Paper Citation Record · LEDGER

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2606.31473.

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

pith.paper-citation-record.v1
2606.31473 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T03:55:43.513087Z

measured 43 of 43 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

43 of 43 outbound references displayed

verified exact3
verified fuzzy36
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ee14630-e9e1-445b-8168-99f666936582 · outbound

This paper cites an unresolved cited work.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-07-07T01:03:06.634757Z

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 8639d83f-c765-4263-a332-81ccb9889cde · outbound

This paper cites an unresolved cited work.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-07-07T01:03:06.645845Z

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 1aa58ff4-f241-4527-8501-9273bc4f8490 · outbound

This paper cites MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets MIMO radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.531795Z

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 7443ae32-80ee-4248-854b-83eb0a5f007d · outbound

This paper cites Introduction to radar systems,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Introduction to radar systems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.542486Z

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 5bb844ef-d27a-4006-bd50-962349120e19 · outbound

This paper cites Spatial diversity 24- GHz FMCW radar with ground effect compensation for automotive applications,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Spatial diversity 24- GHz FMCW radar with ground effect compensation for automotive applications,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.539265Z

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 56135afb-8c21-4803-9e7f-94b91b25985b · outbound

This paper cites Radar technology encyclopedia, artech house,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Radar technology encyclopedia, artech house,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.639515Z

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 1e4d9f42-0c2e-4a41-81f0-5bfaf46098b3 · outbound

This paper cites Systems characteristics of automotive radars operating in the frequency band 76–81 ghz for intelligent transport. systems applications,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Systems characteristics of automotive radars operating in the frequency band 76–81 ghz for intelligent transport. systems applications,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.585485Z

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 947d52d5-7053-4195-9b7f-ec22e4c22107 · outbound

This paper cites A review of multi-sensor fusion in autonomous driving,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets A review of multi-sensor fusion in autonomous driving,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.574552Z

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 6bc9842f-8606-4afb-a798-5078ca56e330 · outbound

This paper cites How centralized radar processing enables safer, smarter autonomous driving,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets How centralized radar processing enables safer, smarter autonomous driving,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.582545Z

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 bf45d7f5-b51a-400e-8178-296e29e063ec · outbound

This paper cites A survey of uncertainty quantification in deep learning,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets A survey of uncertainty quantification in deep learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.613296Z

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 ea00a814-099c-4f61-80ce-f165bf8bd09b · outbound

This paper cites RD-CFAR: Fast and accurate constant false alarm rate algorithm for automotive radar ap- plications,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets RD-CFAR: Fast and accurate constant false alarm rate algorithm for automotive radar ap- plications,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.566218Z

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 813e6a22-25de-4416-8491-f09217699135 · outbound

This paper cites Comparison of cfar algorithms in real-time target detec- tion for automotive radar,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Comparison of cfar algorithms in real-time target detec- tion for automotive radar,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.608246Z

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 67e3dcfd-4b87-406b-8911-84702a79ea24 · outbound

This paper cites Adaptive two-dimensional cfar detection for automotive radar in nonhomogeneous environments,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Adaptive two-dimensional cfar detection for automotive radar in nonhomogeneous environments,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.604069Z

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 31aa75ef-0695-4833-a45b-b29785a409f1 · outbound

This paper cites Knowledge-aided cfar detection for automotive radar applications,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Knowledge-aided cfar detection for automotive radar applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.632429Z

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 dcd8ed1f-9a63-4e55-8475-ca2ff544ee6a · outbound

This paper cites Bar-Shalom, X.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Bar-Shalom, X

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.573779Z

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 fe7b3da8-8d2a-44d4-a8b1-e85b50687a72 · outbound

This paper cites Mahler,Statistical Multisource-Multitarget Information Fusion.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Mahler,Statistical Multisource-Multitarget Information Fusion

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.579642Z

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 c97628ca-1f2f-4dde-92ae-849ce29ee02f · outbound

This paper cites Closely spaced multi- target association and localization using br and aoa measurements in distributed MIMO radar systems,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Closely spaced multi- target association and localization using br and aoa measurements in distributed MIMO radar systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.558757Z

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 7ab034f4-9586-4676-a680-ea4168bb88c0 · outbound

This paper cites Deep Learning-based Estimation for Multitarget Radar Detection.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Deep Learning-based Estimation for Multitarget Radar Detection

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:45:47.037567Z

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 b65a22b7-4003-4abc-bf04-a72849b7447c · outbound

This paper cites See further than cfar: A data-driven radar detector trained by lidar,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets See further than cfar: A data-driven radar detector trained by lidar,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.595121Z

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 ab036e6d-320a-409e-93f8-1454a9b5af35 · outbound

This paper cites Detecting radar targets in range profiles with partially complex-valued neural networks,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Detecting radar targets in range profiles with partially complex-valued neural networks,

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:45:47.040416Z

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 23a78d04-2002-4f25-8e98-ac517a07e73c · outbound

