task-top"><span class="task-name">temporal_order</span><span class="tag diagnostic">diagnostic</span></div><p>Two adjacent windows to correct vs reversed order.</p><div class="metric-row"><span>F1</span><strong>0.5487</strong></div><div class="mini-bar"><span style="--w:54.9%;--c:#956400"></span></div></article>
-          <article class="task-card" data-kind="diagnostic"><div class="task-top"><span class="task-name">misalignment_detection</span><span class="tag diagnostic">diagnostic</span></div><p>Motion+visual pair to aligned vs shifted by eight windows.</p><div class="metric-row"><span>F1</span><strong>0.4866</strong></div><div class="mini-bar"><span style="--w:48.7%;--c:#956400"></span></div></article>
+          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">timeline_action</span><span class="tag supervised">supervised</span></div><p>All featurized modalities to current action label. Chronological split exposes unseen future actions.</p><div class="metric-row"><span>macro-F1</span><strong>0.0500</strong></div><div class="mini-bar"><span style="--w:5%;--c:#9bdfff"></span></div></article>
+          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">timeline_subtask</span><span class="tag supervised">supervised</span></div><p>All featurized modalities to current subtask label. Useful for segmentation diagnostics.</p><div class="metric-row"><span>macro-F1</span><strong>0.0495</strong></div><div class="mini-bar"><span style="--w:5%;--c:#9bdfff"></span></div></article>
+          <article class="task-card" data-kind="diagnostic"><div class="task-top"><span class="task-name">transition_detection</span><span class="tag diagnostic">diagnostic</span></div><p>Predict steady vs action boundary. Highlights task-transition localization quality.</p><div class="metric-row"><span>macro-F1</span><strong>0.6552</strong></div><div class="mini-bar"><span style="--w:65.5%;--c:#d8f4a5"></span></div></article>
+          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">next_action</span><span class="tag supervised">supervised</span></div><p>Current multimodal window to action 20 frames later. Tests short-horizon task flow.</p><div class="metric-row"><span>macro-F1</span><strong>0.0593</strong></div><div class="mini-bar"><span style="--w:5.9%;--c:#9bdfff"></span></div></article>
+          <article class="task-card" data-kind="forecast"><div class="task-top"><span class="task-name">hand_trajectory_forecast</span><span class="tag forecast">forecast</span></div><p>Predict future left/right hand 3D joints. Closer to imitation-learning style signals.</p><div class="metric-row"><span>MPJPE</span><strong>0.8223</strong></div><div class="mini-bar"><span style="--w:48%;--c:#a7f078"></span></div></article>
+          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">contact_prediction</span><span class="tag supervised">supervised</span></div><p>Non-contact modalities to binary contact. Degenerate in this sample because one class dominates.</p><div class="metric-row"><span>accuracy</span><strong>1.0000</strong></div><div class="mini-bar"><span style="--w:100%;--c:#a7f078"></span></div></article>
+          <article class="task-card" data-kind="supervised"><div class="task-top"><span class="task-name">object_relevance</span><span class="tag supervised">supervised</span></div><p>Predict relevant object set from non-caption feature blocks.</p><div class="metric-row"><span>micro-F1</span><strong>0.1839</strong></div><div class="mini-bar"><span style="--w:18.4%;--c:#9bdfff"></span></div></article>
+          <article class="task-card" data-kind="retrieval"><div class="task-top"><span class="task-name">caption_grounding</span><span class="tag retrieval">retrieval</span></div><p>Caption objects/interaction query to matching sensor window.</p><div class="metric-row"><span>MRR</span><strong>0.0172</strong></div><div class="mini-bar"><span style="--w:1.7%;--c:#7ae5c3"></span></div></article>
+          <article class="task-card" data-kind="retrieval"><div class="task-top"><span class="task-name">cross_modal_retrieval</span><span class="tag retrieval">retrieval</span></div><p>Motion/IMU/camera query retrieves matching depth/video window. Strongest single-episode signal.</p><div class="metric-row"><span>top-5</span><strong>0.3764</strong></div><div class="mini-bar"><span style="--w:37.6%;--c:#7ae5c3"></span></div></article>
+          <article class="task-card" data-kind="forecast"><div class="task-top"><span class="task-name">modality_reconstruction</span><span class="tag forecast">forecast</span></div><p>Motion/IMU/camera to depth/video feature vector.</p><div class="metric-row"><span>R2</span><strong>-0.0160</strong></div><div class="mini-bar"><span style="--w:2%;--c:#ff8f7a"></span></div></article>
+          <article class="task-card" data-kind="diagnostic"><div class="task-top"><span class="task-name">temporal_order</span><span class="tag diagnostic">diagnostic</span></div><p>Two adjacent windows to correct vs reversed order.</p><div class="metric-row"><span>F1</span><strong>0.5487</strong></div><div class="mini-bar"><span style="--w:54.9%;--c:#d8f4a5"></span></div></article>
+          <article class="task-card" data-kind="diagnostic"><div class="task-top"><span class="task-name">misalignment_detection</span><span class="tag diagnostic">diagnostic</span></div><p>Motion+visual pair to aligned vs shifted by eight windows.</p><div class="metric-row"><span>F1</span><strong>0.4866</strong></div><div class="mini-bar"><span style="--w:48.7%;--c:#d8f4a5"></span></div></article>
         </div>
       </div>
     </section>

scripts/generate_visualizations.py

@@ -56,25 +56,26 @@ def svg_bar_chart(path: Path, title: str, rows: list[tuple[str, float]], x_label
     max_value = max_value if max_value is not None else max([v for _, v in rows] + [1.0])
     max_value = max(max_value, 1e-9)
     plot_w = width - left - right
-    colors = ["#2563eb", "#059669", "#ea580c", "#7b5d12", "#0891b2", "#dc2626"]
+    colors = ["#a7f078", "#ffffff", "#7ae5c3", "#d8f4a5", "#9bdfff", "#ff8f7a"]
     parts = [
         f'<svg xmlns="http://www.w3.org/2000/svg" width="{width}" height="{height}" viewBox="0 0 {width} {height}">',
-        '<rect width="100%" height="100%" fill="#ffffff"/>',
-        f'<text x="32" y="42" font-family="Arial, sans-serif" font-size="26" font-weight="700" fill="#111827">{html.escape(title)}</text>',
-        f'<text x="{left}" y="{height - 24}" font-family="Arial, sans-serif" font-size="13" fill="#6b7280">{html.escape(x_label)}</text>',
+        '<rect width="100%" height="100%" fill="#020502"/>',
+        '<rect x="18" y="18" width="1064" height="' + str(height - 36) + '" rx="18" fill="#050905" stroke="#a7f078" stroke-opacity="0.25"/>',
+        f'<text x="32" y="42" font-family="Inter Tight, Arial, sans-serif" font-size="26" font-weight="800" fill="#f4f8ef">{html.escape(title)}</text>',
+        f'<text x="{left}" y="{height - 24}" font-family="Space Grotesk, Arial, sans-serif" font-size="13" fill="#a5afa2">{html.escape(x_label)}</text>',
     ]
     for tick in range(6):
         x = left + plot_w * tick / 5
         val = max_value * tick / 5
-        parts.append(f'<line x1="{x:.1f}" y1="{top - 18}" x2="{x:.1f}" y2="{height - 50}" stroke="#e5e7eb" stroke-width="1"/>')
-        parts.append(f'<text x="{x:.1f}" y="{height - 30}" text-anchor="middle" font-family="Arial, sans-serif" font-size="12" fill="#6b7280">{val:.2f}</text>')
+        parts.append(f'<line x1="{x:.1f}" y1="{top - 18}" x2="{x:.1f}" y2="{height - 50}" stroke="#a7f078" stroke-opacity="0.13" stroke-width="1"/>')
+        parts.append(f'<text x="{x:.1f}" y="{height - 30}" text-anchor="middle" font-family="Space Grotesk, Arial, sans-serif" font-size="12" fill="#a5afa2">{val:.2f}</text>')
     for i, (label, value) in enumerate(rows):
         y = top + i * row_h
         bar_w = max(0.0, min(value / max_value, 1.0)) * plot_w
         color = colors[i % len(colors)]
-        parts.append(f'<text x="{left - 14}" y="{y + 21}" text-anchor="end" font-family="Arial, sans-serif" font-size="14" fill="#111827">{html.escape(label)}</text>')
+        parts.append(f'<text x="{left - 14}" y="{y + 21}" text-anchor="end" font-family="Space Grotesk, Arial, sans-serif" font-size="14" fill="#dce8d7">{html.escape(label)}</text>')
         parts.append(f'<rect x="{left}" y="{y + 5}" width="{bar_w:.1f}" height="20" rx="4" fill="{color}"/>')
-        parts.append(f'<text x="{left + bar_w + 8:.1f}" y="{y + 21}" font-family="Arial, sans-serif" font-size="13" fill="#374151">{value:.4f}</text>')
+        parts.append(f'<text x="{left + bar_w + 8:.1f}" y="{y + 21}" font-family="Space Grotesk, Arial, sans-serif" font-size="13" fill="#f4f8ef">{value:.4f}</text>')
     parts.append("</svg>")
     path.write_text("\n".join(parts), encoding="utf-8")
 
