Paper Citation Record · LEDGER

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data

As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.17873.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.17873 v1

Coverage vector

measured 36 of 36 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

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Outbound references

Observation 7dcb1b59-47a0-4496-ad09-1c1e400e56a9 · outbound

This paper cites Associations between long-term ozone exposure and small airways function in Chinese young adults: a longitudinal cohort study [J].

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Associations between long-term ozone exposure and small airways function in Chinese young adults: a longitudinal cohort study [J]

Reference 1

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This paper cites Avoidable mortality due to long-term exposure to PM2.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Avoidable mortality due to long-term exposure to PM2

Reference 2

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Unresolved cited work

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This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 6

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Reference 7

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This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

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This paper cites In: The Eleventh International Con- ference on Learning Representations, 2023.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: The Eleventh International Con- ference on Learning Representations, 2023

Reference 10

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35(12): 11106–11115.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35(12): 11106–11115

Reference 11

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Reference 12

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This paper cites Expert Syst.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Expert Syst

Reference 14

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This paper cites arXiv preprint arXiv:2101.04264 (2021).

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data arXiv preprint arXiv:2101.04264 (2021)

Reference 15

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, 2023, 37(12): 14329 - 14337.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI Conference on Artificial Intelligence, 2023, 37(12): 14329 - 14337

Reference 16

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This paper cites ACM Trans.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data ACM Trans

Reference 17

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This paper cites In: Proceedings of the AAAI conference on artificial intelligence, 2017, 31(1).

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI conference on artificial intelligence, 2017, 31(1)

Reference 18

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This paper cites Graph HyperNetworks for Neural Architecture Search.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Graph HyperNetworks for Neural Architecture Search

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 20

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining, 2020, pp

Reference 21

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the web conference 2020, 2020, pp

Reference 22

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Reference 23

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Spectral Networks and Locally Connected Networks on Graphs

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Semi-Supervised Classification with Graph Convolutional Networks

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the 30th Interna- tional Conference on Neural Information Processing Systems (NIPS’16), 2016, pp

Reference 26

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Biometrika, 37(1/2), 17 - 23 (1950)

Reference 27

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This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2018, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the IEEE conference on computer vision and pattern recognition, 2018, pp

Reference 28

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2019, pp.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2019, pp

Reference 29

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: IJCAI, 2018, pp

Reference 30

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Supervised sequence labelling with recurrent neural networks, 2012, pp

Reference 31

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 32

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining, 2021, pp

Reference 33

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This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38(14): 15715 - 15724.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, 38(14): 15715 - 15724

Reference 34

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This paper cites In: Proceedings of the AAAI conference on artificial intelligence, 2020, 34(01): 1234 - 1241.

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI conference on artificial intelligence, 2020, 34(01): 1234 - 1241

Reference 35

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Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data In: Proceedings of the AAAI conference on artificial intelligence, 2019, 33(01): 922 - 929

Reference 36

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This paper cites Mathematics, 10(9), 1599 (2022).

Compressed Learning for Nanosurface Deficiency Recognition Using Angle-resolved Scatterometry Data Mathematics, 10(9), 1599 (2022)

Reference 37

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Pith citing papers

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