Paper Citation Record · LEDGER

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior

As of 15 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2505.09887.

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

pith.paper-citation-record.v1
2505.09887 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:27:47.081860Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:48:44.230339Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T11:48:48.704336Z

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy36
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c9a89187-e739-4bde-a435-0fbfcec2602f · outbound

This paper cites Cnn based road user detection using the 3d radar cube.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Cnn based road user detection using the 3d radar cube

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.724322Z

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 ad7dc0b7-75c9-4930-b7f3-5a6a7b65575f · outbound

This paper cites Smurf: Spatial multi- representation fusion for 3d object detection with 4d imaging radar.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Smurf: Spatial multi- representation fusion for 3d object detection with 4d imaging radar

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.713197Z

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 ae08ce31-723c-4477-9e46-357ae54d9626 · outbound

This paper cites Ralibev: Radar and lidar bev fusion learning for anchor box free object detection systems.IEEE Transactions on Circuits and Systems for Video Technology, 2024.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Ralibev: Radar and lidar bev fusion learning for anchor box free object detection systems.IEEE Transactions on Circuits and Systems for Video Technology, 2024

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.701854Z

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 607ec007-0caa-44e4-8c1b-04f707abc655 · outbound

This paper cites Rcfusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Rcfusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.689794Z

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 e1dfbc40-27ce-475d-a723-46d1e3ebc992 · outbound

This paper cites Contrastive learning for automotive mmwave radar detection points based instance segmentation.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Contrastive learning for automotive mmwave radar detection points based instance segmentation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.677828Z

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 9258fd40-9e25-45ce-8536-0d98c56cadcb · outbound

This paper cites Vehicle-to-Everything Cooperative Perception for Autonomous Driving.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:46.919593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad4dcc1-5ee1-452d-b9cb-0c73dafb7cc7 · outbound

This paper cites Multiple-input multiple-output (mimo) radar and imaging: degrees of free- dom and resolution.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Multiple-input multiple-output (mimo) radar and imaging: degrees of free- dom and resolution

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.665199Z

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 62123c5e-a1a7-4a6e-97bf-7256757bc18a · outbound

This paper cites 2d-radar imaging with deep convolutional neural networks.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior 2d-radar imaging with deep convolutional neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.653459Z

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 591ab951-0c66-4e0f-ac49-7a3a257c075b · outbound

This paper cites Pillargen: Enhancing radar point cloud density and quality via pillar-based point generation net- work.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Pillargen: Enhancing radar point cloud density and quality via pillar-based point generation net- work

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.641718Z

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 3a10497e-f819-46bd-8f14-10e46e285b7f · outbound

This paper cites High resolution point clouds from mmwave radar.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior High resolution point clouds from mmwave radar

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.629789Z

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 e36224e6-039d-4576-b413-51a25c049e02 · outbound

This paper cites A new automotive radar 4d point clouds detector by using deep learning.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior A new automotive radar 4d point clouds detector by using deep learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.618396Z

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 8ec43a03-1855-4dc9-8fc2-709734d04dc0 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Score-Based Generative Modeling through Stochastic Differential Equations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:46.950213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb026cb1-2dc6-4eef-9ab0-570dfe13e6d9 · outbound

This paper cites Denoising diffusion probabilistic models.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Denoising diffusion probabilistic models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T21:27:46.954630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2076d594-4f7d-45e0-881e-2364fca7b6cb · outbound

This paper cites Diffradar: High-quality mmwave radar perception with diffusion probabilistic model.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Diffradar: High-quality mmwave radar perception with diffusion probabilistic model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.597814Z

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 86401253-ca55-4b3a-8d10-ec0c0db5ebc3 · outbound

This paper cites Diffusion-based point cloud super-resolution for mmwave radar data.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Diffusion-based point cloud super-resolution for mmwave radar data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.586561Z

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 2f2894c9-1e46-4734-be96-0c64ba30eabf · outbound

This paper cites Diffusion-based mmwave radar point cloud enhancement driven by range images, 2025.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Diffusion-based mmwave radar point cloud enhancement driven by range images, 2025

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.574257Z

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 8d7e531f-eeb1-4656-8150-635eda998877 · outbound

This paper cites R2ldm: An efficient 4d radar super-resolution framework leveraging diffusion model, 2025.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior R2ldm: An efficient 4d radar super-resolution framework leveraging diffusion model, 2025

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.563522Z

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 d766b089-e2d6-4dbc-b8f8-8a28b58a7459 · outbound

This paper cites Towards dense and accurate radar perception via efficient cross-modal diffusion model.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Towards dense and accurate radar perception via efficient cross-modal diffusion model

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.551785Z

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 235ad0f4-36b4-46ac-a9cc-4c77f89025b8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior High-resolution image synthesis with latent diffusion models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.540560Z

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 d52066e1-64fc-42c5-a8a1-bccead4059c2 · outbound

