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Paper Citation Record · LEDGER

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

As of 18 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 6 inbound Pith citation observations for arXiv:2506.19283.

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

pith.paper-citation-record.v1
2506.19283 v3

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:58.817332Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:09:58.122632Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:49.151624Z

Reference resolution

59 of 59 outbound references displayed

  • verified exact0
  • verified fuzzy38
  • unresolved20
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63e01ff6-0b08-41d1-9fbc-47fafd914393 · outbound

This paper cites Perception and sensing for autonomous vehicles under adverse weather conditions: A survey.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.537822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.631647Z digest=sha256:984c219d630fa8f20be56d66ce4dc5e448362709bfb7793bb2e915491b7c6baf

Observation 2e8d5070-a50d-43d2-a490-b89a1474fc3c · outbound

This paper cites Generative AI for Autonomous Driving: Frontiers and Opportunities.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Generative AI for Autonomous Driving: Frontiers and Opportunities

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.634841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.634841Z digest=sha256:fc2ec7297c98632f6b5dd6fed5e853be91f2b5f1a84cfe3fece09849e3bc7b07

Observation 40bdaced-8209-46d0-bc60-03dcf230268c · outbound

This paper cites MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration MambaST: A Plug-and-Play Cross-Spectral Spatial-Temporal Fuser for Efficient Pedestrian Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.638926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.638926Z digest=sha256:93227945b932c0a7db2e5ea339f164e6fa076f76f1ea62195b6efb9fbb48ca05

Observation fabd94d1-4e6c-4dce-8fbe-91c02cfbe53b · outbound

This paper cites Cost analysis of v2i deployment.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Cost analysis of v2i deployment

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.528269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.642993Z digest=sha256:24d8387e12f4d603fe90228829ec1ac6d0526d682d6403c66de918e9fad0f3f4

Observation b9372cf1-0bb4-4432-a7e6-fc3438de666f · outbound

This paper cites Where2comm: Communication-efficient collaborative perception via spatial confidence maps.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Where2comm: Communication-efficient collaborative perception via spatial confidence maps

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.519841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.646448Z digest=sha256:b7b4853f67a7bcc049949020cd3710fd5a5cc783412048aab4ae10e71be9cb4d

Observation 031ec1c9-e0ae-4b9c-aa56-4e8d42eeb696 · outbound

This paper cites STAMP: Scalable Task And Model-agnostic Collaborative Perception.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration STAMP: Scalable Task And Model-agnostic Collaborative Perception

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.650074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.650074Z digest=sha256:2d074f3436c3b4d838dd66a62a280c3bc59a9b0ef1869e3ce2435b3767833c1d

Observation 42301ff4-dbdf-4f1b-89a4-e177cd20bed2 · outbound

This paper cites LangCoop: Collaborative Driving with Language.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration LangCoop: Collaborative Driving with Language

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.654044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.654044Z digest=sha256:54a6fb0ec3b2fdbf0a9b93233f2a366be643fb70e1c9d8fcfaa32bce23f83d91

Observation df0a923f-0317-40c2-9e03-7f8fe40a80a9 · outbound

This paper cites A synthetic benchmark for collaborative 3d semantic occupancy prediction in v2x autonomous driving.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration A synthetic benchmark for collaborative 3d semantic occupancy prediction in v2x autonomous driving

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.657648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.657648Z digest=sha256:930a244868662e4c21a3de84524b7eb7279bd04fb873aed411e89df2f34ca100

Observation 9bab4b4a-12b1-47ff-8fd8-1a1a97fbc00d · outbound

This paper cites Carla: An open urban driving simulator.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Carla: An open urban driving simulator

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.510399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.660426Z digest=sha256:1c93b36f70c5680e5ae0ef291ec40e7700a3b63fadead024748b407f1b44cc88

Observation f6b775e3-882d-47b7-b3b9-69509baa298b · outbound

This paper cites Airsim: High-fidelity visual and physical simulation for autonomous vehicles.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Airsim: High-fidelity visual and physical simulation for autonomous vehicles

