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Paper Citation Record · LEDGER

Lightweight Multi-Vehicle Collaborative Perception Acceleration with Fusion Position Adjustment

As of 6 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 2026-08-06T06:34:29.942622+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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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:84377302b5c45d827a925e27fe0cbc40386d171493ba244fd2a48bf223e8a163

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=sha256:9d0c10e2987f29be4bb41c4cb7ef89d6f8d97084b444cf433a9da030acdd527e

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=sha256:0c58e0c687a47c7d1ee5f56c565d5b9943786a53096fe243c48c8f95673eed34

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=sha256:35c5dced28a61a8ce014081f2babb29d7173865bf59b410399301218329f8785

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=sha256:0d1cca44d1aceb2f83a8a146109efec685fd2f65e3c52ac7045bc4396fae3c6b

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=sha256:0b2515851167261b51ed9b89c13da34503a12e01a4be2fa30da44bce02959f79

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=sha256:02247526daa20f87361812653b9b3384138e3252f305c3a25967919edf2f91fb

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=sha256:213d08b83644fbe21d4f9186a5213b2ffb0a0d6fb15304dc8ccb4f380d2b9273

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=sha256:85a3769a6f94b5d92cf6d66111d9bce6d4f364d4f4e017d0334e9b9ca7dd0e26

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=sha256:06b08692f9b48cb3106a9f878a806281d154f8352aafc3add556fa81b5d6195f

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=sha256:205fc1be298c8012c5a520147a1f26d3f3f9ab7cc09e1f14bb0e0018c913ada4

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:c929a2f70fb8da31206baa5c8eedd6adbf9ebb2e54a024349ec83bf5e464f19b

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:be0ff2cbc368042c17a99d6e8f1e40105bcb71edfd15cf7d914036c269d7eb7d

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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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:7f9538f5c263ad1059aac7780c0b1f695fadb5c3628a83a34c36d1a90e084f52

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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source=pdf_text observed=2026-06-29T03:21:27.736505Z digest=sha256:4641062137db6f658eb306a1bbe2918ee65a241793635ff6e16ebe71ae8b3407

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=sha256:544c3397c31e7105284ff8cc799b88ad49cc06b962eaa33aa6164ab7f7b6777d

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.