Paper Citation Record · LEDGER

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.27058.

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

pith.paper-citation-record.v1
2607.27058 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T12:27:40.619018Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

33 of 33 outbound references displayed

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verified fuzzy0
unresolved33
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fbd19ee3-f665-4c67-b9da-aa2cf713af6e · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.481552Z

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Unavailable: canonical work link unavailable.

Observation cb859272-30cf-4f59-a52f-a0c89b685726 · outbound

This paper cites You only look once: Unified, real-time object detection.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation You only look once: Unified, real-time object detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.484952Z

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Observation 489731ec-727d-41ba-9e8b-59b3276316be · outbound

This paper cites Yolo9000: better, faster, stronger.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Yolo9000: better, faster, stronger

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.487941Z

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Observation 936ba9be-cf43-42be-a8fa-73a8aa68f745 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation YOLOv3: An Incremental Improvement

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.490897Z

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Observation dad0a04a-1e05-4d52-b183-3850ac8b6f55 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.493898Z

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Observation d3979da1-480f-4812-ba16-edd1ec27aa39 · outbound

This paper cites Yolov5 https://github.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Yolov5 https://github

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.497373Z

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Observation b44aa081-edc2-4d3c-9b62-38f5c0110ff2 · outbound

This paper cites End-to-end object detection with transformers.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation End-to-end object detection with transformers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.500404Z

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Unavailable: canonical work link unavailable.

Observation 5e28a76e-b9d0-4501-b31e-383b6f063c0c · outbound

This paper cites Detrs beat yolos on real- time object detection.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Detrs beat yolos on real- time object detection

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.503445Z

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Observation b976e6ae-77e9-41ab-a890-0ff5cd73cc17 · outbound

This paper cites Evaluating yolo architectures: Implications for real-time vehicle detection in urban environments of bangladesh.arXiv preprint arXiv:2509.05652, 2025.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Evaluating yolo architectures: Implications for real-time vehicle detection in urban environments of bangladesh.arXiv preprint arXiv:2509.05652, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.506120Z

Source-reported events for the cited work

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Observation 15839f5e-bf98-4ba7-8691-b5d210382c4e · outbound

This paper cites Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.508985Z

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Observation 6f162f5a-da20-43ef-bc7c-6e8089c4b272 · outbound

This paper cites First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.511671Z

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Observation 514480d8-2313-4740-9d8e-2f6e765fd2ae · outbound

This paper cites Revisiting unreasonable effectiveness of data in deep learning era.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Revisiting unreasonable effectiveness of data in deep learning era

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.514363Z

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Observation 876a20b0-2e09-4137-9d61-c836ee05bdc9 · outbound

This paper cites Vision meets robotics: The kitti dataset.The international journal of robotics research, 32(11):1231–1237, 2013.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Vision meets robotics: The kitti dataset.The international journal of robotics research, 32(11):1231–1237, 2013

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.517124Z

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Observation 36a44a1f-8f9f-457f-ac97-e0461acb6e41 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Bdd100k: A diverse driving dataset for heterogeneous multitask learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.519691Z

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Observation 9221e0d6-3124-49ac-bceb-9c4f0e3cdc79 · outbound

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

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation nuscenes: A multimodal dataset for autonomous driving

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.522224Z

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Observation 97bfb156-950a-41be-873d-2ac5207363f6 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Scalability in perception for autonomous driving: Waymo open dataset

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.524908Z

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Observation 10a4c948-27ec-4baa-99dd-3185bfec0c9e · outbound

This paper cites Semantic segmentation network for unstructured rural roads based on improved sppm and fused multiscale features.Applied Sciences, 14(19):8739, 2024.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Semantic segmentation network for unstructured rural roads based on improved sppm and fused multiscale features.Applied Sciences, 14(19):8739, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.527111Z

Source-reported events for the cited work

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Observation cd18c12b-2202-48b9-84e4-c34df76291f1 · outbound

This paper cites Construction and enhancement of a rural road instance segmentation dataset based on an improved stylegan2-ada.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Construction and enhancement of a rural road instance segmentation dataset based on an improved stylegan2-ada

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.529543Z

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Unavailable: canonical work link unavailable.

Observation e5a56f37-b76d-44ed-95d6-bae3124f1cc1 · outbound

This paper cites D$^2$-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation D$^2$-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.549158Z

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Observation b4a26dd6-a23d-47ae-9c85-ece36a00ad6d · outbound

This paper cites M4sfwd: A multi-faceted synthetic dataset for remote sensing forest wildfires detection.Expert Systems with Applications, 248:123489, 2024.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation M4sfwd: A multi-faceted synthetic dataset for remote sensing forest wildfires detection.Expert Systems with Applications, 248:123489, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.568389Z

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Unavailable: canonical work link unavailable.

