Update Readme.md

Author: LonelyGuy-SE1

Readme.md

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+<div align="center">
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 <pre>
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- ╚═════╝ ╚═╝╚══════╝╚═╝     ╚═╝ ╚═════╝
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+╚═╝  ╚═╝╚═╝  ╚═╝╚═╝ ╚════╝ ╚═╝╚═╝  ╚═══╝
 </pre>
-</p>
 
-<p align="center">
-  <img src="https://img.shields.io/badge/C%2B%2B-20-00599C?style=for-the-badge&logo=cplusplus&logoColor=white" />
-  <img src="https://img.shields.io/badge/Linux-GCC%20%7C%20Clang-fcc624?style=for-the-badge&logo=linux&logoColor=white" />
-  <img src="https://img.shields.io/badge/License-GPLv3-22c55e?style=for-the-badge" />
-  <img src="https://img.shields.io/badge/CI-GitHub%20Actions-2088ff?style=for-the-badge&logo=githubactions&logoColor=white" />
-  <img src="https://img.shields.io/badge/Docs-GitHub%20Pages-4a90d9?style=for-the-badge&logo=githubpages&logoColor=white" />
-</p>
+[![License](https://img.shields.io/badge/License-GPLv3-22c55e?style=for-the-badge)](https://github.com/LonelyGuy-SE1/Raijin-LOB/blob/main/LICENSE)
+[![Docs](https://img.shields.io/badge/Docs-Reference-4a90d9?style=for-the-badge&logo=githubpages&logoColor=white)](https://lonelyguy-se1.github.io/Raijin-LOB/)
+[![CI](https://img.shields.io/badge/CI-Passing-2088ff?style=for-the-badge&logo=githubactions&logoColor=white)](https://github.com/LonelyGuy-SE1/Raijin-LOB/actions)
+![C++20](https://img.shields.io/badge/C%2B%2B-20-00599C?style=for-the-badge&logo=cplusplus&logoColor=white)
+![Linux](https://img.shields.io/badge/Linux-GCC%20%7C%20Clang-fcc624?style=for-the-badge&logo=linux&logoColor=black)
+
+**Production-grade limit order book core feeding a JEPA world model for market microstructure.**
 
-<p align="center">
-  <strong>Production-grade limit order book core feeding a JEPA world model for market microstructure.</strong>
-</p>
+</div>
 
 ---
 
@@ -29,10 +28,6 @@ To reduce entanglement between macro-state and transient microstructure, the mod
 
 Rather than relying on direct autoregressive tick prediction, the architecture learns task-aligned latent transitions to support structured interventions, evaluating parameterized meta-orders in terms of impact response, fill probability, and adverse selection. To aggressively mitigate simulator-induced leakage, training and evaluation are strictly separated across out-of-distribution (OOD) agent policy classes and perturbed market regimes, with performance reported as statistically significant improvements over queue-reactive baselines.
 
-> [Technical documentation](https://lonelyguy-se1.github.io/Raijin-LOB/)
-
-> [Benchmarks and perf data](https://lonelyguy-se1.github.io/Raijin-LOB/benchmarks.html)
-
 ## Phase 1 Benchmark Results
 
 Linux CI, AMD EPYC 9V74, median of 3 runs, Release build with LTO.
@@ -66,4 +61,5 @@ Latency histograms (CPU cycles):
 
 ## License
 
-Licensed under the GNU General Public License v3.0. See [LICENSE](LICENSE) for details.
+Licensed under the [GNU General Public License v3.0](https://github.com/LonelyGuy-SE1/Raijin-LOB/blob/main/LICENSE).
+