Paper Citation Record · LEDGER

Robust sensor fusion against on-vehicle sensor staleness

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.05780.

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

pith.paper-citation-record.v1
2506.05780 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:21:09.932794Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

17 of 17 outbound references displayed

verified exact2
verified fuzzy14
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 125e586d-d56d-48c4-a4fd-9e2970ee265d · outbound

This paper cites Transfusion: Robust lidar-camera fusion for 3d object detection with transformers.

Robust sensor fusion against on-vehicle sensor staleness Transfusion: Robust lidar-camera fusion for 3d object detection with transformers

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.429432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62659e84-6982-4a2f-93d4-ae9374a6b79c · outbound

This paper cites Yolov4: Optimal speed and accu- racy of object detection, 2020.

Robust sensor fusion against on-vehicle sensor staleness Yolov4: Optimal speed and accu- racy of object detection, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.405504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdae14bd-dbaa-467f-b524-e35a9ad9abc1 · outbound

This paper cites End-to-end object detection with trans- formers.

Robust sensor fusion against on-vehicle sensor staleness End-to-end object detection with trans- formers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.386604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1209b049-5a46-4318-833d-d2c5afea45ce · outbound

This paper cites Unified motion-based calibration of mobile multi-sensor platforms with time delay estimation.

Robust sensor fusion against on-vehicle sensor staleness Unified motion-based calibration of mobile multi-sensor platforms with time delay estimation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.363182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5bc224a-cc1e-40b1-8972-768f2ec193ee · outbound

This paper cites Multi-view fusion of sensor data for im- proved perception and prediction in autonomous driving.

Robust sensor fusion against on-vehicle sensor staleness Multi-view fusion of sensor data for im- proved perception and prediction in autonomous driving

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.339448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 821f4d71-8803-4eff-a3fa-f87e1175acb4 · outbound

This paper cites SpotNet: An Image Centric, Lidar Anchored Approach To Long Range Perception.

Robust sensor fusion against on-vehicle sensor staleness SpotNet: An Image Centric, Lidar Anchored Approach To Long Range Perception

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:21:10.095457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ab4602a-8b22-4d9e-acdf-8c5b9cebbe79 · outbound

This paper cites Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection.

Robust sensor fusion against on-vehicle sensor staleness Cramnet: Camera-radar fusion with ray-constrained cross-attention for robust 3d object detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.319851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f6fbb78-3ff2-4234-b256-76a18ae609ee · outbound

This paper cites Pointpillars: Fast encoders for object de- tection from point clouds.

Robust sensor fusion against on-vehicle sensor staleness Pointpillars: Fast encoders for object de- tection from point clouds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.298524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5942d93-055e-4069-a5e2-e5b4ff537609 · outbound

This paper cites Bevfusion: A simple and robust lidar- camera fusion framework.Advances in Neural Information Processing Systems, 35:10421–10434, 2022.

Robust sensor fusion against on-vehicle sensor staleness Bevfusion: A simple and robust lidar- camera fusion framework.Advances in Neural Information Processing Systems, 35:10421–10434, 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.277052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 131e3017-ad08-459f-a2a1-016358eb6af4 · outbound

This paper cites Feature pyramid networks for object de- tection.

Robust sensor fusion against on-vehicle sensor staleness Feature pyramid networks for object de- tection

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.256879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 204016f9-0013-4172-8f94-228ee8fcce74 · outbound

This paper cites The Matter of Time -- A General and Efficient System for Precise Sensor Synchronization in Robotic Computing.

Robust sensor fusion against on-vehicle sensor staleness The Matter of Time -- A General and Efficient System for Precise Sensor Synchronization in Robotic Computing

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:21:10.044022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1bee2ac2-9b3e-4b03-af61-8b4d8aab23da · outbound

This paper cites Mohta et al.

Robust sensor fusion against on-vehicle sensor staleness Mohta et al

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.233247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d9da8fb-d7e8-444b-aae8-bee91160694b · outbound

This paper cites A general approach to spatiotemporal calibration in multisensor systems.IEEE Transactions on Robotics, 32(2):383–398, 2016.

Robust sensor fusion against on-vehicle sensor staleness A general approach to spatiotemporal calibration in multisensor systems.IEEE Transactions on Robotics, 32(2):383–398, 2016

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.209634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6be20b01-7297-4305-bd6f-43df95fd713a · outbound

This paper cites Principles of modern radar.

Robust sensor fusion against on-vehicle sensor staleness Principles of modern radar

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.180320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5261a097-f168-4efc-9382-7736a2e6e826 · outbound

This paper cites Rggnet: Tolerance aware lidar-camera on- line calibration with geometric deep learning and generative model.IEEE Robotics and Automation Letters, 5(4):6956– 6963, 2020.

Robust sensor fusion against on-vehicle sensor staleness Rggnet: Tolerance aware lidar-camera on- line calibration with geometric deep learning and generative model.IEEE Robotics and Automation Letters, 5(4):6956– 6963, 2020

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.153727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2abc3af-b773-4ab6-9470-aea70a078c29 · outbound

This paper cites Licas3: A simple lidar–camera self- supervised synchronization method.IEEE Transactions on Robotics, 38(5):3203–3218, 2022.

Robust sensor fusion against on-vehicle sensor staleness Licas3: A simple lidar–camera self- supervised synchronization method.IEEE Transactions on Robotics, 38(5):3203–3218, 2022

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:21:10.124429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46d1b222-e74c-4f73-bdd5-6cd49c176ace · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

Robust sensor fusion against on-vehicle sensor staleness DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:21:09.932794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.