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Paper Citation Record · LEDGER

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2505.24727.

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

pith.paper-citation-record.v1
2505.24727 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

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measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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External citation measurements

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Outbound references

Observation 9d17956e-2f2d-49d0-bbc2-be2c9cd670a3 · outbound

This paper cites IEEE Transactions on information theory 52(2), 489–509 (2006).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery IEEE Transactions on information theory 52(2), 489–509 (2006)

Reference 1

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This paper cites IEEE signal processing magazine 25(2), 21–30 (2008).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery IEEE signal processing magazine 25(2), 21–30 (2008)

Reference 2

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Observation 2e2dda47-f104-4f71-a332-f1bfffe0195a · outbound

This paper cites IEEE Transactions on Signal Processing (2008).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery IEEE Transactions on Signal Processing (2008)

Reference 3

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Unresolved cited work

Reference 4

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Observation b28b884d-7c0b-4b97-9d78-5669dc50c730 · outbound

This paper cites IEEE Transactions on signal processing 59(9), 4053–4085 (2011).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery IEEE Transactions on signal processing 59(9), 4053–4085 (2011)

Reference 5

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This paper cites arXiv preprint (2009).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery arXiv preprint (2009)

Reference 6

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Observation 88ed730c-fe51-48e4-928b-064225fb34a8 · outbound

This paper cites In: European Symposium on Security and Privacy (2020) 31.

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery In: European Symposium on Security and Privacy (2020) 31

Reference 7

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Observation bb7f3cbc-a7c5-4a18-a8f8-3d235da5cc51 · outbound

This paper cites Scandinavian Journal of Statistics (2022).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Scandinavian Journal of Statistics (2022)

Reference 8

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Observation 3c3906df-18e9-4324-98c8-3ed5401f983e · outbound

This paper cites IEEE Transactions on Signal and Information Processing over Networks (2016).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery IEEE Transactions on Signal and Information Processing over Networks (2016)

Reference 9

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Observation 036ee739-f12a-41b5-a2a1-b42a62c4a9c8 · outbound

This paper cites IEEE Transactions on Computational Imaging (2022).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery IEEE Transactions on Computational Imaging (2022)

Reference 10

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Observation 51d3214b-5d19-4e62-9513-02e45c2b70a4 · outbound

This paper cites Annals of Statistics (2016).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Annals of Statistics (2016)

Reference 11

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Observation 97660300-239f-402f-afb9-e08d6ab73954 · outbound

This paper cites In: International Conference on Machine Learning (2016).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery In: International Conference on Machine Learning (2016)

Reference 12

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Unresolved cited work

Reference 13

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Observation 4047af5a-5e66-4f37-b336-620482e3b44e · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology (2021).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Journal of the Royal Statistical Society Series B: Statistical Methodology (2021)

Reference 14

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Observation d408e520-08e5-46b6-9ac8-3add0b385ccf · outbound

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Unresolved cited work

Reference 15

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Observation e698fe17-3743-49ee-84d9-95daf1ad040b · outbound

This paper cites arXiv preprint (2015).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery arXiv preprint (2015)

Reference 16

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Observation d5445c44-10e8-4e78-9c2b-86f4cce75b48 · outbound

This paper cites In: IEEE International Conference on Acoustics, Speech, and Signal Processing (2024).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery In: IEEE International Conference on Acoustics, Speech, and Signal Processing (2024)

Reference 17

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Observation 3da19467-93c0-4b72-92b3-2640569b61f2 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology 58(1), 267–288 (1996).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Journal of the Royal Statistical Society Series B: Statistical Methodology 58(1), 267–288 (1996)

Reference 18

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Observation f9917fec-e306-4bcb-a9a3-7a5cf0baacea · outbound

This paper cites Journal of the American Statistical Association (2019).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Journal of the American Statistical Association (2019)

Reference 19

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Unresolved cited work

Reference 20

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Unresolved cited work

Reference 21

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This paper cites The Annals of Statistics 43(5), 2055–2085 (2015) https://doi.org/10.1214/ 32 15-AOS1337.

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery The Annals of Statistics 43(5), 2055–2085 (2015) https://doi.org/10.1214/ 32 15-AOS1337

Reference 22

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This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80(3), 551–577 (2018) https://doi.

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80(3), 551–577 (2018) https://doi

Reference 23

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This paper cites Journal of the Royal statistical society: series B (Methodological) 57(1), 289–300 (1995).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Journal of the Royal statistical society: series B (Methodological) 57(1), 289–300 (1995)

Reference 24

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This paper cites Wiley Interdisciplinary Reviews: Computa- tional Statistics 1(1), 93–100 (2009).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Wiley Interdisciplinary Reviews: Computa- tional Statistics 1(1), 93–100 (2009)

Reference 25

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This paper cites PhysioNet (2023).

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery PhysioNet (2023)

Reference 26

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery https://ssd.jpl.nasa.gov/ sbdb query.cgi

Reference 27

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery In: Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011) (2011)

Reference 28

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This paper cites IEEE Access 13, 35750–35779 (2025) https://doi.org/10.1109/ACCESS.2025.3543475.

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery IEEE Access 13, 35750–35779 (2025) https://doi.org/10.1109/ACCESS.2025.3543475

Reference 29

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery UCI Machine Learning Repository

Reference 30

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery https://api.nasa.gov/

Reference 31

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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery UCI Machine Learning Repository

Reference 32

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This paper cites In: Chapelle, O., Chang, Y., Liu, T.-Y.

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery In: Chapelle, O., Chang, Y., Liu, T.-Y

Reference 33

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This paper cites Journal of the American Statistical Association 106(494), 594–607 (2011) 33.

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery Journal of the American Statistical Association 106(494), 594–607 (2011) 33

Reference 34

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This paper cites The Annals of Statistics 35(6), 2313–2351 (2007) 34.

Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery The Annals of Statistics 35(6), 2313–2351 (2007) 34

Reference 35

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