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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 2026-08-09T06:31:02.800959+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

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  • 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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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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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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unresolved
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Unavailable: canonical work link unavailable.

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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Source-reported events for the cited work

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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no resolver link, observed 2026-08-05T20:54:17.306167Z

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.459752Z digest=sha256:730e002badb40f48b81094d31ac91660e5473d38b0757754e413d9973a563d03

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.531620Z digest=sha256:731f07ff7f6536f58cb64830f2e7625f67c0ef0f078f0c0cca456cf21c4ad3c8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.595677Z digest=sha256:87aecaf66be8d6f73b03632316bb8b5c99e0cdcff3b4f3ac7bf5faadad6bdc50

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.652027Z digest=sha256:7c55ee6755c85c9fa4525c9d6abe652395d198f5eb342bb108758bb59c54a08f

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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verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.718700Z digest=sha256:b327deff67b4d95b7421616ff2d57e46684d853481914de643e89895074a5d68

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.804936Z digest=sha256:b67f9526dab3e418c34bcd2a7b73eb8b1a73ad6a6b57a7abdaed0335c69091ad

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.847963Z digest=sha256:2a98630bb56046477c28177b22b7740ddc653bd7eb0b24308ebed902c8dc001e

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
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.886055Z digest=sha256:24732e575f73d64521f4f3c001f26bdce7420ad8b7e686cc924d6c518f1779a9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:17.961439Z digest=sha256:6e72b188186ad1e100eb3ec5bb72667e082054b19116a7d0383d437d3e25e09a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.109507Z digest=sha256:4c4ca9fdd11d9e5576bbcf2c0fdf018ec656d80e065a29c4de4a6d742777c2b5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.174353Z digest=sha256:04c3e8e02496e13afe5d38bf5ac86b3f77ccbadefecd9e35f5fa24bc8c905191

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
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.202329Z digest=sha256:111019bbb0820712444898a22cd2df23b6d38b2274337878a3f9c60c7058c617

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.235904Z digest=sha256:f0fbdf04e43e3a2a99c51e46f2d0e51c1263d8ee701823f91fe1ab8b636aa89b

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.320187Z digest=sha256:d49e60a54739e6b17355904145fa58e1e224445b24f85c8e9fd29db52c559b9f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.341959Z digest=sha256:569c14116f718959a24850b841015eef23489adfd6852fe8f3fe14c5f99f6ed1

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

Resolution
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.384382Z digest=sha256:8588b4a1446bf9b02596e57614bbb1afc3dfef3f7cc4ac84305612ebbf57ded3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.473578Z digest=sha256:be434c2a11b48aa20026f2ff44ab9802b501ad7f35aa3ee195b1dbb2b8d8568a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.526382Z digest=sha256:18845eec3cadc4891787528b9bf920b74d247448d6c183de8c4e251434ea78b9

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
verified fuzzy
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.613586Z digest=sha256:b365bb9c7530dc876074667a48005c8863d43e841b099875a6cb209d38eb3f17

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.671044Z digest=sha256:81d92f42c63e1e7c252b6b0fd09c6ecb33323968948fcf5e8194e59b3d9eeebe

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.706817Z digest=sha256:d4d6b2e6f294ce7dfbb08d1b21d234e6aa01b59cd5893299297baae983fceab7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.731384Z digest=sha256:2ee762315370ae228f30439e04aea5b1036b3e190bb8bc261f7d59ac764836c1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.884591Z digest=sha256:96e51401125deb89d9a622b05d611844e3137ecea7047c141e7816990a5d5644

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:18.965103Z digest=sha256:ef0edeca0a77bdade4399701b097c6333e2ada226217db79b0e0e49242509102

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.044862Z digest=sha256:0154bfde8429261b2078fbf7c328bd3b9f00cb1b29edc01d809cd9bef12614c2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.242596Z digest=sha256:fcfe2c84632798161aeb5863d4b6b291c495cb18581355425b909300079c8f26

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.289329Z digest=sha256:e80320dc9763a172427a3753bb8863a0cd48834d8c6f17a533e082b1619fe40d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.469936Z digest=sha256:0b7399f49078642a768cac9fbd0e811ca784433d15cc87033034c3b270b81350

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.544937Z digest=sha256:8455c325f100e8546cbc721479a699163c51f6c24355c2d4a495b81f5336eef7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.637877Z digest=sha256:ca8970281f67df144dade2968d9a4b348862093a647c73ad63f8afcb56135f5b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.694484Z digest=sha256:cee6ee35c2b3702139dc8f1b9cc46ddcd60c2c15ec8edfad727fb193cb0af04d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.751562Z digest=sha256:735db9c41d820a160e6ab5294601a7505476f4f86c7e2288ad2113353651fb30

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.810319Z digest=sha256:6e50b8027b25a5193b17521efbeb142443d68386f9c9b7e7534d445f412c49e5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:19.968552Z digest=sha256:7bd8c69c9fcd2de464e3c4b4ea9c0c384b0aa7cd53e06c65e6417deb48dda128

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.051228Z digest=sha256:85e57a77b16461d31b038bb0154766970b1687ce119e690b8b4390f5cc7444e7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.129183Z digest=sha256:9bf40bdaef96f77a1fbab9cdff760d6c8fe64cf2787944de653efbc6f2489b44

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.177084Z digest=sha256:89c959eb0be37e351d9c99a32f5314927f0285b5016f23539419df7d340092ca

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.199307Z digest=sha256:fc1232a855083f57c4fe1c3bce4a8ab628a5d6083da6e48e31b6e5b1f7ce8109

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.237816Z digest=sha256:1566dec5c0ee8afcb6979c50fa30cad1bfc5454feeabaf382a0e41a654233991

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.316223Z digest=sha256:57bde81cb64d61f623d4f82eb2b46426bfc0d678380ccd5b7c37b1d25e2ca7ce

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.483533Z digest=sha256:056e3cacf61466f4158377e72efc7d662fd949500787d1c75ccc2a0054ca2a8d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.618692Z digest=sha256:497d7cba042798c82a1dd18648d3afdc06159ba185c95749d68a1461a2a461c8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.821059Z digest=sha256:3fe74fa89cee17875f1294ff7f1c351382b3e62c219f84605b13ec032cc7723c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:20.964501Z digest=sha256:f249e3e162a85670e7b03c161c046e6721b5ede8d888f30d11b6376b9d44e4b3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:21.088561Z digest=sha256:4befcd871a93088df4bcb86d4dc12a2ab760cda5aec23de1e4162af6b77640c4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:21.166523Z digest=sha256:18b0f0b1001ae3256c734bd2f53e7333078da8c2a5a7509001cee8444c7f7b90

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T20:54:21.255618Z digest=sha256:401add7816f00ea5c8a63a8e19a5a24a7ad4c579396c4b6cbcbe7c3454dd3809

Pith citing papers

No inbound Pith citation observations are available.