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Paper Citation Record · LEDGER

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment

As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2606.27750.

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

pith.paper-citation-record.v1
2606.27750 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T03:21:27.736505Z

measured 19 of 19 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 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

19 of 19 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 03bd875f-af81-438c-bfe7-0ffbd0dc06cf · outbound

This paper cites A survey of collaborative perception in intelligent vehicles at intersec- tions,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment A survey of collaborative perception in intelligent vehicles at intersec- tions,

Reference 1

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Observation 366be7fa-8211-4ba5-8e0c-8ae5f389df54 · outbound

This paper cites Positioning using wireless networks: Applications, recent progress and future challenges,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Positioning using wireless networks: Applications, recent progress and future challenges,

Reference 2

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Observation 244a812a-68f1-4310-99f2-d4e1a43b883d · outbound

This paper cites Occlusion-aware camera selection in vehicular networks,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Occlusion-aware camera selection in vehicular networks,

Reference 3

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:aaa0a7d01ee117d8214ac5addb000743288189ce79384bdb7666904b859dab87

Observation 3ea614da-3124-4742-a0e1-3b70e226be88 · outbound

This paper cites Practical collaborative perception: A framework for asynchronous and multi-agent 3d object detection,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Practical collaborative perception: A framework for asynchronous and multi-agent 3d object detection,

Reference 4

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:1584abb2f5a461653fc4ddefc52dc3307fc791cb221578357c44bb5d330546c3

Observation 687d27aa-644f-4f26-9149-f68d7cd96268 · outbound

This paper cites OPV2V: An open benchmark dataset and fusion pipeline for perception with vehicle- to-vehicle communication,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment OPV2V: An open benchmark dataset and fusion pipeline for perception with vehicle- to-vehicle communication,

Reference 5

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:f3f44bb6d7eeeced17ca80f5f4b954787f5c5a3c4bdcf21be74164aafbddc7da

Observation e288b6ec-7fcf-47a4-985e-34754707f85f · outbound

This paper cites Computation offloading in air-ground integrated vehicular edge computing networks,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Computation offloading in air-ground integrated vehicular edge computing networks,

Reference 6

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Observation ec15a493-c5ae-45aa-a3cb-2dba84a10ccb · outbound

This paper cites Joint service placement and model partitioning for accelerating DNN inference in edge intelligence empowered vehicle networks,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Joint service placement and model partitioning for accelerating DNN inference in edge intelligence empowered vehicle networks,

Reference 7

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:5b25a058960f349c8bfbc01f1f9d84bf309f3176523f97b95210b9dfebb733d2

Observation 995ce87a-d354-4c4d-b06f-4e6b28c3eab1 · outbound

This paper cites Truthful mechanism for resource allocation and pricing in vehicle-assisted mobile edge computing,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Truthful mechanism for resource allocation and pricing in vehicle-assisted mobile edge computing,

Reference 8

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:e7f6ebaa8686c576d24cddddeb19a50f4fe43b1735d93046c6c228e6501b8ce1

Observation bbee2149-ea8a-4fa8-8055-ec31a9e43d7a · outbound

This paper cites Edge intelligence empowered vehicle detection and image segmentation for autonomous vehicles,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Edge intelligence empowered vehicle detection and image segmentation for autonomous vehicles,

Reference 9

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:a75c0d61f21c963a0de22ce1dd881e5eca249167a3481750f1bf772d5dd7478a

Observation 1c89e85e-9006-4834-b020-144404163fc6 · outbound

This paper cites Joint optimization of compression, transmission and computation for cooper- ative perception aided intelligent vehicular networks,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Joint optimization of compression, transmission and computation for cooper- ative perception aided intelligent vehicular networks,

Reference 10

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:5b088caa793be81ff6654e76061652b18b35eecd6b14f758802bfd8dabf99c39

Observation 21081151-fe70-4305-bdeb-21b411d2202d · outbound

This paper cites V2VNet: Vehicle-to-vehicle communication for joint perception and prediction,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment V2VNet: Vehicle-to-vehicle communication for joint perception and prediction,

Reference 11

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:1742d2a81aa9ab67f58e23ab979093e659421cd602572fdf0ef411a8b94a3b32

Observation d03432d0-1030-4cbf-a1fa-9b7b949ff2fb · outbound

This paper cites CrossPrune: Cooperative pruning for camera–LiDAR fused perception models of autonomous driving,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment CrossPrune: Cooperative pruning for camera–LiDAR fused perception models of autonomous driving,

Reference 12

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:5bb0385cc538fc8736684ffc5a74c1fd7d5ddad188240aea917df88148ecce74

Observation 488ac15a-b85c-4487-b52a-bcfa0879b8c8 · outbound

This paper cites Towards real-time and efficient perception workflows in software-defined vehicles,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Towards real-time and efficient perception workflows in software-defined vehicles,

Reference 13

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:60725e6926c6ccece48781bba333885bf107606be74f99452686cd703b7ca820

Observation 2dd3ed59-ccde-46a7-8472-53a23b113100 · outbound

This paper cites RoCooper: Robust cooperative perception under vehicle-to-vehicle communication impairments,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment RoCooper: Robust cooperative perception under vehicle-to-vehicle communication impairments,

Reference 14

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:b8c9cd3a6b622424642ad63ab47106532f37a70a2b92c7098619568abce7dd9c

Observation 09fbd6a4-c510-4680-832d-70af35e3ffd9 · outbound

This paper cites Study on Vehicle-to-Everything,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Study on Vehicle-to-Everything,

Reference 15

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:1aab8242947b49c1b5d13fb4d46e45ff9d5ffcb5d11d18f758359f552f020475

Observation 2447a8e5-fdbb-437b-8afa-921fec8459f5 · outbound

This paper cites Serpens: Privacy-preserving infer- ence through conditional separable of convolutional neural networks,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Serpens: Privacy-preserving infer- ence through conditional separable of convolutional neural networks,

Reference 16

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Observation 6d809333-96f9-4248-8dc9-c7310b95e45b · outbound

This paper cites Deep residual learning for image recognition,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment Deep residual learning for image recognition,

Reference 17

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Observation 55dac77e-9317-4d97-965f-5dce8433e16f · outbound

This paper cites PIXOR: Real-time 3D object detection from point clouds,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment PIXOR: Real-time 3D object detection from point clouds,

Reference 18

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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:38220f57152986e92eb04abf4021fde4d69d5731f413aa215ee0583407b7915b

Observation f63d6248-30b4-4461-b2e3-0a04460023d2 · outbound

This paper cites DNN partitioning, task offloading, and resource allocation in dynamic vehicular networks: A Lyapunov-guided diffusion-based reinforcement learning approach,.

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment DNN partitioning, task offloading, and resource allocation in dynamic vehicular networks: A Lyapunov-guided diffusion-based reinforcement learning approach,

Reference 19

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Pith citing papers

No inbound Pith citation observations are available.