Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2412.12349.

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

pith.paper-citation-record.v1
2412.12349 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:12:26.511450Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T12:27:40.508985Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy16
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb0a16e4-fd20-4b4f-b147-ba100bb68c7b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.373704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21f4b98c-702c-4cd1-90a2-f2f4593275a6 · outbound

This paper cites Fast r-cnn,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Fast r-cnn,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.967130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 02af7677-f0bd-499c-ac5f-998d6218147c · outbound

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

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset You only look once: Unified, real-time object detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.945336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 109b1032-ceb2-49c6-8538-78272925149c · outbound

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

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.393342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ae336b-2010-4bed-b1e8-cad9a6798c05 · outbound

This paper cites YOLOv3: An Incremental Improvement.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset YOLOv3: An Incremental Improvement

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.399576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0397b220-8946-4332-ad1a-d89ad2b0f66e · outbound

This paper cites Unbiased look at dataset bias,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Unbiased look at dataset bias,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.925964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2e55dc6-d1a8-4f44-a6db-4d72bc437ba3 · outbound

This paper cites Recognition in terra incognita,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Recognition in terra incognita,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.906003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ab7074d4-8cdb-47e1-9d24-6596570b3563 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.416965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2662da54-60bd-46a2-be82-69ea0b09da0a · outbound

This paper cites Vision meets robotics: The kitti dataset,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Vision meets robotics: The kitti dataset,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.422255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85aaafaf-a46d-4ca0-8c21-6129e9450423 · outbound

This paper cites KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.428312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f4453f-770b-4046-84c0-234832c29af5 · outbound

This paper cites Trafficpredict: Trajectory prediction for heterogeneous traffic-agents,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Trafficpredict: Trajectory prediction for heterogeneous traffic-agents,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.846252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85183452-31c2-43f2-b5cc-63cf75bc9ea6 · outbound

This paper cites Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Pie: A large-scale dataset and models for pedestrian intention estimation and trajectory prediction,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.829327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bd6a32f4-9194-484b-84b2-3a0f37d68526 · outbound

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

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset nuScenes: A multimodal dataset for autonomous driving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.446760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b88e834b-5a44-4138-87f4-bfff03dafc34 · outbound

This paper cites Large scale interactive motion forecasting for autonomous driving : The waymo open motion dataset,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Large scale interactive motion forecasting for autonomous driving : The waymo open motion dataset,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.812368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 552959d6-18aa-437a-a191-52853d952e8b · outbound

This paper cites Argoverse: 3d tracking and forecasting with rich maps,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Argoverse: 3d tracking and forecasting with rich maps,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.794327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a99bad5-84ff-4afc-8f83-2e55be33b928 · outbound

This paper cites One thousand and one hours: Self- driving motion prediction dataset,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset One thousand and one hours: Self- driving motion prediction dataset,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.777141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 112394f2-73dc-438d-a6ba-5f30c950dc7d · outbound

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

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.469358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e6270b-6d8a-419e-bbec-3ebb4e8cff3f · outbound

This paper cites Shift: A synthetic driving dataset for continuous multi-task domain adaptation,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Shift: A synthetic driving dataset for continuous multi-task domain adaptation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.748383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f19fdd1-406e-4780-9d03-ea917def10fb · outbound

This paper cites Virtual kitti 2,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Virtual kitti 2,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:26.480054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e281dd8b-273e-472e-807d-ab7344c71d94 · outbound

This paper cites Unsupervised domain adaptation with residual transfer networks,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Unsupervised domain adaptation with residual transfer networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.717930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8bf96a6b-6954-45ad-8d63-572172a2c847 · outbound

This paper cites Adversarial discrim- inative domain adaptation,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Adversarial discrim- inative domain adaptation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.699235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 047d33a8-8fbe-4af6-9dd0-5140b4a06db4 · outbound

This paper cites Domain generalization for object recognition with multi-task autoencoders,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Domain generalization for object recognition with multi-task autoencoders,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.680650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 399d4ea2-9fe1-401f-b4f0-fee481b58ff6 · outbound

This paper cites Yolov8 documentation,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Yolov8 documentation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.662243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fe067a00-f1fa-4e84-bf26-2108842faac0 · outbound

This paper cites Rt-detr: Real-time detection transformer,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Rt-detr: Real-time detection transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.645101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 31f6363a-d135-4207-9520-32aa7bc40911 · outbound

This paper cites Yolo-nas documentation,.

Domain Generalization in Autonomous Driving: Evaluating YOLOv8s, RT-DETR, and YOLO-NAS with the ROAD-Almaty Dataset Yolo-nas documentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:12:26.624097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

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

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.