Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:39:58.170570Z
Paper Citation Record · LEDGER
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning
As of 23 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2504.12167.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved14
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a8edc120-69a5-43f5-b878-580f81437c67 · outbound
This paper cites Self- supervised learning for domain adaptation on point clouds.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Self- supervised learning for domain adaptation on point clouds
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.959276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c0046a83-f4d4-48a0-8d77-603edc9a7a65 · outbound
This paper cites Look, radiate, and learn: Self-supervised localisation via radio-visual cor- respondence.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Look, radiate, and learn: Self-supervised localisation via radio-visual cor- respondence
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.943641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 53c20ad8-a530-4f04-8630-9d6ff1bde336 · outbound
This paper cites Self-supervised radio-visual representation learning for 6g sensing.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Self-supervised radio-visual representation learning for 6g sensing
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.927769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f3adad1c-a05d-4a79-8baa-c2baa35ec053 · outbound
This paper cites Self-supervised learning by cross-modal audio-video clustering.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Self-supervised learning by cross-modal audio-video clustering
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.911685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 59c40947-79b5-494a-bcb8-ddd68d6aac62 · outbound
This paper cites Psynet: Self-supervised approach to object localization using point symmetric transformation.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Psynet: Self-supervised approach to object localization using point symmetric transformation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.896889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8f5e778a-b177-4012-a390-745599bf1603 · outbound
This paper cites All are worth words: A vit backbone for diffusion models.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning All are worth words: A vit backbone for diffusion models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:57.950772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebfecc87-9cd0-4958-9b86-0e72c9e250aa · outbound
This paper cites an unresolved cited work.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T12:39:58.871449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 697d685e-e1d2-4a8f-a850-21bf900371c6 · outbound
This paper cites Ghost target detection in 3d radar data using point cloud based deep neural network.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Ghost target detection in 3d radar data using point cloud based deep neural network
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.855486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7df0f0d3-fdd8-4b52-afff-7f44f48b17c4 · outbound
This paper cites A simple framework for contrastive learning of visual representations.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning A simple framework for contrastive learning of visual representations
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.839979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5c49c946-dff2-45b3-9ce6-d90dfc03a9fc · outbound
This paper cites Short- range radar based real-time hand gesture recognition using lstm encoder.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Short- range radar based real-time hand gesture recognition using lstm encoder
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.825010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 16fbffa9-916e-4c71-a13b-9c4050754380 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:57.978563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55575093-5c6c-4d91-80ee-8bb08630c2c7 · outbound
This paper cites Bootstrap your own latent-a new approach to self-supervised learning.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Bootstrap your own latent-a new approach to self-supervised learning
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:57.984097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2381052-076f-47d6-8cec-33f93addf4db · outbound
This paper cites Bootstrap- ping autonomous driving radars with self-supervised learn- ing.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Bootstrap- ping autonomous driving radars with self-supervised learn- ing
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.800488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e541a7fe-30b7-46c9-a70a-7a14b22e1aff · outbound
This paper cites Deep residual learning for image recognition.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Deep residual learning for image recognition
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:57.993438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6940a0e6-68bf-4b4b-9279-11fded13d300 · outbound
This paper cites Momentum contrast for unsupervised visual rep- resentation learning.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Momentum contrast for unsupervised visual rep- resentation learning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.775226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dae47cda-1d2c-4849-9d5e-029641d50588 · outbound
This paper cites Radarslam: Radar based large-scale slam in all weathers.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Radarslam: Radar based large-scale slam in all weathers
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.759014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 261b81b1-a050-4292-9af7-802159b69953 · outbound
This paper cites Three ways to improve se- mantic segmentation with self-supervised depth estimation.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Three ways to improve se- mantic segmentation with self-supervised depth estimation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.741712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 594d11c2-fdb2-4bb8-9393-6b8cd3881f30 · outbound
This paper cites L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:58.011938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe2b3dfa-0343-461c-a542-99b106636936 · outbound
This paper cites Kolbe, Tatjana Kutzner, Carl Stephen Smyth, Claus Nagel, Carsten Roensdorf, and Charles Heazel.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Kolbe, Tatjana Kutzner, Carl Stephen Smyth, Claus Nagel, Carsten Roensdorf, and Charles Heazel
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.726051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9c57738a-c13f-4f06-a3de-f5af94387a57 · outbound
This paper cites Using machine learning to detect ghost images in automotive radar.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Using machine learning to detect ghost images in automotive radar
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.710517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4531d558-a843-4715-aa62-4127fe3f74f1 · outbound
This paper cites an unresolved cited work.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T12:39:58.693276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 810621df-7cd6-4c2c-8ce8-ad5a43f2ee5d · outbound
This paper cites Semisupervised human activity recognition with radar micro-doppler signatures.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Semisupervised human activity recognition with radar micro-doppler signatures
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.677276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 677d5c54-810f-411d-8f8f-db43aba5e1d0 · outbound
This paper cites Exploring plain vision transformer backbones for object de- tection.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Exploring plain vision transformer backbones for object de- tection
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:58.037187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b79fbd3-8445-473b-beef-cff8610e0110 · outbound
This paper cites Multipath propagation analy- sis and ghost target removal for fmcw automotive radars.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Multipath propagation analy- sis and ghost target removal for fmcw automotive radars
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.651003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8c5741c1-674d-479a-a2c6-f7879cd3d5b5 · outbound
This paper cites Self-EMD: Self-Supervised Object Detection without ImageNet.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Self-EMD: Self-Supervised Object Detection without ImageNet
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:58.048006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c18ebe9-adf9-45fd-9ef6-190a39a14171 · outbound
