Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:54:31.404508Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:54:31.404508Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a87af15c-e2ee-4251-9903-4520687c7e66 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Robust uncertainty principles: exact signal reconstruction from highly incomplete freque ncy informa- tion,
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 013fe80e-6b3b-4555-b098-9641f6e206d7 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Compressed sensing,
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6743ddce-be4c-4ad1-890a-cbc8a89e8d27 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Com pressed Sensing MRI,
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 578d7476-b2b9-4595-996a-1700da2c03cf · outbound
Greedy Algorithms for Hybrid Compressed Sensing Compressive Video Sensi ng: Algorithms, architectures, and applications,
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9be9f6e4-ca6f-427c-90e5-1ebc429ad6d0 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Sparsi ty and Compressed Sensing in Radar Imaging,
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6d581628-1e36-49c5-85e9-c6a45cb56b3a · outbound
Greedy Algorithms for Hybrid Compressed Sensing Applica- tion of Compressive Sensing in Cognitive Radio Communicati ons: A Survey,
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0bd1460a-08ab-4306-b467-12216973071c · outbound
Greedy Algorithms for Hybrid Compressed Sensing Unresolved cited work
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9b01b84a-70b0-44db-891e-491f324dfa70 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Foucart and H
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 88b36cd7-4c24-462f-9123-5a0c33984dab · outbound
Greedy Algorithms for Hybrid Compressed Sensing 1-Bit compressive se nsing,
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91daa766-62ab-437f-8790-5ad5c1612eb0 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 68b35beb-2964-41ee-8a00-c00d70202859 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Unresolved cited work
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a15ab7b-4c11-4d26-bbb4-7df1ac7458a6 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Stable signal re covery from incomplete and inaccurate measurements,
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f7cfa821-ea0b-4f0b-9aa2-d63eadd23bec · outbound
Greedy Algorithms for Hybrid Compressed Sensing The Dantzig selector: Statistical estimation when p is much larger than n,
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3f0edae5-f4a8-49a8-be06-ac59d1a5f75d · outbound
Greedy Algorithms for Hybrid Compressed Sensing Accelerate d Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints,
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 528f28bc-708f-4a19-80d3-eb8a1593b0c6 · outbound
Greedy Algorithms for Hybrid Compressed Sensing A fast Iterative Shrinkage-Th resholding Algorithm with application to wavelet-based image deblurr ing
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e0b6605e-f1e8-4f91-b8b2-aedca88f8deb · outbound
Greedy Algorithms for Hybrid Compressed Sensing Message-pas sing algorithms for compressed sensing,
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3f75902b-57a1-4ef7-8709-4fb4b1d2494b · outbound
Greedy Algorithms for Hybrid Compressed Sensing Gradient descent with sparsi fication: an iterative algorithm for sparse recovery with restricted isometry property
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 85739a62-5fc1-48b6-8e60-74a78e735b29 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Iteratively reweighted al gorithms for compressive sensing,
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a051f6ac-c442-4177-8682-45c4db84196b · outbound
Greedy Algorithms for Hybrid Compressed Sensing Bayesian Compressive Sensi ng,
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e3e6956a-7e28-440f-955f-34e08d9efa3b · outbound
Greedy Algorithms for Hybrid Compressed Sensing Signal Recovery From Rand om Measurements Via Orthogonal Matching Pursuit,
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 92fe0d08-ee69-4920-88a0-0413b7d25feb · outbound
Greedy Algorithms for Hybrid Compressed Sensing Gradient Pursuits,
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f6b5c3a9-83e5-44d0-aad5-f2832edaf638 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Iterative Thresholdin g for Sparse Approximations,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5e8faa9-e16a-4fb5-8ddb-96355f02cc7d · outbound
Greedy Algorithms for Hybrid Compressed Sensing Subspace Pursuit for Compres sive Sensing Signal Reconstruction,
Reference 23
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 73e9372c-ac09-466c-b22a-ecbddcc7e9de · outbound
Greedy Algorithms for Hybrid Compressed Sensing CoSaMP: Iterative signal reco very from incomplete and inaccurate samples,
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f64a1ada-0f1e-496c-b180-36946cfd533d · outbound
Greedy Algorithms for Hybrid Compressed Sensing Uniform Uncertainty Prin ciple and Signal Recovery via Regularized Orthogonal Matching Pursu it,
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 401b7a2b-032d-4215-a70b-85c244bd8997 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Block-Spar se Signals: Uncertainty Relations and Efficient Recovery,
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e25e670e-a670-49b2-b702-8f5d8174518d · outbound
