Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-15T00:16:35.376647Z
Paper Citation Record · LEDGER
Class-Incremental Motion Forecasting
As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2603.09420.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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
Reference resolution
52 of 52 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 88803809-bd61-41a8-82e4-c12efa42ca2f · outbound
This paper cites Lifelong vehicle trajectory prediction frame- work based on generative replay.IEEE Transactions on Intelligent Transportation Systems, 24(12):13729–13741, 2023.
Class-Incremental Motion Forecasting Lifelong vehicle trajectory prediction frame- work based on generative replay.IEEE Transactions on Intelligent Transportation Systems, 24(12):13729–13741, 2023
Reference 1
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Unavailable: canonical work link unavailable.
Observation e177eb54-968d-4698-9b97-294514dab826 · outbound
This paper cites nuscenes: A multimodal dataset for autonomous driving.
Class-Incremental Motion Forecasting nuscenes: A multimodal dataset for autonomous driving
Reference 2
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Observation 7de249cf-dd1d-4414-baea-519ccf37d009 · outbound
This paper cites The importance of prior knowledge in precise multimodal prediction.
Class-Incremental Motion Forecasting The importance of prior knowledge in precise multimodal prediction
Reference 3
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Observation 62ad439a-0621-42d3-9f6a-094c61614421 · outbound
This paper cites Modeling the background for incremental learning in semantic segmentation.
Class-Incremental Motion Forecasting Modeling the background for incremental learning in semantic segmentation
Reference 4
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Unavailable: canonical work link unavailable.
Observation 3f55c888-ada4-426a-82fd-b1a325bbfebb · outbound
This paper cites Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted interactions.
Class-Incremental Motion Forecasting Traphic: Trajectory prediction in dense and heterogeneous traffic using weighted interactions
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfd2b5ac-36cf-4df8-80b7-95419c1ef232 · outbound
This paper cites A new knowledge distillation for incremental object detection.
Class-Incremental Motion Forecasting A new knowledge distillation for incremental object detection
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e5ca73c-f299-4c14-976f-8bcb58dc8f42 · outbound
This paper cites Modeling vehicle interactions via modified lstm models for trajectory prediction.Ieee Access, 7:38287–38296, 2019.
Class-Incremental Motion Forecasting Modeling vehicle interactions via modified lstm models for trajectory prediction.Ieee Access, 7:38287–38296, 2019
Reference 7
- Resolution
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- no resolver link, observed 2026-07-15T00:16:35.376647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a82fdc1-a19d-4542-8f4f-7881c975cad0 · outbound
This paper cites Convolutional social pooling for vehicle trajectory prediction.
Class-Incremental Motion Forecasting Convolutional social pooling for vehicle trajectory prediction
Reference 8
- Resolution
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- no resolver link, observed 2026-07-15T00:16:35.376647Z
Source-reported events for the cited work
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Observation 98f4bd39-9a78-4122-b131-c234df518a74 · outbound
This paper cites Multi-modal tra- jectory prediction of surrounding vehicles with maneuver based lstms.
Class-Incremental Motion Forecasting Multi-modal tra- jectory prediction of surrounding vehicles with maneuver based lstms
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be4b71b7-7020-4426-a447-d6a1ecf9ee91 · outbound
This paper cites Motion forecasting via model-based risk minimization.
Class-Incremental Motion Forecasting Motion forecasting via model-based risk minimization
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T00:16:35.376647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c78c43b-79f4-4edc-afca-d4c9819b625a · outbound
This paper cites Stochasticity in motion: An information-theoretic approach to trajectory prediction.
Class-Incremental Motion Forecasting Stochasticity in motion: An information-theoretic approach to trajectory prediction
Reference 11
- Resolution
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- no resolver link, observed 2026-07-15T00:16:35.376647Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ae319cf-b250-431e-baad-4ed08c6f15a3 · outbound
This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation.
Class-Incremental Motion Forecasting Vectornet: Encoding hd maps and agent dynamics from vectorized representation
Reference 12
- Resolution
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- no resolver link, observed 2026-07-15T00:16:35.376647Z
Source-reported events for the cited work
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Observation c2bdc36e-c016-4da6-b8dc-21c903eff493 · outbound
This paper cites Vip3d: End-to- end visual trajectory prediction via 3d agent queries.
Class-Incremental Motion Forecasting Vip3d: End-to- end visual trajectory prediction via 3d agent queries
Reference 13
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d5e3dd1-7824-4f47-9439-5c7ce7f688d6 · outbound
This paper cites Deep residual learning for image recognition.
Class-Incremental Motion Forecasting Deep residual learning for image recognition
Reference 14
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fd15666-36ed-46da-bc8f-e0cbb33cd065 · outbound
This paper cites Taxonomy-aware continual semantic segmentation in hyperbolic spaces for open-world perception.IEEE Robotics and Automation Letters, 10(2):1904–1911, 2024.
Class-Incremental Motion Forecasting Taxonomy-aware continual semantic segmentation in hyperbolic spaces for open-world perception.IEEE Robotics and Automation Letters, 10(2):1904–1911, 2024
Reference 15
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Unavailable: canonical work link unavailable.
