Paper Citation Record · LEDGER

Neural parametric representations for thin-shell shape optimisation

As of 10 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2604.06612.

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pith.paper-citation-record.v1
2604.06612 v1

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measured 39 of 39 reference resolution

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Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 8dadaa4b-ec5c-49c1-baf8-23940151c9ce · outbound

This paper cites Hughes, J.

Neural parametric representations for thin-shell shape optimisation Hughes, J

Reference 1

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This paper cites Computer-Aided Design34, 137–148 (2002) https://doi.org/10.1016/S0010-4485(01)00061-6.

Neural parametric representations for thin-shell shape optimisation Computer-Aided Design34, 137–148 (2002) https://doi.org/10.1016/S0010-4485(01)00061-6

Reference 2

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This paper cites Computer Methods in Applied Mechanics and Engineering57, 67–89 (1986) https://doi.org/10.1016/0045-7825(86)90071-X.

Neural parametric representations for thin-shell shape optimisation Computer Methods in Applied Mechanics and Engineering57, 67–89 (1986) https://doi.org/10.1016/0045-7825(86)90071-X

Reference 3

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This paper cites Computer Methods in Applied Mechanics and Engineering44, 247–267 (1984) https://doi.org/10.1016/0045-7825(84)90132-4.

Neural parametric representations for thin-shell shape optimisation Computer Methods in Applied Mechanics and Engineering44, 247–267 (1984) https://doi.org/10.1016/0045-7825(84)90132-4

Reference 4

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This paper cites Computer Methods in Applied Mechanics and Engineering200, 985–996 (2011) https://doi.org/10.

Neural parametric representations for thin-shell shape optimisation Computer Methods in Applied Mechanics and Engineering200, 985–996 (2011) https://doi.org/10

Reference 5

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This paper cites Computer Methods in Applied Mechanics and Engineering268, 494–513 (2014) https: //doi.org/10.1016/j.cma.2013.10.015.

Neural parametric representations for thin-shell shape optimisation Computer Methods in Applied Mechanics and Engineering268, 494–513 (2014) https: //doi.org/10.1016/j.cma.2013.10.015

Reference 6

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This paper cites Structural and Multidisciplinary Optimization66, 245 (2023) https: //doi.org/10.1007/s00158-023-03684-9.

Neural parametric representations for thin-shell shape optimisation Structural and Multidisciplinary Optimization66, 245 (2023) https: //doi.org/10.1007/s00158-023-03684-9

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Neural parametric representations for thin-shell shape optimisation doi:10.1016/j.cma

Reference 8

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This paper cites Journal of Computational Physics297, 584–598 (2015) https: //doi.org/10.1016/j.jcp.2015.05.017.

Neural parametric representations for thin-shell shape optimisation Journal of Computational Physics297, 584–598 (2015) https: //doi.org/10.1016/j.jcp.2015.05.017

Reference 9

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This paper cites Computer-Aided Design95, 62–71 (2018) https://doi.org/10.1016/j.cad.2017.09.

Neural parametric representations for thin-shell shape optimisation Computer-Aided Design95, 62–71 (2018) https://doi.org/10.1016/j.cad.2017.09

Reference 10

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This paper cites Masset, R.

Neural parametric representations for thin-shell shape optimisation Masset, R

Reference 11

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This paper cites International Journal for Numerical Methods in Engineering74, 1519–1559 (2008) https: //doi.org/10.1002/nme.2219.

Neural parametric representations for thin-shell shape optimisation International Journal for Numerical Methods in Engineering74, 1519–1559 (2008) https: //doi.org/10.1002/nme.2219

Reference 12

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This paper cites In: 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2004).

Neural parametric representations for thin-shell shape optimisation In: 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (2004)

Reference 13

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This paper cites International Journal for Numerical Methods in Engineering123, 664–682 (2022) https://doi.org/10.1002/nme.6866.

Neural parametric representations for thin-shell shape optimisation International Journal for Numerical Methods in Engineering123, 664–682 (2022) https://doi.org/10.1002/nme.6866

Reference 14

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Observation 3676744f-0fe1-4ed3-b8ca-47df529651f5 · outbound

This paper cites In: Proceedings of IASS Annual Symposia (2022).

Neural parametric representations for thin-shell shape optimisation In: Proceedings of IASS Annual Symposia (2022)

Reference 15

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This paper cites Engineering with Computers40, 3495–3518 (2024) https://doi.org/10.1007/s00366-024-01947-7.

Neural parametric representations for thin-shell shape optimisation Engineering with Computers40, 3495–3518 (2024) https://doi.org/10.1007/s00366-024-01947-7

Reference 16

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This paper cites Journal of Computational Physics163, 489–528 (2000) https://doi.org/10.1006/jcph.2000.6581.

Neural parametric representations for thin-shell shape optimisation Journal of Computational Physics163, 489–528 (2000) https://doi.org/10.1006/jcph.2000.6581

Reference 17

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This paper cites Com- puter Methods in Applied Mechanics and Engineering192, 227–246 (2003) https://doi.org/10.1016/ S0045-7825(02)00559-5.