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.501685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.663343Z digest=sha256:6d30382ff6694f61039a6046e97d37845b0cbb55baf40168e11ef62cf49bd3ae

Observation fc241ee5-bd47-4725-844b-8b13641cf0e2 · outbound

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

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.493094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.667064Z digest=sha256:2b02f1e2eac73b3e03f475f932a102d5f69c3a5851a92cf141d672be337b7625

Observation 1b9691d2-fb4a-4397-8ed2-8b264f9d5b35 · outbound

This paper cites V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.485073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.670894Z digest=sha256:d281366903e09cc118970b178e2576aa7245d479a9866cdd6d82e0ddbb033de0

Observation eb0b266a-9901-4f62-84d8-3840e7ef8969 · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2x-vit: Vehicle-to-everything cooperative perception with vision transformer

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.477809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.674606Z digest=sha256:330d6192d673efc70a23110831ce3bbb2cc25c796071e57470919cab50fbb7f2

Observation 43c2abc8-fa09-4835-aa75-d4e1d1ba85fb · outbound

This paper cites Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Dair-v2x: A large-scale dataset for vehicle- infrastructure cooperative 3d object detection

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.469704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.678580Z digest=sha256:e4874f48595ca8c36cc97ffb3b0ccb720e868a79b03a9b7cb65c32a2b91025b9

Observation 2d30bbe2-69c9-4210-b88c-9ad0c6169d12 · outbound

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

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.462252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.682215Z digest=sha256:7fd12ca3857b9cdd1032f5f905522bad58eb6aecc1df343d903ee011564fbe94

Observation 45521081-f7e3-4390-b174-28b3943e9aa0 · outbound

This paper cites Rcooper: A real-world large-scale dataset for roadside cooperative perception.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Rcooper: A real-world large-scale dataset for roadside cooperative perception

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.454526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.685009Z digest=sha256:ccf435c6aa06518551123b25941228c625c648269495d3e7b0a277d84d600c51

Observation 1571cd95-e6fb-4fa5-89e7-369211547fff · outbound

This paper cites an unresolved cited work.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:10:59.445979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.688828Z digest=sha256:c6b48e50006687032da44c0719f76197b71f8cea5098c7062999ba8058fb8a16

Observation 302d316f-b156-4109-8b72-ae152103b1e8 · outbound

This paper cites Holovic: Large-scale dataset and benchmark for multi-sensor holographic intersection and vehicle-infrastructure cooperative.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Holovic: Large-scale dataset and benchmark for multi-sensor holographic intersection and vehicle-infrastructure cooperative

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.438280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.691961Z digest=sha256:83876a5c18fe4d4c9147f832c79d194419b4ba6be2b34d207985118a6364236c

Observation 6b5ba0e6-3194-47d7-bdb8-f38ed375debe · outbound

This paper cites V2x-real: A large-scale dataset for vehicle-to- everything cooperative perception.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2x-real: A large-scale dataset for vehicle-to- everything cooperative perception

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.429983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.695262Z digest=sha256:f7ff40becbeb5bdfadc0c8cb1d9a84c009cff5ff208f440e52507bf0bd9ab980

Observation da888c37-f834-4852-a828-bf355f874df4 · outbound

This paper cites V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.698111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.698111Z digest=sha256:2dcc3b03755736fca2e88cef9e15ed3b3c9eec79e797754fab26b29f5fbb6eda

Observation ef825425-469c-4ec0-abe0-b6a9bcb31b72 · outbound

This paper cites Collaboration helps camera overtake lidar in 3d detection.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Collaboration helps camera overtake lidar in 3d detection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.421549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.701325Z digest=sha256:e4a026b1242a3befa729a762ad31d37ab1e19c8c6c7a356018da89dd01a801dc

Observation 5d6ce234-abec-4b9b-aec5-970c20a5471a · outbound

This paper cites Uav3d: A large-scale 3d perception benchmark for unmanned aerial vehicles.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Uav3d: A large-scale 3d perception benchmark for unmanned aerial vehicles

