Pith. sign in

Paper Citation Record · LEDGER

Generate Realistic Test Scenes for V2X Communication Systems

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.07419.

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

pith.paper-citation-record.v1
2506.07419 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:49.553234Z

measured 52 of 52 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

52 of 52 outbound references displayed

  • verified exact4
  • verified fuzzy23
  • unresolved22
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 263df85d-2539-4923-805b-e03cb03eae00 · outbound

This paper cites Autonomous driving system: A comprehensive survey,.

Generate Realistic Test Scenes for V2X Communication Systems Autonomous driving system: A comprehensive survey,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:51.065453Z

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.

source=pdf_text observed=2026-08-07T05:40:49.365029Z digest=sha256:40a2c8db8e0e71af994a9b5e367b9f1aa9653b8b922d7fed5ce7f3769f1374ad

Observation 1c66cc4a-04f3-4f72-991a-10a75d570db1 · outbound

This paper cites Lidar for autonomous driving: The principles, challenges, and trends for automotive lidar and per- ception systems,.

Generate Realistic Test Scenes for V2X Communication Systems Lidar for autonomous driving: The principles, challenges, and trends for automotive lidar and per- ception systems,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:51.053946Z

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.

source=pdf_text observed=2026-08-07T05:40:49.373931Z digest=sha256:50a56858ac3a214ce6b3e24906d5ed79673e9458365a03984c11866ccf813f8c

Observation 6a620373-67f9-4895-bef7-59e19bbca33a · outbound

This paper cites Deep learning-based perception systems for autonomous driving: A comprehensive survey,.

Generate Realistic Test Scenes for V2X Communication Systems Deep learning-based perception systems for autonomous driving: A comprehensive survey,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:51.041844Z

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.

source=pdf_text observed=2026-08-07T05:40:49.378275Z digest=sha256:fc07f784f661c8eef141aa301e43e6dd2c520d9c4f31c075d6821b4d19edbf2a

Observation 81cbcff9-44c8-45ea-b853-d20b4e7a3a50 · outbound

This paper cites Tesla’s autopilot was engaged when model 3 crashed into truck, report states,.

Generate Realistic Test Scenes for V2X Communication Systems Tesla’s autopilot was engaged when model 3 crashed into truck, report states,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:51.030287Z

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.

source=pdf_text observed=2026-08-07T05:40:49.382369Z digest=sha256:fd1987a5a00cb440c08d8861a5be1b0d60768a739ed05a3f0937873a979ec85f

Observation 29d9549f-84c7-425b-8723-a74d38fe1942 · outbound

This paper cites Safety of perception systems for automated driving: A case study on apollo,.

Generate Realistic Test Scenes for V2X Communication Systems Safety of perception systems for automated driving: A case study on apollo,

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T05:40:49.681041Z

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.

source=pdf_text observed=2026-08-07T05:40:49.386426Z digest=sha256:5fcb300ff8a9e765227dd0b918c5208c0ae46f0c6eb083a981c61fcfed28605d

Observation 59ad2e91-466b-4e00-a93d-aa0ee0307ad9 · outbound

This paper cites Cooperative perception technology of autonomous driving in the internet of vehicles environment: A review,.

Generate Realistic Test Scenes for V2X Communication Systems Cooperative perception technology of autonomous driving in the internet of vehicles environment: A review,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:51.018177Z

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.

source=pdf_text observed=2026-08-07T05:40:49.390455Z digest=sha256:bd8ce206963491ad24021328be1cd2b74132d92ffaed2dea968f25896d995031

Observation 2b3cf367-cbee-433d-8a6c-ea08026915ad · outbound

This paper cites Macp: Efficient model adaptation for cooperative perception,.

Generate Realistic Test Scenes for V2X Communication Systems Macp: Efficient model adaptation for cooperative perception,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:51.005465Z

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.

source=pdf_text observed=2026-08-07T05:40:49.394921Z digest=sha256:4b49416c91a8f17f6a181e956b1354ee99dee424bbe72b92974d1cff7a6eb2db

Observation e70fe31b-6fb1-4c3d-910b-d4617ffaf0ef · outbound

This paper cites Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities.

