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Paper Citation Record · LEDGER

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 100 of 122 outbound references and 0 inbound Pith citation observations for arXiv:2608.03330.

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

pith.paper-citation-record.v1
2608.03330 v1

Coverage vector

measured 100 of 122 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:54:21.255618Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 122 outbound references displayed

  • verified exact4
  • verified fuzzy42
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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Outbound references

Observation 22eea3da-19d5-42b0-ae71-a9b1b38bd586 · outbound

This paper cites Jerk within the context of science and engineering—a systematic review,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Jerk within the context of science and engineering—a systematic review,

Reference 1

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Observation d4cd6032-5440-43b8-aa5b-2bd1e9c86156 · outbound

This paper cites Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles

Reference 2

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Observation 607e7de6-f2e5-4f32-a9db-23df7f9e8fe9 · outbound

This paper cites Understanding and modeling the human driver,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Understanding and modeling the human driver,

Reference 3

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Observation 37bd5d49-465e-489d-a148-e9980049d29a · outbound

This paper cites Bicycle braking performance testing and analysis,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Bicycle braking performance testing and analysis,

Reference 4

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Observation 19518d65-4174-4701-a603-ae1b12096a35 · outbound

This paper cites Planning-oriented autonomous driving,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Planning-oriented autonomous driving,

Reference 5

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Observation 170cc14e-36cd-4f2f-80a2-03e8cc0012c0 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Vad: Vectorized scene representation for efficient autonomous driving,

Reference 6

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Observation fac289ac-54fd-41c2-9bef-aa8d2680d4a5 · outbound

This paper cites Sparsedrive: End-to- end autonomous driving via sparse scene representation,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Sparsedrive: End-to- end autonomous driving via sparse scene representation,

Reference 7

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Observation afb7f334-d687-4f5e-99b0-4c1bbc24f7c4 · outbound

This paper cites Unfreezing the robot: Navigation in dense, inter- acting crowds,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Unfreezing the robot: Navigation in dense, inter- acting crowds,

Reference 8

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Observation e5324240-122a-47c9-9a9d-673830c65f7c · outbound

This paper cites The integration of prediction and planning in deep learning automated driving systems: A review,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving The integration of prediction and planning in deep learning automated driving systems: A review,

Reference 9

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Observation 2992e6f6-632d-40bc-995c-7c88c170c3dc · outbound

This paper cites General lane-changing model mobil for car-following models,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving General lane-changing model mobil for car-following models,

Reference 10

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source=pdf_text observed=2026-08-05T20:54:14.581106Z digest=sha256:f3f5acce48f8f5e90d7b8ad193ce35f82938d477c7109e7b68c3381ad78c7e0d

Observation f6b00075-209c-4972-bd5d-014d4860e1a9 · outbound

This paper cites Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity,

Reference 11

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Observation 61e882bc-7b91-4fbd-b446-56c6d0f1dc8c · outbound

This paper cites Philipp,Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Philipp,Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving

Reference 12

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Observation 1a9320c6-82b3-44a3-a349-57854f038e6b · outbound

This paper cites Social LSTM: Human Trajectory Prediction in Crowded Spaces,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Social LSTM: Human Trajectory Prediction in Crowded Spaces,

Reference 13

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Observation f1953969-0d5a-4955-8b28-e6a625e4c5db · outbound

This paper cites Learning lane graph representations for motion forecasting,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Learning lane graph representations for motion forecasting,

Reference 14

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Observation b3fabab6-0220-4050-9dd8-57bc8c3e9a1a · outbound

This paper cites Hivt: Hierarchicalvectortransformer for multi-agent motion prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Hivt: Hierarchicalvectortransformer for multi-agent motion prediction,

Reference 15

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source=pdf_text observed=2026-08-05T20:54:15.000042Z digest=sha256:13f88e22d2e10466145c21c7606af6d824f356d230e05306482df4f1330b8768

Observation e2506d01-95a7-4a88-a710-ea8969f602c9 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 16

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Observation 480a3454-ad09-4298-bedd-18a058415a14 · outbound

This paper cites Argoverse 2: Next generation datasets for self-driving perception and forecasting,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Argoverse 2: Next generation datasets for self-driving perception and forecasting,