@@ -94,47 +95,49 @@ def svg_pipeline_diagram(path: Path, summary: dict) -> None:
             "annotation.hdf5",
             "6 MP4 videos with audio",
             f"{suite['num_frames']:,} aligned frames",
-        ], "#1f63e9"),
+        ], "#9bdfff"),
         (365, 110, 250, 132, "2. HOMIE loader", [
             "video, depth, pose",
             "mocap, IMU, language",
             "audio not featurized",
-        ], "#008b9a"),
+        ], "#7ae5c3"),
         (670, 110, 250, 132, "3. Window builder", [
             f"{suite['window_frames']}-frame windows",
             f"{suite['stride_frames']}-frame stride",
             f"{suite['num_windows']:,} windows",
-        ], "#0a7f55"),
+        ], "#a7f078"),
         (975, 110, 300, 132, "4. Feature vector", [
             f"{suite['feature_dim']:,} dimensions",
             "17 named blocks, no audio block",
             "stored manifest",
-        ], "#b65b04"),
+        ], "#d8f4a5"),
         (60, 380, 360, 168, "5. Baseline models", [
             "motion-only action/subtask",
             "current all-feature action/subtask",
             "numpy softmax classifier",
             "metrics and predictions",
-        ], "#1f63e9"),
+        ], "#9bdfff"),
         (520, 380, 360, 168, "6. Ropedia Xperience-10M suite", [
             f"{task_count} supervised/self-supervised tasks",
             "chronological split",
             "retrieval, forecast, alignment",
             "per-task artifacts",
-        ], "#008b9a"),
+        ], "#7ae5c3"),
         (980, 380, 300, 168, "7. Published artifacts", [
             "results/**/*.json/csv/npz",
             "docs/data/summary_metrics.json",
             "GitHub Pages dashboard",
             "reproducibility audit",
-        ], "#0a7f55"),
+        ], "#a7f078"),
     ]
     parts = [
         f'<svg xmlns="http://www.w3.org/2000/svg" width="{width}" height="{height}" viewBox="0 0 {width} {height}">',
-        '<rect width="100%" height="100%" fill="#ffffff"/>',
-        '<rect x="0" y="0" width="1400" height="760" fill="#ffffff"/>',
-        '<text x="60" y="58" font-family="Arial, sans-serif" font-size="32" font-weight="700" fill="#10141f">Verified Ropedia Xperience-10M Pipeline</text>',
-        '<text x="60" y="88" font-family="Arial, sans-serif" font-size="16" fill="#5b6475">Generated from committed scripts and metrics; no conceptual placeholder stages.</text>',
+        '<rect width="100%" height="100%" fill="#020502"/>',
+        '<rect x="0" y="0" width="1400" height="760" fill="#020502"/>',
+        '<rect x="0" y="0" width="1400" height="760" fill="url(#dotgrid)" opacity="0.55"/>',
+        '<circle cx="1120" cy="132" r="170" fill="#a7f078" opacity="0.10"/>',
+        '<text x="60" y="58" font-family="Inter Tight, Arial, sans-serif" font-size="32" font-weight="800" fill="#f4f8ef">Verified Ropedia Xperience-10M Pipeline</text>',
+        '<text x="60" y="88" font-family="Space Grotesk, Arial, sans-serif" font-size="16" fill="#a5afa2">Generated from committed scripts and metrics; no conceptual placeholder stages.</text>',
     ]
     arrows = [
         (310, 176, 365, 176),
@@ -146,23 +149,23 @@ def svg_pipeline_diagram(path: Path, summary: dict) -> None:
         (880, 464, 980, 464),
     ]
     for x1, y1, x2, y2 in arrows:
-        parts.append(f'<line x1="{x1}" y1="{y1}" x2="{x2}" y2="{y2}" stroke="#cbd5e1" stroke-width="3" marker-end="url(#arrow)"/>')
-    parts.insert(1, '<defs><marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse"><path d="M 0 0 L 10 5 L 0 10 z" fill="#cbd5e1"/></marker></defs>')
+        parts.append(f'<line x1="{x1}" y1="{y1}" x2="{x2}" y2="{y2}" stroke="#a7f078" stroke-opacity="0.54" stroke-width="3" marker-end="url(#arrow)"/>')
+    parts.insert(1, '<defs><pattern id="dotgrid" width="18" height="18" patternUnits="userSpaceOnUse"><circle cx="2" cy="2" r="1.2" fill="#a7f078" opacity="0.20"/></pattern><marker id="arrow" viewBox="0 0 10 10" refX="8" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse"><path d="M 0 0 L 10 5 L 0 10 z" fill="#a7f078" fill-opacity="0.72"/></marker></defs>')
     for x, y, w, h, title, lines, color in boxes:
-        parts.append(f'<rect x="{x}" y="{y}" width="{w}" height="{h}" rx="8" fill="#ffffff" stroke="#dce2ec" stroke-width="2"/>')
+        parts.append(f'<rect x="{x}" y="{y}" width="{w}" height="{h}" rx="8" fill="#061006" stroke="#a7f078" stroke-opacity="0.26" stroke-width="2"/>')
         parts.append(f'<rect x="{x}" y="{y}" width="8" height="{h}" rx="4" fill="{color}"/>')
-        parts.append(f'<text x="{x + 24}" y="{y + 34}" font-family="Arial, sans-serif" font-size="18" font-weight="700" fill="#10141f">{html.escape(title)}</text>')
+        parts.append(f'<text x="{x + 24}" y="{y + 34}" font-family="Inter Tight, Arial, sans-serif" font-size="18" font-weight="800" fill="#f4f8ef">{html.escape(title)}</text>')
         for i, line in enumerate(lines):
-            parts.append(f'<text x="{x + 24}" y="{y + 66 + i * 22}" font-family="Arial, sans-serif" font-size="14" fill="#394255">{html.escape(line)}</text>')
+            parts.append(f'<text x="{x + 24}" y="{y + 66 + i * 22}" font-family="Space Grotesk, Arial, sans-serif" font-size="14" fill="#dce8d7">{html.escape(line)}</text>')
     checks = [
         "Audit check: rerunning scripts to /private/tmp reproduced committed metrics exactly.",
         "Modality check: sample covers video, AAC audio, depth, pose/SLAM, mocap, IMU, and language annotation.",
         "Feature check: current manifest has video/depth/pose/mocap/IMU/language blocks, but no audio block.",
         "Scope check: this validates one public sample episode, not cross-episode generalization.",
     ]
-    parts.append('<rect x="60" y="620" width="1220" height="96" rx="8" fill="#f8fafc" stroke="#dce2ec"/>')
+    parts.append('<rect x="60" y="620" width="1220" height="96" rx="8" fill="#071207" stroke="#a7f078" stroke-opacity="0.24"/>')
     for i, line in enumerate(checks):
-        parts.append(f'<text x="84" y="{650 + i * 24}" font-family="Arial, sans-serif" font-size="15" fill="#273143">{html.escape(line)}</text>')
+        parts.append(f'<text x="84" y="{650 + i * 24}" font-family="Space Grotesk, Arial, sans-serif" font-size="15" fill="#dce8d7">{html.escape(line)}</text>')
     parts.append("</svg>")
     path.write_text("\n".join(parts), encoding="utf-8")
 
@@ -209,12 +212,12 @@ def metric_text_with_neural(task_name: str, metrics: dict, neural_tasks: dict) -
     return f"min {text}; NN {metric_text(task_name, neural_metrics)}"
 
 
-def draw_text_block(parts: list[str], x: int, y: int, lines: list[str], size: int = 13, color: str = "#394255", weight: str = "500", max_chars: int = 42, line_h: int = 18) -> int:
+def draw_text_block(parts: list[str], x: int, y: int, lines: list[str], size: int = 13, color: str = "#dce8d7", weight: str = "500", max_chars: int = 42, line_h: int = 18) -> int:
     cursor = y
     for line in lines:
         wrapped = textwrap.wrap(line, width=max_chars) or [""]
         for item in wrapped:
-            parts.append(f'<text x="{x}" y="{cursor}" font-family="Arial, sans-serif" font-size="{size}" font-weight="{weight}" fill="{color}">{html.escape(item)}</text>')
+            parts.append(f'<text x="{x}" y="{cursor}" font-family="Space Grotesk, Arial, sans-serif" font-size="{size}" font-weight="{weight}" fill="{color}">{html.escape(item)}</text>')
             cursor += line_h
     return cursor
 
@@ -339,18 +342,20 @@ def svg_task_architectures(path: Path, summary: dict) -> None:
     suite = summary["suite"]
     rows = task_architecture_rows(summary)
     family_colors = {
-        "softmax": "#1f63e9",
-        "ridge": "#0a7f55",
-        "ridge+rank": "#008b9a",
-        "multilabel": "#b65b04",
+        "softmax": "#9bdfff",
+        "ridge": "#a7f078",
+        "ridge+rank": "#7ae5c3",
+        "multilabel": "#d8f4a5",
     }
     width, height = 1500, 1840
     parts = [
         f'<svg xmlns="http://www.w3.org/2000/svg" width="{width}" height="{height}" viewBox="0 0 {width} {height}">',
-        '<defs><marker id="arrow2" viewBox="0 0 10 10" refX="8" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse"><path d="M 0 0 L 10 5 L 0 10 z" fill="#cbd5e1"/></marker></defs>',
-        '<rect width="100%" height="100%" fill="#ffffff"/>',
-        '<text x="60" y="56" font-family="Arial, sans-serif" font-size="34" font-weight="700" fill="#10141f">Minimal Architectures for 12 Ropedia Xperience-10M Tasks</text>',
-        '<text x="60" y="88" font-family="Arial, sans-serif" font-size="16" fill="#5b6475">Generated from scripts/episode_task_suite.py semantics and committed summary metrics. These are minimal baselines, not deep foundation models.</text>',
+        '<defs><pattern id="dotgrid2" width="18" height="18" patternUnits="userSpaceOnUse"><circle cx="2" cy="2" r="1.2" fill="#a7f078" opacity="0.18"/></pattern><marker id="arrow2" viewBox="0 0 10 10" refX="8" refY="5" markerWidth="7" markerHeight="7" orient="auto-start-reverse"><path d="M 0 0 L 10 5 L 0 10 z" fill="#a7f078" fill-opacity="0.72"/></marker></defs>',
+        '<rect width="100%" height="100%" fill="#020502"/>',
+        '<rect width="100%" height="100%" fill="url(#dotgrid2)" opacity="0.58"/>',
+        '<circle cx="1190" cy="150" r="210" fill="#a7f078" opacity="0.08"/>',
+        '<text x="60" y="56" font-family="Inter Tight, Arial, sans-serif" font-size="34" font-weight="800" fill="#f4f8ef">Minimal Architectures for 12 Ropedia Xperience-10M Tasks</text>',
+        '<text x="60" y="88" font-family="Space Grotesk, Arial, sans-serif" font-size="16" fill="#a5afa2">Generated from scripts/episode_task_suite.py semantics and committed summary metrics. These are minimal baselines, not deep foundation models.</text>',
     ]
 
