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Paper Citation Record · LEDGER

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2603.06254.

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

pith.paper-citation-record.v1
2603.06254 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-15T13:56:18.138249Z

measured 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation 919bb5f9-d21b-47da-ae34-5426107485dd · outbound

This paper cites Open3DTrack: Towards open-vocabulary 3D multi- object tracking,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Open3DTrack: Towards open-vocabulary 3D multi- object tracking,

Reference 1

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Observation 800f9307-c261-4fdd-97eb-b779219ced25 · outbound

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

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving nuScenes: A multimodal dataset for autonomous driving,

Reference 2

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Observation b6916ec5-661b-45ef-a031-497ab7f89e92 · outbound

This paper cites V2X-Seq: A large-scale sequential dataset for vehicle- infrastructure cooperative perception and forecasting,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving V2X-Seq: A large-scale sequential dataset for vehicle- infrastructure cooperative perception and forecasting,

Reference 3

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Observation 52743953-079c-4e8c-8a21-a72c8da8f844 · outbound

This paper cites A survey of autonomous driving: Common practices and emerging technologies,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving A survey of autonomous driving: Common practices and emerging technologies,

Reference 4

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:753df323eedecc7e294678d80f143d41dcf3dac3015dae839a3b6dca0a2b2b24

Observation 9f776e3b-09b3-4837-8398-99fa6b2bbff2 · outbound

This paper cites AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics

Reference 5

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Observation b1544705-a768-4387-b911-68b9d86ab862 · outbound

This paper cites Towards long-tailed 3D detection,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Towards long-tailed 3D detection,

Reference 6

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:24ae1966105577550235076c1524352019565f2349035cfe5311056f6e750050

Observation fc477add-203e-4d20-a1e9-c86f0f103cb3 · outbound

This paper cites Towards open world recognition,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Towards open world recognition,

Reference 7

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:2811a5cb0a1ed4533e179d084d8562bc2256f1668eca0244f2682fb3780a4dd5

Observation 951b63b7-adbf-49bd-805d-c4b7006fe4ed · outbound

This paper cites Are we ready for autonomous driving? The KITTI vision benchmark suite,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Are we ready for autonomous driving? The KITTI vision benchmark suite,

Reference 8

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:2e15b5946b188f61cc5c57510c69e4a854c7a70a06aa5c5ddd30457a9de99928

Observation 5d2f9d36-3229-462a-b74b-6ceae91c0f50 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Learning transferable visual models from natural language supervision,

Reference 9

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:551c0a224a240b0f7be7f0e2c7496fa7d21457c6a05e2da0a62813e74934b6e5

Observation d1972aaa-f6d5-490d-b9a6-695a705793e2 · outbound

This paper cites Grounded language-image pre-training,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Grounded language-image pre-training,

Reference 10

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Observation 2ae97f2d-e72c-4aea-abe0-68aa5337527c · outbound

This paper cites OVTrack: Open-vocabulary multiple object tracking,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving OVTrack: Open-vocabulary multiple object tracking,

Reference 11

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:976ff47783302ed81d64d205baca4ad0e1b819046178a50ded6a8c453208c8ff

Observation 8cb092ba-0423-4549-9262-dc17a0081bf9 · outbound

This paper cites VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking

Reference 12

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:1c403f84ab8b1c04a8e91db1330b81d6babd2e491df95d1f30c0c823c12390e7

Observation d6cce70a-6bd4-46bb-83b0-06a77d91ec4a · outbound

This paper cites Center-based 3D object detection and tracking,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Center-based 3D object detection and tracking,

Reference 13

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Observation 1fd5d289-c24d-4ee2-b83c-1783a6c58bde · outbound

This paper cites EagerMOT: 3D multi-object tracking via sensor fusion,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving EagerMOT: 3D multi-object tracking via sensor fusion,

Reference 14

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:36b77824b56e3ea0a7636bbe39af1e86dba76eafd4a74265859dbc44218dad04

Observation b17e3104-c44c-412f-9b54-89cb76cadbe1 · outbound

This paper cites MCTrack: A unified 3D multi-object tracking framework for autonomous driving,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving MCTrack: A unified 3D multi-object tracking framework for autonomous driving,

Reference 15

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:5eb8c5e6e38c63bf373f701a9d143e2096cf5f4c494e26a1913623cd686913ab

Observation d172b9c2-e026-423b-8e94-41938baf03bd · outbound

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

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving PointPillars: Fast encoders for object detection from point clouds,

Reference 16

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Observation ed984af1-7553-4358-97bd-ef9a923c15b2 · outbound

This paper cites PV-RCNN: Point-voxel feature set abstraction for 3D object detection,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving PV-RCNN: Point-voxel feature set abstraction for 3D object detection,