Reference 17

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Observation 21c95bfa-624f-49ea-a03b-f27ade954301 · outbound

This paper cites Large scale interactive motion forecasting for au- tonomous driving: The waymo open motion dataset,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Large scale interactive motion forecasting for au- tonomous driving: The waymo open motion dataset,

Reference 18

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Observation 083c3ac0-961c-4814-a15f-ee7336bfc751 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 19

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Observation e6b6ec63-0ce4-4520-959c-998e2ad65333 · outbound

This paper cites The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving The highd dataset: A drone dataset of naturalistic vehicle trajectories on german highways for validation of highly automated driving systems,

Reference 20

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Observation dbded820-e9c3-466b-b848-b93941d73d39 · outbound

This paper cites Vehicle trajectory prediction works, but not everywhere,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Vehicle trajectory prediction works, but not everywhere,

Reference 21

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Observation 7ac864b6-8523-4be8-aa44-fcca8b989244 · outbound

This paper cites Unitraj: A unified framework for scalable vehicle trajectory prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Unitraj: A unified framework for scalable vehicle trajectory prediction,

Reference 22

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Observation c4396192-f000-4150-b25c-7594c221227e · outbound

This paper cites An empirical bayes analysis of object tra- jectory representation models,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving An empirical bayes analysis of object tra- jectory representation models,

Reference 23

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Observation 15e39161-d5ed-4c63-944d-5a0ca6fb92f1 · outbound

This paper cites Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data,

Reference 24

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Observation 0504d2a6-35a3-4442-971a-d085252ffa06 · outbound

This paper cites Attention is all you need,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Attention is all you need,

Reference 25

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source=pdf_text observed=2026-08-05T20:54:15.890059Z digest=sha256:752bfb240641531fe555d07858117c1f5ebda674ffbd076580f3075416133252

Observation 3e415ea1-da14-4609-9cf9-2c5fed59384f · outbound

This paper cites Improving out- of-distribution generalization of trajectory prediction for autonomous driving via polynomial representations,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Improving out- of-distribution generalization of trajectory prediction for autonomous driving via polynomial representations,

Reference 26

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source=pdf_text observed=2026-08-05T20:54:15.967913Z digest=sha256:e05e4ce5aa5684b85d60f9f4bb05d7285d269ce91c239f69e784eeb923a6301e

Observation eb40b875-759f-4182-9e89-02a1f3ba16aa · outbound

This paper cites Ep-diffuser: An efficient diffusion model for traffic scene generation and prediction via polynomial repre- sentations,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Ep-diffuser: An efficient diffusion model for traffic scene generation and prediction via polynomial repre- sentations,

Reference 27

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Observation 2e90a6e0-60a3-4187-964e-dc454d89db54 · outbound

This paper cites Argoverse: 3d tracking and forecasting with rich maps,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Argoverse: 3d tracking and forecasting with rich maps,

Reference 28

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source=pdf_text observed=2026-08-05T20:54:16.135164Z digest=sha256:64eac6065c82c02ab2c6eed2248c52d3be0a5641987e1e4489cdddf05dbc18ac

Observation 2c413e9f-187d-4119-85f7-f9c0d9745723 · outbound

This paper cites Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 29

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source=pdf_text observed=2026-08-05T20:54:16.191267Z digest=sha256:132978fca3d808782252d483c4a16d2fdf204594ad23b41f1b3dae50feaa9cd4

Observation 2133f7b6-3eb0-4117-bbcd-8185a21df9a2 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 30

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Observation ba4a5461-7bc6-4f4d-96fd-6bf2f982efc5 · outbound

This paper cites Continuous driver intention recogni- tionwithhiddenmarkovmodels,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Continuous driver intention recogni- tionwithhiddenmarkovmodels,

Reference 31

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Observation adb55435-fe6b-4cdc-8833-32ecb422242d · outbound

This paper cites A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving A probabilistic model for estimating driver behaviors and vehicle trajectories in traffic environments,

Reference 32

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Observation fdd46c6d-a234-409f-bd9b-a4f849ea8a20 · outbound

This paper cites A survey on motion prediction and risk assessment for intelligent vehicles,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving A survey on motion prediction and risk assessment for intelligent vehicles,

