To test the performance of ParallaxNet on XRD-CT data with parallax artefacts, we first use a simulated XRD-CT dataset with noiseless and zero-background XRD patterns of a Ni fcc structure (ICSD: 64989) . When testing the performance of algorithms designed to solve inverse problems, it's crucial to ensure the forward projector used to generate simulated data is different from the forward projector the algorithm employs to solve the inverse problem. This differentiation helps maintain the rigor and validity of the evaluation. Being conscious of this, we coded different forward models for testing our approach with the simulated XRD-CT data. Specifically, we used an A matrix (ray tracing) calculated from astra-toolbox as the forward projector to produce the simulated Ni XRD-CT dataset and a custom Radon using image rotation with bilinear interpolation as the forward projector for our ParallaxNet algorithm. This approach ensures a more unbiased assessment of ParallaxNet's capabilities.