Paper Citation Record · LEDGER

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.00584.

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

pith.paper-citation-record.v1
2505.00584 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:42:39.353305Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

verified exact1
verified fuzzy8
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a19371a3-f055-45ac-a138-ade81510490f · outbound

This paper cites Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Radar and Camera Fusion for Object Detection and Tracking: A Comprehensive Survey

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.291010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9ddc618-9b78-4243-b233-c88931a40183 · outbound

This paper cites DETRs with Collaborative Hybrid Assignments Training.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets DETRs with Collaborative Hybrid Assignments Training

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.295238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad743bd-f53b-447a-b35e-e886d2af59d0 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Microsoft COCO: Common Objects in Context

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.298956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39f140c3-0c49-4bad-8132-9f8255b2f83c · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets nuscenes: A multimodal dataset for autonomous driving,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.608395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 201b73c4-0bc1-47fa-805d-89cdbd339485 · outbound

This paper cites Sparse4D v3: Advancing End-to-End 3D Detection and Tracking.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Sparse4D v3: Advancing End-to-End 3D Detection and Tracking

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.306484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578e2cf0-8b60-43d4-8758-a7609a71b21f · outbound

This paper cites 3d multi-object tracking: A baseline and new evaluation metrics,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets 3d multi-object tracking: A baseline and new evaluation metrics,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.598425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0f9dccaa-f086-4162-a5d0-62bd961e6d51 · outbound

This paper cites Center-based 3D Object Detection and Tracking.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Center-based 3D Object Detection and Tracking

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.313660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0cbc99e-e5b3-4b95-876a-c187ac8ed057 · outbound

This paper cites Rcbevdet++: Toward high-accuracy radar-camera fusion 3d perception network,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Rcbevdet++: Toward high-accuracy radar-camera fusion 3d perception network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.588243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 798c235e-8d90-4bac-abd3-866abaf98894 · outbound

This paper cites A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:42:39.463448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 964dff9d-2afe-456d-815a-e165cacf91e0 · outbound

This paper cites an unresolved cited work.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-16T04:42:39.578701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 56617ee2-e4b5-4ee1-92aa-c95766aaeffd · outbound

This paper cites Automotive radars: A review of signal processing techniques,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Automotive radars: A review of signal processing techniques,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.568773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ceafe2a-11d6-4af5-a9fc-7f8ef2dc3b05 · outbound

This paper cites Survey on lidar perception in adverse weather conditions,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Survey on lidar perception in adverse weather conditions,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.558759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 16199c1b-c5b2-4571-a02f-4ea06ec912e0 · outbound

This paper cites Radiant: Radar-image association network for 3d object detection,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Radiant: Radar-image association network for 3d object detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.548965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1d9ae03-28d1-4b63-9b7c-d1759b04da4c · outbound

This paper cites Crn: Camera radar net for accurate, robust, efficient 3d perception,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Crn: Camera radar net for accurate, robust, efficient 3d perception,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.538412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e28fe129-807e-4a14-b1f0-73344feb9a9c · outbound

This paper cites RadSegNet: A Reliable Approach to Radar Camera Fusion.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets RadSegNet: A Reliable Approach to Radar Camera Fusion

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.343837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8fbd432-0568-4656-8c2d-03d700e2cf4e · outbound

This paper cites Immfusion: Robust mmwave-rgb fusion for 3d human body reconstruction in all weather conditions,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Immfusion: Robust mmwave-rgb fusion for 3d human body reconstruction in all weather conditions,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.347054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4668534f-4d7b-430a-9050-12b7b906310f · outbound

This paper cites Precision and accuracy in radar measurements,.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets Precision and accuracy in radar measurements,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:42:39.527169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a9b0c08c-6e08-407e-960f-1603ce231da4 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.353305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b60e16-a295-47e1-8740-c1593f9541d6 · outbound

This paper cites RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network.

Synthesizing and Identifying Noise Levels in Autonomous Vehicle Camera Radar Datasets RCBEVDet++: Toward High-accuracy Radar-Camera Fusion 3D Perception Network

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T04:42:39.320401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.