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.413345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.704535Z digest=sha256:7669c4d117e97087ccf445dc8e2be3cd95e3c710f8e640b1c585cd1e423f9156

Observation bc3d530a-7156-49bc-a1f5-9550b8813ab3 · outbound

This paper cites U2udata: A large-scale cooperative perception dataset for swarm uavs autonomous flight.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration U2udata: A large-scale cooperative perception dataset for swarm uavs autonomous flight

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.405058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.707446Z digest=sha256:4707c51af0fdb865dd7a818204745781e8762000555bc92acd27fcb6d376caa7

Observation fb8678ae-ef7d-4023-ad08-964b162859f5 · outbound

This paper cites an unresolved cited work.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:10:59.397565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.710374Z digest=sha256:a6cfaaea26ca99f6974525ed23462f209ca96a443ef2d6a909c87a4fd377ac9e

Observation 6ae12fb6-0c23-45b5-b038-a00462590aaa · outbound

This paper cites UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.713197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.713197Z digest=sha256:30133fac9941c954b0d353b3c71b7b4ed27246d2240a978bcb10e5d9ecebab29

Observation a648d5d3-b6d6-42c3-ac56-0d843ffb78ff · outbound

This paper cites Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.716602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.716602Z digest=sha256:8453a03c26762a46309aa89d5350d4f40aeb26e75816b09dbc65e5886f9c1dfe

Observation 5dfa8419-4fe5-409b-b039-bb372dde89d9 · outbound

This paper cites Agc-drive: A large-scale dataset for real-world aerial-ground collaboration in driving scenarios.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Agc-drive: A large-scale dataset for real-world aerial-ground collaboration in driving scenarios

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.720101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.720101Z digest=sha256:b330c3d4dab917be0f410d5f3192dd8e94813c000cabe163e00f09c33b06c7ec

Observation 20489828-a03c-4d43-a995-ebdd448809b6 · outbound

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

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Collaborative Perception Datasets for Autonomous Driving: A Review

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.723207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.723207Z digest=sha256:4b853cde5e42ee1b991b67a4154d7891f868447f893c0abb40f5fec25aff8e58

Observation 29c3be1d-9ebd-4778-8d53-fd19e998c923 · outbound

This paper cites Object classification using cnn-based fusion of vision and lidar in autonomous vehicle environment.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Object classification using cnn-based fusion of vision and lidar in autonomous vehicle environment

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.389837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.726779Z digest=sha256:436f98494e03e7ce620f881d833bd88e61d01608f0d37ba827ccc79b74c77f01

Observation 879575a8-4fef-4deb-94f6-9d43760c6b17 · outbound

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

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Cooper: Cooperative perception for connected autonomous vehicles based on 3d point clouds

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.381362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.729598Z digest=sha256:ecd423c807d72a1b3dc08d9f1c9073653d179e3698ce13c2e79d8c15ea5980fb

Observation a3e9fc99-006f-41d8-a579-fe7ebc09e4eb · outbound

This paper cites Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Cooperative perception for 3d object detection in driving scenarios using infrastructure sensors

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.373829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.732012Z digest=sha256:e8796ab56a853e580fce72f0b0f88fac60fad193a4f2c2b794a53f13a8c2ec0d

Observation cfbecd73-8dfd-4abe-ae81-fb1eedf86b98 · outbound

This paper cites Multimodal deep-learning for object recognition combining camera and lidar data.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Multimodal deep-learning for object recognition combining camera and lidar data

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.366096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.735678Z digest=sha256:5922386cff54870b1111e11a62208babd21176ad04a71a652ff8e39bd160aeba

Observation be757b4a-a3dd-4c18-a473-390f9510853b · outbound

This paper cites Depth completion via inductive fusion of planar lidar and monocular camera.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Depth completion via inductive fusion of planar lidar and monocular camera

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.358362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.738543Z digest=sha256:e319111f13511425d7486c923b9d2d061f797f89ce177208d24db9a9cf4337c6