Reference 33

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source=pdf_text observed=2026-08-05T20:54:16.430224Z digest=sha256:4e02b5a4c3e8ed7b04eb1baf8f1a7442bf5c245986cf4b4659f01cd393cdede4

Observation d1b81e86-4b99-48da-bf17-4dbf501058af · outbound

This paper cites A survey on trajectory-prediction methods for autonomous driving,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving A survey on trajectory-prediction methods for autonomous driving,

Reference 34

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source=pdf_text observed=2026-08-05T20:54:16.515601Z digest=sha256:45a9d4d304cf5c6f9c045d8fd88ebd679acdf30a78e82bd5595138f79d715e47

Observation ba867f0d-7937-45cf-908a-d272797c634f · outbound

This paper cites Scenario understanding and motion prediction for autonomous vehicles—review and comparison,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Scenario understanding and motion prediction for autonomous vehicles—review and comparison,

Reference 35

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source=pdf_text observed=2026-08-05T20:54:16.599635Z digest=sha256:d72c11c215c23dda0fcd867ff1433eb609aa6f0572a31e77eebd3eae3bbaa207

Observation 958c28c0-fd4c-4be8-ac03-ba3ffc94110d · outbound

This paper cites Covernet: Multimodal behavior prediction using trajectory sets,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Covernet: Multimodal behavior prediction using trajectory sets,

Reference 36

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source=pdf_text observed=2026-08-05T20:54:16.676061Z digest=sha256:25caf0086fd80ec29f802e980f69ee0b444ce9f50f053dfd25bc7428129061ba

Observation dca3be50-43da-4551-ad94-97494a8d5c18 · outbound

This paper cites Trajectorycnn: a new spatio-temporal feature learning network for human motion prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Trajectorycnn: a new spatio-temporal feature learning network for human motion prediction,

Reference 37

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:16.749296Z digest=sha256:485795b76f8d3a7f4224731840cd0c3fac98fdec08162c376df1b1a88c51560c

Observation 3492a3d2-a782-4a45-9037-1b15b2464ab2 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Imagenet classification with deep convolutional neural networks,

Reference 38

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source=pdf_text observed=2026-08-05T20:54:16.864642Z digest=sha256:2021bfaa5b5860ac5cfceb75e94039a2b741de2d47fe4cd36b42631bc7b88dcc

Observation 3926f705-8141-49d9-8db9-b051e70a1216 · outbound

This paper cites Harmonic networks: Deep translation and rotation equivariance,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Harmonic networks: Deep translation and rotation equivariance,

Reference 39

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source=pdf_text observed=2026-08-05T20:54:16.930218Z digest=sha256:1cb71edd9aa3ac455d8db18f60b05eec4b4af52898eb6e9b3e26f06da78d4819

Observation 18cb4a31-fa2d-483c-811e-3183213ecca7 · outbound

This paper cites Rotation equivariant vector field networks,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Rotation equivariant vector field networks,

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.004981Z digest=sha256:6e887e1423edc51a80706b53b4b3916a7908f968999103b293de499ffbc118a4

Observation 670ba3b9-f1fe-42c4-9178-bedd137efaa8 · outbound

This paper cites Query-centric trajectory predic- tion,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Query-centric trajectory predic- tion,

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.084059Z digest=sha256:6b178faf229aefa1a410da02eec8186d2a0958f465ab7f79730d18b2a724d6b5

Observation 169573bc-ad01-4bdf-be4f-73a63bc08646 · outbound

This paper cites Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders,

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.140492Z digest=sha256:354782883d68bf06945055b9a1dbbda3811d2921d86cdf5d8c3ffc7f39153c33

Observation 3dff7959-c196-4dca-aa38-eb0f19fc29f4 · outbound

This paper cites Motionlm: Multi-agent motion forecasting as language modeling,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Motionlm: Multi-agent motion forecasting as language modeling,

Reference 43

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no resolver link, observed 2026-08-05T20:54:17.184306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.184306Z digest=sha256:5741b2c5d46d686db54da659d793c989eedc96a558ad6317d31b18227595a069

