Paper Citation Record · LEDGER

Object Detection in Autonomous Vehicles: Status and Open Challenges

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2201.07706.

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

pith.paper-citation-record.v1
2201.07706 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:22:57.140935Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:43:25.415697Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 38c7d58f-f06d-4d59-b771-ef0610f44e4d · inbound

A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices cites this paper.

A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:43:25.418125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32f04cb6-74de-4d02-ab6e-0d2d28e140f6 · inbound

Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks cites this paper.

Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T11:22:57.140935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe6a3936-355a-4c15-804a-4f83592d92bc · inbound

Evaluating the Adversarial Robustness of Detection Transformers cites this paper.

Evaluating the Adversarial Robustness of Detection Transformers Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:16.680677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0c287d2-b5cc-42bd-98cd-bcb776dcdaed · inbound

UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles cites this paper.

UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:45:20.870973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0cfa74a-6202-4498-951b-2a129ffe51e9 · inbound

MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection cites this paper.

MAFE R-CNN: Selecting More Samples to Learn Category-aware Features for Small Object Detection Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:04:50.888883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df2c2351-0121-4c88-ad56-0d8228135e14 · inbound

SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification cites this paper.

SemSegBench & DetecBench: Benchmarking Reliability and Generalization Beyond Classification Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:08.477565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d31906-193f-46d9-83dd-0992539f457a · inbound

How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World cites this paper.

How stealthy is stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:24:41.547637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d74f97b-7b9b-4174-a3f8-38752fb782a1 · inbound

Task-Specific Zero-shot Quantization-Aware Training for Object Detection cites this paper.

Task-Specific Zero-shot Quantization-Aware Training for Object Detection Object Detection in Autonomous Vehicles: Status and Open Challenges

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:05:21.380181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.