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Paper Citation Record · LEDGER

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction

As of 11 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2601.20720.

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

pith.paper-citation-record.v1
2601.20720 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T07:18:13.529114Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0de3cb7f-176e-4e89-b880-0a7f744f5f25 · outbound

This paper cites Forecasting from lidar via future object detection,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Forecasting from lidar via future object detection,

Reference 1

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Observation 69e146d6-e0cb-48dc-be44-e19aba22054f · outbound

This paper cites Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Seeing through fog without seeing fog: Deep multi- modal sensor fusion in unseen adverse weather,

Reference 2

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Observation 77600e78-c334-4f4e-b532-242c9cf672cf · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 3

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Observation 668d88de-cff7-4078-937b-fcec0009b7c3 · outbound

This paper cites End-to-end object detection with transformers,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction End-to-end object detection with transformers,

Reference 4

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Observation e47102d4-8c3d-4d8e-be86-eacf33b79103 · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Detr3d: 3d object detection from multi-view images via 3d-to-2d queries,

Reference 5

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source=pdf_text observed=2026-08-03T07:18:11.353622Z digest=sha256:e53a6551d036c672a51d7a8c46c7be6a958fdecc827b25852a394e89a15e2a6d

Observation 2d4a59d9-4057-4716-95cc-a460314428e6 · outbound

This paper cites Vip3d: End-to-end visual trajectory prediction via 3d agent queries,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Vip3d: End-to-end visual trajectory prediction via 3d agent queries,

Reference 6

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Observation 8039f8fe-8058-481b-9fb3-4826ea758338 · outbound

This paper cites Social robots for road safety: Pedestrian crossing assis- tance use-case,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Social robots for road safety: Pedestrian crossing assis- tance use-case,

Reference 7

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source=pdf_text observed=2026-08-03T07:18:11.377559Z digest=sha256:f1d5402d9d2ba0c4261710b9c687de2f5fd8ff3e76356a148423999391319e77

Observation 8773a968-d809-4815-bc8d-b441c5b5a8e4 · outbound

This paper cites Robots for safer pedestrian crossing on two-lane roads,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Robots for safer pedestrian crossing on two-lane roads,

Reference 8

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source=pdf_text observed=2026-08-03T07:18:11.389879Z digest=sha256:1fd1159c71f9da2c404da454cbf1cbe9e83f77d8cfd460739961725daf7a2a9e

Observation fb9de17c-e1e1-4fa4-a454-a13aa69d579c · outbound

This paper cites Li-vip3d: Enhancing end- to-end perception and prediction with camera-lidar fusion,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Li-vip3d: Enhancing end- to-end perception and prediction with camera-lidar fusion,

Reference 9

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source=pdf_text observed=2026-08-03T07:18:11.403909Z digest=sha256:3bab84ec6a8a51c57db97437d70a61f10ef54f7e1857bf9855c0833d2d21e6dd

Observation 6d1d12ee-48cf-48bf-bc93-abb620d81b57 · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction A survey on trajectory-prediction methods for autonomous driving,

Reference 10

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Observation 94904278-f1d1-4ab0-b326-373ccf381d06 · outbound

This paper cites Valeo4Cast: A Modular Approach to End-to-End Forecasting.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Valeo4Cast: A Modular Approach to End-to-End Forecasting

Reference 11

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source=pdf_text observed=2026-08-03T07:18:11.440399Z digest=sha256:f4b8571a13b7569046887104f8d532d5a75c91cb020e718ba7846906a3bfe0b8

Observation 1f6a93c5-af34-450d-ad05-2d0b39b46414 · outbound

This paper cites Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Technical Report for Argoverse Challenges on Unified Sensor-based Detection, Tracking, and Forecasting

Reference 12

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Observation 9980985e-030f-4741-bf3f-3a26d18124da · outbound

This paper cites Motion forecasting via coordinate transfor- mations and object trajectory modifications,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Motion forecasting via coordinate transfor- mations and object trajectory modifications,

Reference 13

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source=pdf_text observed=2026-08-03T07:18:11.478445Z digest=sha256:a7d0eb757dff7cc04b14faa362978ed356da08925d2462252f9a22779e20e3a5

Observation 6148d1b8-66ac-49a0-8732-6e0cc04bc58d · outbound

This paper cites Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive?.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive?

