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Paper Citation Record · LEDGER

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

As of 12 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

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

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=sha256:1fd8ef24ffa55c5aeea977c9b9a43dc4f13654e9a8c93c1624efa7b91c58f12d

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:11c31775c4e0eff77ab14ab808e2d96f6c83832c95c59ab6ea117f8092806280

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:ec9c4981a30f4fb9ebfbd4b8af94309b8557609ed652533a6a890246763c5950

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=sha256:52767e713c14774307ca9492a67fdd4e6374b5c801334fa3a68f61bf51268235

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=sha256:8c78d26d7e34806867a70ac1d698d8c922c2dce1f5e1cbcea111ca1b5655e1af

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=sha256:3572f7fab2c7d1ee58241dfdb059a17f8a0afc0ca4c3e1b3e9772970bc376c73

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:de60dd6d9d433aa8cddf891f18b71d378c5f6e3659e6b25d3a14706d312e30eb

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:b6ab5df46daf21d33c2a17d493c22a8d6fdaf10be71d0fd1c622cb980faca1fd

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=sha256:0718b3afec70a8036ea1707803614469f3024d9cfb0779cdd7c7a955d3fa7e93

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:6f99cc745fe9241ac8a78bab807fc30eddace9cf001ed0c70172a7c06c3134ae

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=sha256:1d8f92d8663611cd6e0155dd327b895869bcfd93e095d95e497a3cd437b40d4f

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:ff10055cf73385b2868fb841790eb1d025c9a804a8368413b3094e9c46f3edaa

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:9d4628fbb5c2a772c32b9f6f1c1cf87d63ee6dd50517215c7940c3d4f0500c92

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=sha256:673017599077c6230894f2cad3c9f9c72ced93288fc1ec13f4d07f3ce0645ed6

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:48802e0a013c84e823ffe0b323e066596de7968c4093ca90317dad9e2d05db3e

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:f4605b84c7aa311cd44f6a0f3c0e6cf3260c83ae001818dbf8a540be94b3282b

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:fcbd80f945572a061e0c01ee90bd85315c41fccbd018491d7b9489b4eb439bbb

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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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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:4e91d35b9f5a7ddd06bce4cca339a82f4e9c60c45dd8fada453b50a499652115

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:c3cb2708794d0d0d625e0ac8d82f1e635916738d55879f81bff14e94c260e2e6

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:1811adb9f46990e3d60f2ea9b20ed2cc25475e8b6ca7b0e64a06fb09fcb0d785

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:06105f18de9373e99b84ddd8ff68de8dd82b3415b0c02c9855dba255a55ead44

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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source=pdf_text observed=2026-07-15T13:56:18.138249Z digest=sha256:1d3851414c92f6f1550ffd07b13a80bc091243305fb53b8ffb889a6e59e2406e

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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Pith citing papers

No inbound Pith citation observations are available.