Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:42:35.876127Z
Paper Citation Record · LEDGER
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 6 inbound Pith citation observations for arXiv:2411.08402.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T00:59:47.443153Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T03:00:48.042143Z
Reference resolution
71 of 71 outbound references displayed
- verified exact1
- verified fuzzy61
- unresolved8
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c12ba548-90c5-4ce2-a59c-1fe1855e547a · outbound
This paper cites To- wards robust 3d object detection with lidar and 4d radar fu- sion in various weather conditions.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection To- wards robust 3d object detection with lidar and 4d radar fu- sion in various weather conditions
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.683974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c6421a8d-d1b8-4283-ba7b-0864090c9016 · outbound
This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.672899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c3716ccf-a6b0-4893-8879-fcea37326980 · outbound
This paper cites V oxel R-CNN: Towards High Performance V oxel-based 3D Object Detection.AAAI, 35, 2021.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection V oxel R-CNN: Towards High Performance V oxel-based 3D Object Detection.AAAI, 35, 2021
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.661477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 00203c8b-1c52-4159-b57f-e4bf3c89440c · outbound
This paper cites Cmd: A cross mechanism domain adaptation dataset for 3d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Cmd: A cross mechanism domain adaptation dataset for 3d object detection
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.650402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f179654a-f1c9-424a-9ddc-34af418ce00e · outbound
This paper cites Benchmarking robustness of 3d object detection to common corruptions.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Benchmarking robustness of 3d object detection to common corruptions
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.639414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ca9937ba-f0b3-494e-9a3c-8ef39b81155c · outbound
This paper cites Carla: An open urban driv- ing simulator.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Carla: An open urban driv- ing simulator
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.633835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c72280f3-3ce0-42ac-b037-a629880d29b0 · outbound
This paper cites ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection ActiveAnno3D -- An Active Learning Framework for Multi-Modal 3D Object Detection
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.638255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c438a146-d38e-4362-bce7-8833859b878e · outbound
This paper cites Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.620225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7069ee08-4ee6-4c0b-8888-9bdd2fc1fdf6 · outbound
This paper cites Li- DAR Snowfall Simulation for Robust 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Li- DAR Snowfall Simulation for Robust 3D Object Detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.607500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a2196ead-d68d-4e83-a54e-a9e5b547cc5e · outbound
This paper cites 4D Millimeter-Wave Radar in Autonomous Driving: A Survey.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection 4D Millimeter-Wave Radar in Autonomous Driving: A Survey
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.649918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5e96791-3aef-4e7f-ad39-a1b33ad0504e · outbound
This paper cites Denoising dif- fusion probabilistic models.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Denoising dif- fusion probabilistic models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.654281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85d76edd-7787-4583-8252-6ccdf634f3b1 · outbound
This paper cites Where2comm: Communication-efficient collab- orative perception via spatial confidence maps.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Where2comm: Communication-efficient collab- orative perception via spatial confidence maps
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.658265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2013d6db-9079-42fe-99da-9b8098074c6c · outbound
This paper cites Communication-efficient collaborative percep- tion via information filling with codebook.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Communication-efficient collaborative percep- tion via information filling with codebook
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.569717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b6ad403e-1817-40aa-94c6-d107d02961f7 · outbound
This paper cites Ptt: Point-trajectory transformer for efficient temporal 3d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Ptt: Point-trajectory transformer for efficient temporal 3d object detection
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.558939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3cba0921-fd87-4f9f-96e6-b1bb82b2c038 · outbound
This paper cites Sunshine to rainstorm: Cross-weather knowledge distillation for robust 3d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Sunshine to rainstorm: Cross-weather knowledge distillation for robust 3d object detection
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.547696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 08661dc6-1383-4fcd-b8dc-c86b4469eda9 · outbound
This paper cites L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.676524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f6142e2-7c09-404a-b52e-d54a6e343137 · outbound
This paper cites Sparse focus network for multi-source remote sensing data classification.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Sparse focus network for multi-source remote sensing data classification
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.535404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation de150a7e-1909-47a8-9a0c-50b1033c3f36 · outbound
This paper cites Adafusion: Visual-lidar fusion with adaptive weights for place recogni- tion.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Adafusion: Visual-lidar fusion with adaptive weights for place recogni- tion
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.524694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 849b4021-2c6b-4bb1-b6e6-149d635c4741 · outbound
This paper cites Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Lang, Sourabh V ora, Holger Caesar, Lubing Zhou, Jiong Yang, and Oscar Beijbom
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.513679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1c1b2585-6c32-4db7-ab2c-50c062a29b29 · outbound
