add bmadx reference

Author: jp-ga

tutorial.ipynb

@@ -372,6 +372,7 @@
     "### Papers\n",
     "\n",
     "- 2022 first paper on Cheetah developments at IPAC'22: [Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications](https://accelconf.web.cern.ch/ipac2022/doi/JACoW-IPAC2022-WEPOMS036.html)\n",
+    "- 2023 paper on Bmad-X differentiable simulations at IPAC'23: [Towards Fully Differentiable Accelerator Modeling](https://accelconf.web.cern.ch/ipac2023/doi/jacow-ipac2023-wepa065/)\n",
     "- 2024 main Cheetah paper in PRAB: [Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations](https://doi.org/10.1103/PhysRevAccelBeams.27.054601)\n",
     "- 2024 paper on advancements in differentiable simulations at LINAC2024: [Advancements in Backwards Differentiable Beam Dynamics Simulations for Accelerator Design, Model Calibration, and Machine Learning](https://meow.elettra.eu/71/doi/jacow-linac2024-thpb068/index.html)\n"
    ]

tutorial.slides.html

@@ -7821,6 +7821,7 @@ <h3 id="Cheetah-in-numbers">Cheetah in numbers<a class="anchor-link" href="#Chee
 </ul>
 <h3 id="Papers">Papers<a class="anchor-link" href="#Papers">¶</a></h3><ul>
 <li>2022 first paper on Cheetah developments at IPAC'22: <a href="https://accelconf.web.cern.ch/ipac2022/doi/JACoW-IPAC2022-WEPOMS036.html">Accelerating Linear Beam Dynamics Simulations for Machine Learning Applications</a></li>
+<li>2023 paper on Bmad-X differentiable simulations at IPAC'23: <a href="https://accelconf.web.cern.ch/ipac2023/doi/jacow-ipac2023-wepa065/">Towards Fully Differentiable Accelerator Modeling</a></li>
 <li>2024 main Cheetah paper in PRAB: <a href="https://doi.org/10.1103/PhysRevAccelBeams.27.054601">Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations</a></li>
 <li>2024 paper on advancements in differentiable simulations at LINAC2024: <a href="https://meow.elettra.eu/71/doi/jacow-linac2024-thpb068/index.html">Advancements in Backwards Differentiable Beam Dynamics Simulations for Accelerator Design, Model Calibration, and Machine Learning</a></li>
 </ul>