Generate Realistic Test Scenes for V2X Communication Systems Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.398553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.398553Z digest=sha256:ed98c0d61b75de02d79f61df9abaef80a8a3323956b18a4013b34382cdbb7090

Observation 14cd4dcd-9fe6-40ee-aa93-b59b52313af3 · outbound

This paper cites Astri and baidu apollo collaborate to promote the implementation of c-v2x technology in hong kong,.

Generate Realistic Test Scenes for V2X Communication Systems Astri and baidu apollo collaborate to promote the implementation of c-v2x technology in hong kong,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.994347Z

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.

source=pdf_text observed=2026-08-07T05:40:49.406586Z digest=sha256:54803d765e569f8bddd0b1f9405812c10da2ed226a60c11524cd26af8b63cea3

Observation 6ffaef81-9357-4755-b1ee-8e44d55eaf1c · outbound

This paper cites Available: https://doi.org/10.48550/arXiv.2401.

Generate Realistic Test Scenes for V2X Communication Systems Available: https://doi.org/10.48550/arXiv.2401

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.402853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.402853Z digest=sha256:fcf399414d5cca822cf53150c76498de5e3d788bef8ac29463863b25c128f8bd

Observation cd9b64ee-c30f-4ea9-82e4-37c274f31871 · outbound

This paper cites Collaborative perception in autonomous driving: Methods, datasets, and challenges,.

Generate Realistic Test Scenes for V2X Communication Systems Collaborative perception in autonomous driving: Methods, datasets, and challenges,

Reference 11

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T05:40:50.769645Z

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.

source=pdf_text observed=2026-08-07T05:40:49.414017Z digest=sha256:222d47702ec62e90ee3afefac727a673d73a017c0c122c69e88bd9b2724373da

Observation e91a4fe2-0bd9-4f69-9bb9-17c32f99e5d0 · outbound

This paper cites V2v and v2x technology paves the way for autonomous driv- ing,.

Generate Realistic Test Scenes for V2X Communication Systems V2v and v2x technology paves the way for autonomous driv- ing,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.982693Z

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.

source=pdf_text observed=2026-08-07T05:40:49.410398Z digest=sha256:865060b489d81df214887c9c595369a5dfe7deb38971d1a203607a83f6d2cea6

Observation cfe93606-da38-4eb6-a1b5-b9cc671cc328 · outbound

This paper cites V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,.

Generate Realistic Test Scenes for V2X Communication Systems V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.421570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.421570Z digest=sha256:fbca50a9707a125e78a77f87310391b697b116140cd223dad3fc1abbf4fdab18

Observation 02b71184-bcc2-4dd9-89cc-b03b01a7c53e · outbound

This paper cites Vehicle-to-Everything Cooperative Perception for Autonomous Driving.

Generate Realistic Test Scenes for V2X Communication Systems Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.417748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.417748Z digest=sha256:0a317862d568117278eab99e217a55ce04e42aabd6095c1b5aee43ae39f2e4d6

Observation bbe96766-17dc-477e-9c7c-7cfe8c6cb2dd · outbound

This paper cites Cootest: An automated testing approach for V2X communication systems,.

Generate Realistic Test Scenes for V2X Communication Systems Cootest: An automated testing approach for V2X communication systems,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.428666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.428666Z digest=sha256:0dc036c9bd3b1856680e9c81fdde895cce6bc0aaafdfc138f0912b6fcf3a4c65

Observation 5983581d-f62d-4862-8f3a-8c7ea7292280 · outbound

This paper cites DAIR-V2X: A large- scale dataset for vehicle-infrastructure cooperative 3d object detection,.

Generate Realistic Test Scenes for V2X Communication Systems DAIR-V2X: A large- scale dataset for vehicle-infrastructure cooperative 3d object detection,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.425063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.425063Z digest=sha256:c682b5124404c2e627551f2511e7d1ba615858136ce1800f6533862153240fb0

Observation 89c2b360-b6d9-41c0-8270-63637f9788fe · outbound

This paper cites Lirtest: augmenting lidar point clouds for automated testing of autonomous driving systems,.

