Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:29:35.783924Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2412.02447.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-11T23:29:35.783924Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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
92 of 92 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b080953d-749c-48d3-afab-109ecf8f0906 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations So- cial lstm: Human trajectory prediction in crowded spaces
Reference 1
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Observation 58fe3e22-f435-49c2-bb0a-820aa4ba97e6 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Learning to predict human behavior in crowded scenes
Reference 2
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Modelling shared space users via rule- based social force model
Reference 3
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Can language beat numerical regression? language-based multimodal tra- jectory prediction
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations nuScenes: A multimodal dataset for autonomous driving
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations nuscenes: A multi- modal dataset for autonomous driving
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Reference 8
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Personalized trajectory prediction via distri- bution discrimination
Reference 9
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Scept: Scene-consistent, policy-based trajectory predictions for planning
Reference 10
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Enhancing trajec- tory prediction through self-supervised waypoint distortion prediction
Reference 11
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations LG-Traj: LLM Guided Pedestrian Trajectory Prediction
Reference 12
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Observation 4b1cf676-6586-483f-a5f1-827c04ddc99b · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Ms-tip: Imputation aware pedestrian trajectory prediction
Reference 13
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Dice: Diverse dif- fusion model with scoring for trajectory prediction
Reference 14
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Observation 59115651-04dc-4930-a53b-2dabf0dd5d7a · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Complementary attention gated network for pedestrian trajectory prediction
Reference 15
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Observation 368c2023-6a62-4c2d-a0d6-bcb88069d867 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Soft+ hardwired attention: An lstm frame- work for human trajectory prediction and abnormal event de- tection
Reference 16
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Observation 6a33258e-1eff-491f-b93d-41b675c14e20 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Causal inter- vention for human trajectory prediction with cross attention mechanism
Reference 17
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Observation 144f9f30-9a6e-42da-af83-866514efabac · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Investigating causal relations by econo- metric models and cross-spectral methods
Reference 18
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Social gan: Socially acceptable tra- jectories with generative adversarial networks
Reference 19
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Social force model for pedestrian dynamics
Reference 20
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Stgat: Modeling spatial-temporal interactions for human trajectory prediction
Reference 21
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Reference 22
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Structural-rnn: Deep learning on spatio-temporal graphs
Reference 23
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations A style-based generator architecture for generative adversarial networks
Reference 24
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Prob- abilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Semi-Supervised Classification with Graph Convolutional Networks
Reference 26
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Observation a5e04ff0-de99-4428-8ebc-b9d410e67639 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Social- bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks
Reference 27
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Observation 33416706-9a77-4912-8f69-9e9a4be5de4f · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Safety-compliant gener- ative adversarial networks for human trajectory forecasting
Reference 28
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Observation e5d782a2-a518-4fcd-92ab-0a8e202f0b42 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Muse- vae: Multi-scale vae for environment-aware long term tra- jectory prediction
Reference 29
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Desire: Distant future prediction in dynamic scenes with interacting agents
Reference 30
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Observation 17c313f9-4e1c-4e0a-8992-335178752b8e · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Crowds by example
Reference 31
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Rain: Reinforced hybrid attention inference network for motion forecasting
Reference 32
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Graph- based spatial transformer with memory replay for multi- future pedestrian trajectory prediction
Reference 33
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Observation 4edc71a2-e2ad-4dd6-b41e-0346ae147a44 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Bcdiff: Bidirectional consistent diffusion for instantaneous trajectory prediction
Reference 34
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Observation 0136e8ca-fc66-4994-a9b1-5e56098fedf0 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Spatial-temporal consistency network for low-latency trajec- tory forecasting
Reference 35
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Observation c71a79e3-0baf-4b7a-b542-527936fd370d · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Peeking into the future: Predict- ing future person activities and locations in videos
Reference 36
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Simaug: Learning robust representations from simulation for trajec- tory prediction
Reference 37
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Progressive pretext task learning for human tra- jectory prediction
Reference 38
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Nba player movements
Reference 39
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Observation cdaf6482-7fdb-4dd0-9981-985382c0f0ce · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Avgcn: Trajectory prediction using graph convolutional net- works guided by human attention
Reference 40
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Uncertainty-aware pedestrian trajectory pre- diction via distributional diffusion
Reference 41
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations People tracking with human motion predictions from social forces
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Observation 1b63ab93-7a28-4e4f-afae-7e45efe4e5ee · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Skgacn: social knowledge-guided graph attention convolutional network for human trajectory prediction
Reference 43
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Trafficpredict: Trajec- tory prediction for heterogeneous traffic-agents
Reference 44
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Fast inference and update of probabilistic density estimation on trajectory pre- diction
Reference 45
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
Reference 46
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Observation 0f05f509-a2c6-408c-9298-027d7f4940b6 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations It is not the journey but the destination: Endpoint conditioned trajectory prediction
Reference 47
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations From goals, waypoints & paths to long term hu- man trajectory forecasting
Reference 48
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations History repeats itself: Human motion prediction via motion atten- tion
Reference 49
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Leapfrog diffusion model for stochastic trajec- tory prediction
Reference 50
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Smemo: social memory for trajec- tory forecasting
Reference 51
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Ab- normal crowd behavior detection using social force model
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction
Reference 53
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Variational autoencoder-based vehicle trajectory prediction with an interpretable latent space
Reference 54
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations T4p: Test-time training of tra- jectory prediction via masked autoencoder and actor-specific token memory
Reference 55
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations You’ll never walk alone: Modeling social be- havior for multi-target tracking
Reference 56
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations What truly matters in trajectory pre- diction for autonomous driving? Advances in Neural Infor- mation Processing Systems, 36, 2024
Reference 57
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Holistic lstm for pedestrian trajectory prediction
Reference 58
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Goal-directed pedestrian prediction
Reference 59
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Pedestrian prediction by planning using deep neu- ral networks
Reference 60
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Learning social etiquette: Human tra- jectory understanding in crowded scenes
Reference 61
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Human trajectory prediction and gen- eration using lstm models and gans
Reference 62
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Reference 63
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Sophie: An attentive gan for predicting paths compliant to social and physical constraints
Reference 64
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations ArTIST: Autoregressive Trajectory Inpainting and Scoring for Tracking
Reference 65
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Reference 66
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Introvert: Human trajectory prediction via conditional 3d attention
Reference 67
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Representing multimodal behaviors with mean location for pedestrian tra- jectory prediction
Reference 68
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Reference 69
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations A unified environmental network for pedestrian trajec- tory prediction
Reference 70
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Observation 65e38c59-54d8-46b0-ae50-31e774620b16 · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Goal-driven long- term trajectory prediction
Reference 71
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Observation 7fca1b7e-2596-47cc-b59b-d876eb27c15c · outbound
Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Attention is all you need
Reference 72
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Social attention: Modeling attention in human crowds
Reference 73
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Reference 74
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Reference 75
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Msn: multi-style network for trajectory predic- tion
Reference 76
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Reference 77
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Reference 78
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations Another Vertical View: A Hierarchical Network for Heterogeneous Trajectory Prediction via Spectrums
Reference 79
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Reference 80
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Reference 81
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Reference 82
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Reference 83
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Reference 84
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Reference 85
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Reference 86
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Reference 87
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Reference 88
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Reference 89
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Reference 90
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Reference 91
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Resonance: Learning to Predict Social-Aware Pedestrian Trajectories as Co-Vibrations ADE” and “FDE
Reference 92
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No inbound Pith citation observations are available.