Neural parametric representations for thin-shell shape optimisation Com- puter Methods in Applied Mechanics and Engineering192, 227–246 (2003) https://doi.org/10.1016/ S0045-7825(02)00559-5

Reference 18

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This paper cites Structural and Multidisciplinary Optimization67, 151 (2024) https://doi.org/10.1007/s00158-024-03873-0.

Neural parametric representations for thin-shell shape optimisation Structural and Multidisciplinary Optimization67, 151 (2024) https://doi.org/10.1007/s00158-024-03873-0

Reference 19

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This paper cites Journal of Computational Physics194, 363–393 (2004) https://doi.org/10.1016/j.jcp.2003.09.

Neural parametric representations for thin-shell shape optimisation Journal of Computational Physics194, 363–393 (2004) https://doi.org/10.1016/j.jcp.2003.09

Reference 20

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Neural parametric representations for thin-shell shape optimisation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 21

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This paper cites Advances in Neural Information Processing Systems33, 21638–21652 (2020).

Neural parametric representations for thin-shell shape optimisation Advances in Neural Information Processing Systems33, 21638–21652 (2020)

Reference 22

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Neural parametric representations for thin-shell shape optimisation Advances in Neural Information Processing Systems33, 7462–7473 (2020)

Reference 23

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

Neural parametric representations for thin-shell shape optimisation In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 24

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This paper cites Computer Methods in Applied Mechanics and Engineering411, 116052 (2023) https: //doi.org/10.1016/j.cma.2023.116052.

Neural parametric representations for thin-shell shape optimisation Computer Methods in Applied Mechanics and Engineering411, 116052 (2023) https: //doi.org/10.1016/j.cma.2023.116052

Reference 25

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This paper cites Computer-Aided Design167, 103639 (2024) https://doi.org/ 10.1016/j.cad.2023.103639.

Neural parametric representations for thin-shell shape optimisation Computer-Aided Design167, 103639 (2024) https://doi.org/ 10.1016/j.cad.2023.103639

Reference 26

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This paper cites In: NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks (2019).

Neural parametric representations for thin-shell shape optimisation In: NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks (2019)

Reference 27

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This paper cites Structural and Multidisciplinary Optimization63, 1135–1149 (2021) https://doi.org/10.1007/s00158-020-02748-4 12.

Neural parametric representations for thin-shell shape optimisation Structural and Multidisciplinary Optimization63, 1135–1149 (2021) https://doi.org/10.1007/s00158-020-02748-4 12

Reference 28

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This paper cites Advances in Neural Information Processing Systems34, 10368–10381 (2021).

Neural parametric representations for thin-shell shape optimisation Advances in Neural Information Processing Systems34, 10368–10381 (2021)

Reference 29

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This paper cites Bendsøe and Ole Sigmund.

Neural parametric representations for thin-shell shape optimisation Bendsøe and Ole Sigmund

Reference 30

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Neural parametric representations for thin-shell shape optimisation Structural and Multidisciplinary Optimization68, 1–26 (2025) https://doi.org/10.1007/ s00158-025-04135-3

Reference 31

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Neural parametric representations for thin-shell shape optimisation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 32

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This paper cites Determination Press, San Francisco, US (2015).

Neural parametric representations for thin-shell shape optimisation Determination Press, San Francisco, US (2015)

Reference 33

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This paper cites The MIT Press, Cambridge, US (2016).

Neural parametric representations for thin-shell shape optimisation The MIT Press, Cambridge, US (2016)

Reference 34

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Neural parametric representations for thin-shell shape optimisation Springer, The Netherlands (2005)

Reference 35

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Neural parametric representations for thin-shell shape optimisation International Journal for Numerical Methods in Engineering47, 2039–2072 (2000) https:// doi.org/10.1002/(SICI)1097-0207(20000430)47:12⟨2039::AID-NME872⟩3.0.CO;2-1

Reference 36

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This paper cites https://github.com/stevengj/nlopt.

Neural parametric representations for thin-shell shape optimisation https://github.com/stevengj/nlopt

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T16:51:07.415621Z

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This paper cites In: Shell Structures, pp.

Neural parametric representations for thin-shell shape optimisation In: Shell Structures, pp

Reference 38

Resolution: verified exact; doi, observed 2026-05-10T18:40:43.683737Z

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This paper cites Computer Methods in Applied Mechanics and Engineering351, 928–950 (2019) https://doi.org/10.1016/j.cma.2019.03.046 13.

Neural parametric representations for thin-shell shape optimisation Computer Methods in Applied Mechanics and Engineering351, 928–950 (2019) https://doi.org/10.1016/j.cma.2019.03.046 13

Reference 39

Resolution: verified exact; doi, observed 2026-05-10T18:40:43.691285Z

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Pith citing papers

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