This paper cites V2x-sim: Multi-agent col- laborative perception dataset and benchmark for autonomous driving.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection V2x-sim: Multi-agent col- laborative perception dataset and benchmark for autonomous driving
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.502847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 148c9628-4b14-4968-a3e5-1ebadd298a22 · outbound
This paper cites Le, Alan Yuille, and Mingxing Tan.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Le, Alan Yuille, and Mingxing Tan
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.490961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9ff9b0bb-cd3c-4967-8925-680826eeefee · outbound
This paper cites Modality-agnostic learning for radar-lidar fusion in ve- hicle detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Modality-agnostic learning for radar-lidar fusion in ve- hicle detection
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.479704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 004e4fd6-8af0-4765-bd52-6629fd74487d · outbound
This paper cites St-mvdnet++: Improve vehicle detection with lidar-radar geometrical aug- mentation via self-training.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection St-mvdnet++: Improve vehicle detection with lidar-radar geometrical aug- mentation via self-training
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.467966Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7ae42d32-f019-4296-a2a8-60d4b0c94797 · outbound
This paper cites Improved 3D Object Detector Under Snow- fall Weather Condition Based on LiDAR Point Cloud.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Improved 3D Object Detector Under Snow- fall Weather Condition Based on LiDAR Point Cloud
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.457496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 21ae7f31-361d-4d79-aaad-67458e268ac6 · outbound
This paper cites Ss-mae: Spatial–spectral masked autoencoder for mul- tisource remote sensing image classification.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Ss-mae: Spatial–spectral masked autoencoder for mul- tisource remote sensing image classification
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.446497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7bc6a1e2-da52-484b-ad9c-65f1091a44a8 · outbound
This paper cites Boosting spatial-spectral masked auto-encoder through mining redundant spectra for hsi-sar/lidar classification.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Boosting spatial-spectral masked auto-encoder through mining redundant spectra for hsi-sar/lidar classification
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.434883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cbb48e74-efaa-49d2-aa79-31db0b435e35 · outbound
This paper cites Rus, and Song Han.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Rus, and Song Han
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.422837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f1c1e9e8-8ee1-4da0-bc26-85d4e0e27020 · outbound
This paper cites Microscopic traffic simulation using sumo.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Microscopic traffic simulation using sumo
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.412460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 75450b63-5ed1-45d5-b919-c52b1d272d9d · outbound
This paper cites Robust collabora- tive 3d object detection in presence of pose errors.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Robust collabora- tive 3d object detection in presence of pose errors
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.401722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e0eb8524-5b9a-437a-9dc7-0bf353a88ac9 · outbound
This paper cites Macp: Efficient model adap- tation for cooperative perception.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Macp: Efficient model adap- tation for cooperative perception
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.391111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 54b1325c-5676-411c-a3bd-1be6725dab81 · outbound
This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection K-radar: 4d radar object detection for autonomous driving in various weather conditions
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.380257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 441f25fa-b371-4a65-9f7d-6bb4648061e4 · outbound
This paper cites K-radar: 4d radar object detection for autonomous driving in various weather conditions.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection K-radar: 4d radar object detection for autonomous driving in various weather conditions
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.369068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation da1701c4-3469-43e3-8793-3bfdd2cedb9b · outbound
This paper cites Multi-class road user 13 detection with 3+ 1d radar in the view-of-delft dataset.IEEE Robotics and Automation Letters, 7(2):4961–4968, 2022.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Multi-class road user 13 detection with 3+ 1d radar in the view-of-delft dataset.IEEE Robotics and Automation Letters, 7(2):4961–4968, 2022
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.358430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd82e9f2-4b10-440a-8f89-2ef6717f0364 · outbound
This paper cites Robust multimodal vehicle detection in foggy weather using com- plementary lidar and radar signals.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Robust multimodal vehicle detection in foggy weather using com- plementary lidar and radar signals
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.346746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 98df44b7-3c57-43ff-ae7e-8e182cabc837 · outbound
This paper cites Sicp: Simultaneous individual and cooperative perception for 3d object detection in connected and automated vehicles, 2024.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Sicp: Simultaneous individual and cooperative perception for 3d object detection in connected and automated vehicles, 2024
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.336153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1cbc4ada-3733-4bba-8ada-620982e6dbf9 · outbound
This paper cites Car2x-based perception in a high-level fusion ar- chitecture for cooperative perception systems.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Car2x-based perception in a high-level fusion ar- chitecture for cooperative perception systems
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.325488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 43fd7b20-b192-4409-b534-d4ef455cf71e · outbound
