Paper Citation Record · LEDGER

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2506.02554.

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

pith.paper-citation-record.v1
2506.02554 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:27:02.073952Z

measured 30 of 30 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

30 of 30 outbound references displayed

verified exact0
verified fuzzy24
unresolved5
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4adf7ff7-48c4-46a7-a91a-a3e0bc84305d · outbound

This paper cites ”Uncertainty-aware model-based offline reinforcement learning for automated driving.” RA-L, 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Uncertainty-aware model-based offline reinforcement learning for automated driving.” RA-L, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.497453Z

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 7b821193-8881-4295-87b2-068cd9d41277 · outbound

This paper cites ”Multi-modality 3D object detection in autonomous driving: A review.” Neurocomputing, 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Multi-modality 3D object detection in autonomous driving: A review.” Neurocomputing, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.483669Z

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 a347a922-58da-4408-808b-d8a28101a96d · outbound

This paper cites ”Multi-sensor data fusion for real-time multi-object tracking.” Processes 11.2: 501, 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Multi-sensor data fusion for real-time multi-object tracking.” Processes 11.2: 501, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.470552Z

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 ed416fb9-6ac6-42d4-b5e5-8b8d3b50a872 · outbound

This paper cites Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:01.959433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 282779e9-6ffc-4396-aeb2-5c81d14026c9 · outbound

This paper cites ”Transformer-based sensor fusion for autonomous driving: A survey.” ICCV , 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Transformer-based sensor fusion for autonomous driving: A survey.” ICCV , 2023

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.457248Z

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 b3c25733-5748-4e37-9c0d-565e59012500 · outbound

This paper cites ”3d multi-object tracking: A baseline and new evaluation metrics.” IROS, 2020.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”3d multi-object tracking: A baseline and new evaluation metrics.” IROS, 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.443539Z

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 87857c40-ba6b-4d5e-8f2f-38c6f1c9f256 · outbound

This paper cites ”Simpletrack: Understanding and rethinking 3d multi- object tracking.” ECCV , 2022.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Simpletrack: Understanding and rethinking 3d multi- object tracking.” ECCV , 2022

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.430189Z

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 1ded1d2b-867a-4831-88c5-a85d7b031b34 · outbound

This paper cites ”Object-level fusion for surround environment percep- tion in automated driving applications”.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Object-level fusion for surround environment percep- tion in automated driving applications”

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.417157Z

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 e8f10334-2ba1-4043-8389-2319ce6fa03c · outbound

This paper cites an unresolved cited work.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:27:02.403849Z

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 85f9a3d5-8de7-4ed1-bc75-95f8f866e774 · outbound

This paper cites ”Vehicle detection, tracking and behavior analysis in urban driving environments using road context.” ICRA, 2018.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Vehicle detection, tracking and behavior analysis in urban driving environments using road context.” ICRA, 2018

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.390929Z

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 606e4624-d145-4c21-b0b5-d3f3da4a2fd5 · outbound

This paper cites Shrivastava.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers Shrivastava

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.377394Z

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 4c8a15d2-5a0a-4d4d-b255-6299498f16d3 · outbound

This paper cites ”nuscenes: A multimodal dataset for autonomous driving.” CVPR, 2020.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”nuscenes: A multimodal dataset for autonomous driving.” CVPR, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.365238Z

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 08816c82-7c0b-40ef-be83-2d5cb12bbabe · outbound

This paper cites ”Multi-modal sensor fusion and object tracking for autonomous racing.” IEEE Trans.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Multi-modal sensor fusion and object tracking for autonomous racing.” IEEE Trans

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.351577Z

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 acdb3788-3e78-428e-aa8d-cc3844838653 · outbound

This paper cites ”End-to-end object detection with transformers.” ECCV , 2020.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”End-to-end object detection with transformers.” ECCV , 2020

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.337778Z

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 f2c91572-9077-4806-a3a9-49f6579442a6 · outbound

