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Paper Citation Record · LEDGER

Greedy Algorithms for Hybrid Compressed Sensing

As of 16 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:1908.06359.

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

pith.paper-citation-record.v1
1908.06359 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:54:31.404508Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

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

53 of 53 outbound references displayed

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  • verified fuzzy45
  • unresolved4
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a87af15c-e2ee-4251-9903-4520687c7e66 · outbound

This paper cites Robust uncertainty principles: exact signal reconstruction from highly incomplete freque ncy informa- tion,.

Greedy Algorithms for Hybrid Compressed Sensing Robust uncertainty principles: exact signal reconstruction from highly incomplete freque ncy informa- tion,

Reference 1

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Observation 013fe80e-6b3b-4555-b098-9641f6e206d7 · outbound

This paper cites Compressed sensing,.

Greedy Algorithms for Hybrid Compressed Sensing Compressed sensing,

Reference 2

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6743ddce-be4c-4ad1-890a-cbc8a89e8d27 · outbound

This paper cites Com pressed Sensing MRI,.

Greedy Algorithms for Hybrid Compressed Sensing Com pressed Sensing MRI,

Reference 3

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Source-reported events for the cited work

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Observation 578d7476-b2b9-4595-996a-1700da2c03cf · outbound

This paper cites Compressive Video Sensi ng: Algorithms, architectures, and applications,.

Greedy Algorithms for Hybrid Compressed Sensing Compressive Video Sensi ng: Algorithms, architectures, and applications,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9be9f6e4-ca6f-427c-90e5-1ebc429ad6d0 · outbound

This paper cites Sparsi ty and Compressed Sensing in Radar Imaging,.

Greedy Algorithms for Hybrid Compressed Sensing Sparsi ty and Compressed Sensing in Radar Imaging,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6d581628-1e36-49c5-85e9-c6a45cb56b3a · outbound

This paper cites Applica- tion of Compressive Sensing in Cognitive Radio Communicati ons: A Survey,.

Greedy Algorithms for Hybrid Compressed Sensing Applica- tion of Compressive Sensing in Cognitive Radio Communicati ons: A Survey,

Reference 6

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Source-reported events for the cited work

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Observation 0bd1460a-08ab-4306-b467-12216973071c · outbound

This paper cites an unresolved cited work.

Greedy Algorithms for Hybrid Compressed Sensing Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9b01b84a-70b0-44db-891e-491f324dfa70 · outbound

This paper cites Foucart and H.

Greedy Algorithms for Hybrid Compressed Sensing Foucart and H

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 88b36cd7-4c24-462f-9123-5a0c33984dab · outbound

This paper cites 1-Bit compressive se nsing,.

Greedy Algorithms for Hybrid Compressed Sensing 1-Bit compressive se nsing,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 91daa766-62ab-437f-8790-5ad5c1612eb0 · outbound

This paper cites On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal R ecovery Fromb-Bit Quantized Linear Measurements,.

Greedy Algorithms for Hybrid Compressed Sensing On the Trade-Off Between Bit Depth and Number of Samples for a Basic Approach to Structured Signal R ecovery Fromb-Bit Quantized Linear Measurements,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 68b35beb-2964-41ee-8a00-c00d70202859 · outbound

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Greedy Algorithms for Hybrid Compressed Sensing Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6a15ab7b-4c11-4d26-bbb4-7df1ac7458a6 · outbound

This paper cites Stable signal re covery from incomplete and inaccurate measurements,.

Greedy Algorithms for Hybrid Compressed Sensing Stable signal re covery from incomplete and inaccurate measurements,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f7cfa821-ea0b-4f0b-9aa2-d63eadd23bec · outbound

This paper cites The Dantzig selector: Statistical estimation when p is much larger than n,.

Greedy Algorithms for Hybrid Compressed Sensing The Dantzig selector: Statistical estimation when p is much larger than n,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3f0edae5-f4a8-49a8-be06-ac59d1a5f75d · outbound

This paper cites Accelerate d Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints,.

Greedy Algorithms for Hybrid Compressed Sensing Accelerate d Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 528f28bc-708f-4a19-80d3-eb8a1593b0c6 · outbound

This paper cites A fast Iterative Shrinkage-Th resholding Algorithm with application to wavelet-based image deblurr ing.

Greedy Algorithms for Hybrid Compressed Sensing A fast Iterative Shrinkage-Th resholding Algorithm with application to wavelet-based image deblurr ing

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e0b6605e-f1e8-4f91-b8b2-aedca88f8deb · outbound

This paper cites Message-pas sing algorithms for compressed sensing,.

Greedy Algorithms for Hybrid Compressed Sensing Message-pas sing algorithms for compressed sensing,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 3f75902b-57a1-4ef7-8709-4fb4b1d2494b · outbound

This paper cites Gradient descent with sparsi fication: an iterative algorithm for sparse recovery with restricted isometry property.

