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Paper Citation Record · LEDGER

Vehicle-to-Everything Cooperative Perception for Autonomous Driving

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2310.03525.

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

pith.paper-citation-record.v1
2310.03525 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:47.642319Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:06.844985Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fcd6afc2-2709-46cc-9071-22f249303693 · inbound

EI-Drive: A Platform for Cooperative Perception with Realistic Communication Models cites this paper.

EI-Drive: A Platform for Cooperative Perception with Realistic Communication Models Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 13

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no resolver link, observed 2026-08-11T16:47:45.299990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:47:45.299990Z digest=sha256:b2791b7ed2b3d5a9339ea94b9ed49a7fb2664ce3de0e0214852d7fce92e8232c

Observation 4aeeec09-8a54-46f1-8890-0e0ce182c896 · inbound

A Survey and Tutorial of Redundancy Mitigation for Vehicular Cooperative Perception: Standards, Strategies and Open Issues cites this paper.

A Survey and Tutorial of Redundancy Mitigation for Vehicular Cooperative Perception: Standards, Strategies and Open Issues Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 5

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no resolver link, observed 2026-08-10T22:36:01.488167Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:36:01.488167Z digest=sha256:ad397246e0238c7d2433e0b2bfb99b57058b41e111a824f5c45f0573706bead7

Observation df8a7893-249d-484e-91b8-d7232f0434c2 · inbound

Collaborative Perception Datasets for Autonomous Driving: A Review cites this paper.

Collaborative Perception Datasets for Autonomous Driving: A Review Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 69

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no resolver link, observed 2026-08-16T12:28:47.642319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:28:47.642319Z digest=sha256:aa648876f36cbcaf1a54a98d060da19354afac6a518fd9f83e3b2ee41f69dea4

Observation 09cf734c-e33c-4867-8434-4e4dbf67a670 · inbound

Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey cites this paper.

Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 5

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no resolver link, observed 2026-08-16T05:03:22.626958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:03:22.626958Z digest=sha256:c9eb3871779551e43c2a05b9be295aff3c3fd9d5493fc851d1a58f65a890b4c0

Observation 9258fd40-9e25-45ce-8536-0d98c56cadcb · inbound

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior cites this paper.

Unsupervised Radar Point Cloud Enhancement via Arbitrary LiDAR Guided Diffusion Prior Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 6

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no resolver link, observed 2026-08-15T21:27:46.919593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:27:46.919593Z digest=sha256:c4b084fe1fed5db50b8f16f06500025a8dfb11494d1b0685a9b8384da4cbe29b

Observation d5859b0d-a854-422b-874f-5ca1e8a595a8 · inbound

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward cites this paper.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 97

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no resolver link, observed 2026-08-07T12:06:30.153165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:30.153165Z digest=sha256:44e8a621604116b70df006bbe61d367b0bfb228dfed912593b82e918403b48d7

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

Generate Realistic Test Scenes for V2X Communication Systems cites this paper.

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

Reference 14

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:40:49.417748Z digest=sha256:e5d127967ab7bd3367cb8801d597f42a45ac7d6583ff6a3fa1350eeade4f49f0

Observation 909e1b75-13c9-48f5-9b4b-4f2d0c8c3f25 · inbound

Automated Vehicles Should be Connected with Natural Language cites this paper.

Automated Vehicles Should be Connected with Natural Language Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 64

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no resolver link, observed 2026-08-06T21:48:57.394059Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:48:57.394059Z digest=sha256:742005fe0f7abb241d5d41b3e72d5625319eeb1ae5a39eed0143cbca9eec3c18

Observation 9b966151-6454-4bfd-a5ba-276132f1470f · inbound

Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF cites this paper.

Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 10

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no resolver link, observed 2026-08-06T06:04:13.730522Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:04:13.730522Z digest=sha256:6f60f139d06128f4bcfe9920c6db33f176c94e9c96eb2cfb8e5943453c1f3774

Observation ad7a5458-0fb9-4f77-ad1a-b51914afaf86 · inbound

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance cites this paper.

Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 5

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no resolver link, observed 2026-08-06T05:57:50.989343Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:50.989343Z digest=sha256:44943c94bf54b50514e90d1d141d921fa7a07abaf177ecdf8120be40a326946d

Observation ec079207-e8f2-433e-9cd7-ffc41dfe8260 · inbound

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles cites this paper.