Observation 56304824-42f7-4ed8-b595-13b1f6ef2a3e · outbound

This paper cites Mo- tiondiffuser: Controllable multi-agent motion prediction using diffusion,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Mo- tiondiffuser: Controllable multi-agent motion prediction using diffusion,

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.254826Z digest=sha256:c5646e24fc448aad8b44185d2f9a15ad53d409105e6b75ef4f352c2f0dc40b3d

Observation 8c218067-c8ce-43e9-99d0-e354284f3067 · outbound

This paper cites Optimizing diffusion models for joint trajectory prediction and controllable generation,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Optimizing diffusion models for joint trajectory prediction and controllable generation,

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.306167Z digest=sha256:52ac876478a1620bf169af289acf1afc27d9e4d6696d5a08ec1096d646265042

Observation ebb7025b-14b5-4bd5-824f-e269c6eb21c9 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized representation,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Vectornet: Encoding hd maps and agent dynamics from vectorized representation,

Reference 46

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no resolver link, observed 2026-08-05T20:54:17.382101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.382101Z digest=sha256:d6d6c1c43fe3189bdedb3bf892a2584277fe7e3a37df421fccf2fef01165ac4f

Observation 08ac5709-fb47-4740-89f5-be6b6d061de9 · outbound

This paper cites Uncertainty-aware driver trajectory prediction at urban intersections,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Uncertainty-aware driver trajectory prediction at urban intersections,

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.434235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.459752Z digest=sha256:22c7b99c73153e6ebac030ecda2c874e89221e0aa4be4062c69e8bd354c5f4fd

Observation 3e954fdd-cd57-460a-9420-5c611e8a0e10 · outbound

This paper cites PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving PLOP: Probabilistic poLynomial Objects trajectory Planning for autonomous driving

Reference 48

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verified exact
local_arxiv, observed 2026-08-05T20:54:24.754090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.531620Z digest=sha256:1657e4f870bc6cd389e35cc99071311e4f2621ec8e3f78ad5dd166fd9b70f60d

Observation 6fe2e6f0-2003-47ee-b8e4-19feb99cd213 · outbound

This paper cites Temporally-continuous probabilistic prediction using polynomial trajectory pa- rameterization,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Temporally-continuous probabilistic prediction using polynomial trajectory pa- rameterization,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.420018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.595677Z digest=sha256:4580d89b0f2eff172736dee68d28feb5ebbe219dded313c243e70e53fd049cf3

Observation 1d707a50-ad24-4b09-8e0f-cb4250c8dfba · outbound

This paper cites You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:54:24.554364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.652027Z digest=sha256:f53f9fd96839531fbb8e4f1992b914c4c62a295297a3d647e184d828b5f60329

Observation 1c7ade94-2715-4b2f-a9ee-f335534004a6 · outbound

This paper cites Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,

Reference 51

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raw_fallback, observed 2026-08-05T20:54:31.405621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.718700Z digest=sha256:3d4164037ea7b7f2dfae1e2b065d2e60a85829fbcea617ff95b0572de1a4b1b0

Observation 03b2d572-8310-42e1-880a-6381985d5d60 · outbound

This paper cites Neural machine translation by jointly learning to align and translate,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Neural machine translation by jointly learning to align and translate,

Reference 52

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verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.390551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.804936Z digest=sha256:fbb149db36e27935b0bc0a231b00356f9570da8419f3e2a0b9a9ffb6f5f7d77b

Observation 7717c70d-e5f7-4d00-b687-3fd03d3a0bbc · outbound

This paper cites Long short-term memory,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Long short-term memory,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.377119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.847963Z digest=sha256:98a722ab1401f36a4ae5a6a4ee439fb4a0d610d0e7a7d570d0f9d7b3ef8f0a41

Observation 8f152e08-dc62-4b7e-ba8a-a7cf833fd3b5 · outbound

This paper cites Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying,

Reference 54

Resolution
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raw_fallback, observed 2026-08-05T20:54:31.364262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.886055Z digest=sha256:ddcc49ef0386147dd671180997c25c446bd3f9c66ce89d4dd950b1947da14595

Observation da5b36cc-1f10-4d86-b0bc-3332d4846953 · outbound

This paper cites Wayformer: Motion Forecasting via Simple & Efficient Attention Networks.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Reference 55