Greedy Algorithms for Hybrid Compressed Sensing Gradient descent with sparsi fication: an iterative algorithm for sparse recovery with restricted isometry property

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 85739a62-5fc1-48b6-8e60-74a78e735b29 · outbound

This paper cites Iteratively reweighted al gorithms for compressive sensing,.

Greedy Algorithms for Hybrid Compressed Sensing Iteratively reweighted al gorithms for compressive sensing,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a051f6ac-c442-4177-8682-45c4db84196b · outbound

This paper cites Bayesian Compressive Sensi ng,.

Greedy Algorithms for Hybrid Compressed Sensing Bayesian Compressive Sensi ng,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e3e6956a-7e28-440f-955f-34e08d9efa3b · outbound

This paper cites Signal Recovery From Rand om Measurements Via Orthogonal Matching Pursuit,.

Greedy Algorithms for Hybrid Compressed Sensing Signal Recovery From Rand om Measurements Via Orthogonal Matching Pursuit,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 92fe0d08-ee69-4920-88a0-0413b7d25feb · outbound

This paper cites Gradient Pursuits,.

Greedy Algorithms for Hybrid Compressed Sensing Gradient Pursuits,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f6b5c3a9-83e5-44d0-aad5-f2832edaf638 · outbound

This paper cites Iterative Thresholdin g for Sparse Approximations,.

Greedy Algorithms for Hybrid Compressed Sensing Iterative Thresholdin g for Sparse Approximations,

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5e8faa9-e16a-4fb5-8ddb-96355f02cc7d · outbound

This paper cites Subspace Pursuit for Compres sive Sensing Signal Reconstruction,.

Greedy Algorithms for Hybrid Compressed Sensing Subspace Pursuit for Compres sive Sensing Signal Reconstruction,

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 73e9372c-ac09-466c-b22a-ecbddcc7e9de · outbound

This paper cites CoSaMP: Iterative signal reco very from incomplete and inaccurate samples,.

Greedy Algorithms for Hybrid Compressed Sensing CoSaMP: Iterative signal reco very from incomplete and inaccurate samples,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f64a1ada-0f1e-496c-b180-36946cfd533d · outbound

This paper cites Uniform Uncertainty Prin ciple and Signal Recovery via Regularized Orthogonal Matching Pursu it,.

Greedy Algorithms for Hybrid Compressed Sensing Uniform Uncertainty Prin ciple and Signal Recovery via Regularized Orthogonal Matching Pursu it,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 401b7a2b-032d-4215-a70b-85c244bd8997 · outbound

This paper cites Block-Spar se Signals: Uncertainty Relations and Efficient Recovery,.

Greedy Algorithms for Hybrid Compressed Sensing Block-Spar se Signals: Uncertainty Relations and Efficient Recovery,

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e25e670e-a670-49b2-b702-8f5d8174518d · outbound

This paper cites Sparse S olution of Un- derdetermined Systems of Linear Equations by Stagewise Ort hogonal Matching Pursuit,.

Greedy Algorithms for Hybrid Compressed Sensing Sparse S olution of Un- derdetermined Systems of Linear Equations by Stagewise Ort hogonal Matching Pursuit,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 86ec58ee-1e18-40f5-ab04-a2c4a4918482 · outbound

This paper cites Generalized Orthogonal M atching Pursuit,.

Greedy Algorithms for Hybrid Compressed Sensing Generalized Orthogonal M atching Pursuit,

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6dcbbd6d-5d81-4ab7-9280-3c6e4cf6f117 · outbound

This paper cites Multipath Matching Pursu it,.

Greedy Algorithms for Hybrid Compressed Sensing Multipath Matching Pursu it,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1f59c746-0e02-4058-a8e9-7638949aca7a · outbound

This paper cites A Systematic Rev iew of Compressive Sensing: Concepts, Implementations and Appli cations,.

Greedy Algorithms for Hybrid Compressed Sensing A Systematic Rev iew of Compressive Sensing: Concepts, Implementations and Appli cations,

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f400d95b-3a2b-4325-8012-8fe4cf838161 · outbound

This paper cites A Review of Sparse Recovery Algorithms,.

Greedy Algorithms for Hybrid Compressed Sensing A Review of Sparse Recovery Algorithms,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4bcefa90-4364-48b1-8ffb-f4b18f85f6f2 · outbound

This paper cites Trust, Bu t V erify: Fast and Accurate Signal Recovery From 1-Bit Compressive Me asure- ments,.

Greedy Algorithms for Hybrid Compressed Sensing Trust, Bu t V erify: Fast and Accurate Signal Recovery From 1-Bit Compressive Me asure- ments,

Reference 32

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raw_fallback, observed 2026-08-14T12:54:31.733525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation e604568d-4de0-48a3-bdd3-569cf3bd2474 · outbound

This paper cites Robust 1-bit Compressive Sensing Us- ing Adaptive Outlier Pursuit,.