Generate Realistic Test Scenes for V2X Communication Systems Lirtest: augmenting lidar point clouds for automated testing of autonomous driving systems,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.435651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.435651Z digest=sha256:290f2711058010a2b8f61fcf305cab5520596b4be25257c9e816e8ce74f97c0f

Observation 9f357450-b035-4997-8abc-c1348491162f · outbound

This paper cites Taulim: Test data augmentation of lidar point cloud by metamorphic relation,.

Generate Realistic Test Scenes for V2X Communication Systems Taulim: Test data augmentation of lidar point cloud by metamorphic relation,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.432138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.432138Z digest=sha256:2aac5612db70fa8e9d16b14c10a05a61441ec2d20a97bd90d94fe3265cd1bb85

Observation 3102b26f-830f-442b-a848-c8b4884404d0 · outbound

This paper cites Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication,.

Generate Realistic Test Scenes for V2X Communication Systems Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.970982Z

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.

source=pdf_text observed=2026-08-07T05:40:49.442991Z digest=sha256:730d28b98c85920799d0345cc34a37300772779d38544c084d91b33f3178d819

Observation 8c02d5cf-8ba2-463a-928c-9d43b80c92e5 · outbound

This paper cites Generating realistic and diverse tests for lidar-based perception systems,.

Generate Realistic Test Scenes for V2X Communication Systems Generating realistic and diverse tests for lidar-based perception systems,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.439523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.439523Z digest=sha256:71eea32f5b82b407a62f946a6693d02f2f80dcccdb06bf18044fa4a0046e38d2

Observation 1bdfb32c-f9c5-492d-84d1-5403533545d9 · outbound

This paper cites V2x-communication- aided autonomous driving: System design and experimental vali- dation,.

Generate Realistic Test Scenes for V2X Communication Systems V2x-communication- aided autonomous driving: System design and experimental vali- dation,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.947017Z

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.

source=pdf_text observed=2026-08-07T05:40:49.450043Z digest=sha256:16e6652943cf3c0326d49b43ffd6bf4834a9f4cab478dc6b83f8cf795e80f7f5

Observation a11ada0c-40b3-4f74-8dbc-3affaf9310ea · outbound

This paper cites Enhancements of v2x communication in support of cooperative autonomous driving,.

Generate Realistic Test Scenes for V2X Communication Systems Enhancements of v2x communication in support of cooperative autonomous driving,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.959014Z

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.

source=pdf_text observed=2026-08-07T05:40:49.446396Z digest=sha256:3b32aaf0306d2c7811a3c0fdb0cae980985b6e066485dffc29ff08dd0e7edc2b

Observation 97858076-a88f-45eb-97ae-032ea1604c12 · outbound

This paper cites Collaborative automated driv- ing: A machine learning-based method to enhance the accuracy of shared information,.

Generate Realistic Test Scenes for V2X Communication Systems Collaborative automated driv- ing: A machine learning-based method to enhance the accuracy of shared information,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.922433Z

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.

source=pdf_text observed=2026-08-07T05:40:49.457087Z digest=sha256:3ba32199fc4dc2a5f8563ce1e8a380832a79b50a99d1db42602914f02249dfb0

Observation 501106a6-ebc0-4f3c-96dd-1baabb0e12b4 · outbound

This paper cites Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,.

Generate Realistic Test Scenes for V2X Communication Systems Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.934898Z

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.

source=pdf_text observed=2026-08-07T05:40:49.453657Z digest=sha256:10f4ee2bb8e5a0d8381b046a6e50081fbb16a2d26804094d35177dff3466cdcd

Observation 928c9548-907f-4dea-9172-8e7a125aa66f · outbound

This paper cites V2vnet: Vehicle-to-vehicle communication for joint perception and prediction,.

Generate Realistic Test Scenes for V2X Communication Systems V2vnet: Vehicle-to-vehicle communication for joint perception and prediction,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.898348Z

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.

source=pdf_text observed=2026-08-07T05:40:49.464175Z digest=sha256:992c34f819808b3156f9bd597225c1c0477f2a00d7418e8403bb9797ea0c9fea

Observation 92e01247-abc2-4e20-a5ef-1db8710955ca · outbound

This paper cites F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,.