Reference 14

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Observation daaba4f8-5ca7-4605-87fb-70b382a5bdad · outbound

This paper cites Single-filter cnn for vehicle recognition,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Single-filter cnn for vehicle recognition,

Reference 15

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Observation 7b06148e-a0df-40a4-ba20-d46172b69610 · outbound

This paper cites Ultra- fast visible lane distance estimation using a single camera,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Ultra- fast visible lane distance estimation using a single camera,

Reference 16

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Observation bb997230-a5d3-4cab-9c5e-941a37cc1b87 · outbound

This paper cites Fast and furious: Real time end- to-end 3d detection, tracking and motion forecasting with a single convolutional net,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Fast and furious: Real time end- to-end 3d detection, tracking and motion forecasting with a single convolutional net,

Reference 17

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Observation c77f471a-9d84-4a3b-bb8f-d170e9279039 · outbound

This paper cites Intentnet: Learning to predict intention from raw sensor data,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Intentnet: Learning to predict intention from raw sensor data,

Reference 18

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Observation 0a25815a-75b8-4843-ac7c-039b8ecaeee2 · outbound

This paper cites Pnpnet: End-to-end perception and prediction with tracking in the loop,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Pnpnet: End-to-end perception and prediction with tracking in the loop,

Reference 19

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source=pdf_text observed=2026-08-03T07:18:12.026580Z digest=sha256:26a6c908185a033ea560abb25c7769ff117164a89f73a800418adad58b564e09

Observation 461fcf43-bf31-4e6d-80f6-87d62e3464f2 · outbound

This paper cites End-to-end interpretable neural motion planner,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction End-to-end interpretable neural motion planner,

Reference 20

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Observation ea4bcd53-d12a-4318-b9a4-832befe4a716 · outbound

This paper cites Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Bevfusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 21

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Observation 4f54b488-4d82-4c96-807c-fa0fd3912d7b · outbound

This paper cites Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,

Reference 22

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Observation 26fa7183-a344-4d4b-9045-1cb1fd47093f · outbound

This paper cites Lgmmfusion: A lidar-guided multi-modal fusion framework for en- hanced 3d object detection,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Lgmmfusion: A lidar-guided multi-modal fusion framework for en- hanced 3d object detection,

Reference 23

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Observation 543dbfe0-1e8d-45d7-8dc3-e71598590fe9 · outbound

This paper cites Roboformer: A robust multi-modal transformer for 3d object detection in autonomous driving,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Roboformer: A robust multi-modal transformer for 3d object detection in autonomous driving,

Reference 24

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Observation 816fad43-443e-4c59-aaed-098061e8fb90 · outbound

This paper cites Intrinsically explainable deep learning architecture for semantic seg- mentation of histological structures in heart tissue,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Intrinsically explainable deep learning architecture for semantic seg- mentation of histological structures in heart tissue,

Reference 25

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source=pdf_text observed=2026-08-03T07:18:12.901818Z digest=sha256:3e6dbf037986b8dfcdbe85309238b868f1d1f6bef84a7a706db6d6e59545027e

Observation 6158916a-4692-4b78-bf4a-38a761d957e2 · outbound

This paper cites Cafuser: Condition-aware multimodal fusion for robust semantic perception of driving scenes,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Cafuser: Condition-aware multimodal fusion for robust semantic perception of driving scenes,

Reference 26

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source=pdf_text observed=2026-08-03T07:18:13.037567Z digest=sha256:9ef4e5e159e15f223e14e79ea368943cc2db66bb8ab452d548126db33afcf374

Observation ea80a45b-0784-45da-9621-51582eb1d0d7 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction nuscenes: A multimodal dataset for autonomous driving,

Reference 27

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source=pdf_text observed=2026-08-03T07:18:13.204355Z digest=sha256:089ee3d735f595e1e0c1531ddd6412b557b204623498fcb7a732c12d2cb3e610

Observation 6ea9da1b-6c6f-4555-a8cd-fdbc03b8b4f0 · outbound

This paper cites Deep residual learning for image recognition,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Deep residual learning for image recognition,

Reference 28

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source=pdf_text observed=2026-08-03T07:18:13.317717Z digest=sha256:562c95cc32003cb2c1dd1e708b4e8a43c88c16e45291fc3d0735947af94f13b7

Observation ed508f42-e6ed-4bd5-b88b-b030284d9349 · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Pointpillars: Fast encoders for object detection from point clouds,

Reference 29

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source=pdf_text observed=2026-08-03T07:18:13.364913Z digest=sha256:98b097fccb133f651127ca85d53345bc3a17236004a5b54b17b0abe4a19bbb54

Observation be32bded-a03e-47aa-9f6e-c95c0ddcc4ca · outbound

This paper cites Motr: End-to-end multiple-object tracking with transformer,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Motr: End-to-end multiple-object tracking with transformer,

Reference 30

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source=pdf_text observed=2026-08-03T07:18:13.447293Z digest=sha256:55237340e03bb20239f4396b34c28e397c50a51da03859125188843ccbc5c666

Observation cb1b743b-dbf3-473d-b6ec-1d14aa87f699 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation,.

Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation,

Reference 31

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