This paper cites ”Bevfusion: A simple and robust lidar-camera fusion framework.” NeurIPS, 2022.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Bevfusion: A simple and robust lidar-camera fusion framework.” NeurIPS, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.324305Z

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 33ca3163-de92-4cbd-95f0-ff3c675ec992 · outbound

This paper cites ”A comparative review on multi-modal sensors fusion based on deep learning.” Signal Processing, 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”A comparative review on multi-modal sensors fusion based on deep learning.” Signal Processing, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.311106Z

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 a0fb2a14-c6b3-430a-8607-7dee84186acd · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:02.015821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07c51651-5fca-4b0a-8878-4d78bea52a12 · outbound

This paper cites UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:27:02.021151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32e2deef-65ad-4834-89a0-b266906504a3 · outbound

This paper cites ”Transformer-based models for automatic iden- tification of argument relations: A cross-domain evaluation.” IEEE Intelligent Systems, 2021.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Transformer-based models for automatic iden- tification of argument relations: A cross-domain evaluation.” IEEE Intelligent Systems, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.297880Z

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 946689a3-86bf-4471-91dd-61eef9f173ab · outbound

This paper cites ”Deep transfer learning for intelligent vehicle perception: A survey.” Green Energy and Intelligent Transportation, 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Deep transfer learning for intelligent vehicle perception: A survey.” Green Energy and Intelligent Transportation, 2023

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.283542Z

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 f5b8cf7d-3c1e-4c31-8fcf-2ead9b5aa77e · outbound

This paper cites ”IR-MCL: Implicit Representation-Based Online Global Localization.” RA-L, 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”IR-MCL: Implicit Representation-Based Online Global Localization.” RA-L, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.270376Z

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 85c1fe88-6b1c-4906-9c7d-53e47e49f064 · outbound

This paper cites ”The Hungarian method for the assignment problem.” NRL, 1955.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”The Hungarian method for the assignment problem.” NRL, 1955

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.257284Z

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 3dfabb6f-7eda-43f7-82ad-060e990b9533 · outbound

This paper cites ”Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression.” CVPR, 2019.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression.” CVPR, 2019

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.244178Z

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 34228727-d6bb-4c0b-ac63-cdca03b3b432 · outbound

This paper cites S., et al.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers S., et al

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.230703Z

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 5bcdf847-465d-43ea-85c0-40eccb94e2cd · outbound

This paper cites Blackman and R.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers Blackman and R

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.217119Z

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 65a654e0-1fe7-45a2-9d52-7bdc54e1c013 · outbound

This paper cites an unresolved cited work.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:27:02.202513Z

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 54a7f885-2e93-4d84-b9c2-548c305a0c3b · outbound

This paper cites ”A comparative analysis of object detection metrics with a companion open-source toolkit.” Electronics 10.3, 2021.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”A comparative analysis of object detection metrics with a companion open-source toolkit.” Electronics 10.3, 2021

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T11:27:02.189407Z

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 9cebfc9a-96b1-49c7-a569-846931bcbc76 · outbound

This paper cites H., and G.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers H., and G

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.175989Z

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 d0c2b6b2-4479-4c10-a020-812dae9b2463 · outbound

This paper cites ”Class-balanced loss based on effective number of samples.” CVPR, 2019.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Class-balanced loss based on effective number of samples.” CVPR, 2019

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.162697Z

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 f98208f7-f3e0-411d-bdca-6e2a00230b07 · outbound

This paper cites ”Ms3d: Leveraging multiple detectors for unsupervised domain adaptation in 3d object detection.” ITSC, 2023.

HiLO: High-Level Object Fusion for Autonomous Driving using Transformers ”Ms3d: Leveraging multiple detectors for unsupervised domain adaptation in 3d object detection.” ITSC, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:27:02.149118Z

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.

Pith citing papers

No inbound Pith citation observations are available.