Greedy Algorithms for Hybrid Compressed Sensing Robust 1-bit Compressive Sensing Us- ing Adaptive Outlier Pursuit,

Reference 33

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raw_fallback, observed 2026-08-14T12:54:31.723218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation de8cf822-153d-4c54-ac57-1979bdb7e2a7 · outbound

This paper cites A robust RFPI-bas ed 1-bit compressive sensing reconstruction algorithm,.

Greedy Algorithms for Hybrid Compressed Sensing A robust RFPI-bas ed 1-bit compressive sensing reconstruction algorithm,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation ded81764-ff51-49f2-8307-037259941bc6 · outbound

This paper cites One -Bit Measurements With Adaptive Thresholds,.

Greedy Algorithms for Hybrid Compressed Sensing One -Bit Measurements With Adaptive Thresholds,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.702796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.342610Z digest=sha256:d4e02021830097f34fd6018dad6bd6e1bbf57937f93e8d876915569260c7d120

Observation 6ccb608f-eab1-41b0-a260-baa9e80d24c9 · outbound

This paper cites Robust 1-bit Compressed Sens ing and Sparse Logistic Regression: A Convex Programming Approach ,.

Greedy Algorithms for Hybrid Compressed Sensing Robust 1-bit Compressed Sens ing and Sparse Logistic Regression: A Convex Programming Approach ,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.692130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.346194Z digest=sha256:d1b9e48934b23d4c9b3c1f1a2425e051e20f2cc4a97834be921d289417dbc32b

Observation 6da37520-05a8-47c6-900b-94e025217d94 · outbound

This paper cites Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of S parse V ectors,.

Greedy Algorithms for Hybrid Compressed Sensing Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of S parse V ectors,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.681578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.349740Z digest=sha256:c1ab502df28fd1414f7f234ea34b0212cb6fa62054e6cde0e0e43c114b5e110c

Observation d25e0b84-b2bc-4a2b-8f38-fccd2beadd62 · outbound

This paper cites One-Bit Compressed Sensing b y Linear Programming,.

Greedy Algorithms for Hybrid Compressed Sensing One-Bit Compressed Sensing b y Linear Programming,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.671214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.353170Z digest=sha256:c2687df37ed10a3c97e91fd735d537c0900931971a87cc95b548d2c37324c2cd

Observation 950ffc00-1da1-44fa-ad49-c051bbbea414 · outbound

This paper cites Efficient Algorithms for Rob ust One-bit Compressive Sensing,.

Greedy Algorithms for Hybrid Compressed Sensing Efficient Algorithms for Rob ust One-bit Compressive Sensing,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.660953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.356662Z digest=sha256:cb624509f849611383e876cddc4ebd953930296e35a15506580fedc82a42e38a

Observation d3b60fb8-1e78-4c4d-a026-1ccc2f3f2ea9 · outbound

This paper cites One-bit Compressed Sensing wi th the k-Support Norm,.

Greedy Algorithms for Hybrid Compressed Sensing One-bit Compressed Sensing wi th the k-Support Norm,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.650449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.360074Z digest=sha256:59d115e7ac3cb006978f899ed381d2a06238053982d05b6051000f03eda621ec

Observation ec8d7981-a2f2-489a-a7ed-43000a532fd9 · outbound

This paper cites Ex- ponential Decay of Reconstruction Error From Binary Measur ements of Sparse Signals,.

Greedy Algorithms for Hybrid Compressed Sensing Ex- ponential Decay of Reconstruction Error From Binary Measur ements of Sparse Signals,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.639498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.363551Z digest=sha256:7511956d9106cf31a198486738256ad93fa27527d097a19dc1defcb32fe94c16

Observation 0b6f4e21-f626-422e-a7cc-fde3611fe129 · outbound

This paper cites A one-bit reweighte d iterative algorithm for sparse signal recovery,.

Greedy Algorithms for Hybrid Compressed Sensing A one-bit reweighte d iterative algorithm for sparse signal recovery,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.628701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.367606Z digest=sha256:55d3b9fa36548b120f1ae85df80f0c96b5b35d780a2368a3e40e7208fe24dbc5

Observation df293d34-6fba-4f34-8c35-bea7292bfea4 · outbound

This paper cites Robust One-Bit Bayes ian Compressed Sensing with Sign-Flip Errors,.

Greedy Algorithms for Hybrid Compressed Sensing Robust One-Bit Bayes ian Compressed Sensing with Sign-Flip Errors,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.617904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.371319Z digest=sha256:949dc186e84eec9102843c79fd0c809cfd3ad2f9148e84e666070501cf3cb561

Observation 0056ee7d-453c-4e47-87e0-20b196db5ac6 · outbound

This paper cites Greedy sparse signal reconstruction from sign mea- surements,.