This paper cites Roofd- iffusion: Constructing roofs from severely corrupted point data via diffusion.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Roofd- iffusion: Constructing roofs from severely corrupted point data via diffusion
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.634069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 02691f73-78f1-4bc3-a83f-905f6cca0888 · outbound
This paper cites Rrpn: Radar region proposal network for object detection in autonomous vehicles.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Rrpn: Radar region proposal network for object detection in autonomous vehicles
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.617734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b1ad9d13-5660-4358-9bde-9dba00bf360b · outbound
This paper cites Centerfusion: Center-based radar and camera fusion for 3d object detection.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Centerfusion: Center-based radar and camera fusion for 3d object detection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.601036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b783054c-72ac-4e1c-95d2-75d26d0b947f · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Learning transferable visual models from natural language supervi- sion
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:58.069294Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1625580c-d181-4e34-b733-a493c823fb6a · outbound
This paper cites An INSPIRE- conform 3D building model of Bavaria using cadastre in- formation, LiDAR and image matching.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning An INSPIRE- conform 3D building model of Bavaria using cadastre in- formation, LiDAR and image matching
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.574234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 667dfee2-6a0c-4258-ba5f-a64d182b277e · outbound
This paper cites Info3d: Representation learning on 3d ob- jects using mutual information maximization and contrastive learning.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Info3d: Representation learning on 3d ob- jects using mutual information maximization and contrastive learning
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.558396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation be9bc611-ff5d-43b4-8865-c442574bf023 · outbound
This paper cites Radhar: Human activity recognition from point clouds generated through a millimeter-wave radar.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Radhar: Human activity recognition from point clouds generated through a millimeter-wave radar
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.542589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 35fcc271-9d18-49c0-885c-76271ec7ef5e · outbound
This paper cites Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:58.089434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 626bb115-289a-4c17-bb6a-3c037179dafd · outbound
This paper cites TUM2TWIN.
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.526401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3ff8bedd-1ad7-4e99-b1b6-65fd0ec12497 · outbound
This paper cites Rodnet: Radar object detection using cross-modal supervision.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Rodnet: Radar object detection using cross-modal supervision
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.509825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 468639df-245f-40e6-8285-e5a1151ed5a6 · outbound
This paper cites A framework for fully automated reconstruction of semantic building model at urban-scale using textured lod2 data.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning A framework for fully automated reconstruction of semantic building model at urban-scale using textured lod2 data
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.493657Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2c174e8f-b351-42de-a57f-11408636b618 · outbound
This paper cites Boosting 3d single object tracking with 2d matching distilla- tion and 3d pre-training.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Boosting 3d single object tracking with 2d matching distilla- tion and 3d pre-training
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.477241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 36683784-82b4-4986-926e-f12ae5a164a4 · outbound
This paper cites Oloocki/awesome-citygml: Release, 2022.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Oloocki/awesome-citygml: Release, 2022
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.461812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 346e2c8e-2a75-4b25-b798-e309f4b35679 · outbound
This paper cites Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.445783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c3151c9a-6aa7-499f-b2cd-9ae2ba4c9366 · outbound
This paper cites Reviewing open data seman- tic 3d city models to develop novel 3d reconstruction meth- ods.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Reviewing open data seman- tic 3d city models to develop novel 3d reconstruction meth- ods
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:58.121645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bf850bd-902c-4858-850c-ee1e0f6c94f2 · outbound
This paper cites A lightweight and detector-free 3d single object tracker on point clouds.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning A lightweight and detector-free 3d single object tracker on point clouds
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.420038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1c2b804a-8fa2-4f11-a351-4700b2f3a238 · outbound
This paper cites Text2loc: 3d point cloud localization from natural language.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Text2loc: 3d point cloud localization from natural language
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.404092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cacd4c87-9dab-41ef-b25c-5bc64bcc9290 · outbound
This paper cites Roof plane parsing towards lod-2.2 building recon- struction based on joint learning using remote sensing im- ages.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Roof plane parsing towards lod-2.2 building recon- struction based on joint learning using remote sensing im- ages
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.388044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dcc56a42-e1af-4656-85a0-80a9e15ba101 · outbound
This paper cites In- stance localization for self-supervised detection pretraining.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning In- stance localization for self-supervised detection pretraining
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.370745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f977a344-7321-4bbb-ab09-f5ebb60a3350 · outbound
This paper cites Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Radar-camera fusion for object detection and semantic segmentation in autonomous driving: A comprehensive review
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.353041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b8fb4eae-878c-47c5-b347-d38faba8299f · outbound
This paper cites Latern: Dy- namic continuous hand gesture recognition using fmcw radar sensor.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Latern: Dy- namic continuous hand gesture recognition using fmcw radar sensor
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.337162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 311408b5-2f8d-460c-a2b6-909366e9a08c · outbound
This paper cites Open3D: A Modern Library for 3D Data Processing.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Open3D: A Modern Library for 3D Data Processing
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:39:58.155080Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8fe70ac-cd5c-43c8-985a-61d120ddae46 · outbound
This paper cites Self-supervised learning of object parts for semantic segmentation.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Self-supervised learning of object parts for semantic segmentation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.321002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9fad7c8e-071e-479b-ac81-21979880b6b2 · outbound
This paper cites an unresolved cited work.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T12:39:58.305379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a5b79fe6-a208-4ffd-8a4d-e12df21deba9 · outbound
This paper cites Impact of OLS in L-NMS The OLS value used in L-NMS is chosen through an ex- perimental evaluation.
RADLER: Radar Object Detection Leveraging Semantic 3D City Models and Self-Supervised Radar-Image Learning Impact of OLS in L-NMS The OLS value used in L-NMS is chosen through an ex- perimental evaluation
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:39:58.288333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.