     setup = [
@@ -358,44 +363,44 @@ def svg_task_architectures(path: Path, summary: dict) -> None:
             f"{suite['num_frames']:,} frames -> {suite['num_windows']:,} windows",
             f"{suite['window_frames']}-frame window, {suite['stride_frames']}-frame stride",
             "chronological 70/30 split",
-        ], "#1f63e9"),
+        ], "#9bdfff"),
         (410, 122, 310, 110, "Feature vector", [
             f"X_all = {suite['feature_dim']:,} dimensions",
             "17 named blocks; no audio block",
             "mean/std fit on train only",
-        ], "#008b9a"),
+        ], "#7ae5c3"),
         (760, 122, 320, 110, "Reusable heads", [
             "linear softmax classifier",
             "dual ridge regression/projection",
             "multi-label logistic + cosine rank",
-        ], "#0a7f55"),
+        ], "#a7f078"),
         (1120, 122, 320, 110, "Artifacts", [
             "metrics.json, predictions.csv/npz",
             "model.npz with scaler and weights",
             "summary_report.json source of numbers",
-        ], "#b65b04"),
+        ], "#d8f4a5"),
     ]
     for i in range(len(setup) - 1):
         x1 = setup[i][0] + setup[i][2]
         x2 = setup[i + 1][0]
         y = setup[i][1] + 55
-        parts.append(f'<line x1="{x1 + 12}" y1="{y}" x2="{x2 - 14}" y2="{y}" stroke="#cbd5e1" stroke-width="3" marker-end="url(#arrow2)"/>')
+        parts.append(f'<line x1="{x1 + 12}" y1="{y}" x2="{x2 - 14}" y2="{y}" stroke="#a7f078" stroke-opacity="0.54" stroke-width="3" marker-end="url(#arrow2)"/>')
     for x, y, w, h, title, lines, color in setup:
-        parts.append(f'<rect x="{x}" y="{y}" width="{w}" height="{h}" rx="8" fill="#ffffff" stroke="#dce2ec" stroke-width="2"/>')
+        parts.append(f'<rect x="{x}" y="{y}" width="{w}" height="{h}" rx="8" fill="#061006" stroke="#a7f078" stroke-opacity="0.26" stroke-width="2"/>')
         parts.append(f'<rect x="{x}" y="{y}" width="8" height="{h}" rx="4" fill="{color}"/>')
-        parts.append(f'<text x="{x + 24}" y="{y + 31}" font-family="Arial, sans-serif" font-size="18" font-weight="700" fill="#10141f">{html.escape(title)}</text>')
-        draw_text_block(parts, x + 24, y + 58, lines, size=13, color="#394255", max_chars=34, line_h=18)
+        parts.append(f'<text x="{x + 24}" y="{y + 31}" font-family="Inter Tight, Arial, sans-serif" font-size="18" font-weight="800" fill="#f4f8ef">{html.escape(title)}</text>')
+        draw_text_block(parts, x + 24, y + 58, lines, size=13, color="#dce8d7", max_chars=34, line_h=18)
 
     families = [
-        ("Softmax classifier", "logits = z(X)W + b; CE + L2; class weights for classifiers", "#1f63e9", 60, 270),
-        ("Ridge regression/projection", "closed-form dual ridge on z(X), z(Y); used for forecast and reconstruction", "#0a7f55", 780, 270),
-        ("Ridge + cosine ranking", "project one modality into another feature space, then rank candidates by cosine", "#008b9a", 60, 394),
-        ("Multi-label logistic", "sigmoid heads for object vocabulary; threshold 0.5 with top-1 fallback", "#b65b04", 780, 394),
+        ("Softmax classifier", "logits = z(X)W + b; CE + L2; class weights for classifiers", "#9bdfff", 60, 270),
+        ("Ridge regression/projection", "closed-form dual ridge on z(X), z(Y); used for forecast and reconstruction", "#a7f078", 780, 270),
+        ("Ridge + cosine ranking", "project one modality into another feature space, then rank candidates by cosine", "#7ae5c3", 60, 394),
+        ("Multi-label logistic", "sigmoid heads for object vocabulary; threshold 0.5 with top-1 fallback", "#d8f4a5", 780, 394),
     ]
     for title, desc, color, x, y in families:
-        parts.append(f'<rect x="{x}" y="{y}" width="660" height="100" rx="8" fill="#f8fafc" stroke="#dce2ec"/>')
-        parts.append(f'<text x="{x + 18}" y="{y + 33}" font-family="Arial, sans-serif" font-size="18" font-weight="700" fill="{color}">{html.escape(title)}</text>')
-        draw_text_block(parts, x + 18, y + 60, [desc], size=13, color="#394255", max_chars=76, line_h=18)
+        parts.append(f'<rect x="{x}" y="{y}" width="660" height="100" rx="8" fill="#071207" stroke="#a7f078" stroke-opacity="0.22"/>')
+        parts.append(f'<text x="{x + 18}" y="{y + 33}" font-family="Inter Tight, Arial, sans-serif" font-size="18" font-weight="800" fill="{color}">{html.escape(title)}</text>')
+        draw_text_block(parts, x + 18, y + 60, [desc], size=13, color="#dce8d7", max_chars=76, line_h=18)
 
     card_w, card_h = 440, 248
     gap_x, gap_y = 30, 30
@@ -405,24 +410,24 @@ def svg_task_architectures(path: Path, summary: dict) -> None:
         x = start_x + col * (card_w + gap_x)
         y = start_y + card_row * (card_h + gap_y)
         color = family_colors[row["family"]]
-        parts.append(f'<rect x="{x}" y="{y}" width="{card_w}" height="{card_h}" rx="8" fill="#ffffff" stroke="#dce2ec" stroke-width="2"/>')
+        parts.append(f'<rect x="{x}" y="{y}" width="{card_w}" height="{card_h}" rx="8" fill="#061006" stroke="#a7f078" stroke-opacity="0.24" stroke-width="2"/>')
         parts.append(f'<rect x="{x}" y="{y}" width="8" height="{card_h}" rx="4" fill="{color}"/>')
-        parts.append(f'<rect x="{x + 20}" y="{y + 18}" width="96" height="24" rx="6" fill="#f8fafc" stroke="{color}"/>')
-        parts.append(f'<text x="{x + 68}" y="{y + 35}" text-anchor="middle" font-family="Arial, sans-serif" font-size="11" font-weight="700" fill="{color}">{html.escape(row["family"])}</text>')
-        parts.append(f'<text x="{x + 20}" y="{y + 72}" font-family="Arial, sans-serif" font-size="20" font-weight="700" fill="#10141f">{html.escape(row["task"])}</text>')
+        parts.append(f'<rect x="{x + 20}" y="{y + 18}" width="96" height="24" rx="6" fill="#071207" stroke="{color}" stroke-opacity="0.72"/>')
+        parts.append(f'<text x="{x + 68}" y="{y + 35}" text-anchor="middle" font-family="Space Grotesk, Arial, sans-serif" font-size="11" font-weight="800" fill="{color}">{html.escape(row["family"])}</text>')
+        parts.append(f'<text x="{x + 20}" y="{y + 72}" font-family="Inter Tight, Arial, sans-serif" font-size="20" font-weight="800" fill="#f4f8ef">{html.escape(row["task"])}</text>')
         cursor = y + 104
         for label in ("input", "head", "output", "metric"):
-            parts.append(f'<text x="{x + 20}" y="{cursor}" font-family="Arial, sans-serif" font-size="12" font-weight="700" fill="{color}">{label.upper()}</text>')
-            cursor = draw_text_block(parts, x + 92, cursor, [row[label]], size=13, color="#394255", max_chars=41, line_h=17)
+            parts.append(f'<text x="{x + 20}" y="{cursor}" font-family="Space Grotesk, Arial, sans-serif" font-size="12" font-weight="800" fill="{color}">{label.upper()}</text>')
+            cursor = draw_text_block(parts, x + 92, cursor, [row[label]], size=13, color="#dce8d7", max_chars=41, line_h=17)
             cursor += 8
 
     notes = [
         "Interpretation: this suite tests whether each input/output contract is wired correctly before scaling to many episodes.",
         "Research-grade claims need held-out episode splits and stronger sequence/vision-language/robot-policy models.",
     ]
-    parts.append('<rect x="60" y="1688" width="1380" height="72" rx="8" fill="#f8fafc" stroke="#dce2ec"/>')
+    parts.append('<rect x="60" y="1688" width="1380" height="72" rx="8" fill="#071207" stroke="#a7f078" stroke-opacity="0.22"/>')
     for i, line in enumerate(notes):
-        parts.append(f'<text x="84" y="{1718 + i * 24}" font-family="Arial, sans-serif" font-size="15" fill="#273143">{html.escape(line)}</text>')
+        parts.append(f'<text x="84" y="{1718 + i * 24}" font-family="Space Grotesk, Arial, sans-serif" font-size="15" fill="#dce8d7">{html.escape(line)}</text>')
     parts.append("</svg>")
     path.write_text("\n".join(parts), encoding="utf-8")
 

scripts/render_overview_figures.py

@@ -28,33 +28,33 @@ DEFAULT_PIPELINE_OUTPUT = ASSETS / "pipeline_diagram.png"
 DEFAULT_ARCHITECTURE_OUTPUT = ASSETS / "task_architectures.png"
 