This paper cites Complex-valued neural networks for millimeter-wave fmcw radar angle estimation,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Complex-valued neural networks for millimeter-wave fmcw radar angle estimation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.616430Z

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 18e3fa79-3416-475a-91c5-b64d0d83a850 · outbound

This paper cites Kan-powered large-target detection for automotive radar,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Kan-powered large-target detection for automotive radar,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.618839Z

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 d4f36280-9fc1-4d5d-94d3-e04d435126be · outbound

This paper cites Gamma-based statistical modeling for extended target detection in mmwave automotive radar,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Gamma-based statistical modeling for extended target detection in mmwave automotive radar,

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:45:47.034704Z

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 5372f2fe-abf4-404f-a831-3313bc02f417 · outbound

This paper cites Area-based CFAR target detection for automotive millimeter-wave radar,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Area-based CFAR target detection for automotive millimeter-wave radar,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.599947Z

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 17b9e5e8-edca-4021-a53a-fe8d60d9a492 · outbound

This paper cites Detection of close-proximity automotive targets using lstm,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Detection of close-proximity automotive targets using lstm,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.597707Z

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 060bd42a-91e8-4565-9bd3-7b47b62daec8 · outbound

This paper cites Noise integral-based sparse bayesian learning for doa estimation using grid pruning and adaptation,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Noise integral-based sparse bayesian learning for doa estimation using grid pruning and adaptation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.547012Z

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 943d1633-74bf-4329-8763-b34189575eb2 · outbound

This paper cites A bayesian deep un- folded network for off-grid direction-of-arrival estimation,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets A bayesian deep un- folded network for off-grid direction-of-arrival estimation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.616687Z

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 2d9f02f7-1be5-4dac-97fe-c6f81c66574f · outbound

This paper cites A sparse bayesian learning- based doa estimation method with the kalman filter in mimo radar,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets A sparse bayesian learning- based doa estimation method with the kalman filter in mimo radar,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.629988Z

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 3586a7f8-5240-4c42-a3a6-cbc79a356fa3 · outbound

This paper cites Evidential deep learning to quantify classification uncertainty,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Evidential deep learning to quantify classification uncertainty,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.641622Z

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 841b10a5-a33e-488e-94e2-1fa13b4696b2 · outbound

This paper cites Deep eviden- tial regression,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Deep eviden- tial regression,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.621163Z

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 d40f04e5-233a-45b0-b925-7f5332511ef6 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.625537Z

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 98e1a646-758e-4b5a-90aa-7c340de759bf · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.565412Z

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 82c31c3c-2876-4a4e-974a-6eaa41b7fc4b · outbound

This paper cites Bayesian deep learning and a proba- bilistic perspective of generalization,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Bayesian deep learning and a proba- bilistic perspective of generalization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.625743Z

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 3b734e21-a996-4af5-b190-ef13834d4111 · outbound

This paper cites an unresolved cited work.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-07-07T01:03:06.623332Z

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 504cdba0-0b7c-46ae-821d-2ab20bf98784 · outbound

This paper cites Training products of experts by minimizing contrastive divergence,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Training products of experts by minimizing contrastive divergence,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.636944Z

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 d452229c-3636-40b0-9162-e47d306b09f9 · outbound

This paper cites Cbam: Convolutional block attention module.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Cbam: Convolutional block attention module

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.587641Z

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 79331be3-9de9-415b-98f7-935b194c99a3 · outbound

This paper cites The hungarian method for the assignment problem.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets The hungarian method for the assignment problem

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.592512Z

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 ed4a79b5-af79-4df8-94d0-aff3708bec72 · outbound

This paper cites Deep evidential regression (nig) implemen- tation,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Deep evidential regression (nig) implemen- tation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.627953Z

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 5225182a-e588-457a-bf9e-4dfd8679af1d · outbound

This paper cites an unresolved cited work.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-07-07T01:03:06.576765Z

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 e1dd6484-1194-41b7-bb9c-072d989321dc · outbound

This paper cites Selective classification for deep neural networks,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets Selective classification for deep neural networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.630242Z

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 dcaa4ece-21b5-4042-9f6d-68a0f55ead3b · outbound

This paper cites An introduction to roc analysis.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets An introduction to roc analysis

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.606741Z

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 bd4df158-c9e6-4a43-9634-d17e20b9a5aa · outbound

This paper cites The meaning and use of the area under a receiver operating characteristic (roc) curve,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets The meaning and use of the area under a receiver operating characteristic (roc) curve,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.580197Z

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 ab2d880a-bc76-4172-886c-6ea52aa5c942 · outbound

This paper cites The use of the area under the roc curve in the evaluation of machine learning algorithms,.

Von Mises Based Uncertainty Quantification for Closely Spaced Automotive Radar Targets The use of the area under the roc curve in the evaluation of machine learning algorithms,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T01:03:06.632957Z

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.