torchgeo
diff --git a/‎README.md‎
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diff --git a/‎app/code-tabs.tsx‎
Lines changed: 3 additions & 3 deletions b/‎app/code-tabs.tsx‎
Lines changed: 3 additions & 3 deletions
diff --git a/‎app/layout.tsx‎
Lines changed: 7 additions & 4 deletions b/‎app/layout.tsx‎
Lines changed: 7 additions & 4 deletions
@@ -26,3 +26,19 @@ make check
 ```bash
 bun run start
 ```
+
+## Refresh public research data
+
+The site checks in snapshots of papers citing TorchGeo and public repositories
+that depend on it. Refresh both before a data update:
+
+```bash
+S2_API_TOKEN=... python3 scripts/fetch_citations.py
+python3 scripts/fetch_dependents.py
+```
+
+The citation collector combines Semantic Scholar and OpenAlex, then reuses
+existing affiliation enrichment for unchanged records. The dependents collector
+requires an authenticated GitHub CLI (`gh auth status`). Both commands write to
+`public/data/`; review the diffs before publishing because live indexes can add
+or remove records.
@@ -141,8 +141,8 @@ const SAMPLES: Sample[] = [
     title: "Building-footprint segmentation on Inria.",
     desc: (
       <>
-        Pixel-wise binary segmentation on 0.3 m aerial imagery. A U-Net with a
-        SeCo-pretrained ResNet-50 encoder reaches strong IoU in fewer than 30
+        Pixel-wise binary segmentation on 0.3 m aerial imagery. This example
+        optimizes a U-Net with a SeCo-pretrained ResNet-50 encoder for 30
         epochs.
       </>
     ),
@@ -642,7 +642,7 @@ export function CodeTabs() {
               {active.file}
               <span className="ext">.py</span>
             </span>
-            <span className="code-card__pill">runs as-is</span>
+            <span className="code-card__pill">complete example</span>
           </div>
           <div className="code-card__body">
             <CodeBody code={active.code} />
 
@@ -1,13 +1,14 @@
 import type { Metadata, Viewport } from "next";
-import { Inter_Tight, JetBrains_Mono } from "next/font/google";
+import { JetBrains_Mono, Source_Serif_4 } from "next/font/google";
 import "./globals.css";
+import "./research.css";
 
 const SITE_URL = "https://torchgeo.org";
 const SITE_TITLE = "TorchGeo · Geospatial deep learning for PyTorch";
 const SITE_DESCRIPTION =
   "TorchGeo is a PyTorch domain library for satellite and aerial imagery — datasets, samplers, transforms, and pretrained models for geospatial machine learning.";
 
-const interTight = Inter_Tight({
+const sourceSerif = Source_Serif_4({
   subsets: ["latin"],
   variable: "--font-body",
   weight: ["400", "500", "600", "700"],
@@ -38,7 +39,9 @@ export const metadata: Metadata = {
     "Sentinel-2",
     "multispectral",
   ],
-  authors: [{ name: "The TorchGeo Authors", url: "https://github.com/torchgeo" }],
+  authors: [
+    { name: "The TorchGeo Authors", url: "https://github.com/torchgeo" },
+  ],
   creator: "The TorchGeo Authors",
   publisher: "The TorchGeo Organization",
   alternates: {
@@ -138,7 +141,7 @@ export default function RootLayout({
 }>) {
   return (
     <html lang="en">
-      <body className={`${interTight.variable} ${jetbrainsMono.variable}`}>
+      <body className={`${sourceSerif.variable} ${jetbrainsMono.variable}`}>
         {children}
         <script
           type="application/ld+json"