 PIPELINE_WIDTH = 1800
-PIPELINE_HEIGHT = 1000
+PIPELINE_HEIGHT = 1120
 ARCHITECTURE_WIDTH = 1800
 ARCHITECTURE_HEIGHT = 1520
 
 
 COLORS = {
-    "blue": "#1f6c9f",
-    "teal": "#197d83",
-    "green": "#346538",
-    "amber": "#956400",
-    "orange": "#b65b04",
-    "red": "#9f2f2d",
-    "ink": "#1f2421",
-    "muted": "#5f625d",
-    "line": "#e4ded4",
+    "blue": "#9bdfff",
+    "teal": "#7ae5c3",
+    "green": "#a7f078",
+    "amber": "#d8f4a5",
+    "orange": "#b7ff91",
+    "red": "#ff8f7a",
+    "ink": "#f4f8ef",
+    "muted": "#a5afa2",
+    "line": "#2b4428",
 }
 
 
 TASK_GROUPS = [
-    ("Label + State", "#197d83", ["timeline_action", "timeline_subtask", "next_action"]),
+    ("Label + State", "#9bdfff", ["timeline_action", "timeline_subtask", "next_action"]),
     (
         "Prediction + Reconstruction",
-        "#1f6c9f",
+        "#a7f078",
         ["hand_trajectory_forecast", "modality_reconstruction", "contact_prediction"],
     ),
-    ("Grounding + Retrieval", "#956400", ["caption_grounding", "cross_modal_retrieval", "object_relevance"]),
-    ("Temporal Diagnostics", "#9f2f2d", ["transition_detection", "temporal_order", "misalignment_detection"]),
+    ("Grounding + Retrieval", "#7ae5c3", ["caption_grounding", "cross_modal_retrieval", "object_relevance"]),
+    ("Temporal Diagnostics", "#d8f4a5", ["transition_detection", "temporal_order", "misalignment_detection"]),
 ]
 
 
@@ -168,30 +168,30 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
   <meta charset="utf-8">
   <style>
     * {{ box-sizing: border-box; }}
-    body {{ margin: 0; background: #fbfaf7; font-family: "Avenir Next", "SF Pro Display", Arial, sans-serif; }}
+    body {{ margin: 0; background: #020502; font-family: "Inter Tight", "Space Grotesk", Arial, sans-serif; }}
     .canvas {{
       position: relative;
       width: {PIPELINE_WIDTH}px;
       height: {PIPELINE_HEIGHT}px;
       overflow: hidden;
-      color: #1f2421;
+      color: #f4f8ef;
       background:
-        linear-gradient(90deg, rgba(68,55,38,0.03) 1px, transparent 1px),
-        linear-gradient(0deg, rgba(68,55,38,0.024) 1px, transparent 1px),
-        #fbfaf7;
-      background-size: 58px 58px, 58px 58px, auto;
+        radial-gradient(circle at 78% 24%, rgba(167,240,120,0.18), transparent 24%),
+        radial-gradient(circle, rgba(167,240,120,0.16) 1px, transparent 2px),
+        #020502;
+      background-size: auto, 18px 18px, auto;
     }}
     .base-layer {{
       position: absolute;
       inset: 0;
       background-size: cover;
       background-position: center;
-      filter: saturate(0.95) contrast(0.98);
+      filter: saturate(1.08) contrast(1.05) brightness(0.48);
     }}
     .wash {{
       position: absolute;
       inset: 0;
-      background: linear-gradient(180deg, rgba(251,250,247,0.72), rgba(251,250,247,0.9));
+      background: linear-gradient(180deg, rgba(2,5,2,0.76), rgba(2,5,2,0.94));
     }}
     .content {{
       position: relative;
@@ -207,7 +207,7 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
     }}
     .kicker {{
       font: 700 17px "SF Mono", Menlo, monospace;
-      color: #68665f;
+      color: #a7f078;
       text-transform: uppercase;
       letter-spacing: 0.09em;
       margin-bottom: 14px;
@@ -221,7 +221,7 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
     .subtitle {{
       margin: 18px 0 0;
       max-width: 1010px;
-      color: #4d524d;
+      color: #dce8d7;
       font-size: 24px;
       line-height: 1.42;
       font-weight: 520;
@@ -233,23 +233,23 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
       margin-top: 2px;
     }}
     .metric {{
-      background: rgba(255,254,253,0.86);
-      border: 1px solid #e4ded4;
+      background: rgba(7,18,7,0.86);
+      border: 1px solid rgba(167,240,120,0.26);
       border-radius: 8px;
       padding: 13px 15px 12px;
-      box-shadow: 0 16px 40px rgba(68,55,38,0.06);
+      box-shadow: 0 16px 44px rgba(0,0,0,0.42);
     }}
     .metric strong {{
       display: block;
       font: 850 24px "SF Mono", Menlo, monospace;
-      color: #1f2421;
+      color: #f4f8ef;
       line-height: 1;
       font-variant-numeric: tabular-nums;
     }}
     .metric span {{
       display: block;
       margin-top: 7px;
-      color: #696d67;
+      color: #a5afa2;
       font-size: 14px;
       font-weight: 650;
     }}
@@ -270,11 +270,11 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
       flex: 1 1 0;
       height: 182px;
       position: relative;
-      background: rgba(255,254,253,0.88);
-      border: 1px solid rgba(228,222,212,0.96);
+      background: rgba(7,18,7,0.86);
+      border: 1px solid rgba(167,240,120,0.24);
       border-radius: 8px;
       padding: 24px 24px 22px 30px;
-      box-shadow: 0 24px 62px rgba(68,55,38,0.09);
+      box-shadow: 0 24px 62px rgba(0,0,0,0.40);
       backdrop-filter: blur(12px);
     }}
     .stage::before {{
@@ -301,7 +301,7 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
       margin: 0;
       padding: 0;
       list-style: none;
-      color: #39413d;
+      color: #dce8d7;
       font-size: 17px;
       line-height: 1.48;
       font-weight: 560;
@@ -313,11 +313,11 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
       display: grid;
       place-items: center;
       border-radius: 999px;
-      border: 1px solid #d7d0c4;
-      background: rgba(255,254,253,0.78);
-      color: #7c807a;
+      border: 1px solid rgba(167,240,120,0.26);
+      background: rgba(7,18,7,0.78);
+      color: #a7f078;
       font: 850 22px "SF Mono", Menlo, monospace;
-      box-shadow: 0 14px 34px rgba(68,55,38,0.06);
+      box-shadow: 0 14px 34px rgba(0,0,0,0.36);
     }}
     .audit {{
       position: absolute;
@@ -328,14 +328,14 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
       grid-template-columns: 190px 1fr;
       gap: 26px;
       align-items: center;
-      background: rgba(255,254,253,0.88);
-      border: 1px solid #e4ded4;
+      background: rgba(7,18,7,0.88);
+      border: 1px solid rgba(167,240,120,0.24);
       border-radius: 8px;
       padding: 24px 28px;
-      box-shadow: 0 22px 52px rgba(68,55,38,0.08);
+      box-shadow: 0 22px 52px rgba(0,0,0,0.42);
     }}
     .audit strong {{
-      color: #1f2421;
+      color: #f4f8ef;
       font-size: 23px;
       line-height: 1.1;
     }}
@@ -343,7 +343,7 @@ def build_pipeline_html(summary: dict, base_path: Path) -> str:
       margin: 0;
       padding: 0;
       list-style: none;
-      color: #40463f;
+      color: #dce8d7;
       font-size: 17px;
       line-height: 1.55;
       font-weight: 560;
@@ -445,30 +445,30 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
   <meta charset="utf-8">
   <style>
     * {{ box-sizing: border-box; }}
-    body {{ margin: 0; background: #fbfaf7; font-family: "Avenir Next", "SF Pro Display", Arial, sans-serif; }}
+    body {{ margin: 0; background: #020502; font-family: "Inter Tight", "Space Grotesk", Arial, sans-serif; }}
     .canvas {{
       position: relative;
       width: {ARCHITECTURE_WIDTH}px;
       height: {ARCHITECTURE_HEIGHT}px;
       overflow: hidden;
-      color: #1f2421;
+      color: #f4f8ef;
       background:
-        linear-gradient(90deg, rgba(68,55,38,0.03) 1px, transparent 1px),
-        linear-gradient(0deg, rgba(68,55,38,0.024) 1px, transparent 1px),
-        #fbfaf7;
-      background-size: 58px 58px, 58px 58px, auto;
+        radial-gradient(circle at 76% 18%, rgba(167,240,120,0.16), transparent 24%),
+        radial-gradient(circle, rgba(167,240,120,0.13) 1px, transparent 2px),
+        #020502;
+      background-size: auto, 18px 18px, auto;
     }}
     .base-layer {{
       position: absolute;
       inset: 0;
       background-size: cover;
       background-position: center;
-      filter: saturate(0.95) contrast(0.98);
+      filter: saturate(1.08) contrast(1.05) brightness(0.48);
     }}
     .wash {{
       position: absolute;
       inset: 0;
-      background: linear-gradient(180deg, rgba(251,250,247,0.72), rgba(251,250,247,0.92));
+      background: linear-gradient(180deg, rgba(2,5,2,0.76), rgba(2,5,2,0.94));
     }}
     .content {{
       position: relative;
@@ -484,7 +484,7 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     }}
     .kicker {{
       font: 700 16px "SF Mono", Menlo, monospace;
-      color: #68665f;
+      color: #a7f078;
       text-transform: uppercase;
       letter-spacing: 0.09em;
       margin-bottom: 13px;
@@ -498,7 +498,7 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     .subtitle {{
       margin: 15px 0 0;
       max-width: 1060px;
-      color: #4d524d;
+      color: #dce8d7;
       font-size: 22px;
       line-height: 1.42;
       font-weight: 520;
@@ -508,10 +508,10 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
       place-items: center;
       min-width: 188px;
       min-height: 112px;
-      border: 1px solid #e4ded4;
+      border: 1px solid rgba(167,240,120,0.26);
       border-radius: 8px;
-      background: rgba(255,254,253,0.86);
-      box-shadow: 0 18px 44px rgba(68,55,38,0.07);
+      background: rgba(7,18,7,0.86);
+      box-shadow: 0 18px 44px rgba(0,0,0,0.42);
       text-align: center;
     }}
     .summary-pill strong {{
@@ -521,7 +521,7 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     .summary-pill span {{
       display: block;
       margin-top: 8px;
-      color: #6c6d68;
+      color: #a5afa2;
       font-size: 15px;
       font-weight: 700;
     }}
@@ -533,11 +533,11 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     }}
     .shared article {{
       min-height: 110px;
-      border: 1px solid #e4ded4;
+      border: 1px solid rgba(167,240,120,0.24);
       border-radius: 8px;
-      background: rgba(255,254,253,0.88);
+      background: rgba(7,18,7,0.86);
       padding: 20px 22px;
-      box-shadow: 0 18px 44px rgba(68,55,38,0.06);
+      box-shadow: 0 18px 44px rgba(0,0,0,0.36);
     }}
     .shared h2 {{
       margin: 0 0 9px;
@@ -546,7 +546,7 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     }}
     .shared p {{
       margin: 0;
-      color: #4c534f;
+      color: #dce8d7;
       font-size: 16px;
       line-height: 1.38;
       font-weight: 560;
@@ -559,11 +559,11 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     }}
     .family {{
       min-height: 124px;
-      border: 1px solid #e4ded4;
+      border: 1px solid rgba(167,240,120,0.24);
       border-radius: 8px;
-      background: rgba(255,254,253,0.82);
+      background: rgba(7,18,7,0.82);
       padding: 20px 20px 18px;
-      box-shadow: 0 16px 40px rgba(68,55,38,0.055);
+      box-shadow: 0 16px 40px rgba(0,0,0,0.34);
     }}
     .family h3 {{
       margin: 0 0 10px;
@@ -573,7 +573,7 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     }}
     .family p {{
       margin: 0;
-      color: #4d534f;
+      color: #dce8d7;
       font-size: 15px;
       line-height: 1.42;
       font-weight: 560;
@@ -584,11 +584,11 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
       gap: 20px;
     }}
     .task-group {{
-      border: 1px solid rgba(228,222,212,0.96);
+      border: 1px solid rgba(167,240,120,0.22);
       border-radius: 8px;
-      background: rgba(255,254,253,0.74);
+      background: rgba(7,18,7,0.74);
       padding: 18px;
-      box-shadow: 0 22px 54px rgba(68,55,38,0.07);
+      box-shadow: 0 22px 54px rgba(0,0,0,0.42);
       backdrop-filter: blur(10px);
     }}
     .group-head {{
@@ -616,9 +616,9 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
     .task-card {{
       min-height: 244px;
       position: relative;
-      border: 1px solid color-mix(in srgb, var(--accent), #ffffff 68%);
+      border: 1px solid color-mix(in srgb, var(--accent), #020502 66%);
       border-radius: 8px;
-      background: rgba(255,254,253,0.92);
+      background: rgba(7,18,7,0.92);
       padding: 17px 18px 16px;
       overflow: hidden;
     }}
@@ -639,11 +639,11 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
       font: 850 11px "SF Mono", Menlo, monospace;
       text-transform: uppercase;
       letter-spacing: 0.03em;
-      background: rgba(255,254,253,0.72);
+      background: rgba(7,18,7,0.72);
     }}
     .task-card h3 {{
       margin: 13px 0 12px;
-      color: #161a17;
+      color: #f4f8ef;
       font-size: 21px;
       line-height: 1.08;
       overflow-wrap: anywhere;
@@ -653,7 +653,7 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
       grid-template-columns: 54px 1fr;
       gap: 5px 9px;
       margin: 0;
-      color: #3d453f;
+      color: #dce8d7;
       font-size: 13px;
       line-height: 1.32;
       font-weight: 560;
@@ -671,13 +671,13 @@ def build_architecture_html(summary: dict, base_path: Path) -> str:
       gap: 12px;
       align-items: center;
       margin-top: 12px;
-      border-top: 1px solid #eee9e1;
+      border-top: 1px solid rgba(167,240,120,0.16);
       padding-top: 12px;
       font-size: 13px;
       font-weight: 700;
     }}
     .metric-line span {{
-      color: #6c6d68;
+      color: #a5afa2;
       font: 850 11px "SF Mono", Menlo, monospace;
       text-transform: uppercase;
     }}