Observation eeb43d14-6ed8-4eea-8031-eaab17d2e3fe · outbound

This paper cites Dsdnet: Deep structured self-driving network.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Dsdnet: Deep structured self-driving network

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.350940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.741366Z digest=sha256:a8ce56bc999a3a25b34755cb5abc38c79faa2ae2252c76e8d7c06266d207d127

Observation c6de6858-6212-4a50-8e1b-9f19e388efb6 · outbound

This paper cites Vips: Real-time perception fusion for infrastructure-assisted autonomous driving.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Vips: Real-time perception fusion for infrastructure-assisted autonomous driving

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.342976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.744609Z digest=sha256:ea9a45b9daeb2130744c1b5e45a9fd591b6a4cb57e831dd906b12f0f8e9b53cc

Observation aa32318d-4597-4e0b-a313-50fa4c153b9f · outbound

This paper cites We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration We Need to Talk: Identifying and Overcoming Communication-Critical Scenarios for Self-Driving

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.747349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.747349Z digest=sha256:b43f2238a0b0d23cb61ba8f0ce7dedf9ce875bb955f0c48770b50a3f3088f147

Observation 68bb23ad-43cd-428f-9dfc-a835f8b7dc56 · outbound

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

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2vnet: Vehicle-to-vehicle communication for joint perception and prediction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.334251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.750264Z digest=sha256:4d2e95ba40959ec3fbbcc130a467b136111464814fe70ea26d4b807ed2681076

Observation 19e561c9-3f96-4925-afbb-71ffeb197674 · outbound

This paper cites When2com: Multi-agent perception via communication graph grouping.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration When2com: Multi-agent perception via communication graph grouping

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.326510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.753309Z digest=sha256:9364d886c958c4f6a4c836f730e0930807438808bd48769a80cfdc79075ada67

Observation 2af5274a-ea94-4a08-a06b-1fdca0ae37d4 · outbound

This paper cites Coopernaut: End-to-end driving with cooperative perception for networked vehicles.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Coopernaut: End-to-end driving with cooperative perception for networked vehicles

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.318541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.756275Z digest=sha256:4bdcf7d42139c051ef42ea59ee67f96a7a762d6b7bb6a6db390270494bb490da

Observation 68ff0301-8fea-4661-9fcf-2d54de4ab252 · outbound

This paper cites V2x-vit: Vehicle-to-everything cooperative perception with vision transformer.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2x-vit: Vehicle-to-everything cooperative perception with vision transformer

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.310796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.759197Z digest=sha256:93ecfca2460da3815777bcd30b2fa654cb2a87a0ccd69f98fc47c461dfd9c9d8

Observation 2f7684d9-04e6-494f-a9a9-fd038175fd17 · outbound

This paper cites Adaptive feature fusion for cooperative perception using lidar point clouds.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Adaptive feature fusion for cooperative perception using lidar point clouds

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.302202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.762104Z digest=sha256:f89604b894d743287993e08156336f2a36457614c1ecf4e39ca428af43492677

Observation b34f1b90-3b3f-42a1-98cf-a8b5d3781365 · outbound

This paper cites Learning for vehicle-to-vehicle cooperative perception under lossy communication.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Learning for vehicle-to-vehicle cooperative perception under lossy communication

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.293012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.765139Z digest=sha256:14aa564aed98d8660e57e4488ca6a4385e82b8c686c4fd6c1e5b1ce3ecec7910

Observation 3fed5109-eed2-47e2-a6e9-a84b193951c8 · outbound

This paper cites Core: Cooper- ative reconstruction for multi-agent perception.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Core: Cooper- ative reconstruction for multi-agent perception

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.283919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.767980Z digest=sha256:8377130e50d50d05528f54db3903dd0163a224b4c7bed4f42ebd98e04dbc0e0a

Observation 12e66978-8e48-4c60-8bf5-cba10c6fd4e4 · outbound

This paper cites Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.770845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.770845Z digest=sha256:563f4e9d54c25b40ff7f4c63eda1603b12122e8ba987f450f3d7c97dceccdd0a

