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Paper Citation Record · LEDGER

U-Net based particle localization in granular experiments: Accuracy limits and optimization

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2603.01753.

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pith.paper-citation-record.v1
2603.01753 v3

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measured 36 of 36 reference resolution

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Outbound references

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Unresolved cited work

Reference 1

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Unresolved cited work

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This paper cites EPL (Europhysics Letters)103, 64004 (2013) https://doi.org/10.1209/0295-5075/103/ 64004 11.

U-Net based particle localization in granular experiments: Accuracy limits and optimization EPL (Europhysics Letters)103, 64004 (2013) https://doi.org/10.1209/0295-5075/103/ 64004 11

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Unresolved cited work

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Unresolved cited work

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This paper cites Icarus 360, 114307 (2021) https://doi.org/10.1016/ j.icarus.2021.114307.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Icarus 360, 114307 (2021) https://doi.org/10.1016/ j.icarus.2021.114307

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This paper cites npj Micro- gravity8(1), 11 (2022) https://doi.org/10.

U-Net based particle localization in granular experiments: Accuracy limits and optimization npj Micro- gravity8(1), 11 (2022) https://doi.org/10

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This paper cites npj Micrograv- ity10, 36 (2024) https://doi.org/10.1038/ s41526-024-00369-5.

U-Net based particle localization in granular experiments: Accuracy limits and optimization npj Micrograv- ity10, 36 (2024) https://doi.org/10.1038/ s41526-024-00369-5

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This paper cites Communications Physics7, 425 (2024) https://doi.org/10.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Communications Physics7, 425 (2024) https://doi.org/10

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This paper cites Review of Scientific Instru- ments90(5), 054501 (2019) https://doi.org/ 10.1063/1.5085319.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Review of Scientific Instru- ments90(5), 054501 (2019) https://doi.org/ 10.1063/1.5085319

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Microgravity Science and Technology32, 897–906 (2020) https://doi.org/10.1007/ s12217-020-09800-4

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This paper cites Pro- ceedings of the National Academy of Sciences 115, 9026–9031 (2018) https://doi.org/10.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Pro- ceedings of the National Academy of Sciences 115, 9026–9031 (2018) https://doi.org/10

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This paper cites Applied Physics Reviews8(2021) https:// doi.org/10.1063/5.0034891.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Applied Physics Reviews8(2021) https:// doi.org/10.1063/5.0034891

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Nature Methods 18, 100–106 (2021) https://doi.org/10.1038/ s41592-020-01018-x

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This paper cites Journal of Innovative Optical Health Sciences15(2022) https://doi.org/10.1142/s1793545822500316.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Journal of Innovative Optical Health Sciences15(2022) https://doi.org/10.1142/s1793545822500316

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U-Net based particle localization in granular experiments: Accuracy limits and optimization In: The IEEE International Symposium on Biomed- ical Imaging Challenges (ISBIC) (2022)

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Jour- nal of Open Source Software10, 5986 (2025) https://doi.org/10.21105/joss.05986

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U-Net based particle localization in granular experiments: Accuracy limits and optimization In: Proceedings of the IEEE International Conference on Computer Vision, pp

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Sci- entific Reports14, 14281 (2024) https://doi

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U-Net based particle localization in granular experiments: Accuracy limits and optimization In: Medical Image Com- puting and Computer-Assisted Intervention– MICCAI 2015: 18th International Confer- ence, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Journal of Industrial and Management Opti- mization19, 5331–5352 (2023) https://doi

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This paper cites Granu- lar Matter24, 65 (2022) https://doi.org/10.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Granu- lar Matter24, 65 (2022) https://doi.org/10

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Optics Express28, 2987–2999 (2020) https://doi.org/10.1364/OE.379480

Reference 23

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Granular Mat- ter27, 62 (2025) https://doi.org/10.1007/ s10035-025-01542-7

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U-Net based particle localization in granular experiments: Accuracy limits and optimization ZARM Drop Tower Operation and Service Company, (2023)

Reference 25

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Leakage and the Reproducibility Crisis in ML-based Science

Reference 26

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This paper cites https://github.com/bnsreenu/ python for microscopists/blob/master/ 074-DefiningU-netinPythonusingKeras.py.

U-Net based particle localization in granular experiments: Accuracy limits and optimization https://github.com/bnsreenu/ python for microscopists/blob/master/ 074-DefiningU-netinPythonusingKeras.py

Reference 27

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This paper cites Science313, 504–507 (2006) https: //doi.org/10.1126/science.1127647.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Science313, 504–507 (2006) https: //doi.org/10.1126/science.1127647

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Focal Loss for Dense Object Detection

Reference 29

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U-Net based particle localization in granular experiments: Accuracy limits and optimization BMC Bioinformatics18, 529 (2017) https://doi

Reference 31

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U-Net based particle localization in granular experiments: Accuracy limits and optimization International Workshop on Image Processing: Real-time Edge and Motion Detection/Estimation, 12–21 (1979)

Reference 32

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U-Net based particle localization in granular experiments: Accuracy limits and optimization https://github.com/ HumanSignal/label-studio

Reference 33

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This paper cites Together with rounding by floor, this would with a 50% probability change the position of those particles coming from the ’snapping region’ to the next smaller integer.

U-Net based particle localization in granular experiments: Accuracy limits and optimization Together with rounding by floor, this would with a 50% probability change the position of those particles coming from the ’snapping region’ to the next smaller integer

Reference 34

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Observation a71ac1c6-1598-4ea2-865e-dffc818ed2c6 · outbound

This paper cites In: Proceedings of the Second Inter- national Conference on Knowledge Discovery and Data Mining (KDD-96), pp.

U-Net based particle localization in granular experiments: Accuracy limits and optimization In: Proceedings of the Second Inter- national Conference on Knowledge Discovery and Data Mining (KDD-96), pp

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Observation 09271402-8e2a-47be-b4ef-3368276257b1 · outbound

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U-Net based particle localization in granular experiments: Accuracy limits and optimization Unresolved cited work

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