Greedy Algorithms for Hybrid Compressed Sensing Greedy sparse signal reconstruction from sign mea- surements,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.605660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.374854Z digest=sha256:c6846fdd584246046296000015e3bfac8548636b828431e0f8af5b5a5f47a2d4

Observation b54ec657-9f57-4738-976f-fb65fb421656 · outbound

This paper cites One-Bit Compressed Sensing b y Greedy Algorithms,.

Greedy Algorithms for Hybrid Compressed Sensing One-Bit Compressed Sensing b y Greedy Algorithms,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.593317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.378566Z digest=sha256:58dea84f2096571111e1b5b96f3f120ab88aa18c2d0e2ffb8ecd69b84ec9559f

Observation faed68fd-906e-4e25-b7be-60d9e47c3083 · outbound

This paper cites O ver- exposure Correction by Mixed One-Bit Compressive Sensing f or C- Arm CT,.

Greedy Algorithms for Hybrid Compressed Sensing O ver- exposure Correction by Mixed One-Bit Compressive Sensing f or C- Arm CT,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.580795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.382134Z digest=sha256:e5b38dc1213ca89cfb5aacd69f59e99aff37bb78da5d5ad47c0e5373aec0ad08

Observation b227c195-8a42-4564-84ee-10241a33dbc8 · outbound

This paper cites Wadsworth and J.

Greedy Algorithms for Hybrid Compressed Sensing Wadsworth and J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.568932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.385611Z digest=sha256:0335132c3b15be41e02ae7e0e6b08713287bb79ea4b9cda6e2d8c86688dc146b

Observation f116f791-11b0-416b-9dd8-8459f624278d · outbound

This paper cites Decoding by linear programming ,.

Greedy Algorithms for Hybrid Compressed Sensing Decoding by linear programming ,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.557786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.389038Z digest=sha256:b580675f7ea549785e471791666de466f27ac8f97f350d66dcaaef3e33b091a9

Observation 2e02a276-155e-4ac5-bba8-6bb564040ad3 · outbound

This paper cites The restricted isometry property and it s implications for compressed sensing,.

Greedy Algorithms for Hybrid Compressed Sensing The restricted isometry property and it s implications for compressed sensing,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:54:31.546521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.392924Z digest=sha256:0f94b6f213b697ff4cb9b9bd3c8a0d0a6b4152abf94989c122a9198fb569e1d1

Observation b907e12b-5b7f-421a-b166-b1e9c70e65ae · outbound

This paper cites Stability and Instance Optimality fo r Gaussian Measurements in Compressed Sensing,.

Greedy Algorithms for Hybrid Compressed Sensing Stability and Instance Optimality fo r Gaussian Measurements in Compressed Sensing,

Reference 50

Resolution
verified exact
doi, observed 2026-08-14T12:54:31.449325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.396610Z digest=sha256:fc68d2bfa013d609c12a1cf4964eaccb2ddcc2fb69d41d1b7bd8592999abc1eb

Observation 1c335a39-419b-4aea-b0d8-8b30daef2f41 · outbound

This paper cites Improved Approxima tion Algo- rithms for Maximum Cut and Satisfiability Problems Using Sem idefinite Programming,.

Greedy Algorithms for Hybrid Compressed Sensing Improved Approxima tion Algo- rithms for Maximum Cut and Satisfiability Problems Using Sem idefinite Programming,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-14T12:54:31.400741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:54:31.400741Z digest=sha256:0a89e5e23edd3b62c236445eb8d09e69533aff35ab72283f6bc3124a4c8a153b

Observation 968cee4c-131b-4669-8e37-5ba02b6d558d · outbound

This paper cites Dimension Reduction by Rando m Hyperplane Tessellations,.

Greedy Algorithms for Hybrid Compressed Sensing Dimension Reduction by Rando m Hyperplane Tessellations,

Reference 52

Resolution
verified exact
doi, observed 2026-08-14T12:54:31.437444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T12:54:31.404508Z digest=sha256:a2a3921b628996fe6eba64ee8b5e8cd7ba150b38b02e909c4ca5703e32757deb

Observation 30ab2aa1-75a0-4b73-847f-7c92229fbcd9 · outbound

This paper cites Available: https://doi.org/10.1007/s10 208-008-9031-3.

Greedy Algorithms for Hybrid Compressed Sensing Available: https://doi.org/10.1007/s10 208-008-9031-3

Reference 2009

Resolution
malformed identifier
no resolver link, observed 2026-08-14T12:54:31.306202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:54:31.306202Z digest=sha256:54b7632c9efbafc57c4fbf186d2201fc2d65998fc1b822dcee15e9c5e86efa8e

Pith citing papers

No inbound Pith citation observations are available.