Observation 3c890ddb-d341-41e2-8946-d809ee0e8b92 · outbound

This paper cites CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perception

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.773853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.773853Z digest=sha256:6097e7125a26ae938234a6c19e70b600a3ff7a465493db746fc5ce284ab0e301

Observation eabb76e7-a3ef-4570-a097-7681e23cf785 · outbound

This paper cites Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Senserag: Constructing environmental knowledge bases with proactive querying for llm-based autonomous driving

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.274662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.776832Z digest=sha256:64062a1a6f8c9d6db219dc624dfd9fb9a2d3785fc88447e2279e185df9fc501a

Observation 427c392e-c1fa-4ba3-94d2-6e0b1dac4b75 · outbound

This paper cites V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.779568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.779568Z digest=sha256:d2916c3e3fca2ea6ccbf3a6c8e46ab2ed4f9c23a80e848ecac8d605a7031a09d

Observation fdeb80c1-c087-4f78-96a9-eecd54ca2e22 · outbound

This paper cites V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2X-LLM: Enhancing V2X Integration and Understanding in Connected Vehicle Corridors

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.782510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.782510Z digest=sha256:64bfacd4b0f8144ef284ba93ca272ec6d51a68603cbe18e1abe11d0a7cc6978b

Observation db90ea19-3a31-4d4d-bc9b-fc490c34dc2f · outbound

This paper cites V2x-unipool: Unifying multimodal perception and knowledge reasoning for autonomous driving.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2x-unipool: Unifying multimodal perception and knowledge reasoning for autonomous driving

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.785861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.785861Z digest=sha256:4bc35c8044fec1dcd203d0a329db13316665cf552388ac1240b1541850991685

Observation 077db8a9-cd22-4c3f-a01f-d0fa6b2d2bc9 · outbound

This paper cites CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.788856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.788856Z digest=sha256:0888ca5caf2914d356dab66eaacb900b58d35503be8998332fb0401bdfc7b727

Observation 4b2c90fc-0ab1-404f-8bef-f5b295b2209a · outbound

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

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3d point clouds

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.265501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.792227Z digest=sha256:43d74cf4c4ef0e50b87e97a75ea8f599691191bd924322964fd47b7e2d073ea6

Observation 0d169d97-37e5-4348-92a8-ebf3686ca22a · outbound

This paper cites Sicp: Simultaneous individual and cooperative perception for 3d object detection in connected and automated vehicles.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Sicp: Simultaneous individual and cooperative perception for 3d object detection in connected and automated vehicles

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.255600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.794920Z digest=sha256:ba2218bd44d670405e8538b75996fa0b5e70967b510b43ab5b065acf881f6511

Observation a7363e4e-25d6-4e36-985f-78be69c48525 · outbound

This paper cites An Extensible Framework for Open Heterogeneous Collaborative Perception.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration An Extensible Framework for Open Heterogeneous Collaborative Perception

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:58.798834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:58.798834Z digest=sha256:40cffe7eb09e915b99c297bc1c3877cd95ef4aac522ee4ecf81bfd5d1fce956a

Observation a46d974d-10d7-46d7-89e9-465c1eb5743c · outbound

This paper cites Global drone industry market forecasts: analysts trim their growth predictions again - Unmanned airspace — unmannedairspace.info.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Global drone industry market forecasts: analysts trim their growth predictions again - Unmanned airspace — unmannedairspace.info

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.247871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.802766Z digest=sha256:05a95ec38792fc686733f3c2eba385b75fc79250576a702a3efc01b963ec5306

Observation 89ab4b51-d268-4df3-a06d-e3b325b6ce9d · outbound

This paper cites Advancements in uav-enabled intelligent transportation systems: A three-layered framework and future directions.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Advancements in uav-enabled intelligent transportation systems: A three-layered framework and future directions

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.238017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.805562Z digest=sha256:71f8582cdb6150c953c0fe1e51d750e32ed2d62cf6be7eae804ac2982bc250af

