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Paper Citation Record · LEDGER

Generate Realistic Test Scenes for V2X Communication Systems

As of 18 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 2026-08-17T06:30:58.91139+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

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

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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 2026-08-17T06:30:58.91139+00:00.

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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

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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 2026-08-17T06:30:58.91139+00:00.

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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

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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 2026-08-17T06:30:58.91139+00:00.

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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

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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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.390455Z digest=sha256:f591be04b3627d96545584d0aa26b11725a244de3d1a85422b271d48041f0201

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.394921Z digest=sha256:8fddf98d1ab221f2a6402c34db6518f9c600bf2b68035927a73b2399ff5e307f

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

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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=sha256:50dd9c5b496490708cc6c14662a0d8b45b0027807bcd84445532aa040be8f104

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.406586Z digest=sha256:4598e3e535da98b92d6ad9d4e9607893b2c712b5fbc6b6739f2fb3191c7fd7d1

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

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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=sha256:5f1272b9e175d361f977216c5229e790afbf229083eff74e0037315c8a7a3c98

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.414017Z digest=sha256:5e940b0864085e10322d707de1e620a0914f174fcbc9d4f801c900ce1a41aed5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.410398Z digest=sha256:7af1f8dfa1ce1fb57466d942ef53b51e8d2a5244cfd118d56e0880f2672a6628

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.421570Z digest=sha256:3304e5a2640a3381c256f754a44d9b37140bdb3ea973020ad3f9222b9539dae0

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

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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:e5d127967ab7bd3367cb8801d597f42a45ac7d6583ff6a3fa1350eeade4f49f0

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=sha256:66117bdd652785c888bb24825f9848627a9488eda93111717f34b4161c42221f

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

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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:f910bde6eb6bc052b0db943af856ac59602f8569fafc38397fcb7613d905b797

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=sha256:20ca5a82b7969500b049aa73deadd124cbc5a46cfaf3748084374e02d171976a

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=sha256:586f65bbc3c49bdb66471381727c763b3dba94c981853a80a12477eddfe76261

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.442991Z digest=sha256:9b04f9c1c0f616db1e197d84529403c15c7402f8db9ca199ab848c202eaf8f9c

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=sha256:1919c9b4a51ee8509a43b4a7f8705a117e4c401667c83b6d70fb8c6ceeedb9a8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.450043Z digest=sha256:fe2c6a32fd71cd2789726dea36c953aaf09f3848c5f7cd8dd2099fb346ab1bd0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.446396Z digest=sha256:29b6dd49931076168a35fde689dd6230ff6a6fd2df17bc40277d7b9fee3efdb2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.457087Z digest=sha256:db50dba6840d6c0953b8f1dc609fbedbdc1fdc34e25027c9f8893f1a417f014c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.453657Z digest=sha256:4d5cda91a7b4cc508309e8e23ff68ab10d273060f33daa5f5a779992763888d1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.464175Z digest=sha256:7e8c89b000c846714a82bd743e83a1aa2578abcd97dd7c269d3c227596b8afbf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.460563Z digest=sha256:74d763d48ca4b32993a13c60c2e98fbf72a89d8409f494f0ebac30a5fbddd36d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.471500Z digest=sha256:50898564d1e4171df9402444c770b5ee302735e88c0ed978eeee799681217dc6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.468027Z digest=sha256:a1a64bd883b05bfd7d871809b157f9fcb6a8f6bf1ffad4736a5c83703b3ad114

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.478293Z digest=sha256:e4a873799b7b4d47e6b39c86af8094b305da841e7eda6acd8423316c75443ee8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.475007Z digest=sha256:99a2ef6abcaf9f476da78947aa292020236c5c5c53add32fc09c28ec1e7e0ade

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.485234Z digest=sha256:a1ab1ed1571b5bba741ae293151b3459d80d98f066401568b3dc92aadf0598b9

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=sha256:25544e67a5a00587b45f4d55b70565e8764fd6cac482a4d4d21f2793cd1159db

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

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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:d162729ea0daa567e283413b8f3e10d384455f75a72890606f469dc2ce4a35e6

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

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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:a6520d46bfaf25768f3e43b6078222d012a8f93567f5d947b4db626dbd52c988

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 2026-08-17T06:30:58.91139+00:00.

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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

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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.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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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.

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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

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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=sha256:4adb54412540a06b9c2842682a06fccaeb4aa873aa63a94a5c265098f32062cc

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.521012Z digest=sha256:a1e74edc684b9b52668c94d2d66e32c2a75e7827e8c7a040558b471730ba9759

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.517483Z digest=sha256:467f61244707113ab4b888685cd06619f89224a5a61cbc06cb7cc7c551fd1131

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.528412Z digest=sha256:049e3ef0e1f277d312165da60f1f2d3fb6f9a2c255618ce5c79f3bac531dc2cc

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.525026Z digest=sha256:1dd43c88be3691baa7838eee60b4a0eb87d805c9a68802b98b69814794176a94

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

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malformed identifier
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.535041Z digest=sha256:f3baeb24cf16b97656214384bca31fe000a2321b87a532f28e6107f45255302a

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.531673Z digest=sha256:f24af460879406e30a4aad25ccc95998107e2856c101a8a46e3b5e060c6233d3

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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.541892Z digest=sha256:4b1c2a7c02a0104b49047f0470dce1b98ccbf216779c2cfa12bfb607627fb2bd

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.538410Z digest=sha256:7e9b3642eecf69ac66292a5df1ec68298ed341dbee4ce4988d453e4639f06ad1

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.553234Z digest=sha256:33fd8d03399fd93cc05e4e6387702812eedde859db5482056432a47279437ccf

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

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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 2026-08-17T06:30:58.91139+00:00.

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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

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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T05:40:49.545583Z digest=sha256:288d5efc70b71f1efb80da56ba9c82fe08b35dd90acafa71f13dbb7df5e967e2

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

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source=pdf_text observed=2026-08-07T05:40:49.369684Z digest=sha256:9b981c994c9bcb89a0224086f2afbd366aaa097e92fbcf71c8284fa1364e48bb

Pith citing papers

No inbound Pith citation observations are available.