Reference 17

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:6146a693481464a52db9db6a4eef6f7b4257a2c0a375c99934852cff61025837

Observation ddaee3dd-e51b-4929-9ac7-de6c156eb8c6 · outbound

This paper cites Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection,

Reference 18

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Observation bab5ed57-e015-4f84-9b71-953bb61b0712 · outbound

This paper cites YOLO- World: Real-time open-vocabulary object detection,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving YOLO- World: Real-time open-vocabulary object detection,

Reference 19

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Observation be765722-e499-4505-8380-bdd1702ccd20 · outbound

This paper cites PointCLIP: Point cloud understanding by CLIP,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving PointCLIP: Point cloud understanding by CLIP,

Reference 20

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Observation 984c6e4c-7843-421f-92cb-cae5b60cbb3c · outbound

This paper cites OpenScene: 3D scene understanding with open vocabularies,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving OpenScene: 3D scene understanding with open vocabularies,

Reference 21

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Observation 3013d54f-05d7-4944-a50b-1a56bb9c0599 · outbound

This paper cites ImOV3D: Learning open vocabulary point clouds 3D object detection from only 2D images,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving ImOV3D: Learning open vocabulary point clouds 3D object detection from only 2D images,

Reference 22

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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:42bcc63ca71a4433a29e1ab3f25d0c79ad1023f08356bbe42fe2676f9ca20bf5

Observation 7fd0536b-afd2-4a67-98d3-dbeaab9c009a · outbound

This paper cites FM-OV3D: Foundation model-based cross-modal knowledge blending for open-vocabulary 3D detection,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving FM-OV3D: Foundation model-based cross-modal knowledge blending for open-vocabulary 3D detection,

Reference 23

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Observation d8d3f7a0-bf1a-4fea-aafb-45e970ab1132 · outbound

This paper cites Find n’ propagate: Open-vocabulary 3D object detection in urban environments,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Find n’ propagate: Open-vocabulary 3D object detection in urban environments,

Reference 24

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Observation 32a2038d-8e5f-48cd-85d3-1680cf088915 · outbound

This paper cites CoDA: Collaborative novel box discovery and cross-modal alignment for open-vocabulary 3D object detection,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving CoDA: Collaborative novel box discovery and cross-modal alignment for open-vocabulary 3D object detection,

Reference 25

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Observation 60104232-6bad-4bc1-a853-dd87e4b5e6eb · outbound

This paper cites OVTR: End-to-end open-vocabulary multiple object tracking with transformer,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving OVTR: End-to-end open-vocabulary multiple object tracking with transformer,

Reference 26

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Observation ad30bc11-1896-445c-8485-4ba3594d490f · outbound

This paper cites Monocular multi-object 3D visual language tracking,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Monocular multi-object 3D visual language tracking,

Reference 27

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Observation 270d695d-a543-4838-aada-2ab2515bc403 · outbound

This paper cites Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection

Reference 28

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Observation 31c46e09-e390-49c1-9a6e-5bce750052d9 · outbound

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

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving BEVFusion: Multi-task multi-sensor fusion with unified bird’s-eye view representation,

Reference 29

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Observation 8031ea4a-dcff-4049-a26f-c04ee20f4f13 · outbound

This paper cites Recurrent autoregressive networks for online multi-object tracking,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Recurrent autoregressive networks for online multi-object tracking,

Reference 30

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Observation e6b25d07-4640-4fe5-b4a5-8520e84b9ba9 · outbound

This paper cites TrackFormer: Multi-object tracking with transformers,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving TrackFormer: Multi-object tracking with transformers,

Reference 31

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Observation 3ad44fdd-9b20-43b2-99af-1e5bc7e25ff6 · outbound

This paper cites 3DMOT- Former: Graph transformer for online 3D multi-object tracking,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving 3DMOT- Former: Graph transformer for online 3D multi-object tracking,

Reference 32

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Observation 20520131-2c71-46d6-9be8-df3929301cc3 · outbound

This paper cites TrackFusion: Enhancing multi-object tracking with temporal trajectory modeling and frame-integrated detection,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving TrackFusion: Enhancing multi-object tracking with temporal trajectory modeling and frame-integrated detection,

Reference 33

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Observation 466598ff-ebc4-4243-9934-0709bdcbab91 · outbound

This paper cites AR-MOT: Autoregressive multi-object tracking,.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving AR-MOT: Autoregressive multi-object tracking,

Reference 34

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Observation f722ec7c-de23-454f-910a-45e03b88522d · outbound

This paper cites Tracking Meets Large Multimodal Models for Driving Scenario Understanding.

NOVA: Next-step Open-Vocabulary Autoregression for 3D Multi-Object Tracking in Autonomous Driving Tracking Meets Large Multimodal Models for Driving Scenario Understanding

Reference 35

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