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no resolver link, observed 2026-08-05T20:54:17.912634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:17.912634Z digest=sha256:6cda496d434c9105ef76c8188996742fb0e412a4c574099ff139844ff278399d

Observation 17505f66-e1c9-4fce-a996-447fad3796d7 · outbound

This paper cites Deep residual learning for image recogni- tion,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Deep residual learning for image recogni- tion,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.350492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:17.961439Z digest=sha256:e2fda91c0ed246c72411957987d7a388d17ec8ed36aa05d006ab1871d8eb9733

Observation f8b6d16a-b4e0-42fb-8c57-28f6b1062238 · outbound

This paper cites Layer Normalization.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Layer Normalization

Reference 57

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:18.002915Z digest=sha256:f27c99aae384c4bb1e5e273260dc75e98da2d8b487bf941532fda42f657a2d09

Observation e4cd9d73-48ad-4aa8-a175-1ad2289bfc2f · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Training data-efficient image transformers & distillation through attention,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.337283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.109507Z digest=sha256:1d9b34ff372fd15a8d950b045f05252a4cd69f8288c0fd1362b32bf797a46a3c

Observation 2fd4daa5-1d3d-4ba4-b4fe-7de5fb93debe · outbound

This paper cites Trans- formers in vision: A survey,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Trans- formers in vision: A survey,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.323119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.174353Z digest=sha256:37832189f3c5dd0df596afc5d6c0c60121c1587bc2b8c3f3a8375ceb8223b7f7

Observation acce3bf7-8054-4b50-8ccc-7f15a63674df · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial networks,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Social gan: Socially acceptable trajectories with generative adversarial networks,

Reference 60

Resolution
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raw_fallback, observed 2026-08-05T20:54:31.308497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.202329Z digest=sha256:74baa7491439b76c5218b1273df73370a10bd1cb73318587d3dc1614c8903ea0

Observation 925fbf0e-f557-4e02-9416-004c5b97da58 · outbound

This paper cites Desire: Distant future prediction in dynamic scenes with interacting agents,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Desire: Distant future prediction in dynamic scenes with interacting agents,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.294284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.235904Z digest=sha256:fae2da089776bb5e8560f208ca7fc95917de6d05fb358f721884d9cc59cd9f46

Observation 6afbc950-481e-47ca-806c-08a2709135a5 · outbound

This paper cites Sophie: An attentive gan for predicting paths compliant to social and physical constraints,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Sophie: An attentive gan for predicting paths compliant to social and physical constraints,

Reference 62

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verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.280042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.320187Z digest=sha256:f700897711effee45f2cc0fcde110d277656e75763503bcc6be8ebab2c307320

Observation bb32a0ee-d9d6-4ef8-9dcc-e1ad94cde6df · outbound

This paper cites Vehicle trajectory prediction at intersections using interaction based generative adversarial networks,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Vehicle trajectory prediction at intersections using interaction based generative adversarial networks,

Reference 63

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raw_fallback, observed 2026-08-05T20:54:31.265790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.341959Z digest=sha256:1177f1d763c0f728880811d0a47b12ff169edba6facd13316add8ba279909fb2

Observation c5666bc9-7fae-4d0e-9e91-e8518761b6b6 · outbound

This paper cites Understanding posterior collapse in generative latent variable models,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Understanding posterior collapse in generative latent variable models,

Reference 64

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raw_fallback, observed 2026-08-05T20:54:31.250181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.384382Z digest=sha256:54acd9229abf1a6233efc698b8ac17cc711fbc19c992474fd4720fd1594fb852

Observation c0f13b61-3ebe-4950-8454-528606f7736c · outbound

This paper cites Improved techniques for training gans,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Improved techniques for training gans,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.235125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.473578Z digest=sha256:e04a1b8f2e86952ecf2b92e5e570dde04ae2b6b066a4e512d43176464c573420

Observation cd5b5aa8-d503-4254-ae49-659701d6dc1a · outbound

This paper cites Denoising diffusion probabilistic models,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Denoising diffusion probabilistic models,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.219991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.526382Z digest=sha256:6a69a599929ededa7a5cedf2ba431bc5fcce24779e1af79da7fcb4504e22374b