Observation 8cf1916e-7607-449c-a209-3955419de717 · outbound
This paper cites Fiery: Future instance prediction in bird’s-eye view from surround monocular cameras.
Class-Incremental Motion Forecasting Fiery: Future instance prediction in bird’s-eye view from surround monocular cameras
Reference 16
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9adbfba0-23c7-4640-bf41-9585a894d7ce · outbound
This paper cites Planning-oriented autonomous driving.
Class-Incremental Motion Forecasting Planning-oriented autonomous driving
Reference 17
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 560dd106-1edc-42b7-af25-6b2ed4c74844 · outbound
This paper cites Multi-modal motion prediction with transformer-based neural network for autonomous driving.
Class-Incremental Motion Forecasting Multi-modal motion prediction with transformer-based neural network for autonomous driving
Reference 18
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Unavailable: canonical work link unavailable.
Observation ea01a4f3-8e99-447d-8a75-603341f60acb · outbound
This paper cites Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction.
Class-Incremental Motion Forecasting Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 585513ed-8d0f-407e-bcd1-20a5f3e52797 · outbound
This paper cites Far3d: Expanding the horizon for surround-view 3d object detection.
Class-Incremental Motion Forecasting Far3d: Expanding the horizon for surround-view 3d object detection
Reference 20
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2141bf8-1631-4d32-920a-40338722f288 · outbound
This paper cites Towards open world object detection.
Class-Incremental Motion Forecasting Towards open world object detection
Reference 21
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29a14985-3a92-410a-8995-4ea31ccb6b3b · outbound
This paper cites Con- tinual learning for motion prediction model via meta- representation learning and optimal memory buffer reten- tion strategy.
Class-Incremental Motion Forecasting Con- tinual learning for motion prediction model via meta- representation learning and optimal memory buffer reten- tion strategy
Reference 22
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80a52b01-fb85-4fb9-b527-81af802a46d0 · outbound
This paper cites An energy and gpu-computation efficient backbone network for real-time object detection.
Class-Incremental Motion Forecasting An energy and gpu-computation efficient backbone network for real-time object detection
Reference 23
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5026ae4e-2d80-4338-82ff-3f31431fd0d6 · outbound
This paper cites DECODE: Domain-aware Continual Domain Expansion for Motion Prediction.
Class-Incremental Motion Forecasting DECODE: Domain-aware Continual Domain Expansion for Motion Prediction
Reference 24
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e266b087-f408-4919-946d-ae15c4fc6f5a · outbound
This paper cites End-to- end contextual perception and prediction with interaction transformer.
Class-Incremental Motion Forecasting End-to- end contextual perception and prediction with interaction transformer
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f45e8875-5b2d-4fd3-b392-76b878d84992 · outbound
This paper cites Learning lane graph representations for motion forecasting.
Class-Incremental Motion Forecasting Learning lane graph representations for motion forecasting
Reference 26
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98545164-889c-4543-ba78-9b8eba6a263c · outbound
This paper cites Sparse4D v3: Advancing End-to-End 3D Detection and Tracking.
Class-Incremental Motion Forecasting Sparse4D v3: Advancing End-to-End 3D Detection and Tracking
Reference 27
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f7413ba-50ad-42ea-8796-043192961c8c · outbound
This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.
Class-Incremental Motion Forecasting Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Reference 28
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Unavailable: canonical work link unavailable.
Observation f3998bd9-b66d-4a2d-a8ee-0780a836b515 · outbound
This paper cites Multi-Task Incremental Learning for Object Detection.
Class-Incremental Motion Forecasting Multi-Task Incremental Learning for Object Detection
Reference 29
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Observation fd253679-7d14-439e-80f2-3947c9816682 · outbound
This paper cites Continual detection transformer for incremen- tal object detection.
Class-Incremental Motion Forecasting Continual detection transformer for incremen- tal object detection
Reference 30
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67ebb54e-167e-47b7-811b-61af08d7350d · outbound
This paper cites Multimodal motion prediction with stacked transformers.
Class-Incremental Motion Forecasting Multimodal motion prediction with stacked transformers
Reference 31
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Observation a65f2e22-9821-42a3-ba58-c7aa30e5372c · outbound
This paper cites Cooler: class-incremental learning for appearance-based multiple object tracking.
Class-Incremental Motion Forecasting Cooler: class-incremental learning for appearance-based multiple object tracking
Reference 32
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Observation 102b294f-b881-482c-a080-75bcfc3d4df7 · outbound
This paper cites Decoupled weight decay regularization.
Class-Incremental Motion Forecasting Decoupled weight decay regularization
Reference 33
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31f3a86a-f93e-41f9-872b-77bbe7fc8349 · outbound
This paper cites Evidential uncertainty estimation for multi-modal trajectory prediction.
Class-Incremental Motion Forecasting Evidential uncertainty estimation for multi-modal trajectory prediction
Reference 34
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccf2fc91-ccf9-4eca-8331-f788d92e42d4 · outbound
This paper cites Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.