This paper cites Collabora- tive automated driving: A machine learning-based method to enhance the accuracy of shared information.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Collabora- tive automated driving: A machine learning-based method to enhance the accuracy of shared information
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.315316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b3309614-5ca4-43d1-ae9b-db0ebfb42ddb · outbound
This paper cites U- net: Convolutional networks for biomedical image segmen- tation.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection U- net: Convolutional networks for biomedical image segmen- tation
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.305145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bbd034c5-be44-4533-8ea4-ed833ab37909 · outbound
This paper cites PV-RCNN: Point- V oxel Feature Set Abstraction for 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection PV-RCNN: Point- V oxel Feature Set Abstraction for 3D Object Detection
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.295387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 22c58b8f-88f5-4f9f-911f-4790c6339eff · outbound
This paper cites PV- RCNN++: Point-V oxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection PV- RCNN++: Point-V oxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.285228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ebf4b0cf-d4dd-4042-b9ff-892361abc545 · outbound
This paper cites LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.768599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5b50689-007a-42c7-b1ac-cdf27fbc36e1 · outbound
This paper cites 4d automotive radar sens- ing for autonomous vehicles: A sparsity-oriented approach.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection 4d automotive radar sens- ing for autonomous vehicles: A sparsity-oriented approach
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.274584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a0a9bf1d-2aa2-48df-b448-1addb9107fe9 · outbound
This paper cites DSVT: Dynamic Sparse V oxel Transformer With Rotated Sets.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection DSVT: Dynamic Sparse V oxel Transformer With Rotated Sets
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.263907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fba68aeb-3a62-4f36-b459-ffc02d44b80a · outbound
This paper cites Multi- modal and multi-scale fusion 3d object detection of 4d radar and lidar for autonomous driving.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Multi- modal and multi-scale fusion 3d object detection of 4d radar and lidar for autonomous driving
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.253567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 725b1ec5-e894-4765-b822-78343b8edf32 · outbound
This paper cites Interfusion: Interaction-based 4d radar and lidar fusion for 3d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Interfusion: Interaction-based 4d radar and lidar fusion for 3d object detection
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.242678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d4e2b5de-af5b-48b5-a7f1-4e65285bc0d8 · outbound
This paper cites Transformation-equivariant 3d object detec- tion for autonomous driving.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Transformation-equivariant 3d object detec- tion for autonomous driving
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.230690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 85fe1675-6c12-46f4-ace3-aa4f0b161c96 · outbound
This paper cites Virtual Sparse Convolution for Multimodal 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Virtual Sparse Convolution for Multimodal 3D Object Detection
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.218575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ace48c5b-e635-4b9c-85bf-a91e097a4220 · outbound
This paper cites Commonsense Prototype for Outdoor Unsupervised 3D Object Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T21:42:35.913688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3c7f4c34-5ee1-45b6-b381-d9c5743424c2 · outbound
This paper cites Coin: Contrastive instance feature mining for outdoor 3d object detection with very lim- ited annotations.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Coin: Contrastive instance feature mining for outdoor 3d object detection with very lim- ited annotations
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.207169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fa0e4d6e-7bf4-41d7-9a2a-7d51a2f53f31 · outbound
This paper cites Hinted: Hard instance enhanced detector with mixed- density feature fusion for sparsely-supervised 3d object de- tection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Hinted: Hard instance enhanced detector with mixed- density feature fusion for sparsely-supervised 3d object de- tection
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.195913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 41736d29-29f0-4432-8f89-56bf4b75076a · outbound
This paper cites Hm-vit: Hetero- modal vehicle-to-vehicle cooperative perception with vision transformer.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Hm-vit: Hetero- modal vehicle-to-vehicle cooperative perception with vision transformer
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.183035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7b74700c-42d0-4d0e-884e-a34096ef8465 · outbound
This paper cites Rpfa-net: a 4d radar pillar feature attention network for 3d object detec- tion.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Rpfa-net: a 4d radar pillar feature attention network for 3d object detec- tion
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.171728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c0cd393e-c3be-4f69-a34a-3bd9ce0be5dc · outbound
This paper cites Rpfa-net: a 4d radar pillar feature attention network for 3d object detec- tion.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Rpfa-net: a 4d radar pillar feature attention network for 3d object detec- tion
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.159338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9db95315-c824-440a-8787-cee886d5a277 · outbound
This paper cites The object detection, perspective and obstacles in robotic: A review.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection The object detection, perspective and obstacles in robotic: A review
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.147594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3855cb79-ae1e-4d89-9f45-ac56f1be5892 · outbound
This paper cites Opencda: an open cooperative driving automa- tion framework integrated with co-simulation.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Opencda: an open cooperative driving automa- tion framework integrated with co-simulation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.135770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd1d5a1b-9886-4618-b137-42d33c846e25 · outbound