Generate Realistic Test Scenes for V2X Communication Systems F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.910495Z

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.

source=pdf_text observed=2026-08-07T05:40:49.460563Z digest=sha256:3aa7724fe275447947acfe109b50ca867a7317b257c0b96e589022e1aaed9dec

Observation 67a4aaef-45e0-4a06-a334-7f3ab2d865a9 · outbound

This paper cites Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds,.

Generate Realistic Test Scenes for V2X Communication Systems Salsanext: Fast, uncertainty-aware semantic segmentation of lidar point clouds,

Reference 27

Resolution
verified exact
doi, observed 2026-08-07T05:40:49.647046Z

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.

source=pdf_text observed=2026-08-07T05:40:49.471500Z digest=sha256:a643f8841dc2345b327884d532a99a12bc54d7792b43acb94a5ba484204c8811

Observation 1036d070-0cbc-4416-8e60-f06d3e82e248 · outbound

This paper cites A survey on perfor- mance metrics for object-detection algorithms,.

Generate Realistic Test Scenes for V2X Communication Systems A survey on perfor- mance metrics for object-detection algorithms,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.885930Z

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.

source=pdf_text observed=2026-08-07T05:40:49.468027Z digest=sha256:27de1b3b51011cbf42c8ef254f27b898f5069cf1f076f49ab99017f8d0776eac

Observation a412d511-ac99-4d18-9cc5-487a07c2f9a6 · outbound

This paper cites Common corruption robustness of point cloud detectors: Benchmark and enhancement,.

Generate Realistic Test Scenes for V2X Communication Systems Common corruption robustness of point cloud detectors: Benchmark and enhancement,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.860623Z

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.

source=pdf_text observed=2026-08-07T05:40:49.478293Z digest=sha256:dabbfd6fdce8628e28428f89b498af8b7f2d1d04a1fea553a6cf5e93d3810a10

Observation 6795e047-c059-44dc-9261-b2286b37d48a · outbound

This paper cites Train in germany, test in the USA: making 3d object detectors generalize,.

Generate Realistic Test Scenes for V2X Communication Systems Train in germany, test in the USA: making 3d object detectors generalize,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.873535Z

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.

source=pdf_text observed=2026-08-07T05:40:49.475007Z digest=sha256:cd41752ceacb8df961ec4f580e7e0ae03fab9b5ef1d0ce5f0a535b3da5681bdf

Observation 1f99f4af-d73c-4e83-93aa-7b8ada324bb0 · outbound

This paper cites Metamorphic testing: A review of challenges and opportunities,.

Generate Realistic Test Scenes for V2X Communication Systems Metamorphic testing: A review of challenges and opportunities,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.847446Z

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.

source=pdf_text observed=2026-08-07T05:40:49.485234Z digest=sha256:d5423df0726f3ce5f069db4f375840ff37de71d294764e2f8711873c169b397b

Observation 3ca52d90-d1ab-4a68-baa2-b3a27b95dd52 · outbound

This paper cites Cooperative perception and localization for cooperative driving,.

Generate Realistic Test Scenes for V2X Communication Systems Cooperative perception and localization for cooperative driving,

Reference 32

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:40:49.481738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.481738Z digest=sha256:afd575d2f94eab925e194fca9bec51ea1ee41ea8aa8e258308b6a97daef505c5

Observation b3af0a61-9681-4def-816d-9744397c7ba9 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Generate Realistic Test Scenes for V2X Communication Systems ShapeNet: An Information-Rich 3D Model Repository

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.492855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.492855Z digest=sha256:69c108e32ef4b20be538232668f05edb051c3a2490345047a54ca7d87f3ed0c9

Observation 65a6cacf-87ab-44c3-baf9-604e65197511 · outbound

This paper cites Metamorphic Testing: A New Approach for Generating Next Test Cases.

Generate Realistic Test Scenes for V2X Communication Systems Metamorphic Testing: A New Approach for Generating Next Test Cases

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.488863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.488863Z digest=sha256:51603a87b21fedcf072ce311e21d714c3755c48d81888766be331dde58e77f2c

Observation 028c89a7-44bc-48d0-a02e-c849e47419e5 · outbound

This paper cites Supplementary website,.