Greedy Algorithms for Hybrid Compressed Sensing Sparse S olution of Un- derdetermined Systems of Linear Equations by Stagewise Ort hogonal Matching Pursuit,
Reference 27
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 86ec58ee-1e18-40f5-ab04-a2c4a4918482 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Generalized Orthogonal M atching Pursuit,
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6dcbbd6d-5d81-4ab7-9280-3c6e4cf6f117 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Multipath Matching Pursu it,
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1f59c746-0e02-4058-a8e9-7638949aca7a · outbound
Greedy Algorithms for Hybrid Compressed Sensing A Systematic Rev iew of Compressive Sensing: Concepts, Implementations and Appli cations,
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f400d95b-3a2b-4325-8012-8fe4cf838161 · outbound
Greedy Algorithms for Hybrid Compressed Sensing A Review of Sparse Recovery Algorithms,
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4bcefa90-4364-48b1-8ffb-f4b18f85f6f2 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e604568d-4de0-48a3-bdd3-569cf3bd2474 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Robust 1-bit Compressive Sensing Us- ing Adaptive Outlier Pursuit,
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation de8cf822-153d-4c54-ac57-1979bdb7e2a7 · outbound
Greedy Algorithms for Hybrid Compressed Sensing A robust RFPI-bas ed 1-bit compressive sensing reconstruction algorithm,
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ded81764-ff51-49f2-8307-037259941bc6 · outbound
Greedy Algorithms for Hybrid Compressed Sensing One -Bit Measurements With Adaptive Thresholds,
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6ccb608f-eab1-41b0-a260-baa9e80d24c9 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Robust 1-bit Compressed Sens ing and Sparse Logistic Regression: A Convex Programming Approach ,
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6da37520-05a8-47c6-900b-94e025217d94 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of S parse V ectors,
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d25e0b84-b2bc-4a2b-8f38-fccd2beadd62 · outbound
Greedy Algorithms for Hybrid Compressed Sensing One-Bit Compressed Sensing b y Linear Programming,
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 950ffc00-1da1-44fa-ad49-c051bbbea414 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Efficient Algorithms for Rob ust One-bit Compressive Sensing,
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d3b60fb8-1e78-4c4d-a026-1ccc2f3f2ea9 · outbound
Greedy Algorithms for Hybrid Compressed Sensing One-bit Compressed Sensing wi th the k-Support Norm,
Reference 40
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ec8d7981-a2f2-489a-a7ed-43000a532fd9 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Ex- ponential Decay of Reconstruction Error From Binary Measur ements of Sparse Signals,
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0b6f4e21-f626-422e-a7cc-fde3611fe129 · outbound
Greedy Algorithms for Hybrid Compressed Sensing A one-bit reweighte d iterative algorithm for sparse signal recovery,
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation df293d34-6fba-4f34-8c35-bea7292bfea4 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Robust One-Bit Bayes ian Compressed Sensing with Sign-Flip Errors,
Reference 43
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0056ee7d-453c-4e47-87e0-20b196db5ac6 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Greedy sparse signal reconstruction from sign mea- surements,
Reference 44
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b54ec657-9f57-4738-976f-fb65fb421656 · outbound
Greedy Algorithms for Hybrid Compressed Sensing One-Bit Compressed Sensing b y Greedy Algorithms,
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation faed68fd-906e-4e25-b7be-60d9e47c3083 · outbound
Greedy Algorithms for Hybrid Compressed Sensing O ver- exposure Correction by Mixed One-Bit Compressive Sensing f or C- Arm CT,
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b227c195-8a42-4564-84ee-10241a33dbc8 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Wadsworth and J
Reference 47
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f116f791-11b0-416b-9dd8-8459f624278d · outbound
Greedy Algorithms for Hybrid Compressed Sensing Decoding by linear programming ,
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2e02a276-155e-4ac5-bba8-6bb564040ad3 · outbound
Greedy Algorithms for Hybrid Compressed Sensing The restricted isometry property and it s implications for compressed sensing,
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b907e12b-5b7f-421a-b166-b1e9c70e65ae · outbound
Greedy Algorithms for Hybrid Compressed Sensing Stability and Instance Optimality fo r Gaussian Measurements in Compressed Sensing,
Reference 50
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1c335a39-419b-4aea-b0d8-8b30daef2f41 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Improved Approxima tion Algo- rithms for Maximum Cut and Satisfiability Problems Using Sem idefinite Programming,
Reference 51
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 968cee4c-131b-4669-8e37-5ba02b6d558d · outbound
Greedy Algorithms for Hybrid Compressed Sensing Dimension Reduction by Rando m Hyperplane Tessellations,
Reference 52
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 30ab2aa1-75a0-4b73-847f-7c92229fbcd9 · outbound
Greedy Algorithms for Hybrid Compressed Sensing Available: https://doi.org/10.1007/s10 208-008-9031-3
Reference 2009
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.