Integrated Simulation Framework for Adversarial Attacks on Autonomous Vehicles Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 1

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no resolver link, observed 2026-08-05T13:03:59.957005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:03:59.957005Z digest=sha256:a6c717259da6998d2668f75bbd8e07ce9349cd1c4584b67a814e866a74eaa396

Observation ccff844b-d3dc-4622-afcb-61a805d605d4 · inbound

Infrastructure-Centric World Models: Bridging Temporal Depth and Spatial Breadth for Roadside Perception cites this paper.

Infrastructure-Centric World Models: Bridging Temporal Depth and Spatial Breadth for Roadside Perception Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 17

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verified exact
arxiv_id, observed 2026-05-10T05:25:54.494303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T05:25:36.983831Z digest=sha256:b9fbb10479351463bef9e4973ce35f66130610dccf50972a1e8b783cd723d557

Observation cc009a29-f385-431c-a716-d84ab1cd046f · inbound

CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles cites this paper.

CADET: A Modular Platform for Evaluating Distributed Cooperative Autonomy in Connected Autonomous Vehicles Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 23

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verified exact
arxiv_id, observed 2026-07-02T03:46:32.767705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T09:42:26.359632Z digest=sha256:320f709b0900828e0c3c87f56dcda05f8a0ed573402a3cd9f4356d6b13321663

Observation 094bd40b-9d2f-414d-899d-029056052cc1 · inbound

CABLE: Cloud-Assisted Bandwidth-efficient LMM-based Encoding for V2X Systems cites this paper.

CABLE: Cloud-Assisted Bandwidth-efficient LMM-based Encoding for V2X Systems Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 11

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verified exact
arxiv_id, observed 2026-07-03T23:59:06.847217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T21:35:12.989339Z digest=sha256:3ef508a7d8219be10d01a3128e2614d31d040dfd6b59d20fe9a527f254f4fc15

Observation c579be49-1b98-45a4-8510-c7b3f7c4e66f · inbound

Beyond Line of Sight: Hybrid Validation of V2X Collective Perception in Complex Scenarios cites this paper.

Beyond Line of Sight: Hybrid Validation of V2X Collective Perception in Complex Scenarios Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 13

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verified exact
arxiv_id, observed 2026-07-02T11:26:53.690007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-02T11:24:11.582548Z digest=sha256:be8a9b6fdf8a8d7aa08bcc10651b0b24b33a9f357c07fefed84e7ae53931e140

Observation 75ff0237-368c-4196-afb9-cb465bce4876 · inbound

Beyond Line of Sight: Hybrid Validation of V2X Collective Perception in Complex Scenarios cites this paper.

Beyond Line of Sight: Hybrid Validation of V2X Collective Perception in Complex Scenarios Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 13

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no resolver link, observed 2026-07-12T09:13:04.151433Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:13:04.151433Z digest=sha256:90fbca50f594cd53e975e9e4bf6885e2cf1110a24cdb319d167d5ab62ba2a451

Observation 8e5a1f64-6c7d-43c7-aea7-2d03a485cc54 · inbound

MIND-CAVs: Multi-Intelligence Negotiation and Decision System for CAVs based on Intent-Driven Autonomy cites this paper.

MIND-CAVs: Multi-Intelligence Negotiation and Decision System for CAVs based on Intent-Driven Autonomy Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 2

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no resolver link, observed 2026-08-02T01:24:41.933301Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:24:41.933301Z digest=sha256:139dc5b3ad77da06bc5100623e7e4bb69e975643df3d4ae24e8b7593584337f7

Observation 0456469a-9184-47e0-afb0-40ba8a1eb134 · inbound

Towards Collaborative Joint Perception and Prediction: Framework, Baseline Evaluation, and Deployment Perspectives cites this paper.

Towards Collaborative Joint Perception and Prediction: Framework, Baseline Evaluation, and Deployment Perspectives Vehicle-to-Everything Cooperative Perception for Autonomous Driving

Reference 47

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no resolver link, observed 2026-08-11T15:28:59.467724Z

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source=pdf_text observed=2026-08-11T15:28:59.467724Z digest=sha256:7c3ab636f2267eb3e1363069dd7687d12d00e7cc122ef7d082a7364260715493