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Update paper reference (#963)
* update Ref preprocessing * fix --------- Co-authored-by: LasNikas <[email protected]>
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docs/literate/src/tut_packing.jl

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# For particle interaction, we select a [smoothing kernel](@ref smoothing_kernel)
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# with a suitable smoothing length. Empirically, a factor of `0.8` times the
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# particle spacing gives good results [Neher2025](@cite).
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# particle spacing gives good results [Neher2026](@cite).
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smoothing_kernel = SchoenbergQuinticSplineKernel{2}()
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smoothing_length = 0.8 * particle_spacing
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plot!(geometry, seriestype=:path, color=:black, label=nothing, linewidth=2)
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# We can see that the particles now stay inside the geometry,
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# but their distribution near the surface can still be improved by adding boundary particles [Neher2025](@cite).
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# but their distribution near the surface can still be improved by adding boundary particles [Neher2026](@cite).
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# Therefore, we set up a dedicated boundary packing system
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# by setting `is_boundary = true`.
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# For convex geometries, it is useful to slightly compress the

docs/src/preprocessing/preprocessing.md

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```
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# [Particle Packing](@id particle_packing)
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To obtain a body-fitted and isotropic particle distribution, an initial configuration (see [Sampling of Geometries](@ref sampling_of_geometries)) is first generated. This configuration is then packed using a [`ParticlePackingSystem`](@ref) following the steps introduced in [Neher2025](@cite).
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To obtain a body-fitted and isotropic particle distribution, an initial configuration (see [Sampling of Geometries](@ref sampling_of_geometries)) is first generated. This configuration is then packed using a [`ParticlePackingSystem`](@ref) following the steps introduced in [Neher2026](@cite).
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For a hands-on tutorial with complete examples, see the particle packing tutorial.
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The preprocessing pipeline consists of the following steps:
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docs/src/refs.bib

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publisher = {{AIP} Publishing},
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}
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@Misc{Neher2025,
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author = {Neher, Niklas S. and Faulhaber, Erik and Berger, Sven and Wei{\ss}enfels, Christian and Gassner, Gregor J. and Schlottke-Lakemper, Michael},
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title = {Robust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation},
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month = jun,
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year = {2025},
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archiveprefix = {arXiv},
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eprint = {2506.12106},
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primaryclass = {math.NA},
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@Article{Neher2026,
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author = {Neher, Niklas S. and Faulhaber, Erik and Berger, Sven and Wei{\ss}enfels, Christian and Gassner, Gregor J. and Schlottke-Lakemper, Michael},
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journal = {Computer Physics Communications},
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title = {Robust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation},
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year = {2026},
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pages = {109898},
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volume = {318},
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doi = {10.1016/j.cpc.2025.109898}
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}
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@Article{OConnor2021,

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