Class-Incremental Motion Forecasting Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Reference 35
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c81af6e-76bd-4576-9808-1dacdc8cf087 · outbound
This paper cites Forecasting from lidar via future object detection.
Class-Incremental Motion Forecasting Forecasting from lidar via future object detection
Reference 36
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Source-reported events for the cited work
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Observation f916142f-8135-4e18-9218-93869c430781 · outbound
This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.
Class-Incremental Motion Forecasting Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
Reference 37
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Source-reported events for the cited work
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Observation f2cbabfe-3f48-4683-aa59-cabeb83a6823 · outbound
This paper cites Incremental learning of object detectors without catastrophic forgetting.
Class-Incremental Motion Forecasting Incremental learning of object detectors without catastrophic forgetting
Reference 38
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Observation 886808d4-d67f-4114-a30d-46f06299f229 · outbound
This paper cites DINOv3.
Reference 39
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Observation b59988b1-6002-47a2-b692-29ba560d9f25 · outbound
This paper cites Sparsedrive: End-to-end autonomous driving via sparse scene representation.
Class-Incremental Motion Forecasting Sparsedrive: End-to-end autonomous driving via sparse scene representation
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17e91677-7f59-4c2c-ad1d-e82b2ee4c969 · outbound
This paper cites Covio: Online continual learning for visual-inertial odometry.
Class-Incremental Motion Forecasting Covio: Online continual learning for visual-inertial odometry
Reference 41
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Observation f78c23f7-d84e-413b-b162-e2ccd7f4a49d · outbound
This paper cites Codeps: Online continual learning for depth estimation and panoptic segmentation.
Class-Incremental Motion Forecasting Codeps: Online continual learning for depth estimation and panoptic segmentation
Reference 42
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Observation 17d6b14f-a8a8-4676-b59f-74a49a679d33 · outbound
This paper cites Parkdiffusion: Heterogeneous multi- agent multi-modal trajectory prediction for automated parking using diffusion models.
Class-Incremental Motion Forecasting Parkdiffusion: Heterogeneous multi- agent multi-modal trajectory prediction for automated parking using diffusion models
Reference 43
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Observation b31b7f6c-2cd6-4338-96dd-2f847c5b6374 · outbound
This paper cites Parkdiffusion++: Ego intention conditioned joint multi-agent trajectory prediction for automated parking using diffusion models.arXiv preprint arXiv:2602.20923, 2026.
Class-Incremental Motion Forecasting Parkdiffusion++: Ego intention conditioned joint multi-agent trajectory prediction for automated parking using diffusion models.arXiv preprint arXiv:2602.20923, 2026
Reference 44
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Observation e00efccb-cb14-4459-87ee-02eb1490700c · outbound
This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting.
Class-Incremental Motion Forecasting Argoverse 2: Next generation datasets for self-driving perception and forecasting
Reference 45
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d18d01d-cd57-4425-9991-efd542a9cdb3 · outbound
This paper cites Motion trajectory prediction based on a cnn-lstm sequential model.Science China Information Sciences, 63(11):212207, 2020.
Class-Incremental Motion Forecasting Motion trajectory prediction based on a cnn-lstm sequential model.Science China Information Sciences, 63(11):212207, 2020
Reference 46
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Unavailable: canonical work link unavailable.
Observation 7184476d-41d2-4a1e-ac81-86244289b9be · outbound
This paper cites Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive? In Int.
Class-Incremental Motion Forecasting Towards motion forecasting with real-world perception inputs: Are end-to-end approaches competitive? In Int
Reference 47
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Unavailable: canonical work link unavailable.
Observation cca0b00e-0e75-465b-a64e-d00adf45cccc · outbound
This paper cites Multi-view correlation distillation for incremental object detection.
Class-Incremental Motion Forecasting Multi-view correlation distillation for incremental object detection
Reference 48
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Observation 7746fbf4-d200-4d1f-b412-425e35ee4372 · outbound
This paper cites Vehicle motion prediction at intersections based on the turning intention and prior trajectories model.
Class-Incremental Motion Forecasting Vehicle motion prediction at intersections based on the turning intention and prior trajectories model
Reference 49
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Observation c9564b7f-74f6-4bc5-991a-b21ea1904027 · outbound
This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.
Class-Incremental Motion Forecasting BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
Reference 50
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Observation d0da6e99-76bf-49ee-8a9b-1199b936c859 · outbound
This paper cites Hivt: Hierarchical vector transformer for multi- agent motion prediction.
Class-Incremental Motion Forecasting Hivt: Hierarchical vector transformer for multi- agent motion prediction
Reference 51
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Observation fa17dcb0-c14a-44ac-8870-6622c6e49da3 · outbound
This paper cites A recurrent neural network solution for predicting driver intention at unsignalized intersections.IEEE Robotics and Automation Letters, 3(3):1759–1764, 2018.
Class-Incremental Motion Forecasting A recurrent neural network solution for predicting driver intention at unsignalized intersections.IEEE Robotics and Automation Letters, 3(3):1759–1764, 2018
Reference 52
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Pith citing papers
No inbound Pith citation observations are available.