Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T13:09:16.091741Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.04812.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T13:09:16.091741Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3921291e-4caa-4e84-b5c8-489c48bd2c8c · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Intentnet: Learning to predict intention from raw sensor data,
Reference 1
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Observation e66280e1-5c93-4b6d-80ac-7c8d04062adc · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Reference 2
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Observation 53338978-2e88-4a97-8549-b3db41fb7110 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Efficient baselines for motion prediction in autonomous driving,
Reference 3
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Observation 61cc1232-bf73-4d86-bef7-d870ec9fd81a · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving FIERY: Future instance segmentation in bird’s-eye view from surround monocular cameras,
Reference 4
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Observation 2734260b-57c0-4945-8996-f088bacb003f · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Powerbev: A powerful yet lightweight framework for instance prediction in bird’s-eye view,
Reference 5
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Observation 709f2c87-d141-407b-9f10-14f0f507d032 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Fast and efficient transformer- based method for bird’s eye view instance prediction,
Reference 6
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Observation 8fb7bc6e-0006-4e34-b8b8-e1b5d61f965d · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Learning transferable visual models from natural language supervision,
Reference 7
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Observation 8ba7f202-ceaf-40de-a416-636d5055e4ec · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Segment anything,
Reference 8
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Observation 24bb9ffc-2a5d-4111-9562-02feec16e6db · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Pop-3d: Open-vocabulary 3d occupancy prediction from images,
Reference 9
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Observation 0a82a82b-2dbc-491f-aa48-3b322082a27c · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving nuScenes: A multimodal dataset for autonomous driving
Reference 10
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Observation 0d2b35cb-3803-4f96-8640-ebafca303d44 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Scaling up visual and vision-language representation learning with noisy text supervision,
Reference 11
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Observation 7f557005-6f63-4a70-8a5c-d0dcd2bea5db · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Sigmoid loss for language image pre-training,
Reference 12
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Observation 74775c49-3507-45e3-ab64-5161072d25fb · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 13
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Observation d84e936c-4ab5-4f6b-944a-5ab7f77cc296 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Maskclip: Masked self-distillation advances contrastive language-image pretraining,
Reference 14
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Observation 6cbdde72-e9e7-413b-801f-24cf06d0d4c8 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Zegclip: Towards adapting clip for zero-shot semantic segmentation,
Reference 15
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Observation 4f2bc3d3-b42c-4fbf-9c84-4ebb9c8526c8 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Emerging properties in self-supervised vision transformers,
Reference 16
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Observation e670de08-2844-4363-b910-bf956e78cae9 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving DINOv2: Learning Robust Visual Features without Supervision
Reference 17
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Observation 680bd8ac-e051-44d2-b0d3-9ff091083a12 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving DINOv3
Reference 18
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Observation e3d73cad-fb8c-470b-bd91-d24e97297041 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving SAM 2: Segment Anything in Images and Videos
Reference 19
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Observation dc6bf809-671c-4b02-8de0-ebdfcff047c1 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving SAM 3: Segment Anything with Concepts
Reference 20
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Observation c9c97a69-7ed4-4510-a386-2defd39581cf · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Visual instruction tuning,
Reference 21
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Observation 4603b61e-b8c0-42a3-a6c0-b537cabd0cda · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
Reference 22
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Observation 95c717bc-5e48-4cbb-9cf7-b96077342bae · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 23
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Observation 5dd3991a-3ea1-44e4-a132-2826b675b821 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Reference 24
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Observation cd5a015d-154a-4491-b36b-8f3b51b74012 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Openworld- sam: Extending sam2 for universal image segmentation with language prompts,
Reference 25
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Observation ae0ec5f4-c605-4f68-bed1-1c55a22e3af6 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Lposs: Label propagation over patches and pixels for open-vocabulary semantic segmentation,
Reference 26
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Observation 6d11d4e9-86cd-47cb-940a-72b87e18d0af · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Tri-perspective view for vision-based 3d semantic occupancy prediction,
Reference 27
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Observation 2f537d4e-49e0-4a39-b652-d70b0a77a5f9 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Occformer: Dual-path transformer for vision-based 3d semantic occupancy prediction,
