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Paper Citation Record · LEDGER

Scene Transformer: A unified architecture for predicting multiple agent trajectories

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2106.08417.

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

pith.paper-citation-record.v1
2106.08417 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:26:50.336100Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-03T14:28:32.010516Z

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Outbound references

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Pith citing papers

Observation 2482956e-1ad8-4701-a671-8fb30a950ed6 · inbound

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning cites this paper.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 36

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arxiv_id, observed 2026-05-24T03:18:49.459118Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 944f5ab4-9c7f-4415-8971-786ace48a48a · inbound

Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving cites this paper.

Planning by Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 32

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arxiv_id, observed 2026-05-23T17:38:15.935396Z

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Observation 5f45faff-b100-4ec4-a174-b9e33cb7a4ac · inbound

Surprise Potential as a Measure of Interactivity in Driving Scenarios cites this paper.

Surprise Potential as a Measure of Interactivity in Driving Scenarios Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 24

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Observation b84459c9-ef79-4d5e-8191-f46a877b9ff4 · inbound

Online Aggregation of Trajectory Predictors cites this paper.

Online Aggregation of Trajectory Predictors Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 46

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Observation b372b0a2-eb55-4e9a-98e5-5d89005e4911 · inbound

Predictive Planner for Autonomous Driving with Consistency Models cites this paper.

Predictive Planner for Autonomous Driving with Consistency Models Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 31

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Observation 60bec56d-254c-4004-a4ce-b8a4eb0ecc2b · inbound

Poly-Autoregressive Prediction for Modeling Interactions cites this paper.

Poly-Autoregressive Prediction for Modeling Interactions Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 35

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Observation a4bde924-92f6-4428-8fca-28582f1f70be · inbound

Rolling Ahead Diffusion for Traffic Scene Simulation cites this paper.

Rolling Ahead Diffusion for Traffic Scene Simulation Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 19

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source=arxiv_source observed=2026-08-07T21:03:25.962122Z digest=sha256:962c21e7e1ea3a6888137e7b02b82a1fac8e0877a68bd4dcac32ac07a88bddf1

Observation 56fd1171-cf96-4879-8ffd-493d4f656378 · inbound

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning cites this paper.

HAMF: A Hybrid Attention-Mamba Framework for Joint Scene Context Understanding and Future Motion Representation Learning Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 6

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Observation 76cf3143-9ccf-425a-9d28-24f0513ac1df · inbound

Generative AI for Autonomous Driving: A Review cites this paper.

Generative AI for Autonomous Driving: A Review Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 106

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Observation ddc67b65-ab28-4ff8-ac1f-115accf8ad68 · inbound

Scaling Laws of Motion Forecasting and Planning -- Technical Report cites this paper.

Scaling Laws of Motion Forecasting and Planning -- Technical Report Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 22

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source=pdf_text observed=2026-08-07T05:23:32.339301Z digest=sha256:bbc868ba8924c41cc31e15075e48959f4ed9fd9c25ef34a51f0709144f6389e6

Observation e9174d2e-166e-4869-93a0-7b1f38f64584 · inbound

TrajFlow: Multi-modal Motion Prediction via Flow Matching cites this paper.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 16

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source=pdf_text observed=2026-08-07T05:14:34.604525Z digest=sha256:33c981dcbd83c3ab0a69c3a807532a7d35699e95b36e10d3f9cc1dcc1f04e078

Observation a12d62d7-8c3b-4c5f-90ba-e4f226aa5278 · inbound

RoCA: Robust Cross-Domain End-to-End Autonomous Driving cites this paper.

RoCA: Robust Cross-Domain End-to-End Autonomous Driving Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 26

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source=arxiv_source observed=2026-08-07T04:40:59.140945Z digest=sha256:89e67f33ca58b384d64a9fb7862fda6093d0c7701b98b51b2b7fa50d7db34517

Observation a999beb6-da79-46da-aaed-6ccd82a66ce4 · inbound

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections cites this paper.