This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection V2x-vit: Vehicle-to-everything cooperative perception with vision transformer
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:42:35.823785Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4287e556-cd74-40ce-92cb-b4972555f781 · outbound
This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communica- tion.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communica- tion
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.117001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b259a26a-238a-4432-9c3e-e7a7b2c4f596 · outbound
This paper cites Cobevt: Cooperative bird’s eye view 14 semantic segmentation with sparse transformers.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Cobevt: Cooperative bird’s eye view 14 semantic segmentation with sparse transformers
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.105521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3ed9258d-cbf0-4e0f-86ca-6ee045301a30 · outbound
This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle coop- erative perception.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection V2v4real: A real-world large-scale dataset for vehicle-to-vehicle coop- erative perception
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.094726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cf5fa529-ec8f-4913-b7ab-500643fdd0ef · outbound
This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.083554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 55d0a6ee-c37a-465b-9375-2be49fad527f · outbound
This paper cites Cross modal trans- former: Towards fast and robust 3d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Cross modal trans- former: Towards fast and robust 3d object detection
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.072177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8ea250eb-0b41-45ab-afa8-777e6a336c79 · outbound
This paper cites SECOND: Sparsely Em- bedded Convolutional Detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection SECOND: Sparsely Em- bedded Convolutional Detection
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.060613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8948023e-ea9e-4218-8d80-7681149bad48 · outbound
This paper cites Spatio-temporal domain awareness for multi-agent collabo- rative perception.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Spatio-temporal domain awareness for multi-agent collabo- rative perception
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.049673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6bf52846-b722-48fd-b033-e0a91bfc0756 · outbound
This paper cites 3DSSD: Point-Based 3D Single Stage Object Detector.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection 3DSSD: Point-Based 3D Single Stage Object Detector
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.038869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4e9c6112-7dae-4df5-b037-1024ab217b68 · outbound
This paper cites Diffusionmtl: Learning multi-task denoising diffusion model from partially annotated data.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Diffusionmtl: Learning multi-task denoising diffusion model from partially annotated data
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.027603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 765b325a-5ef0-469c-ad4b-95f3b149cc8a · outbound
This paper cites Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.015648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation edacc945-966e-4db2-b2a6-c2e8f13c9424 · outbound
This paper cites Safdnet: A simple and effective net- work for fully sparse 3d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Safdnet: A simple and effective net- work for fully sparse 3d object detection
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:36.004350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8023dbbe-a154-4325-a350-6899f8805592 · outbound
This paper cites Bm2cp: Effi- cient collaborative perception with lidar-camera modalities.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Bm2cp: Effi- cient collaborative perception with lidar-camera modalities
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:35.992754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bca5a82c-183a-46de-b7ed-f8475101d38a · outbound
This paper cites Rc- fusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Rc- fusion: Fusing 4-d radar and camera with bird’s-eye view features for 3-d object detection
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:35.980565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a1b4ee16-f54f-48fd-a54c-92c64af8f94a · outbound
This paper cites Tumtraf v2x cooperative perception dataset.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Tumtraf v2x cooperative perception dataset
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:42:35.968799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 04b85342-cb79-4a1d-ad4b-8072bab512d3 · outbound
This paper cites an unresolved cited work.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection Unresolved cited work
Reference 2022
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-12T21:42:36.581145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation e254d8dc-2932-46a4-be2c-eef6b51d5837 · inbound
V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction cites this paper.
V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:59:47.443153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da888c37-f834-4852-a828-bf355f874df4 · inbound
AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration cites this paper.
AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:10:58.698111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83e6a245-4240-46a8-8984-7d21eeebcac0 · inbound
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising cites this paper.
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:57:32.070268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7731733e-b760-4810-a458-13b9a1c09e76 · inbound
Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences cites this paper.
Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 160
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:35:39.632546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a8b27a7-7ece-4191-a1cc-40e73e67d6b2 · inbound
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey cites this paper.
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:06:49.421753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 590faae7-1066-428a-a0c4-8e0089d1bbe7 · inbound
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles cites this paper.
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T03:00:48.044897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.