Observation 9e5d6b8e-7f8c-42fc-89a8-989565074f0f · outbound

This paper cites Denoising diffusion implicit models,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Denoising diffusion implicit models,

Reference 67

Resolution
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raw_fallback, observed 2026-08-05T20:54:31.206015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.613586Z digest=sha256:d1d389160d3e170480850f7c0e7618e0057505913703c53b477bd5cfca80d3ba

Observation dc9fd8c4-2652-4fb0-8a87-13d7f9a3ab1c · outbound

This paper cites Language models are few-shot learners,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Language models are few-shot learners,

Reference 68

Resolution
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raw_fallback, observed 2026-08-05T20:54:31.192314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.671044Z digest=sha256:4cd51fecf0c1e7aff4375396459ec6507481224fcfc250ec2fe62a30328a0937

Observation 010a1a1e-4acc-418b-87d9-e8e882ce6fb3 · outbound

This paper cites Smart: scalable multi-agent real- time motion generation via next-token prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Smart: scalable multi-agent real- time motion generation via next-token prediction,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.177973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.706817Z digest=sha256:69c0e787540634a6a204801fcc2bff87dceb0b70360162afde8b71b3f9a5ec7d

Observation 095e7def-5bfb-4d4e-b535-8fcc2c86e1ea · outbound

This paper cites Behaviorgpt: Smart agent simulation for autonomous driving with next-patch prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Behaviorgpt: Smart agent simulation for autonomous driving with next-patch prediction,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.161767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.731384Z digest=sha256:4f9d043465f5158235724fb93276c5104d19795bbd9a7fe2f4277618f6dff58d

Observation d04a0374-56ea-4b7e-bf74-32a6f7924cdb · outbound

This paper cites AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:18.815125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:18.815125Z digest=sha256:1ceeb0fe344b8c5e5f9eca0b7d748704a013118fb0aa8a319635704f5c29fe8e

Observation 4c3ba2b4-e3e6-4143-bf20-80b25de2c0c8 · outbound

This paper cites Closed-loop supervised fine-tuning of tokenized traffic models,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Closed-loop supervised fine-tuning of tokenized traffic models,

Reference 72

Resolution
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raw_fallback, observed 2026-08-05T20:54:31.145761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.884591Z digest=sha256:c99321b87f27a2593e2f0aefabe31ea67a5f39db5f84f1a4d69ef06cd71cf4bc

Observation bfbe5620-26a6-4000-966b-e83850924070 · outbound

This paper cites Deep un- supervised learning using nonequilibrium thermodynamics,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Deep un- supervised learning using nonequilibrium thermodynamics,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.131958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:18.965103Z digest=sha256:5109d9218bc5b805c5c5993bd28e10a7ddb0482a14fb688e8a1540493f238d71

Observation 8317fdc3-2d2a-4995-9fbc-7ce2a88f1a36 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving High-resolution image synthesis with latent diffusion models,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:31.014142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.044862Z digest=sha256:6e485c3cd20092cca51d3bedd7077f32682c9733c3eadc2dd76dc2b5b0a7dc84

Observation bf8f7df6-8875-48d8-a59c-4dbbfc13ae4a · outbound

This paper cites GAIA-1: A Generative World Model for Autonomous Driving.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving GAIA-1: A Generative World Model for Autonomous Driving

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:19.136766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:19.136766Z digest=sha256:5c65131755904b5c47b9184d914844321849f80c0e9b0735e216c05698986619

Observation 9ef3ecdd-6418-4965-9184-7fe2488bd1a6 · outbound

This paper cites Leapfrog diffusion model for stochastic trajectory prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Leapfrog diffusion model for stochastic trajectory prediction,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:30.832597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.242596Z digest=sha256:6562846a7e37fbec4da64d07b5c752a0df096471bece07ebe9e08de7f6188c3d

Observation 7b7d3979-6c67-405f-a790-1c390b1e2f76 · outbound

This paper cites Dice: Diverse diffusion model with scoring for trajectory prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Dice: Diverse diffusion model with scoring for trajectory prediction,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:30.675862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.289329Z digest=sha256:6bf5d98c1530a2aad155a1da35149f9685cd554223f5568bf8340bc771f109cd