scripts/render_task_suite_infographic.py

@@ -34,8 +34,8 @@ GROUPS = [
     {
         "name": "Label + State",
         "tone": "teal",
-        "color": "#197d83",
-        "soft": "#e8f4f3",
+        "color": "#9bdfff",
+        "soft": "#071d20",
         "tasks": [
             ("timeline_action", "supervised"),
             ("timeline_subtask", "supervised"),
@@ -45,8 +45,8 @@ GROUPS = [
     {
         "name": "Prediction + Reconstruction",
         "tone": "blue",
-        "color": "#1f6c9f",
-        "soft": "#e8f1fb",
+        "color": "#a7f078",
+        "soft": "#10210a",
         "tasks": [
             ("hand_trajectory_forecast", "forecast"),
             ("modality_reconstruction", "forecast"),
@@ -56,8 +56,8 @@ GROUPS = [
     {
         "name": "Grounding + Retrieval",
         "tone": "amber",
-        "color": "#9b6516",
-        "soft": "#fbf3df",
+        "color": "#7ae5c3",
+        "soft": "#092019",
         "tasks": [
             ("caption_grounding", "retrieval"),
             ("cross_modal_retrieval", "retrieval"),
@@ -67,8 +67,8 @@ GROUPS = [
     {
         "name": "Temporal Diagnostics",
         "tone": "red",
-        "color": "#b0443e",
-        "soft": "#fdeceb",
+        "color": "#d8f4a5",
+        "soft": "#1b210d",
         "tasks": [
             ("transition_detection", "diagnostic"),
             ("temporal_order", "diagnostic"),
@@ -107,7 +107,7 @@ def image_data_uri(image, fmt: str = "PNG", quality: int = 92) -> str:
     return f"data:image/{mime};base64,{encoded}"
 
 
-def make_canvas(size=(THUMB_WIDTH, THUMB_HEIGHT), color=(255, 254, 253)):
+def make_canvas(size=(THUMB_WIDTH, THUMB_HEIGHT), color=(2, 5, 2)):
     from PIL import Image
 
     return Image.new("RGB", size, color)
@@ -138,7 +138,7 @@ def read_video_frame(video_path: Path, frame_index: int = 2400):
     return Image.fromarray(frame)
 
 
-def draw_label(draw, xy, text, fill=(31, 36, 33), size=18):
+def draw_label(draw, xy, text, fill=(244, 248, 239), size=18):
     from PIL import ImageFont
 
     try:
@@ -158,7 +158,7 @@ def video_thumb(sample_dir: Path) -> str:
     canvas.paste(fish, (0, 0))
     canvas.paste(stereo, (226, 0))
     draw = ImageDraw.Draw(canvas, "RGBA")
-    draw.rounded_rectangle((188, 0, 232, THUMB_HEIGHT), radius=0, fill=(251, 250, 247, 235))
+    draw.rounded_rectangle((188, 0, 232, THUMB_HEIGHT), radius=0, fill=(2, 5, 2, 220))
     draw_label(draw, (194, 16), "fisheye", fill=(255, 255, 255), size=14)
     draw_label(draw, (240, 16), "stereo", fill=(255, 255, 255), size=14)
     return image_data_uri(canvas, "JPEG")
@@ -168,11 +168,11 @@ def colorize(values):
     import numpy as np
 
     stops = np.array([
-        [26, 35, 126],
-        [36, 123, 160],
-        [68, 170, 122],
-        [238, 190, 76],
-        [197, 79, 51],
+        [2, 5, 2],
+        [58, 136, 102],
+        [122, 229, 195],
+        [167, 240, 120],
+        [216, 244, 165],
     ], dtype=np.float32)
     x = np.clip(values, 0, 1)
     scaled = x * (len(stops) - 1)
@@ -200,8 +200,8 @@ def depth_thumb(h5) -> str:
     canvas.paste(depth, (0, 0))
     canvas.paste(conf_img, (216, 0))
     draw = ImageDraw.Draw(canvas, "RGBA")
-    draw.rounded_rectangle((0, 0, 116, 28), radius=6, fill=(31, 36, 33, 150))
-    draw.rounded_rectangle((216, 0, 350, 28), radius=6, fill=(31, 36, 33, 150))
+    draw.rounded_rectangle((0, 0, 116, 28), radius=6, fill=(2, 5, 2, 178))
+    draw.rounded_rectangle((216, 0, 350, 28), radius=6, fill=(2, 5, 2, 178))
     draw_label(draw, (10, 6), "depth", fill=(255, 255, 255), size=14)
     draw_label(draw, (226, 6), "confidence", fill=(255, 255, 255), size=14)
     return image_data_uri(canvas, "JPEG")
@@ -248,19 +248,19 @@ def audio_thumb(sample_dir: Path) -> str:
         for i, value in enumerate(rms):
             x = 18 + i / max(bins - 1, 1) * (THUMB_WIDTH - 36)
             h = 8 + np.clip(value * 86, 0, 86)
-            draw.line((x, 126, x, 126 - h), fill=(31, 108, 159, 150), width=2)
+            draw.line((x, 126, x, 126 - h), fill=(167, 240, 120, 170), width=2)
         points = []
         for i, value in enumerate(waveform):
             x = 18 + i / max(bins - 1, 1) * (THUMB_WIDTH - 36)
             y = 74 - np.clip(value, -1, 1) * 42
             points.append((x, y))
-        draw.line(points, fill=(155, 101, 22, 210), width=2)
+        draw.line(points, fill=(122, 229, 195, 220), width=2)
     except Exception:
         for i in range(48):
             x = 22 + i * 8
             h = 16 + (i % 7) * 7
-            draw.rounded_rectangle((x, 128 - h, x + 4, 128), radius=2, fill=(31, 108, 159, 150))
-    draw_label(draw, (16, 12), "AAC audio waveform", fill=(31, 36, 33), size=17)
+            draw.rounded_rectangle((x, 128 - h, x + 4, 128), radius=2, fill=(167, 240, 120, 170))
+    draw_label(draw, (16, 12), "AAC audio waveform", fill=(244, 248, 239), size=17)
     return image_data_uri(canvas, "PNG")
 