This paper cites 4d high-resolution imagery of point clouds for automotive mmwave radar.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior 4d high-resolution imagery of point clouds for automotive mmwave radar

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.527691Z

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 c3b9b47b-080f-489b-baca-0ce8cffd1d85 · outbound

This paper cites A novel radar point cloud generation method for robot environment perception.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior A novel radar point cloud generation method for robot environment perception

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.516141Z

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 3d301d42-0fb7-4185-ae66-dd92fd285409 · outbound

This paper cites DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:27:47.146845Z

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 2a39117e-a3bb-439a-b84f-48637abd8504 · outbound

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

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior See further than cfar: a data-driven radar detector trained by lidar

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.504090Z

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 f0ce62d8-923b-44d4-81db-c553d8768e67 · outbound

This paper cites A Deep Automotive Radar Detector using the RaDelft Dataset.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior A Deep Automotive Radar Detector using the RaDelft Dataset

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:27:47.129485Z

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 1a3989c2-c5aa-4a5d-81c8-bd5cbd513669 · outbound

This paper cites Solving inverse problems with latent diffusion models via hard data consistency.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Solving inverse problems with latent diffusion models via hard data consistency

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.492070Z

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 95056ae6-6810-4a0c-8b6f-b1e556d6f607 · outbound

This paper cites Solving linear inverse problems provably via posterior sampling with latent diffusion models.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Solving linear inverse problems provably via posterior sampling with latent diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.366256Z

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 050ef93d-2b5f-485c-9a49-684a3da927cc · outbound

This paper cites Bayesian mri reconstruction with joint uncertainty estimation using diffusion models.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Bayesian mri reconstruction with joint uncertainty estimation using diffusion models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.355894Z

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 b224a68c-6c41-4b2f-b249-8745d1f75a74 · outbound

This paper cites Autoregressive image diffusion: Generation of image sequence and application in mri.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Autoregressive image diffusion: Generation of image sequence and application in mri

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.344823Z

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 95ff7b22-857e-4de8-8c29-de978697dfd6 · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Diffusion posterior sampling for general noisy inverse problems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.332922Z

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 6cb89cb7-8f96-4189-87f2-4874b2c0ab4d · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Improving diffusion models for inverse problems using manifold constraints

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.320599Z

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 23270088-7f9c-4164-9907-bbe08da3e9c9 · outbound

This paper cites Diffusion models for audio restoration, 2024.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Diffusion models for audio restoration, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.308756Z

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 cac61144-8f57-4ad3-8ad9-ea0e340f5e5a · outbound

This paper cites The inverse problem in radar and optical imaging.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior The inverse problem in radar and optical imaging

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.297041Z

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 8e5bf761-cee3-4742-9ed5-d6e748555474 · outbound

This paper cites Synthetic aperture radar interferometry.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Synthetic aperture radar interferometry

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.284456Z

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 b71d6578-3d37-4a89-b800-5d411a82018a · outbound

This paper cites Methods for solving inverse problems in radar remote sensing.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Methods for solving inverse problems in radar remote sensing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.271960Z

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 8ddfd0f4-dc34-4901-9df0-bca5023757b1 · outbound

This paper cites Problems in synthetic-aperture radar imaging.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Problems in synthetic-aperture radar imaging

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.260339Z

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 aaef1069-d0c2-4411-9144-354489bca561 · outbound

This paper cites Mri reconstruction using deep bayesian estimation.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Mri reconstruction using deep bayesian estimation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.248354Z

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 d44e3106-06cc-47db-b097-ac0a64053045 · outbound

This paper cites Solving enhanced radar imaging inverse problems: From descriptive regularization to fea- ture structured superresolution sensing.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Solving enhanced radar imaging inverse problems: From descriptive regularization to fea- ture structured superresolution sensing

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.235933Z

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 59ed3c02-a1d7-40a4-ada2-9f0ca63a9c50 · outbound

This paper cites Raw high-definition radar for multi- task learning.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Raw high-definition radar for multi- task learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.223681Z

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 6485b778-978c-4cb1-a8cd-ef1a83e5d51e · outbound

This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior K-radar: 4d radar object detection for autonomous driving in various weather conditions

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.210465Z

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 7b39da27-216c-4822-945b-96fc291ad453 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior U-net: Convolutional networks for biomedical image segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.195890Z

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 bbf7e09b-01be-43ca-84f6-655a4118dadb · outbound

This paper cites TI MMW A VE- 2243 CASCADE.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior TI MMW A VE- 2243 CASCADE

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:27:47.183227Z

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.

Pith citing papers

Observation bb7015ac-593b-40ab-b1ec-182736a0fc9b · inbound

Sem-RaDiff: Diffusion-Based 3D Radar Semantic Perception in Cluttered Agricultural Environments cites this paper.

Sem-RaDiff: Diffusion-Based 3D Radar Semantic Perception in Cluttered Agricultural Environments Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-05T11:48:48.873345Z

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.