Generate Realistic Test Scenes for V2X Communication Systems Supplementary website,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.823123Z

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.

source=pdf_text observed=2026-08-07T05:40:49.500160Z digest=sha256:23775edc68e5d63e2160d60e863b2bb317ccde66d1f4b95b235b6b7c6cb3ca00

Observation ec9d0059-ff6a-4f46-9ccd-7a5473487c16 · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision trans- former,.

Generate Realistic Test Scenes for V2X Communication Systems V2x-vit: Vehicle-to-everything cooperative perception with vision trans- former,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.835355Z

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.

source=pdf_text observed=2026-08-07T05:40:49.496801Z digest=sha256:4d4a49659456bb76c9dc50b64fe81e2a77f18a3c09adcc0c1557360dc2caa2b0

Observation 5fd4204a-9000-4c7f-853d-a8936c21808a · outbound

This paper cites Learning to generate realistic lidar point clouds,.

Generate Realistic Test Scenes for V2X Communication Systems Learning to generate realistic lidar point clouds,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.507074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.507074Z digest=sha256:dbc2c2d23f821eb31a619143dda0d6dc4a46b6aeedfcb7a719617eee236473e9

Observation 7701ba81-7e04-4594-8d7a-385f222db19f · outbound

This paper cites The pascal visual object classes (voc) challenge,.

Generate Realistic Test Scenes for V2X Communication Systems The pascal visual object classes (voc) challenge,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.503430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.503430Z digest=sha256:2617056b087f84bf3158ec1be10cf9d4d43a0ed09ce03927be8a93d420f81c31

Observation 8878494a-09a6-454c-9994-82463887518b · outbound

This paper cites A wilcoxon-type test for trend,.

Generate Realistic Test Scenes for V2X Communication Systems A wilcoxon-type test for trend,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.810572Z

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.

source=pdf_text observed=2026-08-07T05:40:49.514113Z digest=sha256:1243c415d0e9a44572d2afbf64c4ca2b8af342e2d814d663d8ac42613ff8eaed

Observation bef0a3d7-17a0-4dc2-bf7f-f2020d4d5fdb · outbound

This paper cites Rangenet ++: Fast and accurate lidar semantic segmentation,.

Generate Realistic Test Scenes for V2X Communication Systems Rangenet ++: Fast and accurate lidar semantic segmentation,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.510695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.510695Z digest=sha256:448c2d5ed308da71a20b95ac8b9ce4c56acd192820ea9d4c365a3948b4064276

Observation 0129b4dd-278d-4c28-8953-8113119b9e76 · outbound

This paper cites Can offline testing of deep neural networks replace their online testing?.

Generate Realistic Test Scenes for V2X Communication Systems Can offline testing of deep neural networks replace their online testing?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.521012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.521012Z digest=sha256:672e848a1a09a5139ca63ddec3b73494dec02681c97b95c5d4cde4b5748ab158

Observation f6043f15-5e9b-4293-9b8d-587c0c5180bd · outbound

This paper cites Model vs system level testing of autonomous driving systems: a replication and extension study,.

Generate Realistic Test Scenes for V2X Communication Systems Model vs system level testing of autonomous driving systems: a replication and extension study,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.517483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.517483Z digest=sha256:80082453ee9a3c87b38351d7a380f0de2af7467d93656faa3a271d97815a226b

Observation ad425ca3-b969-4b34-a3be-acb3b8a90dc5 · outbound

This paper cites Towards the robustness of multiple object tracking systems,.

Generate Realistic Test Scenes for V2X Communication Systems Towards the robustness of multiple object tracking systems,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.528412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.528412Z digest=sha256:27e29ab51241cb9b08f70dbbb754e3a88a49f6d444f3b7ee246c6fa9ad7cf0b0

Observation c74beb5f-1a21-4a84-a804-1603340de94c · outbound

This paper cites Metamorphic object insertion for testing object detection systems,.