Observation 4f9d6d1b-6da6-4bff-a606-0b1af706f7c7 · outbound

This paper cites On information and sufficiency,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving On information and sufficiency,

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:19.391274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:19.391274Z digest=sha256:7af533c2e713dff04c098bd7c91dfe923b488d70ab1da6d0b7ce91014e6a4c43

Observation 3d3eadf2-d02f-4f3e-bd1a-b503848cacde · outbound

This paper cites Trajectories as markov-states for long term traffic scene prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Trajectories as markov-states for long term traffic scene prediction,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:30.528760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.469936Z digest=sha256:7b1c7b7a1bdd4d6d21798f3364c1f9e9506961de71927ca6dc65418a20ed170c

Observation 03180237-a5bf-4b9d-bc50-5aaa05663bc4 · outbound

This paper cites an unresolved cited work.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:54:30.335403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.544937Z digest=sha256:01547b065d72614a668a677595655003183c643e455d46fc98c3643c1b87e7f2

Observation 1a38624d-6121-4778-8343-3c8c4f369408 · outbound

This paper cites Efron,Large-scale inference: empirical Bayes methods for estimation, testing, and prediction, vol.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Efron,Large-scale inference: empirical Bayes methods for estimation, testing, and prediction, vol

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:30.072811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.637877Z digest=sha256:0feb56db6e2245fca0639f02648c4cba9462f1e824a3eee380b8f5512fd9d404

Observation 7b3af693-236e-4909-b8e8-ccf5b5207521 · outbound

This paper cites Performance analysis of 10 models of 3d lidars for automated driving,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Performance analysis of 10 models of 3d lidars for automated driving,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:29.986603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.694484Z digest=sha256:77dfd3f543f326044db41f0031913e746c290872f177da7968f81e63e7120d88

Observation 759e2fe2-faed-42f6-bdc5-94cff3400195 · outbound

This paper cites Perception characteristics distance: Measuring stability and robustness of perception system in dynamic conditions under a certain decision rule,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Perception characteristics distance: Measuring stability and robustness of perception system in dynamic conditions under a certain decision rule,

Reference 83

Resolution
verified exact
raw_fallback, observed 2026-08-05T20:54:24.315026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.751562Z digest=sha256:b2dad2e9641892a9a0c8017ea9d11681e7b9ffc214cbf8b64635b5a00875047d

Observation bfd953e7-2436-4d06-99be-07605793c528 · outbound

This paper cites Kämpchen,Feature-level fusion of laser scanner and video data for advanced driver assistance systems.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Kämpchen,Feature-level fusion of laser scanner and video data for advanced driver assistance systems

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:29.860440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.810319Z digest=sha256:b42d715f876cf526f80bc8cc92eabba56ada22846da371bc053300107a200851

Observation 58ff104e-0fd9-4f74-8d2d-0349954c0262 · outbound

This paper cites TensorFlow Distributions.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving TensorFlow Distributions

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:19.861698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:19.861698Z digest=sha256:0739c2eeb82517d3ac71fe4a2a360b22ac4f4d834e9cb3cdf4aaeb7220c89dea

Observation 7d854b76-f347-4e59-abf2-191d2cfd6ae3 · outbound

This paper cites Information theory and an extension of the maximum likelihood principle,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Information theory and an extension of the maximum likelihood principle,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:29.694935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:19.968552Z digest=sha256:2de3ada05f36fd4274aa32060530fd7309db2c1b98e0fc574a2806bf697d2d1b

Observation 0e99e1b7-5446-466d-976d-b3d6de0679cd · outbound

This paper cites Estimating the dimension of a model,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Estimating the dimension of a model,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:29.553427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.051228Z digest=sha256:f14a61a920aae8024254617a65f42e4db48ee289fbf14375a645a091c1891dfc

Observation 07b62316-8102-4297-af84-e57f1601b18b · outbound

This paper cites Maximum likelihood estimates of linear dynamic systems,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Maximum likelihood estimates of linear dynamic systems,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:29.421386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.129183Z digest=sha256:639c0e1d109cd60199b3ee39fb7fca02e7ec664250d4a4198326686e761c6c3d

