Paper Citation Record · LEDGER

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary

As of 5 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2604.24434.

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

pith.paper-citation-record.v1
2604.24434 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T01:23:31.359611Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

43 of 43 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb07e9ec-4aab-495f-9102-5fb0e5502652 · outbound

This paper cites Millimeter wave mobile communications for 5G cellular: It will work!.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Millimeter wave mobile communications for 5G cellular: It will work!

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.647558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 111bff84-ad44-468a-821a-50131d170447 · outbound

This paper cites Compressive radar imaging.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Compressive radar imaging

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.650963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b0eead4-5465-428b-a20c-af17a796be2d · outbound

This paper cites Non-terrestrial networks in the 6G era: Challenges and opportunities.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Non-terrestrial networks in the 6G era: Challenges and opportunities

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.632057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74018eaa-1165-40ef-b1e4-30a570771212 · outbound

This paper cites Wideband spectrum sensing with sub-Nyquist sampling in cognitive radios.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Wideband spectrum sensing with sub-Nyquist sampling in cognitive radios

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.657964Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 29740cae-c9d7-41d3-8af1-f46820e85780 · outbound

This paper cites Analog-to-digital converter survey and analy- sis.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Analog-to-digital converter survey and analy- sis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.614268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 67396060-8e91-4f08-b609-cb5de1133cd0 · outbound

This paper cites Sub-Nyquist sampling: Bridging theory and practice.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Sub-Nyquist sampling: Bridging theory and practice

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.617991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 53fa96b1-d9ec-434c-b287-3a9b194c45d9 · outbound

This paper cites Compressed sensing.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Compressed sensing

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.625382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30035f9f-26f5-4f5c-a635-423ea9ad2587 · outbound

This paper cites Theoretical results on sparse represen- tations of multiple-measurement vectors.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Theoretical results on sparse represen- tations of multiple-measurement vectors

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.610955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 98bfb874-a565-441a-a9cb-f7018d40df1e · outbound

This paper cites Compressive wideband power spectrum estimation.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Compressive wideband power spectrum estimation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.607587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4037a5fc-a0b3-4cff-9e7c-2d829e19f11c · outbound

This paper cites From theory to practice: Sub- Nyquist sampling of sparse wideband analog signals.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary From theory to practice: Sub- Nyquist sampling of sparse wideband analog signals

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.603947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 89aab866-8b98-4065-acc3-f51e716601af · outbound

This paper cites Cooperative wide- band spectrum sensing based on Sub-Nyquist sparse Fast Fourier Transform.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Cooperative wide- band spectrum sensing based on Sub-Nyquist sparse Fast Fourier Transform

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.600133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8469634b-e181-4a74-b07b-faf4aa4062d4 · outbound

This paper cites Blind multiband signal recon- struction: Compressed sensing for analog signals.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Blind multiband signal recon- struction: Compressed sensing for analog signals

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.585547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 442438c9-2b47-45fa-b969-f394a1eafb6c · outbound

This paper cites Optimal Sub-Nyquist nonuniform sampling and reconstruction for multiband signals.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Optimal Sub-Nyquist nonuniform sampling and reconstruction for multiband signals

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.582125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 240ad7bb-b5ee-40ae-a68b-9867d3c68eae · outbound

This paper cites Beyond Nyquist: Eﬀicient sampling of sparse bandlimited signals.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Beyond Nyquist: Eﬀicient sampling of sparse bandlimited signals

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.588802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c4ae8fd9-ab6d-4d7e-b65d-ec5cbedbbb46 · outbound

This paper cites Wide- band sparse signal acquisition with dual-rate time-interleaved undersampling hardware and multicoset signal reconstruction algorithms.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Wide- band sparse signal acquisition with dual-rate time-interleaved undersampling hardware and multicoset signal reconstruction algorithms

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.592552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9baee3dc-7941-492a-8b7e-7db996a2981a · outbound

This paper cites Xampling: Signal acquisition and processing in union of subspaces.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Xampling: Signal acquisition and processing in union of subspaces

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.578038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bd8c0ad0-6461-441f-b84d-63c711d74eb4 · outbound

This paper cites Theory and design of a quadrature analog-to- information converter for energy-eﬀicient wideband spectrum sensing.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Theory and design of a quadrature analog-to- information converter for energy-eﬀicient wideband spectrum sensing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.596385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e5a85bf3-e3ae-46f4-9f46-73c047c69490 · outbound

This paper cites Adaptive compressed spectrum sensing for multiband signals.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Adaptive compressed spectrum sensing for multiband signals

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.621616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a3e775f-12ac-471b-be7a-9f4e19e7d857 · outbound

This paper cites Approaching sub- Nyquist boundary: Optimized compressed spectrum sensing based on multicoset sampler for multiband signal.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Approaching sub- Nyquist boundary: Optimized compressed spectrum sensing based on multicoset sampler for multiband signal

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.571531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b1fa4ee-1f5b-4e9d-923b-cc4527140d6b · outbound

This paper cites Intentional aliasing method to improve sub-Nyquist sampling system.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Intentional aliasing method to improve sub-Nyquist sampling system

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.628837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7de9a00c-b5bc-467d-a7eb-b8b597d0bb39 · outbound

This paper cites Compressed sensing based multi-rate sub-Nyquist sampling system.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Compressed sensing based multi-rate sub-Nyquist sampling system

