Pith. sign in

Paper Citation Record · LEDGER

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning

As of 23 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.06732.

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

pith.paper-citation-record.v1
2606.06732 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:49:20.787309Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b5638241-7d0f-43a3-9be1-be9fcadf7d87 · outbound

This paper cites Reconfigurable adaptive array beamforming by antenna selection,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Reconfigurable adaptive array beamforming by antenna selection,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:5e018831e5de96a934567088a61392e86a3273fff01d20a37af038eb8a22a22c

Observation af5d7f77-a95d-463e-893d-b43d7f342d2d · outbound

This paper cites Sparse array beamforming design for wideband signal models,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse array beamforming design for wideband signal models,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:01036ac9c2ae6950d3f1ccb3bc4873138ddf3d05cf799eb9be74687c8acc77e5

Observation c8c1d832-1013-45b5-b61e-0f4edf544201 · outbound

This paper cites Learning sparse array capon beamformer design using deep learning approach,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Learning sparse array capon beamformer design using deep learning approach,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:54178f740f0ea5fc86300e12df8bccb91f8b8c11c0366bb5e10a05de992cd1a3

Observation 9b604555-424f-41f8-b84a-bd5475fb626d · outbound

This paper cites Analysis and design of optimum sparse array configurations for adaptive beamforming,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Analysis and design of optimum sparse array configurations for adaptive beamforming,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:eafbd8cb8128055b9a386abbd74b18b4d5d16b2e49053f7dc0b976a71834ed00

Observation 8a6550c8-e3dc-4daa-87e2-8b46eb1065fa · outbound

This paper cites Sparse array design for transmit beamforming,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse array design for transmit beamforming,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:28a573fd7912f83d09b39132ea7a612d85a68358d95e7bd093286479a31d9e89

Observation 264b7323-4ea8-45bc-8a22-5ed74b666e56 · outbound

This paper cites Sparse array design for maximizing the signal-to-interference-plus-noise-ratio by matrix completion,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse array design for maximizing the signal-to-interference-plus-noise-ratio by matrix completion,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:19033e99d06855548290a4d2e2fc19bfab86e35c058684d775417688e873e0f2

Observation 403b4445-a18f-435a-a784-b02fae2b1d2e · outbound

This paper cites Optimum sparse array beamforming for general rank signal models,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Optimum sparse array beamforming for general rank signal models,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:29d408a6c7173e9918e5c3cb1347643b77e4eca490d6db0691e53213ca0b7031

Observation 45a71edf-e19b-4395-a482-a6246bb446b4 · outbound

This paper cites Hybrid sparse array design for under-determined models,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Hybrid sparse array design for under-determined models,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:c880c687c742ca20d03803d973935e77afd79a3229361a86beae0bc4f315133f

Observation 92ea2410-6c65-402b-b7a6-8b27cd7886e9 · outbound

This paper cites Sparse array reconfigurability for source identification and angle estimation in cog- nitive sensing,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse array reconfigurability for source identification and angle estimation in cog- nitive sensing,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:f023ad5db05a5bd9c58ad368264ca9308e34e45293ac55e9c2f47414d311f424

Observation 3744dfd4-bb47-4fc8-910d-78ce1e629e43 · outbound

This paper cites Sensor selection via convex optimization,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sensor selection via convex optimization,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:9e7f8ac2081d1678d7f1232e8719333b7950113459a019074ec311b646f214b5

Observation b9dfcb01-3a09-4e73-a5ee-4c71b42917a2 · outbound

This paper cites Deep learning,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Deep learning,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:77ddcccc79f8dbab1c48248c753bc9ddf33757157d6ecf89bd0930d18e01f7d9

Observation 87158f38-00c0-46d9-8a5b-f9469827e76e · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Imagenet classification with deep convolutional neural networks,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:5e505ace8ac7b7855f1e28ee41f18193cd73b2b74e081e9de5b246b8fcc3ed38

Observation a5bef374-aa56-4564-835d-8e24aa652cdf · outbound

This paper cites Recent advances in deep learning for speech research at microsoft,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Recent advances in deep learning for speech research at microsoft,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:174051dc3a8676734f695e391602012522885f893b285be274bb018aa601e7d5

Observation 6e2406aa-46fb-4a18-9a50-d6fe185a47e9 · outbound

This paper cites Minimum-redundancy linear arrays,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Minimum-redundancy linear arrays,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:211fb427d6e10e67f03b989c28e912e8a40b13713c6dfaf06e14d476c8f40732

Observation d8a1d84d-2544-4c64-85db-50417b00d90c · outbound

This paper cites Fast doa estimation using coarray beamforming with model order estimation,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Fast doa estimation using coarray beamforming with model order estimation,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:0cf40f4249d7c90e6ba7eed24659ce9804b46186b3a43aeac4e7ab6190f62870

Observation 7e478295-7ca6-4fdf-b3c0-a11f5f775850 · outbound

This paper cites Nested arrays: A novel approach to array processing with enhanced degrees of freedom,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Nested arrays: A novel approach to array processing with enhanced degrees of freedom,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:fc2ea5f83dfa7cadd19824391ec11c1a2817878390ea5f5bdf18cf04be8bc965

Observation 823110e9-f032-4650-831c-84314dcddc8c · outbound

This paper cites Generalized coprime array configurations for direction-of-arrival estimation,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Generalized coprime array configurations for direction-of-arrival estimation,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:c489e17c5d49d61294930315175857ae654a64c7783f623b769b35aa958d1600

Observation 5a54730a-adab-4775-aee7-f4cd47267339 · outbound

This paper cites Sparse arrays and sampling for interference mitigation and DOA estimation in GNSS,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse arrays and sampling for interference mitigation and DOA estimation in GNSS,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:d2724f42cbf7de5eece2134b942103e2b220bb68c071c1fa189961773945c7a1