Observation 30bc4570-65fc-4def-9536-b207df98a2f3 · outbound

This paper cites A new approach to linear filtering and prediction problems,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving A new approach to linear filtering and prediction problems,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:29.271850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.177084Z digest=sha256:1d1d854288f203149a4a0f6f7ea151ecbb68d8b61c837bf11b4b46a4de171441

Observation 92d5b640-dddf-415f-8e40-dd1db89d7cdf · outbound

This paper cites An introduction to gaussian processes for the kalman filter expert,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving An introduction to gaussian processes for the kalman filter expert,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:29.107807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.199307Z digest=sha256:8b423e34901969ff5ec301805c45b245220e29b0582db336dbcf5cbf96be13be

Observation aad11311-137d-4376-8b56-14b8b96c131c · outbound

This paper cites Acceleration-deceleration behaviour of various vehicle types,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Acceleration-deceleration behaviour of various vehicle types,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:28.976437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.237816Z digest=sha256:ae1dccca8d7243f2c63cc5a3fe7fe645a43f566559533e0f14c42d3aa9a470b9

Observation fa50fe4d-d012-48bd-8daa-619223476923 · outbound

This paper cites Pedestrian acceleration and speeds,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Pedestrian acceleration and speeds,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:28.838584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.316223Z digest=sha256:d130e12e75a603ab447b42b247db95369e6861009638f223d8783518736493c8

Observation 11f1fc90-092c-458f-8f45-c9d7c746c67e · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Adam: A Method for Stochastic Optimization

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-05T20:54:20.371227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:54:20.371227Z digest=sha256:b423fa13038b9ebcd4fa4409f7ad7dcb724057da658384208101366151fc21be

Observation 2f75e440-57dc-4b86-ac39-3ba5e70c7040 · outbound

This paper cites Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:28.622175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.483533Z digest=sha256:656f855db9ca0ce6271f961bef1ba66aa7b114fcd43cfe234b405391117805eb

Observation 4fad29c5-3253-4c39-9712-a0b7e7c80e22 · outbound

This paper cites A systematic study of the class imbalance problem in convolutional neural networks,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving A systematic study of the class imbalance problem in convolutional neural networks,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:28.450268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.618692Z digest=sha256:66151c5ae36dc635fc7894f4a0eda1c4ec8be89a4fc77e05287d00fb12b7310d

Observation bb132d45-fad0-4abb-9e72-20650034d5e3 · outbound

This paper cites Interactive multi-modal motion planning with branch model predictive control,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Interactive multi-modal motion planning with branch model predictive control,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:28.251298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.821059Z digest=sha256:f5fe387b3b6834814b3e0f1969d2ce10cd5d99758372f8a53a9be8763f832968

Observation 8a1421b8-8a81-4275-8627-376eac3dd2a8 · outbound

This paper cites ASAM OpenDRIVE.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving ASAM OpenDRIVE

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:28.067438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:20.964501Z digest=sha256:3ccf1365df4b311493e65a55e6ef13810d966a385517ef3272d647957985ffb4

Observation 0dfe8b02-f614-4fb1-bffe-6ab75cf29ee3 · outbound

This paper cites Total least squares fitting of bézier and b-spline curves to ordered data,.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Total least squares fitting of bézier and b-spline curves to ordered data,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:27.925080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:21.088561Z digest=sha256:65cb158d227c04242bd98716de8b53bdfc51111005e858bb72bb2cea6f21c34a

Observation 0370a886-4102-462a-9dec-4027d224d82f · outbound

This paper cites an unresolved cited work.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-08-05T20:54:27.768614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:21.166523Z digest=sha256:319ad7cd8b8ce9f3365405019ba260adb4007349eafe7ad2740c74f691ee4623

Observation a4ed6998-00fb-440c-805b-9a4f215b30c8 · outbound

This paper cites borgespastva.m.

Long-term Traffic Scene Prediction via Polynomial Representations in Autonomous Driving borgespastva.m

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T20:54:27.603888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:54:21.255618Z digest=sha256:57c10ed808cf2894732c5e450d95855b76cb89742645d449163d3eabaa82dd29

Pith citing papers

No inbound Pith citation observations are available.