Paper Citation Record · LEDGER

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix

As of 17 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2505.08228.

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

pith.paper-citation-record.v1
2505.08228 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:31.897508Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

19 of 19 outbound references displayed

verified exact0
verified fuzzy9
unresolved9
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ece5cb6a-fbe6-44c1-910a-b921384e5574 · outbound

This paper cites Autonomous driving system: a comprehensive sur- vey,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Autonomous driving system: a comprehensive sur- vey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.352048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 775ea904-2f8d-42f5-88b4-a12cb2fe234d · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.456059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee36a6f-fd05-4045-8ad9-54fad3dc8e16 · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix YOLOv10: Real-Time End-to-End Object Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.491507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc12b40-2d61-4f11-ba21-05dbdbe4eec2 · outbound

This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix InstructPix2Pix: Learning to Follow Image Editing Instructions

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.519796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01efcd9-42be-4f88-8cf5-89cd289dadcc · outbound

This paper cites Road Vehicles — Functional Safety (Edition 2) , 2018.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Road Vehicles — Functional Safety (Edition 2) , 2018

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.336608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 29f2a15b-6b67-4179-9ca1-01173a692027 · outbound

This paper cites Road Vehicles — Safety of the Intended Functionality , 2022.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Road Vehicles — Safety of the Intended Functionality , 2022

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.321116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3feb3fb-5c00-4d8c-befe-1a1dd0037b5a · outbound

This paper cites Road Vehicles — Safety and Artificial Intelligence, 2024.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Road Vehicles — Safety and Artificial Intelligence, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.303659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30cf686b-537f-43c5-8a29-5b2c98ab6188 · outbound

This paper cites AI-FSM: Towards Functional Safety Management for Artificial Intelligence-based Critical Systems,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix AI-FSM: Towards Functional Safety Management for Artificial Intelligence-based Critical Systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.284460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d0e82db-9222-4cff-bc87-025644748ad8 · outbound

This paper cites A comprehensive review of YOLO architectures in computer vision: from YOLOv1 to YOLOv8 and YOLO-NAS,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix A comprehensive review of YOLO architectures in computer vision: from YOLOv1 to YOLOv8 and YOLO-NAS,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.686895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ae6897-91ba-4c25-ac53-a00b6e50e3e0 · outbound

This paper cites Diffusion models: a comprehensive survey of methods and applications,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Diffusion models: a comprehensive survey of methods and applications,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.267703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b67f4dff-98b9-4c45-888a-7349b7353e5f · outbound

This paper cites Denoising diffusion probabilistic models,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Denoising diffusion probabilistic models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.249535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6ba566ef-9e52-4e21-bca0-2dd178b78853 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix High-Resolution Image Synthesis with Latent Diffusion Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.868738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aebe23d-6d8a-41be-8f2c-d9d78c13c72c · outbound

This paper cites CARLA: An Open Urban Driving Simulator.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix CARLA: An Open Urban Driving Simulator

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.872960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2b32015-ce69-47e7-9463-78d27f205437 · outbound

This paper cites Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems – VEHITS,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems – VEHITS,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.161866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb438a7e-091f-48f9-9100-ab2035decf4a · outbound

This paper cites BDD100K: a diverse driving dataset for heterogeneous multitask learning,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix BDD100K: a diverse driving dataset for heterogeneous multitask learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:03:32.144837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbfe59c3-ebb7-4f95-8734-f66f16611bf6 · outbound

This paper cites ACDC: the adverse conditions dataset with cor- respondences for robust semantic driving scene perception,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix ACDC: the adverse conditions dataset with cor- respondences for robust semantic driving scene perception,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.888026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6778de42-8888-42e4-a1c6-e0d3195cbe39 · outbound

This paper cites scikit-image: image processing in Python,.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix scikit-image: image processing in Python,

Reference 17

Resolution: malformed identifier; no resolver link, observed 2026-08-15T22:03:31.892551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca197fda-07d5-4f83-87aa-4f566390d357 · outbound

This paper cites Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Finetuned Multimodal Language Models Are High-Quality Image-Text Data Filters

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.897508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c5c7d3-c2e0-4516-a0d2-c888be83becc · outbound

This paper cites Denoising Diffusion Probabilistic Models.

Object detection in adverse weather conditions for autonomous vehicles using Instruct Pix2Pix Denoising Diffusion Probabilistic Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:31.863236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.