Observation 80a2415f-2939-4f7a-9087-3a17c94042cd · outbound

This paper cites Rope3d: The roadside perception dataset for autonomous driving and monocular 3d object detection task.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Rope3d: The roadside perception dataset for autonomous driving and monocular 3d object detection task

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.584744Z

Source-reported events for the cited work

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Observation 88a93677-f25e-433d-bc66-2bc16176bfd8 · outbound

This paper cites Detection and tracking meet drones chal- lenge.IEEE transactions on pattern analysis and machine intelligence, 44(11):7380–7399, 2021.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Detection and tracking meet drones chal- lenge.IEEE transactions on pattern analysis and machine intelligence, 44(11):7380–7399, 2021

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.588048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afeb4676-4a03-4eb8-ac8e-e11ec30e0011 · outbound

This paper cites Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Enhancing Object Detection Accuracy in Autonomous Vehicles Using Synthetic Data

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.590747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ef06742-ee98-47cc-9fb0-06fed4f68eba · outbound

This paper cites Experimental results on synthetic data generation in unreal engine 5 for real-world object detection.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Experimental results on synthetic data generation in unreal engine 5 for real-world object detection

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.593537Z

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Observation dabd34d6-dd5c-471c-bf9a-720f8b188d6d · outbound

This paper cites Experimental study on using synthetic images as a portion of training dataset for object recognition in construction site.Buildings, 14(5):1454, 2024.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Experimental study on using synthetic images as a portion of training dataset for object recognition in construction site.Buildings, 14(5):1454, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.595866Z

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Observation e057188a-5c62-4c33-afaf-be907aad71f4 · outbound

This paper cites Optimizing object detection for maritime search and rescue: Progressive fine-tuning of yolov9 with real and synthetic data.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Optimizing object detection for maritime search and rescue: Progressive fine-tuning of yolov9 with real and synthetic data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.598808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd1221f-dee9-4bca-8f92-5aa796a49e42 · outbound

This paper cites Sim2real diffusion: Leveraging foundation vision language models for adaptive automated driving.IEEE Robotics and Automation Letters, 11(1):177– 184, 2025.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Sim2real diffusion: Leveraging foundation vision language models for adaptive automated driving.IEEE Robotics and Automation Letters, 11(1):177– 184, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.601499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb99efd2-a0cd-49e2-8923-2c81e7611a9c · outbound

This paper cites Synth it like kitti: Synthetic data generation for object detection in driving scenarios.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Synth it like kitti: Synthetic data generation for object detection in driving scenarios

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.603830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c09fa1-8c2e-4b61-9bee-a35cba6f796e · outbound

This paper cites Synthetic data for video surveillance applications of computer vision: A review.Interna- tional Journal of Computer Vision, 132(10):4473–4509, 2024.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Synthetic data for video surveillance applications of computer vision: A review.Interna- tional Journal of Computer Vision, 132(10):4473–4509, 2024

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.606182Z

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Observation e85c3e6e-2943-4bcb-8b20-dd5ea877fa70 · outbound

This paper cites Object detector differences when using synthetic and real training data: Mg ljungqvist et al.SN computer science, 4(3):302, 2023.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Object detector differences when using synthetic and real training data: Mg ljungqvist et al.SN computer science, 4(3):302, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.608422Z

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Observation b55643f7-6855-42b1-b5c7-3a4b9193f0b1 · outbound

This paper cites Pcgod: Enhancing object detection with synthetic data for scarce and sensitive computer vision tasks.IEEE Access, 2025.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Pcgod: Enhancing object detection with synthetic data for scarce and sensitive computer vision tasks.IEEE Access, 2025

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.610966Z

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Observation d9e540a9-4e93-4759-86f6-7c606b370e9d · outbound

This paper cites V olucapture: Multi- view synthetic data capture in unreal engine.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation V olucapture: Multi- view synthetic data capture in unreal engine

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.616373Z

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Observation f54cf2f9-88d9-4ba6-8234-0611a1a60667 · outbound

This paper cites Syndra: Synthetic dataset for railway applications.

Object Detection for Autonomous Driving in Chinese Rural Scenes: An Experimental Study on Real-Synthetic Data Mixing and Model Evaluation Syndra: Synthetic dataset for railway applications

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-30T12:27:40.619018Z

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Pith citing papers

No inbound Pith citation observations are available.