Paper Citation Record · LEDGER

Using superpixels for interpretable feature reduction in large 2D diffraction datasets

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.13979.

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pith.paper-citation-record.v1
2607.13979 v1

Coverage vector

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

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External citation measurements

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Outbound references

Observation b0cad011-54b0-442b-8b84-ae272239dc02 · outbound

This paper cites Barry and Williams, David B.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Barry and Williams, David B

Reference 1

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This paper cites Microscopy and Microanalysis , year = 2019, month = may, volume = 25, number = 3, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Microscopy and Microanalysis , year = 2019, month = may, volume = 25, number = 3, pages =

Reference 2

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets Unresolved cited work

Reference 3

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This paper cites , title =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets , title =

Reference 4

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Observation 4c2ecad2-1d03-483f-be4e-317407d805d3 · outbound

This paper cites , title =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets , title =

Reference 5

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Observation 95753bb0-e93f-4316-a04a-0642ca65afa7 · outbound

This paper cites and Purohit, Prafull and Chamberlain, Darol and Nguyen, Kayla X.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Purohit, Prafull and Chamberlain, Darol and Nguyen, Kayla X

Reference 6

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Observation 2d6cf535-df91-415d-b426-df7d565b749f · outbound

This paper cites and Eikenberry, E.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Eikenberry, E

Reference 7

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This paper cites Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , series =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment , series =

Reference 8

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Observation 1926533e-bca0-4d36-bfde-4c7c8cc30392 · outbound

This paper cites Small , year = 2018, volume = 14, number = 46, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Small , year = 2018, volume = 14, number = 46, pages =

Reference 9

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This paper cites Nature Reviews Physics , year = 2021, month = dec, volume = 3, number = 12, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Nature Reviews Physics , year = 2021, month = dec, volume = 3, number = 12, pages =

Reference 10

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets , title =

Reference 11

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Observation 843e9de1-3fb1-4db7-b9a4-b07c781a1fc7 · outbound

This paper cites and Huttenlocher, Daniel P.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Huttenlocher, Daniel P

Reference 12

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year = 2012, month = nov, volume = 34, number = 11, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets IEEE Transactions on Pattern Analysis and Machine Intelligence , year = 2012, month = nov, volume = 34, number = 11, pages =

Reference 13

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This paper cites and Werbrouck, Andreas and Datta, Amit K.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Werbrouck, Andreas and Datta, Amit K

Reference 14

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Observation 849d82a9-83a1-44cf-bfaf-f22b6007a1f4 · outbound

This paper cites Journal of Machine Learning Research , year = 2011, volume = 12, number = 85, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Journal of Machine Learning Research , year = 2011, volume = 12, number = 85, pages =

Reference 15

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Observation efbb3542-a118-441e-8536-c8aebe122bbe · outbound

This paper cites and Lindenstrauss, Joram , title =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Lindenstrauss, Joram , title =

Reference 16

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This paper cites Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD'96) , year = 1996, month = aug, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD'96) , year = 1996, month = aug, pages =

Reference 17

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Observation 109c8bfb-2619-4fa7-ab3c-83cdcf65b96a · outbound

This paper cites Fast 4D-STEM-based phase mapping for amorphous and mixed materials.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Fast 4D-STEM-based phase mapping for amorphous and mixed materials

Reference 18

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Observation 75000c24-4719-4527-950b-e0ca7deb9e4b · outbound

This paper cites Strain-driven stabilization of a room-temperature chiral multiferroic with coupled ferroaxial and ferroelectric order.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Strain-driven stabilization of a room-temperature chiral multiferroic with coupled ferroaxial and ferroelectric order

Reference 19

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This paper cites Benjamin and Mendible, Ariana and Wihlborn, Sophie and Kutz, J.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Benjamin and Mendible, Ariana and Wihlborn, Sophie and Kutz, J

Reference 20

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This paper cites and Pekin, Thomas C.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Pekin, Thomas C

Reference 21

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This paper cites and Bedford, Nicholas M.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Bedford, Nicholas M

Reference 22

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This paper cites and Bedford, Nicholas M.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Bedford, Nicholas M

Reference 23

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets Unresolved cited work

Reference 24

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Observation 6246b1f8-62bf-4f8e-91f8-f28bc9913b71 · outbound

This paper cites Macromolecules , year = 2006, month = feb, volume = 39, number = 6, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Macromolecules , year = 2006, month = feb, volume = 39, number = 6, pages =

Reference 25

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This paper cites Cell , year = 2014, month = nov, volume = 159, number = 5, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Cell , year = 2014, month = nov, volume = 159, number = 5, pages =

Reference 26

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets Unresolved cited work

Reference 27

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets , title =

Reference 28

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This paper cites Journal of Synchrotron Radiation , year = 2024, month = jun, volume = 31, number = 4, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Journal of Synchrotron Radiation , year = 2024, month = jun, volume = 31, number = 4, pages =

Reference 29

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This paper cites and Ivashko, Oleh and Igoa Salda.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Ivashko, Oleh and Igoa Salda

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This paper cites Journal of Synchrotron Radiation , year = 2021, month = jan, volume = 28, number = 1, pages =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Journal of Synchrotron Radiation , year = 2021, month = jan, volume = 28, number = 1, pages =

Reference 31

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets and Franz, Hermann , title =

Reference 32

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets Journal of Synchrotron Radiation , year = 2023, month = jul, volume = 30, number = 5, pages =

Reference 34

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This paper cites Powder Diffraction , year = 2014, month = dec, volume = 30, number =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Powder Diffraction , year = 2014, month = dec, volume = 30, number =

Reference 35

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets Unresolved cited work

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Using superpixels for interpretable feature reduction in large 2D diffraction datasets Journal of Synchrotron Radiation , year = 2022, month = jan, volume = 29, number = 1, pages =

Reference 37

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This paper cites Microscopy and Microanalysis , volume =.

Using superpixels for interpretable feature reduction in large 2D diffraction datasets Microscopy and Microanalysis , volume =

Reference 38

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Pith citing papers

No inbound Pith citation observations are available.