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Paper Citation Record · LEDGER

Vehicle-to-Everything Cooperative Perception for Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:30.153165Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Resolution
unresolved
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:abf374ed1ae4afd5b4f6fb1d96942222eae303b3d7452cddccd2e03eb2f68bac

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

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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:48:57.394059Z digest=sha256:c6722550a07e8227b3ba35886b93e2a5b7165ee3dd8fe5e616eb38cd6d88ba46

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T06:04:13.730522Z digest=sha256:bdb544f4837ba4e91764ae9843c5cf1d556025913cd4baa1dbcf77fffa07821e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:57:50.989343Z digest=sha256:de98d5083832ccc7afc996d2f144d009f7f9f259c36ee329e68823937d520444

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

Resolution
unresolved
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:d1aff8f953859b99b6de3f6bab4cd5af66f5ed859ed03f3adb5caf2d5236002d

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:25:36.983831Z digest=sha256:c683aa8b8d6a1470a143e171e75056bff5d3c95a0b87d3f692c402ea9a2d647d

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T09:42:26.359632Z digest=sha256:248dc3bc272446c039edc726d683229b2f7aebbc67a28b982ab12192299fb731

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T21:35:12.989339Z digest=sha256:9c33262872f3fbf15ae43c97664e0b2e56a00b8d41e58383a4eb90a281b309c7

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T11:24:11.582548Z digest=sha256:96730c8edd823f4607277e70e6197059e6df3b9cba2ce6dea3270ccdb6f15f5b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T09:13:04.151433Z digest=sha256:aca7db5df64dfe984602958bab89859b6102d0e57fc9037aad1cfcd8b83837e4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:24:41.933301Z digest=sha256:cc7a1e2579e0e510a1f1af629e1a63b5c545090142e556cb4015ca7ada40a4d6