Observation 26449abc-7dab-4a52-a4a3-3249ed558bb9 · outbound

This paper cites Uav-assisted intelligent vehicular networks, 2025.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Uav-assisted intelligent vehicular networks, 2025

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.229275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.808750Z digest=sha256:603ef274f86e756be334dc0f2bac083d2fd7d8c468ba49ba984c99bd74637620

Observation 8bbcdcde-69b4-4d4a-b203-fadcc898f4f1 · outbound

This paper cites V2x communication between connected and automated vehicles (cavs) and unmanned aerial vehicles (uavs).

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration V2x communication between connected and automated vehicles (cavs) and unmanned aerial vehicles (uavs)

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.219394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.811631Z digest=sha256:7edb03bc39e17eaaf2336dbd5b0e7b45fdb040fd9df21c6bdf68e6bafade2586

Observation a1cb3d5e-ec79-4ee9-ab66-d77c8e412e98 · outbound

This paper cites Modelling and real deployment of c-its by integrating ground vehicles and unmanned aerial vehicles.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration Modelling and real deployment of c-its by integrating ground vehicles and unmanned aerial vehicles

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:10:59.208026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.814624Z digest=sha256:c68b65ccb72df9ce5f3eedda5ca0160506146d8b34e2bdbdae628b26d33d7a64

Observation b3bae140-3399-4d26-9544-4ad79777e34f · outbound

This paper cites flying RSUs.

AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration flying RSUs

Reference 59

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T23:10:59.198543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T23:10:58.817332Z digest=sha256:f7b39456646d25601b50a3161349486f2463649add8871e10895be5c0558fec3

Pith citing papers

Observation 0df3e4ca-fb9a-4951-8c5d-3f48f5307397 · inbound

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving cites this paper.

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T19:09:58.122632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:09:58.122632Z digest=sha256:69a250ae3be7cb83c16e4228bd7af60619537cf244485470d12ba2c2e6b1bbe1

Observation c349f67a-2ff2-431d-94c2-1d29cf9ba645 · inbound

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

Automated Vehicles Should be Connected with Natural Language AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T21:48:52.144588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:48:52.144588Z digest=sha256:a811f6d685f9c248e57301691bdb15272714aecb981f19dbdd73f4fc83defd8b

Observation 00d2c482-53f2-47e5-b5ee-e1577cbc7486 · inbound

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition cites this paper.

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T12:39:01.024699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:39:01.024699Z digest=sha256:65bbf64bc5c897a9f2fde4f376cb75dfa2f7351835b60e0b0bbd5ffc9b0100ae

Observation 547c41de-56b8-4449-ad0b-040a604e9a30 · inbound

Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance cites this paper.

Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:19:39.509133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T05:15:41.764661Z digest=sha256:c19e77de218c74eb7b6d6b82652e3f1d105a57f667944a193373f74f3a7058ba

Observation a9751b5d-44fb-4b32-860c-4ee636681e19 · inbound

Adaptation-Free Heterogeneous Collaborative Perception with Unseen Agent Configurations cites this paper.

Adaptation-Free Heterogeneous Collaborative Perception with Unseen Agent Configurations AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:49.153042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T18:04:59.772980Z digest=sha256:0ce5e13bae649d34d814991c4abbbaffa317c678dd3ef832a184a32b4dea0999

Observation dd1832f3-69a6-44ca-86f4-cd9a39ea4992 · inbound

Can Aerial VLA Models Cooperate? Evaluating Closed-Loop Air-Ground Coordination with CARLA-Air cites this paper.

Can Aerial VLA Models Cooperate? Evaluating Closed-Loop Air-Ground Coordination with CARLA-Air AirV2X: Unified Air-Ground Vehicle-to-Everything Collaboration

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-28T22:22:43.318542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T22:22:38.076807Z digest=sha256:f769e2b9766919c4c9e6cb596e6584ea3b1b7a8460f13d11af2c42694d068443