Observation 15d5ea7c-d835-4687-aec5-0a3d1915c351 · outbound

This paper cites Sparse symmetric linear arrays with low redundancy and a contiguous sum co-array,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse symmetric linear arrays with low redundancy and a contiguous sum co-array,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:1f64c90651d63d1289c6ab9d63fe8a36b5825357979d08fee906a0ee4427e849

Observation 4b304147-1575-4f84-b049-e9e18f5f5da0 · outbound

This paper cites Sparsity-enforcing sensor selection for DOA estimation,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparsity-enforcing sensor selection for DOA estimation,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:3c681485b19c49c41e9b875500cdfa85308558f2fcf267b9e970b787761b056a

Observation 1a431680-92b3-4285-aadd-05f77059da94 · outbound

This paper cites Sensor selection in distributed multiple-radar architectures for localization: A knapsack problem formulation,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sensor selection in distributed multiple-radar architectures for localization: A knapsack problem formulation,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:b71c7bec895b005f37fb5dea3d3c8a9285dee566d0ad38de119554cb000411a2

Observation 51102722-d2c5-4be0-93f1-c2b1609c4495 · outbound

This paper cites Phase-only reconfig- urable sparse array beamforming using deep learning,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Phase-only reconfig- urable sparse array beamforming using deep learning,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:70c77000f939dbe2fc955cacd488c5144e0593029bc9a419804ae3c422ab6fa2

Observation 144caab7-e243-413e-bfbe-082a9dc35ee6 · outbound

This paper cites Sparse array design for optimum beamforming using deep learning,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse array design for optimum beamforming using deep learning,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:765d672647245c241c76d3c98d4df35e8d4d28f4978456511ca012566f7e2e9c

Observation eb5a85e3-ed6e-4f66-80d4-0eefe86b2c5a · outbound

This paper cites Deep learning of the sparse array configurations in optimum beamforming,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Deep learning of the sparse array configurations in optimum beamforming,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:34b5b0c6d19b54735b4c818e4897973b27dc180adc78ffaec3e5d0675d2498ef

Observation 348c1c8e-26fa-4dc1-a50a-ffb7bc1af8cf · outbound

This paper cites Sparse array configuration analysis and deep learning classifications for beamfornming,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Sparse array configuration analysis and deep learning classifications for beamfornming,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:58f192f6466e3e2e8fd4381d348dab02781a0db9ae0c44b33cc4fec1363575e9

Observation 463544ca-f886-4b54-9a0a-c93fd696f7cb · outbound

This paper cites On the roles of sparse array configuration and weights in optimum beamforming,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning On the roles of sparse array configuration and weights in optimum beamforming,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:c9e7d70eb01b5bc87682dd355a3bef29244049ab887f877873b19bfa4fae4fd1

Observation a9548c71-bd81-4c11-892f-9e55ec66c18a · outbound

This paper cites an unresolved cited work.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Unresolved cited work

Reference 27

Resolution
verified exact
doi, observed 2026-06-27T23:51:24.797275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:f69cfaefb66c114bd88b3eac48ed2227be7753e3a8621d9f9b477b71a7bb2331

Observation 7e3fa721-b825-4e8a-8609-c97251ff93a1 · outbound

This paper cites Deep learning sparse array design considering binary switching and missing coarray lags,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Deep learning sparse array design considering binary switching and missing coarray lags,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:7388ad6d6dffd77eeabfc5c912d1906fee8efb767414936ffb41b094f183df74

Observation 399b62e2-a2a3-45fc-bf0c-f3d862da0514 · outbound

This paper cites Deep learning sparse array design using binary switching con- figurations,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Deep learning sparse array design using binary switching con- figurations,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:404eea7a5f798577f1acee619ebcfcf4bdca089528a39a386272ca731a738728

Observation 97e68e8b-81c1-409c-9dd3-048733d4997a · outbound

This paper cites Robust adaptive beamforming for general-rank signal models,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Robust adaptive beamforming for general-rank signal models,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:5dc661b08ee0e84806c2c1ac5c024c62c37795f5f7ee5b2f3092f669a4b90e79

Observation 8ee480ba-8dbc-4c07-9229-cfa6da64c524 · outbound

This paper cites Joint multicast beamforming and antenna selection,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Joint multicast beamforming and antenna selection,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:348ed9e31670722f746d510e969b0bb0ff3160b9abd1145c28a5b904c554c372

Observation 820f2a7c-5591-44f2-937e-bee3b63b4219 · outbound

This paper cites Deep residual learning for image recognition,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Deep residual learning for image recognition,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:3a7aa315703d197c1cf7945ec4746b42974efcd88c8d39ca6d92b5b512e7cfab

Observation a0685955-a586-49da-b70c-d3464330521c · outbound

This paper cites Adam: A method for stochastic optimization,.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Adam: A method for stochastic optimization,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-27T23:49:20.787309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:40ffd0304b79276ec83e39f8e231569f049972a051e9563aff55be420183cd61

Observation 11465f9f-8b43-4f14-97a7-b362591c9ae8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning Adam: A Method for Stochastic Optimization

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T15:27:06.065248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:748b5f144b23f35eb45ae20a9556bf786a7d9eac5b434183390c7db9d8008412

Observation 2ead9ce4-afbd-4cb7-8ee1-0607fda8a6c4 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-02T15:27:06.067754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T23:49:20.787309Z digest=sha256:03ea2c666e06f88a77d69c21abbbe43bde4f38df7c28fa6af8422098be3d02c7

Pith citing papers

No inbound Pith citation observations are available.