 
@@ -299,8 +299,8 @@ def slam_thumb(h5) -> str:
     traj = np.array(h5["slam/trans_xyz"][:2450:36], dtype=np.float64)
     traj_xy = normalize_points(traj[:, [0, 2, 1]], THUMB_WIDTH, THUMB_HEIGHT)
     for a, b in zip(traj_xy[:-1], traj_xy[1:]):
-        draw.line((a[0], a[1], b[0], b[1]), fill=(31, 108, 159, 190), width=2)
-    draw_label(draw, (16, 14), "camera pose + SLAM map", fill=(31, 36, 33), size=17)
+        draw.line((a[0], a[1], b[0], b[1]), fill=(167, 240, 120, 205), width=2)
+    draw_label(draw, (16, 14), "camera pose + SLAM map", fill=(244, 248, 239), size=17)
     return image_data_uri(canvas, "PNG")
 
 
@@ -314,10 +314,10 @@ def imu_thumb(h5) -> str:
     accel = np.array(h5["imu/accel_xyz"][max(0, key_idx - 220): key_idx + 220], dtype=np.float64)
     gyro = np.array(h5["imu/gyro_xyz"][max(0, key_idx - 220): key_idx + 220], dtype=np.float64)
     series = [accel[:, 0], accel[:, 1], accel[:, 2], gyro[:, 0], gyro[:, 1], gyro[:, 2]]
-    colors = [(31, 108, 159), (52, 101, 56), (176, 68, 62), (155, 101, 22), (46, 119, 117), (96, 109, 128)]
+    colors = [(167, 240, 120), (122, 229, 195), (155, 223, 255), (216, 244, 165), (244, 248, 239), (165, 175, 162)]
     for row in range(4):
         y = 26 + row * 33
-        draw.line((18, y, THUMB_WIDTH - 18, y), fill=(228, 222, 212, 180), width=1)
+        draw.line((18, y, THUMB_WIDTH - 18, y), fill=(167, 240, 120, 48), width=1)
     for values, color in zip(series, colors):
         values = values[:420]
         if len(values) < 2:
@@ -330,7 +330,7 @@ def imu_thumb(h5) -> str:
             y = 138 - np.clip(v, 0, 1) * 112
             pts.append((x, y))
         draw.line(pts, fill=color + (200,), width=2)
-    draw_label(draw, (16, 12), "inertial accel / gyro", fill=(31, 36, 33), size=17)
+    draw_label(draw, (16, 12), "inertial accel / gyro", fill=(244, 248, 239), size=17)
     return image_data_uri(canvas, "PNG")
 
 
@@ -357,17 +357,17 @@ def mocap_thumb(h5) -> str:
 
     body_xy = project(body, 18, 165)
     for x, y in body_xy:
-        draw.ellipse((x - 2.4, y - 2.4, x + 2.4, y + 2.4), fill=(52, 101, 56, 175))
+        draw.ellipse((x - 2.4, y - 2.4, x + 2.4, y + 2.4), fill=(167, 240, 120, 185))
     for a, b in zip(body_xy[:-1], body_xy[1:]):
-        draw.line((a[0], a[1], b[0], b[1]), fill=(52, 101, 56, 70), width=1)
+        draw.line((a[0], a[1], b[0], b[1]), fill=(167, 240, 120, 82), width=1)
 
-    for points, x_offset, color in [(left, 218, (31, 108, 159)), (right, 314, (155, 101, 22))]:
+    for points, x_offset, color in [(left, 218, (122, 229, 195)), (right, 314, (216, 244, 165))]:
         xy = project(points, x_offset, 82)
         for a, b in HAND_EDGES:
             draw.line((xy[a][0], xy[a][1], xy[b][0], xy[b][1]), fill=color + (180,), width=2)
         for x, y in xy:
             draw.ellipse((x - 2.4, y - 2.4, x + 2.4, y + 2.4), fill=color + (220,))
-    draw_label(draw, (16, 12), "body + hand mocap", fill=(31, 36, 33), size=17)
+    draw_label(draw, (16, 12), "body + hand mocap", fill=(244, 248, 239), size=17)
     return image_data_uri(canvas, "PNG")
 
 
@@ -383,18 +383,18 @@ def text_thumb(h5) -> str:
     actions = [a.get("label", "") for a in segment.get("Current Action", [])][:2]
     canvas = make_canvas()
     draw = ImageDraw.Draw(canvas, "RGBA")
-    draw_label(draw, (16, 13), "language annotation", fill=(31, 36, 33), size=17)
+    draw_label(draw, (16, 13), "language annotation", fill=(244, 248, 239), size=17)
     y = 46
     for label in objects:
-        draw.rounded_rectangle((16, y, 16 + 20 + len(label) * 8, y + 24), radius=6, fill=(251, 243, 219, 230), outline=(226, 200, 144, 255))
-        draw_label(draw, (26, y + 5), label, fill=(83, 74, 56), size=12)
+        draw.rounded_rectangle((16, y, 16 + 20 + len(label) * 8, y + 24), radius=6, fill=(7, 18, 7, 235), outline=(167, 240, 120, 170))
+        draw_label(draw, (26, y + 5), label, fill=(244, 248, 239), size=12)
         y += 30
     x = 184
     y = 48
     for action in actions:
         wrapped = action[:32] + ("..." if len(action) > 32 else "")
-        draw.rounded_rectangle((x, y, THUMB_WIDTH - 16, y + 36), radius=7, fill=(232, 244, 243, 230), outline=(169, 204, 202, 255))
-        draw_label(draw, (x + 10, y + 10), wrapped, fill=(31, 36, 33), size=12)
+        draw.rounded_rectangle((x, y, THUMB_WIDTH - 16, y + 36), radius=7, fill=(7, 18, 7, 235), outline=(122, 229, 195, 170))
+        draw_label(draw, (x + 10, y + 10), wrapped, fill=(244, 248, 239), size=12)
         y += 44
     return image_data_uri(canvas, "PNG")
 