Generate Realistic Test Scenes for V2X Communication Systems Metamorphic object insertion for testing object detection systems,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.525026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.525026Z digest=sha256:95d36ce31c153df2e4ee682eb5afe67173ad9e5e4358bb05b79f0b3dc55878e9

Observation adbb2b2c-ff86-4b5e-9cc3-506d7c37206b · outbound

This paper cites Multitest: Physical-aware object insertion for testing multi-sensor fusion perception systems,.

Generate Realistic Test Scenes for V2X Communication Systems Multitest: Physical-aware object insertion for testing multi-sensor fusion perception systems,

Reference 45

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:40:49.535041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.535041Z digest=sha256:cdaf0219cfb50a08a511b6f20b9457d6ce95a93d8881d0e91151168b98cf9710

Observation e234bac0-abf3-43f5-b56d-33ee44126e6a · outbound

This paper cites Benchmarking robustness of ai-enabled multi-sensor fusion systems: Challenges and opportunities,.

Generate Realistic Test Scenes for V2X Communication Systems Benchmarking robustness of ai-enabled multi-sensor fusion systems: Challenges and opportunities,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.531673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.531673Z digest=sha256:395dd4f4d383aff893f99c88344ca48012f7d9b78cb29f76c2014bfe05bda47e

Observation a660ecf3-c40d-4a5b-9f8a-d37c547b38cf · outbound

This paper cites Testing and validating machine learning classifiers by metamorphic testing,.

Generate Realistic Test Scenes for V2X Communication Systems Testing and validating machine learning classifiers by metamorphic testing,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:40:50.797952Z

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.

source=pdf_text observed=2026-08-07T05:40:49.541892Z digest=sha256:5eee965ac838cb6c540f0e87ba6b71391f8f55852bc095d1957d9225f9a8f88f

Observation 52f4f97f-c215-4059-97f1-2e565ce8532d · outbound

This paper cites A survey on metamorphic testing,.

Generate Realistic Test Scenes for V2X Communication Systems A survey on metamorphic testing,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.538410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.538410Z digest=sha256:a2ce4670d42cfabbc67db404eebcee9da6a5600236ac97ebb860b4747a42434d

Observation 3741a039-40df-4ece-b9a0-affb346d0ebc · outbound

This paper cites Semantic-guided fuzzing for virtual testing of autonomous driving systems,.

Generate Realistic Test Scenes for V2X Communication Systems Semantic-guided fuzzing for virtual testing of autonomous driving systems,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.553234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.553234Z digest=sha256:b30980a288519dc2475a291006971091652320e3b9707bbca0b5c5694469efbb

Observation 66a88b80-a1e4-4343-83bd-8352e9285f32 · outbound

This paper cites Metamorphic testing of driverless cars,.

Generate Realistic Test Scenes for V2X Communication Systems Metamorphic testing of driverless cars,

Reference 51

Resolution
verified exact
doi, observed 2026-08-07T05:40:49.587173Z

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.

source=pdf_text observed=2026-08-07T05:40:49.549401Z digest=sha256:e78d270d1dd6193bdf3cd9127ce5e705b78693f519c1c66c857e16e71bd16ddc

Observation b9797567-2a98-4aa0-b513-0fa509262826 · outbound

This paper cites Available: https://doi.org/10.1016/j.jss.2010.11.

Generate Realistic Test Scenes for V2X Communication Systems Available: https://doi.org/10.1016/j.jss.2010.11

Reference 2011

Resolution
verified exact
doi, observed 2026-08-07T05:40:49.600620Z

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.

source=pdf_text observed=2026-08-07T05:40:49.545583Z digest=sha256:6c44cecdc1a5d5f10abd2c66a5b333a6bdad0cfbbfe91f418e92e0fb7ecf5b95

Observation f290f056-65cd-4915-a2e3-7f073ad222e9 · outbound

This paper cites Available: https://doi.org/10.1016/j.eswa.2023.

Generate Realistic Test Scenes for V2X Communication Systems Available: https://doi.org/10.1016/j.eswa.2023

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:40:49.369684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.369684Z digest=sha256:2e1b10dbac32d5d5fc3a4d7ba7463e200097fa4a514d3a77100d9c77bef9940d

Pith citing papers

No inbound Pith citation observations are available.