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 28

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source=pdf_text observed=2026-08-06T23:49:13.842331Z digest=sha256:8502629ca549e1b7963cfc683176431ab1aca5903924e8e20d5e92d660d0a8a6

Observation 094f44c5-14c9-4fc5-b79a-e78d3e7dd44b · inbound

LTMSformer: A Local Trend-Aware Attention and Motion State Encoding Transformer for Multi-Agent Trajectory Prediction cites this paper.

LTMSformer: A Local Trend-Aware Attention and Motion State Encoding Transformer for Multi-Agent Trajectory Prediction Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 1

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Observation 7e8e3934-febb-484f-b170-f83dc79d8dba · inbound

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture cites this paper.

ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 20

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Observation ab343bcb-c29f-4bcd-b9fb-d5a4cbd41183 · inbound

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics cites this paper.

Foresight in Motion: Reinforcing Trajectory Prediction with Reward Heuristics Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 23

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source=pdf_text observed=2026-08-06T16:59:58.555984Z digest=sha256:f03d5d0a64916e8319e68672f7a07b6f02b4779566844b70e1ab66ae9af7aa61

Observation d1e52dd3-2599-4074-a11b-679c081fd4ef · inbound

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization cites this paper.

Goal-based Trajectory Prediction for improved Cross-Dataset Generalization Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 25

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Observation 284d2696-d31e-430b-aedf-074d323c9a80 · inbound

PhysVarMix: Physics-Informed Variational Mixture Model for Multi-Modal Trajectory Prediction cites this paper.

PhysVarMix: Physics-Informed Variational Mixture Model for Multi-Modal Trajectory Prediction Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 34

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Observation 8d2fb4f3-b676-4df0-bbef-1284d8db1fb7 · inbound

DeepFleet: Multi-Agent Foundation Models for Mobile Robots cites this paper.

DeepFleet: Multi-Agent Foundation Models for Mobile Robots Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 24

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arxiv_id, observed 2026-05-19T00:16:55.426279Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a18cfbb1-6c20-411e-91c1-d0041609ff00 · inbound

Adaptive Output Steps: FlexiSteps Network for Dynamic Trajectory Prediction cites this paper.

Adaptive Output Steps: FlexiSteps Network for Dynamic Trajectory Prediction Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 28

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Observation 92da7a59-6ff4-4f0d-b2e8-c337a13eb446 · inbound

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software cites this paper.

To New Beginnings: A Survey of Unified Perception in Autonomous Vehicle Software Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 128

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source=pdf_text observed=2026-08-05T14:47:24.754581Z digest=sha256:5d976da94273ec6246aef009df704972316d1160b7ab82b63c89f75fe11abb51

Observation 804fd0ba-36f3-467b-971c-bd3e13cc5221 · inbound

From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety cites this paper.

From Camera-Based Sensing to Reasoning: A Comprehensive Review Toward Proactive Vulnerable Road User Safety Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 101

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Observation ddf2a7e6-dcf7-4de6-a8bb-44401ff59d09 · inbound

Toward Efficient and Robust Behavior Models for Multi-Agent Driving Simulation cites this paper.

Toward Efficient and Robust Behavior Models for Multi-Agent Driving Simulation Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 27

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arxiv_id, observed 2026-05-17T01:01:24.357008Z

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Observation f9e3f71d-513a-4c9a-822d-cfdbe08972a1 · inbound

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction cites this paper.

Goal-Oriented Reactive Simulation for Closed-Loop Trajectory Prediction Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 36

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arxiv_id, observed 2026-05-15T00:58:26.216582Z

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Observation c4410f14-9f3c-43ae-816d-17f0b43ae166 · inbound

AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models cites this paper.

AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 33

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Observation b9a5c159-66f4-4d7c-9142-239c78e61181 · inbound

PlayGen-MoG: Framework for Diverse Multi-Agent Play Generation via Mixture-of-Gaussians Trajectory Prediction cites this paper.

PlayGen-MoG: Framework for Diverse Multi-Agent Play Generation via Mixture-of-Gaussians Trajectory Prediction Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 12

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arxiv_id, observed 2026-05-13T21:28:17.855243Z

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Observation 364c5aef-f4ea-4d38-888c-909313d0c83f · inbound

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications cites this paper.

EdgeVTP: Exploration of Latency-efficient Trajectory Prediction for Edge-based Embedded Vision Applications Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 51

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arxiv_id, observed 2026-05-10T09:18:32.406688Z

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Observation ae8f79ab-8a89-4139-8c90-958d9104b85d · inbound

Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation cites this paper.

Conditional Flow-VAE for Safety-Critical Traffic Scenario Generation Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 37

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arxiv_id, observed 2026-05-09T06:30:44.899756Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:22:42.314202Z digest=sha256:db08ec3f60b283aca90e42adf3e79991c90fac2e2fec74f7f310a42b881d03bf

Observation cda3093e-5b87-48cc-a99e-0c1a36d664bf · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 37

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arxiv_id, observed 2026-05-14T18:27:35.478654Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T18:26:18.738944Z digest=sha256:77877513da455f41cf2659dd3ba0b4e025697975403353e91d1fe2b2fd6d649e

Observation 3a9e5903-6abb-4c42-82dd-752b7579fa58 · inbound

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling cites this paper.

Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 37

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arxiv_id, observed 2026-05-20T20:59:01.800550Z

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source=pdf_text observed=2026-05-20T20:55:36.793147Z digest=sha256:56687ac448ac0cf8236b4b13efb21712293cd2eb2f9aff1eabdf646ccb065619

Observation 9ae06cd4-afc8-4718-a84d-9035140ddc2a · inbound

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation cites this paper.

RiskFlow: Fast and Faithful Safety-Critical Traffic Scenario Generation Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 15

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arxiv_id, observed 2026-07-02T13:16:59.003773Z

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source=arxiv_source observed=2026-06-28T01:24:05.664747Z digest=sha256:c5f7019ca43d50d11093069c9214c0c03bdec364d0bac8c005c024dfe10e34f9

Observation f1c3141d-37e7-451c-b311-1f6a9bee3056 · inbound

Human-like autonomy emerges from self-play and a pinch of human data cites this paper.

Human-like autonomy emerges from self-play and a pinch of human data Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 42

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arxiv_id, observed 2026-07-03T14:28:32.011761Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T07:01:12.737217Z digest=sha256:0e3cb83d2c87581e637cf0477208194b3ba114dbe5924602379dbf9b4c482599

Observation bfc5475a-f142-43d3-ab72-e7b4b89ba658 · inbound

TGRIP: A Text-Guided Approach to Vehicle Instance Prediction in Autonomous Driving cites this paper.

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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source=pdf_text observed=2026-07-11T13:09:16.091741Z digest=sha256:e00a845c8d07c91c0f9c4667445fb1fdf34fc3e9d4c10c55cd2c36788eac8262

Observation 932ae98e-0891-4ed1-85b4-eb9bd364d35d · inbound

A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles cites this paper.

A Dynamic Scene Interaction Reasoning Framework for Scene-level Lane-Change Intention and Trajectory Prediction of Multiple Interacting Vehicles Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 25

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source=arxiv_source observed=2026-07-14T16:37:01.846968Z digest=sha256:00ecb8259b6e3a53ca5a37148065e6aebef70deb2f433a0d930a85e2b9f28cac

Observation a6927e9f-9a13-4359-b44b-e96e59f5a1c4 · inbound

Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance cites this paper.

Pivot-Centric Trajectory Prediction: Bridging Long Horizons via Dynamical Guidance Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 20

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Source-reported events for the cited work

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