@@ -569,11 +569,11 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       margin: 0;
       width: {CANVAS_WIDTH}px;
       height: {CANVAS_HEIGHT}px;
-      background: #fbfaf7;
+      background: #020502;
     }}
     body {{
-      font-family: "Avenir Next", "SF Pro Display", ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
-      color: #1f2421;
+      font-family: "Inter Tight", "Space Grotesk", ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
+      color: #f4f8ef;
       text-rendering: optimizeLegibility;
     }}
     .canvas {{
@@ -583,12 +583,10 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       overflow: hidden;
       padding: 54px 64px 44px;
       background:
-        radial-gradient(circle at 9% 6%, rgba(31,108,159,0.13), transparent 20%),
-        radial-gradient(circle at 90% 9%, rgba(155,101,22,0.10), transparent 22%),
-        linear-gradient(90deg, rgba(68,55,38,0.035) 1px, transparent 1px),
-        linear-gradient(0deg, rgba(68,55,38,0.027) 1px, transparent 1px),
-        #fbfaf7;
-      background-size: auto, auto, 54px 54px, 54px 54px, auto;
+        radial-gradient(circle at 72% 10%, rgba(167,240,120,0.18), transparent 24%),
+        radial-gradient(circle at 20% 28%, rgba(255,255,255,0.10) 1px, transparent 2px),
+        #020502;
+      background-size: auto, 18px 18px, auto;
     }}
     .image-background {{
       position: absolute;
@@ -596,8 +594,8 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       background-position: center;
       background-repeat: no-repeat;
       background-size: cover;
-      opacity: 0.30;
-      filter: saturate(0.85) contrast(0.98);
+      opacity: 0.36;
+      filter: saturate(1.05) contrast(1.08) brightness(0.42);
     }}
     .content {{
       position: relative;
@@ -609,13 +607,13 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       gap: 44px;
       align-items: end;
       padding-bottom: 30px;
-      border-bottom: 1px solid #e4ded4;
+      border-bottom: 1px solid rgba(167,240,120,0.20);
     }}
     .kicker {{
       display: inline-flex;
       align-items: center;
       gap: 12px;
-      color: #5f625d;
+      color: #a7f078;
       font-family: "SF Mono", "JetBrains Mono", ui-monospace, monospace;
       font-size: 15px;
       text-transform: uppercase;
@@ -625,7 +623,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       content: "";
       width: 44px;
       height: 1px;
-      background: #1f2421;
+      background: #a7f078;
     }}
     h1 {{
       margin: 18px 0 0;
@@ -637,7 +635,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     .subtitle {{
       margin: 18px 0 0;
       max-width: 900px;
-      color: #5f625d;
+      color: #dce8d7;
       font-size: 23px;
       line-height: 1.35;
       font-weight: 520;
@@ -650,9 +648,9 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     .stat {{
       min-height: 78px;
       padding: 14px 15px;
-      border: 1px solid #e4ded4;
-      background: rgba(255,254,253,0.76);
-      border-radius: 10px;
+      border: 1px solid rgba(167,240,120,0.24);
+      background: rgba(7,18,7,0.80);
+      border-radius: 8px;
     }}
     .stat strong {{
       display: block;
@@ -664,7 +662,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     .stat span {{
       display: block;
       margin-top: 8px;
-      color: #6f716c;
+      color: #a5afa2;
       font-size: 13px;
       line-height: 1.15;
     }}
@@ -673,14 +671,14 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       align-items: center;
       justify-content: space-between;
       margin: 28px 0 14px;
-      color: #5f625d;
+      color: #a5afa2;
       font-family: "SF Mono", "JetBrains Mono", ui-monospace, monospace;
       font-size: 14px;
       text-transform: uppercase;
       letter-spacing: 0.08em;
     }}
     .section-label span:last-child {{
-      color: #7e817b;
+      color: #dce8d7;
       text-transform: none;
       letter-spacing: 0;
       font-family: inherit;
@@ -693,16 +691,16 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     .modality {{
       min-height: 204px;
       padding: 11px 12px 14px;
-      border: 1px solid #e4ded4;
-      background: rgba(255,254,253,0.84);
-      border-radius: 12px;
+      border: 1px solid rgba(167,240,120,0.22);
+      background: rgba(7,18,7,0.84);
+      border-radius: 8px;
     }}
     .modality-thumb {{
       height: 86px;
       overflow: hidden;
-      border: 1px solid #eee9e1;
-      border-radius: 9px;
-      background: #f5f1e9;
+      border: 1px solid rgba(167,240,120,0.16);
+      border-radius: 8px;
+      background: #020502;
     }}
     .modality-thumb img {{
       display: block;
@@ -716,7 +714,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       font-variant-numeric: tabular-nums;
     }}
     .modality-index {{
-      color: #8a8072;
+      color: #a5afa2;
       font-size: 12px;
       margin-top: 10px;
     }}
@@ -728,14 +726,14 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     }}
     .modality p {{
       margin: 9px 0 0;
-      color: #4f565f;
+      color: #dce8d7;
       font-size: 14px;
       font-weight: 650;
     }}
     .modality span {{
       display: block;
       margin-top: 5px;
-      color: #7a7d77;
+      color: #a5afa2;
       font-size: 13px;
     }}
     .shared-band {{
@@ -745,16 +743,16 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       align-items: center;
       margin-top: 20px;
       padding: 14px;
-      border: 1px solid #e4ded4;
-      background: rgba(245,241,233,0.82);
-      border-radius: 12px;
+      border: 1px solid rgba(167,240,120,0.22);
+      background: rgba(7,18,7,0.72);
+      border-radius: 8px;
     }}
     .step {{
       min-height: 62px;
       padding: 13px 15px;
-      background: #fffefd;
-      border: 1px solid #eee9e1;
-      border-radius: 9px;
+      background: rgba(7,18,7,0.92);
+      border: 1px solid rgba(167,240,120,0.16);
+      border-radius: 8px;
     }}
     .step strong {{
       display: block;
@@ -764,11 +762,11 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     .step span {{
       display: block;
       margin-top: 5px;
-      color: #6f716c;
+      color: #a5afa2;
       font-size: 13px;
     }}
     .arrow {{
-      color: #938a7d;
+      color: #a7f078;
       font-family: "SF Mono", "JetBrains Mono", ui-monospace, monospace;
       font-size: 22px;
     }}
@@ -780,9 +778,9 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     }}
     .family {{
       padding: 17px;
-      border: 1px solid color-mix(in srgb, var(--accent) 24%, #e4ded4);
-      background: rgba(255,254,253,0.82);
-      border-radius: 16px;
+      border: 1px solid color-mix(in srgb, var(--accent) 28%, #020502);
+      background: rgba(7,18,7,0.82);
+      border-radius: 8px;
     }}
     .family-head {{
       display: flex;
@@ -791,7 +789,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       gap: 16px;
       min-height: 78px;
       padding-bottom: 14px;
-      border-bottom: 1px solid color-mix(in srgb, var(--accent) 18%, #eee9e1);
+      border-bottom: 1px solid color-mix(in srgb, var(--accent) 24%, #020502);
     }}
     .family-head span {{
       color: var(--accent);
@@ -815,9 +813,9 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     .task-card {{
       min-height: 168px;
       padding: 17px 18px;
-      border: 1px solid color-mix(in srgb, var(--accent) 22%, #e4ded4);
-      background: linear-gradient(180deg, #fffefd, color-mix(in srgb, var(--soft) 45%, #fffefd));
-      border-radius: 13px;
+      border: 1px solid color-mix(in srgb, var(--accent) 28%, #020502);
+      background: linear-gradient(180deg, rgba(10,24,10,0.96), color-mix(in srgb, var(--soft) 24%, #071207));
+      border-radius: 8px;
     }}
     .task-meta {{
       display: flex;
@@ -826,7 +824,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       gap: 12px;
     }}
     .index {{
-      color: #8a8072;
+      color: #a5afa2;
       font-size: 12px;
     }}
     .kind {{
@@ -835,9 +833,9 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       height: 24px;
       padding: 0 9px;
       border-radius: 6px;
-      border: 1px solid color-mix(in srgb, var(--accent) 30%, #ffffff);
+      border: 1px solid color-mix(in srgb, var(--accent) 40%, #020502);
       color: var(--accent);
-      background: rgba(255,255,255,0.72);
+      background: rgba(2,5,2,0.48);
       text-transform: uppercase;
       font-size: 11px;
       line-height: 1;
@@ -845,7 +843,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     }}
     .task-card h3 {{
       margin: 12px 0 0;
-      color: #111827;
+      color: #f4f8ef;
       font-family: "SF Mono", "JetBrains Mono", ui-monospace, monospace;
       font-size: 21px;
       line-height: 1.18;
@@ -854,7 +852,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
     .task-card p {{
       margin: 11px 0 0;
       min-height: 39px;
-      color: #4f565f;
+      color: #dce8d7;
       font-size: 15px;
       line-height: 1.28;
       font-weight: 560;
@@ -867,16 +865,16 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       min-height: 32px;
       padding: 7px 10px;
       border-radius: 8px;
-      border: 1px solid color-mix(in srgb, var(--accent) 32%, #ffffff);
-      background: rgba(255,255,255,0.82);
+      border: 1px solid color-mix(in srgb, var(--accent) 42%, #020502);
+      background: rgba(2,5,2,0.42);
     }}
     .metric.neural {{
       margin-left: 8px;
-      border-color: rgba(31,36,33,0.18);
-      background: rgba(245,241,233,0.82);
+      border-color: rgba(255,255,255,0.20);
+      background: rgba(255,255,255,0.08);
     }}
     .metric span {{
-      color: #64748b;
+      color: #a5afa2;
       font-size: 13px;
       font-weight: 760;
     }}
@@ -895,17 +893,17 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
       gap: 32px;
       margin-top: 22px;
       padding-top: 20px;
-      border-top: 1px solid #e4ded4;
-      color: #5f625d;
+      border-top: 1px solid rgba(167,240,120,0.20);
+      color: #a5afa2;
       font-size: 18px;
       line-height: 1.35;
       font-weight: 620;
     }}
     .footer code {{
       font-family: "SF Mono", "JetBrains Mono", ui-monospace, monospace;
-      color: #1f2421;
-      background: #f5f1e9;
-      border: 1px solid #e4ded4;
+      color: #020502;
+      background: #a7f078;
+      border: 1px solid #a7f078;
       border-radius: 7px;
       padding: 6px 9px;
       white-space: nowrap;

scripts/research_direction_extension_tasks.py

@@ -691,7 +691,7 @@ def write_markdown(payload: dict[str, Any]) -> None:
     (OUT_DIR / "research_direction_extension_summary.md").write_text("\n".join(lines).rstrip() + "\n", encoding="utf-8")
 