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.564685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20a6a959-85bf-4225-a17e-b3eb07cfa7f7 · outbound

This paper cites A novel fast two-stage method for wideband spectrum sensing.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary A novel fast two-stage method for wideband spectrum sensing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.568018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6b3329c7-cef4-4449-a399-2b193674f5a0 · outbound

This paper cites Sub-Nyquist sampling for power spectrum sensing in cognitive radios: A unified approach.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Sub-Nyquist sampling for power spectrum sensing in cognitive radios: A unified approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.635580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1edd1ea6-fbae-4afb-876c-10c32d9a468e · outbound

This paper cites Sub-Nyquist cyclostationary detection for cognitive ra- dio.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Sub-Nyquist cyclostationary detection for cognitive ra- dio

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.550010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eb0ff1d0-7028-49a6-a610-c8220823787e · outbound

This paper cites Sub-Nyquist spectrum sensing of sparse wideband signals using low-density measurement matrices.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Sub-Nyquist spectrum sensing of sparse wideband signals using low-density measurement matrices

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.553780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a43032af-2257-4b5a-a686-a605440bbf99 · outbound

This paper cites Fast compressed power spectrum estimation: Toward a practical solution for wideband spectrum sensing.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Fast compressed power spectrum estimation: Toward a practical solution for wideband spectrum sensing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.542267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 889d2c50-b261-40b3-9b59-587549fe1290 · outbound

This paper cites Sparsity order estimation and its application in compressive spectrum sensing for cognitive radios.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Sparsity order estimation and its application in compressive spectrum sensing for cognitive radios

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.545971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 4e630330-6a27-42ff-be3f-349ccde9d1b8 · outbound

This paper cites Revisiting model order selection: A sub-Nyquist sampling blind spectrum sensing scheme.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Revisiting model order selection: A sub-Nyquist sampling blind spectrum sensing scheme

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.644132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b345a121-fdd1-492b-bf49-9590e7b1ad44 · outbound

This paper cites Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.639429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 669685f0-811f-47b0-96dd-5b1aa676d468 · outbound

This paper cites Compressive MUSIC: Revisiting the link between compressive sensing and array signal processing.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Compressive MUSIC: Revisiting the link between compressive sensing and array signal processing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.557293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5960435d-8e6a-49cf-b4bf-4bfc21c9b404 · outbound

This paper cites Joint sparse recovery using signal space matching pursuit.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Joint sparse recovery using signal space matching pursuit

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.535279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bea5244b-6079-42dd-8a50-e917c2d165f1 · outbound

This paper cites Recovery of sparse signals using multiple orthogonal least squares.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Recovery of sparse signals using multiple orthogonal least squares

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.538668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7113fc3a-d7f9-4a82-b3bc-b27304ff8210 · outbound

This paper cites Robust recovery of signals from a structured union of subspaces.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Robust recovery of signals from a structured union of subspaces

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.574676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3dd50b33-471f-4c9d-95fa-3b0fc124f857 · outbound

This paper cites A two stage gener- alized block orthogonal matching pursuit (TSGBOMP) algo- rithm.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary A two stage gener- alized block orthogonal matching pursuit (TSGBOMP) algo- rithm

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.519765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 433c01ac-490c-45bb-bd2f-3ee2c44d881f · outbound

This paper cites Block-sparse signals: Uncertainty relations and eﬀicient recovery.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Block-sparse signals: Uncertainty relations and eﬀicient recovery

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.523518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d87000ad-3dc1-415a-b603-d1f8d88fae13 · outbound

This paper cites Model selection and estimation in regression with grouped variables.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Model selection and estimation in regression with grouped variables

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.531860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7ac58e84-c04a-43d7-8821-316aba6a6bee · outbound

This paper cites Extension of SBL algorithms for the recovery of block sparse signals with intra-block correlation.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Extension of SBL algorithms for the recovery of block sparse signals with intra-block correlation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.508797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8cb63c12-5d0d-43ca-922a-11c7cf2132e2 · outbound

This paper cites Decoding by linear programming.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Decoding by linear programming

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.512365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d2998a0b-fa27-415b-acb0-f9382de47a8a · outbound

This paper cites Sub-Nyquist sampling for power spectrum sensing in cognitive radios: A unified approach.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Sub-Nyquist sampling for power spectrum sensing in cognitive radios: A unified approach

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.527520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cf3e7585-55e1-49fc-8536-f1eba0e4ab61 · outbound

This paper cites Subspace pursuit for compressive sensing signal reconstruction.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Subspace pursuit for compressive sensing signal reconstruction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.515711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8913ceb-4072-458b-8a4c-f979f0b9a40f · outbound

This paper cites Improved analysis for subspace pursuit algorithm in terms of restricted isometry constant.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Improved analysis for subspace pursuit algorithm in terms of restricted isometry constant

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.561247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ca5908a4-a63a-4ef0-841b-f466bd3139d0 · outbound

This paper cites Matching pursuit with time- frequency dictionaries.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Matching pursuit with time- frequency dictionaries

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:23:18.660990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e413323f-cca5-4b81-8cd3-63b401dfd742 · outbound

This paper cites an unresolved cited work.

Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-27T00:23:18.654558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

No inbound Pith citation observations are available.