Reference 28
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Observation d271e12f-b085-4d5c-8765-f73768221851 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving OVO: Open-Vocabulary Occupancy
Reference 29
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Observation fa287471-8b59-4449-a89a-a10f6b183dff · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Talk2bev: Language-enhanced bird’s-eye view maps for autonomous driving,
Reference 30
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Observation 7508fd87-3572-45b1-984b-c7c6831cdf9f · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Bevformer: learning bird’s-eye-view representation from lidar- camera via spatiotemporal transformers,
Reference 31
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Observation 49d1b76b-1bda-4ef2-bdbb-9fbfba627d9f · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Bevsegformer: Bird’s eye view semantic segmentation from arbitrary camera rigs,
Reference 32
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Observation 0210e984-dcb2-4473-8cad-a42bdbb1eb3d · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Gaussiancar: Gaussian splatting for efficient camera-radar fusion,
Reference 33
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Observation c7def5a8-c9b9-4ade-a357-67d9b656b04e · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Pointbev: A sparse approach for bev predictions,
Reference 34
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Observation f81a2f64-c9f5-4749-aadc-015305f294c2 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Fb- bev: Bev representation from forward-backward view transformations,
Reference 35
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Observation d78088c5-e12f-4a6d-9cea-82555afdc2af · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Is ego status all you need for open-loop end-to-end autonomous driving?
Reference 36
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Observation 0fcdcda7-f56a-4aba-8a53-588e19ab186b · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Lmdrive: Closed-loop end-to-end driving with large language models,
Reference 37
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Observation d78f862e-e468-49b8-a8a9-7aec7fb333e9 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving
Reference 38
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Observation 71531627-045e-4352-851c-aa9100e5aafe · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Safety-enhanced autonomous driving using interpretable sensor fusion transformer,
Reference 39
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Observation 3d484879-c3e3-4640-9468-fa183e86bafd · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Reasonnet: End-to-end driving with temporal and global reasoning,
Reference 40
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Observation 4dc0a4f8-3440-4985-8760-f612a015dfd1 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Vectornet: Encoding hd maps and agent dynamics from vectorized representation,
Reference 41
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Observation 7af982be-9dee-4278-934d-7590c2c96c22 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Learning lane graph representations for motion forecasting,
Reference 42
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Observation bfc5475a-f142-43d3-ab72-e7b4b89ba658 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Scene Transformer: A unified architecture for predicting multiple agent trajectories
Reference 43
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Observation 07526994-2c71-4a67-8023-37a42a7174fd · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Hivt: Hierarchical vector transformer for multi-agent motion prediction,
Reference 44
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Observation 3864c6e5-ed82-47c0-8a4e-d2827e2ae8aa · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Motion transformer with global intention localization and local movement refinement,
Reference 45
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Observation a95697ae-e0cf-480a-8bf5-5ff9d0feca2f · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Query-centric trajectory prediction,
Reference 46
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Observation ad10ffbe-2458-40cd-8830-15197e6f4eb4 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Vip3d: End-to-end visual trajectory prediction via 3d agent queries,
Reference 47
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Observation 8568be9b-3466-4aa9-8321-1af372421a78 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Detra: A unified model for object detection and trajectory forecasting,
Reference 48
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Observation e89f1159-f755-423c-bc49-539ce8763614 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
Reference 49
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Observation c476862e-1f45-4998-9102-d6fe456a7cef · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Stretchbev: Stretching future instance prediction spatially and temporally,
Reference 50
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Observation ec62347d-6be3-4cc0-9f28-9e7a1f2ce359 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,
Reference 51
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Observation b0427ed1-77a7-460b-b9a0-0698cf148789 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Dmp: Difference-guided motion prediction for vision-centric autonomous driving,
Reference 52
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Observation 60fbeb17-931b-4f24-af3b-df011f6dc5d4 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving BEVPredFormer: Spatio-temporal Attention for BEV Instance Prediction in Autonomous Driving
Reference 53
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Observation 4c762c00-d2a9-4bef-a0fd-1275d08116a5 · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving Efficientvit: Memory efficient vision transformer with cascaded group attention,
Reference 54
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Observation baab87fe-4eb1-4308-9e39-0041a567294b · outbound
TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,
Reference 55
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No inbound Pith citation observations are available.