 
-def svg_text(x: int, y: int, text: str, size: int = 16, weight: int = 500, color: str = "#1f2421") -> str:
+def svg_text(x: int, y: int, text: str, size: int = 16, weight: int = 500, color: str = "#f4f8ef") -> str:
     return (
         f'<text x="{x}" y="{y}" font-size="{size}" font-weight="{weight}" '
         f'fill="{color}">{html.escape(text)}</text>'
@@ -702,13 +702,13 @@ def write_svg(payload: dict[str, Any]) -> None:
     CHARTS.mkdir(parents=True, exist_ok=True)
     width = 1420
     height = 920
-    colors = {"A": "#1f6c9f", "B": "#2e7775", "C": "#956400", "D": "#346538"}
+    colors = {"A": "#a7f078", "B": "#7ae5c3", "C": "#d8f4a5", "D": "#9bdfff"}
     svg: list[str] = [
         f'<svg xmlns="http://www.w3.org/2000/svg" width="{width}" height="{height}" viewBox="0 0 {width} {height}">',
-        '<rect width="1420" height="920" fill="#fbfaf7"/>',
-        '<rect x="28" y="28" width="1364" height="864" rx="18" fill="#fffefd" stroke="#e4ded4"/>',
+        '<rect width="1420" height="920" fill="#020502"/>',
+        '<rect x="28" y="28" width="1364" height="864" rx="18" fill="#050905" stroke="#a7f078" stroke-opacity="0.24"/>',
         svg_text(66, 88, "Ropedia Xperience-10M: four direction extension probes", 32, 760),
-        svg_text(66, 122, "Data-backed from the same 1,161-window public sample feature tensor; extension probes, not full direction claims.", 17, 500, "#6f716c"),
+        svg_text(66, 122, "Data-backed from the same 1,161-window public sample feature tensor; extension probes, not full direction claims.", 17, 500, "#a5afa2"),
     ]
     x0 = 66
     y0 = 166
@@ -728,15 +728,15 @@ def write_svg(payload: dict[str, Any]) -> None:
         metric = spec["metric_name"]
         svg.extend(
             [
-                f'<rect x="{x}" y="{y}" width="{card_w}" height="{card_h}" rx="10" fill="#fbfaf7" stroke="#e4ded4"/>',
+                f'<rect x="{x}" y="{y}" width="{card_w}" height="{card_h}" rx="10" fill="#071207" stroke="#a7f078" stroke-opacity="0.22"/>',
                 f'<rect x="{x}" y="{y}" width="10" height="{card_h}" rx="5" fill="{color}"/>',
                 f'<circle cx="{x + 42}" cy="{y + 40}" r="24" fill="{color}" opacity="0.14"/>',
                 svg_text(x + 32, y + 48, spec["direction"], 21, 760, color),
                 svg_text(x + 76, y + 35, spec["name"], 20, 760),
-                svg_text(x + 76, y + 62, spec["direction_name"], 13, 650, "#6f716c"),
-                svg_text(x + 76, y + 94, f"Minimal: {fmt_metric(min_v, spec['metric_key'])} {metric}", 16, 700, "#1f2421"),
-                svg_text(x + 300, y + 94, f"Neural MLP: {fmt_metric(nn_v, spec['metric_key'])} {metric}", 16, 700, "#1f2421"),
-                svg_text(x + 76, y + 125, spec["output"], 13, 500, "#4e514c"),
+                svg_text(x + 76, y + 62, spec["direction_name"], 13, 650, "#a5afa2"),
+                svg_text(x + 76, y + 94, f"Minimal: {fmt_metric(min_v, spec['metric_key'])} {metric}", 16, 700, "#f4f8ef"),
+                svg_text(x + 300, y + 94, f"Neural MLP: {fmt_metric(nn_v, spec['metric_key'])} {metric}", 16, 700, "#f4f8ef"),
+                svg_text(x + 76, y + 125, spec["output"], 13, 500, "#dce8d7"),
             ]
         )
         min_score = choose_score(task, result["minimal"])
@@ -744,22 +744,22 @@ def write_svg(payload: dict[str, Any]) -> None:
         bar_x = x + 76
         bar_y = y + 138
         bar_w = 440
-        svg.append(f'<rect x="{bar_x}" y="{bar_y}" width="{bar_w}" height="8" rx="4" fill="#eee8df"/>')
+        svg.append(f'<rect x="{bar_x}" y="{bar_y}" width="{bar_w}" height="8" rx="4" fill="#a7f078" opacity="0.14"/>')
         svg.append(f'<rect x="{bar_x}" y="{bar_y}" width="{max(4, min(bar_w, bar_w * min_score)):.1f}" height="8" rx="4" fill="{color}" opacity="0.72"/>')
-        svg.append(f'<rect x="{bar_x}" y="{bar_y + 12}" width="{bar_w}" height="8" rx="4" fill="#eee8df"/>')
-        svg.append(f'<rect x="{bar_x}" y="{bar_y + 12}" width="{max(4, min(bar_w, bar_w * nn_score)):.1f}" height="8" rx="4" fill="#1f2421" opacity="0.72"/>')
+        svg.append(f'<rect x="{bar_x}" y="{bar_y + 12}" width="{bar_w}" height="8" rx="4" fill="#a7f078" opacity="0.14"/>')
+        svg.append(f'<rect x="{bar_x}" y="{bar_y + 12}" width="{max(4, min(bar_w, bar_w * nn_score)):.1f}" height="8" rx="4" fill="#ffffff" opacity="0.78"/>')
 
     legend_y = 570
     svg.extend(
         [
             svg_text(66, legend_y, "How to read this", 24, 760),
-            svg_text(66, legend_y + 34, "Each card adds one concrete task to a research direction using existing sample modalities.", 16, 500, "#4e514c"),
-            svg_text(66, legend_y + 62, "Colored bar: minimal baseline normalized score. Dark bar: neural MLP normalized score. Lower-is-better MAE is shown as 1 - MAE for bar length only.", 16, 500, "#4e514c"),
-            '<line x1="66" y1="675" x2="1354" y2="675" stroke="#e4ded4"/>',
+            svg_text(66, legend_y + 34, "Each card adds one concrete task to a research direction using existing sample modalities.", 16, 500, "#dce8d7"),
+            svg_text(66, legend_y + 62, "Colored bar: minimal baseline normalized score. White bar: neural MLP normalized score. Lower-is-better MAE is shown as 1 - MAE for bar length only.", 16, 500, "#dce8d7"),
+            '<line x1="66" y1="675" x2="1354" y2="675" stroke="#a7f078" stroke-opacity="0.18"/>',
             svg_text(66, 724, "Implementation boundary", 22, 760),
-            svg_text(66, 758, "A: motion-energy proxy, not a full human body model. B: view-feature retrieval, not neural rendering.", 16, 500, "#4e514c"),
-            svg_text(66, 786, "C: phase-progress regression, not open-world intent. D: ego-motion forecast, not a persistent map.", 16, 500, "#4e514c"),
-            svg_text(66, 835, "All metrics are computed from held-out chronological windows of the same public sample episode.", 16, 700, "#1f2421"),
+            svg_text(66, 758, "A: motion-energy proxy, not a full human body model. B: view-feature retrieval, not neural rendering.", 16, 500, "#dce8d7"),
+            svg_text(66, 786, "C: phase-progress regression, not open-world intent. D: ego-motion forecast, not a persistent map.", 16, 500, "#dce8d7"),
+            svg_text(66, 835, "All metrics are computed from held-out chronological windows of the same public sample episode.", 16, 700, "#f4f8ef"),
         ]
     )
     svg.append("</svg>")

scripts/research_direction_taxonomy.py

@@ -483,7 +483,7 @@ def write_markdown(taxonomy: dict[str, Any]) -> None:
     )
 
 
-def svg_text(x: int, y: int, text: str, size: int = 16, weight: int = 500, color: str = "#16213a") -> str:
+def svg_text(x: int, y: int, text: str, size: int = 16, weight: int = 500, color: str = "#f4f8ef") -> str:
     return (
         f'<text x="{x}" y="{y}" font-size="{size}" font-weight="{weight}" '
         f'fill="{color}">{html.escape(text)}</text>'
@@ -496,7 +496,7 @@ def write_svg(taxonomy: dict[str, Any]) -> None:
     margin = 58
     card_w = 515
     card_h = 220
-    colors = {"direct": "#1f6c9f", "proxy": "#2e7775", "diagnostic": "#956400"}
+    colors = {"direct": "#a7f078", "proxy": "#7ae5c3", "diagnostic": "#d8f4a5"}
     cards = []
 
     for idx, (code, info) in enumerate(taxonomy["directions"].items()):
@@ -526,10 +526,10 @@ def write_svg(taxonomy: dict[str, Any]) -> None:
         cards.append(
             "\n".join(
                 [
-                    f'<rect x="{x}" y="{y}" width="{card_w}" height="{card_h}" rx="8" fill="#ffffff" stroke="#d9e1ea"/>',
+                    f'<rect x="{x}" y="{y}" width="{card_w}" height="{card_h}" rx="8" fill="#050905" stroke="#a7f078" stroke-opacity="0.24"/>',
                     svg_text(x + 24, y + 42, f"{code}. {info['name']}", 21, 700),
-                    svg_text(x + 24, y + 75, info["current_status"], 15, 700, "#566273"),
-                    svg_text(x + 24, y + 108, f"Tasks: {task_labels}", 14, 500, "#30394a"),
+                    svg_text(x + 24, y + 75, info["current_status"], 15, 700, "#a7f078"),
+                    svg_text(x + 24, y + 108, f"Tasks: {task_labels}", 14, 500, "#dce8d7"),
                     *segments,
                     svg_text(x + 24, y + 174, f"Direct {counts['direct']}", 14, 700, colors["direct"]),
                     svg_text(x + 150, y + 174, f"Proxy {counts['proxy']}", 14, 700, colors["proxy"]),
@@ -548,18 +548,19 @@ def write_svg(taxonomy: dict[str, Any]) -> None:
         legend.extend(
             [
                 f'<rect x="{lx}" y="622" width="16" height="16" rx="4" fill="{colors[key]}"/>',
-                svg_text(lx + 24, 636, label, 14, 600, "#30394a"),
+                svg_text(lx + 24, 636, label, 14, 600, "#dce8d7"),
             ]
         )
         lx += 200
 
     svg = f"""<svg xmlns="http://www.w3.org/2000/svg" width="{width}" height="{height}" viewBox="0 0 {width} {height}" role="img" aria-label="Xperience-10M task coverage across four research directions">
-  <rect width="100%" height="100%" fill="#f7f9fb"/>
+  <rect width="100%" height="100%" fill="#020502"/>
+  <rect x="24" y="24" width="1132" height="652" rx="20" fill="#050905" stroke="#a7f078" stroke-opacity="0.24"/>
   {svg_text(margin, 64, "Xperience-10M 12-Task Suite: Four Research Directions", 30, 800)}
-  {svg_text(margin, 96, "One public sample episode, two baseline families, explicit direct/proxy/diagnostic coverage.", 16, 500, "#566273")}
+  {svg_text(margin, 96, "One public sample episode, two baseline families, explicit direct/proxy/diagnostic coverage.", 16, 500, "#a5afa2")}
   {"".join(cards)}
   {"".join(legend)}
-  {svg_text(margin, 670, "Generated from results/episode_task_suite/summary_report.json and scripts/research_direction_taxonomy.py", 13, 500, "#6d7787")}
+  {svg_text(margin, 670, "Generated from results/episode_task_suite/summary_report.json and scripts/research_direction_taxonomy.py", 13, 500, "#a5afa2")}
 </svg>
 """
     (CHARTS / "research_direction_coverage.svg").write_text(svg, encoding="utf-8")