Paper Citation Record · LEDGER

A k-nearest neighbors approach to the design of radar detectors

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.00870.

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

pith.paper-citation-record.v1
1908.00870 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:36:31.704549Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy20
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6dfc4c55-6d98-4df4-85d6-66d2867ed076 · outbound

This paper cites An Adaptive Detection Algorithm,.

A k-nearest neighbors approach to the design of radar detectors An Adaptive Detection Algorithm,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.948509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3df4c904-670c-4780-8d8d-f933dd1ae9d5 · outbound

This paper cites Performance of an Adaptive Detection Algorithm; Rejection of Unwanted Signals,.

A k-nearest neighbors approach to the design of radar detectors Performance of an Adaptive Detection Algorithm; Rejection of Unwanted Signals,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.939529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8fe450a7-bb40-439c-929a-e70a64a01d05 · outbound

This paper cites A CFAR Adap- tive Matched Filter Detector,.

A k-nearest neighbors approach to the design of radar detectors A CFAR Adap- tive Matched Filter Detector,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.930750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 47879d7f-2087-4ac7-a66c-f34381d1ff3a · outbound

This paper cites Asymptotically Optimum Radar Detection in Compound Gaussian Noise,.

A k-nearest neighbors approach to the design of radar detectors Asymptotically Optimum Radar Detection in Compound Gaussian Noise,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.921113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7aa35733-e46e-4b86-89e0-1cf0b8a75928 · outbound

This paper cites The CFAR adaptive subspace detector is a scale- invariant GLRT,.

A k-nearest neighbors approach to the design of radar detectors The CFAR adaptive subspace detector is a scale- invariant GLRT,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.912045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5b890c1-64af-4d25-abfc-04c46691e8f3 · outbound

This paper cites Adaptive Beamformer Orthogonal Rejec- tion Test,.

A k-nearest neighbors approach to the design of radar detectors Adaptive Beamformer Orthogonal Rejec- tion Test,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.902203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b181ab4d-0b17-4bbd-852f-9f367dcea1a7 · outbound

This paper cites Spatial Adaptive Subspace Detection in OTH Radar,.

A k-nearest neighbors approach to the design of radar detectors Spatial Adaptive Subspace Detection in OTH Radar,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.890305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f6da628b-814c-4d45-ba5c-d5eebea5ab05 · outbound

This paper cites An ABORT-Like Detector With Im- proved Mismatched Signals Rejection Capabilities,.

A k-nearest neighbors approach to the design of radar detectors An ABORT-Like Detector With Im- proved Mismatched Signals Rejection Capabilities,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.879008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 191c4b18-708d-42f8-8dc0-e5b34b0c9aae · outbound

This paper cites A Tunable W-ABORT-like Detector with Im- proved Detection vs Rejection Capabilities Trade-Oﬀ,.

A k-nearest neighbors approach to the design of radar detectors A Tunable W-ABORT-like Detector with Im- proved Detection vs Rejection Capabilities Trade-Oﬀ,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.869030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db521bcd-f1a7-4604-8f33-e1a3e0916d09 · outbound

This paper cites Gener- alized likelihood ratio test for detection of Gaussian rank-one signals in Gaussian noise with unknown statistics,.

A k-nearest neighbors approach to the design of radar detectors Gener- alized likelihood ratio test for detection of Gaussian rank-one signals in Gaussian noise with unknown statistics,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.860176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca51c47d-a366-4db8-a81e-e5993deb9ac6 · outbound

This paper cites Low signal-to-noise ratio radar target detection using Lin- ear Support Vector Machines (L-SVM),.

A k-nearest neighbors approach to the design of radar detectors Low signal-to-noise ratio radar target detection using Lin- ear Support Vector Machines (L-SVM),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.850488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3dec029e-2c55-4b8b-972b-24b3b7148dca · outbound

This paper cites Intelligent CFAR Detector Based on Sup- port Vector Machine,.

A k-nearest neighbors approach to the design of radar detectors Intelligent CFAR Detector Based on Sup- port Vector Machine,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.839951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85aef287-4bfe-4449-86d4-c61aa1530fea · outbound

This paper cites Machine learning techniques for cooperative spectrum sensing in cognitive radio networks,.

A k-nearest neighbors approach to the design of radar detectors Machine learning techniques for cooperative spectrum sensing in cognitive radio networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.828244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6870698e-8879-4766-b337-2180a00999d0 · outbound

This paper cites Mobile col- laborative spectrum sensing for heterogeneous networks: A Bayesian machine learning approach,.

A k-nearest neighbors approach to the design of radar detectors Mobile col- laborative spectrum sensing for heterogeneous networks: A Bayesian machine learning approach,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.817308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2cf2bedc-8b41-40cc-8d41-c25da77b4e42 · outbound

This paper cites Spectrum sensing by higher-order SVM-based detection.

A k-nearest neighbors approach to the design of radar detectors Spectrum sensing by higher-order SVM-based detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.806802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd33937c-041f-4528-ae97-04560e347db4 · outbound

This paper cites Radar detection in K-distributed clutter plus thermal noise based on KNN methods,.

A k-nearest neighbors approach to the design of radar detectors Radar detection in K-distributed clutter plus thermal noise based on KNN methods,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.795587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d1712a9b-128c-4b76-ac27-f486b1360802 · outbound

This paper cites Deep radar detectors,.

A k-nearest neighbors approach to the design of radar detectors Deep radar detectors,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.784477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea0421cd-03ff-4dd7-ab5f-08f04afae3ba · outbound

This paper cites Deep learning-based object classiﬁcation on automotive radar spectra,.

A k-nearest neighbors approach to the design of radar detectors Deep learning-based object classiﬁcation on automotive radar spectra,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.774404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 317342bc-71e1-4645-9abe-2abc173146c1 · outbound

This paper cites A neural net- work approach for waveform generation and selection with multi-mission radar,.

A k-nearest neighbors approach to the design of radar detectors A neural net- work approach for waveform generation and selection with multi-mission radar,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.750605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36acf1fc-b773-4943-9857-a18ac7224fd9 · outbound

This paper cites Advanced Radar Detection Schemes Under Mismatched Signal Models,.

A k-nearest neighbors approach to the design of radar detectors Advanced Radar Detection Schemes Under Mismatched Signal Models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:36:31.734871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.