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README.md

@@ -26,6 +26,10 @@ datasets:
 
 **Pre-RL checkpoint — rejection fine-tuned on expert trajectories from CodeScout-14B.**
 
+<p align="center">
+  <img src="codescout_overview.png" alt="CodeScout Overview" width="100%">
+</p>
+
 CodeScout-1.7B-RFT is part of the **CodeScout** family of open-source RL-trained code search agents.
 CodeScout models achieve state-of-the-art repository-level code localization using *nothing more than a standard Unix terminal* — no static analysis, no repository graphs, no language-specific tooling.
 
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 | **SWE-Bench Lite** — Func F1 | 27.07 | 39.87 | **44.43** |
 
 
+<p align="center">
+  <img src="f1_vs_params_file.png" alt="File-level F1 vs Model Size" width="48%">
+  <img src="f1_vs_params_function.png" alt="Function-level F1 vs Model Size" width="48%">
+</p>
+
+<p align="center"><em>Code localization performance on SWE-Bench Verified. CodeScout (⭐) achieves superior or competitive results over larger open-source LLMs and narrows the gap with closed-source frontier models.</em></p>
+
 ## Training
 
 CodeScout-1.7B-RFT is the intermediate checkpoint produced by rejection fine-tuning (RFT) `Qwen3-1.7B` on expert trajectories from CodeScout-14B, before the final RL stage.