ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling | Paper Citation Record

Observation 196c8671-60e4-4c9c-8ac7-86522f97dfc5 · outbound

This paper cites So- cial lstm: Human trajectory prediction in crowded spaces.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling So- cial lstm: Human trajectory prediction in crowded spaces

Reference 1

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Observation 48b2f567-d1bd-444e-a13b-7ffc72fc5d35 · outbound

This paper cites Mixture density networks.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Mixture density networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.531577Z

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Observation 5a0a02d9-123e-4fe2-9946-3e3f574108d2 · outbound

This paper cites End-to- end object detection with transformers.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling End-to- end object detection with transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.515558Z

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Observation 0b67bca5-fce4-4928-af9e-70d4fd63e675 · outbound

This paper cites Multipath: Multiple probabilistic anchor trajec- tory hypotheses for behavior prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Multipath: Multiple probabilistic anchor trajec- tory hypotheses for behavior prediction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.497969Z

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Observation 55ece464-c6dd-4a2c-a9f7-976fdfcdf4f2 · outbound

This paper cites Learning phrase representations using rnn encoder-decoder for statistical machine translation.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Learning phrase representations using rnn encoder-decoder for statistical machine translation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.479166Z

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Observation fa8d7517-f7d3-4efb-98e3-b693e2fe1a49 · outbound

This paper cites Multimodal trajectory predictions for autonomous driving using deep convolutional networks.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Multimodal trajectory predictions for autonomous driving using deep convolutional networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.412599Z

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Observation 3d06fda7-e6d8-4824-923b-1aa3ca28da72 · outbound

This paper cites Convolutional social pooling for vehicle trajectory prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Convolutional social pooling for vehicle trajectory prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.283411Z

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Observation c02f391b-03cd-436f-8177-a72fbfdff02a · outbound

This paper cites Ep- silon: An efficient planning system for automated vehicles in highly interactive environments.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Ep- silon: An efficient planning system for automated vehicles in highly interactive environments

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.244449Z

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Observation 94f606e1-cccd-48f9-af8c-2aa1e220c2b5 · outbound

This paper cites Qi, Yin Zhou, Zoey Yang, Aur´elien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Qi, Yin Zhou, Zoey Yang, Aur´elien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.226247Z

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Observation 9e185b13-e0cd-46f9-aa5f-9ed0ae8ed044 · outbound

This paper cites Transformer networks for trajectory forecasting.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Transformer networks for trajectory forecasting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.208540Z

Source-reported events for the cited work

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Observation e58d837e-5401-4e5a-8dc5-6bb58553f7c0 · outbound

This paper cites Social gan: Socially acceptable trajec- tories with generative adversarial networks.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Social gan: Socially acceptable trajec- tories with generative adversarial networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.187925Z

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Observation 618d4d0a-1cb4-435e-8f53-6f48f7862269 · outbound

This paper cites Long short-term memory.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Long short-term memory

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.166904Z

Source-reported events for the cited work

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Observation f63f0362-5227-4955-afaf-2bf6bb049f12 · outbound

This paper cites Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Rules of the road: Predicting driving behavior with a convolutional model of semantic interactions

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.139820Z

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Observation 8f3d09e3-76ae-4b89-9f0c-6e142fc8b49b · outbound

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

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Desire: Distant future prediction in dynamic scenes with interacting agents

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:39.065577Z

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Observation 7be7a7fd-eb70-4328-bf80-5aa27ea2a4a1 · outbound

This paper cites Stochastic multiple choice learning for training diverse deep ensembles.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Stochastic multiple choice learning for training diverse deep ensembles

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.055820Z

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Observation 1d05e20a-84c6-40a5-8904-34f71232720d · outbound

This paper cites Marc: Multipolicy and risk-aware contingency planning for au- tonomous driving.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Marc: Multipolicy and risk-aware contingency planning for au- tonomous driving

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:41.015996Z

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Observation 154bb8aa-a14f-465a-b266-52f33a6793e6 · outbound

This paper cites Learning lane graph representa- tions for motion forecasting.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Learning lane graph representa- tions for motion forecasting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.996229Z

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Observation b090a61d-5883-49ed-bf96-dc53fea0adc4 · outbound

This paper cites Eda: Evolving and distinct anchors for multimodal motion prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Eda: Evolving and distinct anchors for multimodal motion prediction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.976845Z

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Observation 94c0b199-6dcb-4fa9-82d7-948b5b8d143e · outbound

This paper cites Focal loss for dense object detection.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Focal loss for dense object detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:39.238075Z

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Observation 06c189be-5e25-4d88-835e-3fa94b2a788b · outbound

This paper cites Multimodal motion prediction with stacked transformers.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Multimodal motion prediction with stacked transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:39.286016Z

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Observation 78d56f6a-ff73-4f69-a3d1-5653cec87e0a · outbound

This paper cites Sgdr: Stochastic gradient descent with warm restarts.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Sgdr: Stochastic gradient descent with warm restarts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:39.327572Z

Source-reported events for the cited work

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Observation 54464694-d7b6-41cd-a60d-990fe15d8b55 · outbound

This paper cites Decoupled weight decay regularization.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Decoupled weight decay regularization

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:39.332755Z

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Observation 92987409-4aa5-46d4-8ee7-473aeb709a54 · outbound

This paper cites Overcoming limitations of mixture density networks: A sam- pling and fitting framework for multimodal future prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Overcoming limitations of mixture density networks: A sam- pling and fitting framework for multimodal future prediction

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.906302Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a2eb8511-48ae-452a-b562-034af2e75057 · outbound

This paper cites Multi-head attention for multi-modal joint vehicle mo- tion forecasting.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Multi-head attention for multi-modal joint vehicle mo- tion forecasting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.887836Z

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Observation 4d15560b-8332-4ec0-8259-728d9724943e · outbound

This paper cites Wayformer: Motion forecasting via simple & efficient attention networks.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Wayformer: Motion forecasting via simple & efficient attention networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.868761Z

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Observation de3bf076-3425-45b1-bfa3-0f8d81057506 · outbound

This paper cites Scene transformer: A unified architecture for predicting multiple agent trajectories.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Scene transformer: A unified architecture for predicting multiple agent trajectories

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.819580Z

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Observation 8d77812c-c168-435a-9241-dc2fe0834c24 · outbound

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

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Covernet: Multimodal behavior prediction using trajectory sets

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.695204Z

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Observation 641b208d-bf2a-4201-ac56-e2180255b974 · outbound

This paper cites Trajeglish: Traffic modeling as next-token prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Trajeglish: Traffic modeling as next-token prediction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.633536Z

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Observation c264ec04-23b6-4158-903c-057c0467de76 · outbound

This paper cites R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling R2p2: A reparameterized pushforward policy for diverse, precise generative path forecasting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.616088Z

Source-reported events for the cited work

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Observation 682f2d5f-2a8e-4520-934a-25606c55c122 · outbound

This paper cites Precog: Prediction conditioned on goals in visual multi-agent settings.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Precog: Prediction conditioned on goals in visual multi-agent settings

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.597556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0ac56c15-5a95-429e-b4bd-97367a41bc57 · outbound

This paper cites Fjmp: Factorized joint multi-agent motion prediction over learned directed acyclic interaction graphs.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Fjmp: Factorized joint multi-agent motion prediction over learned directed acyclic interaction graphs

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.580225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8684935b-6a53-49d4-9277-7e1274575ee8 · outbound

This paper cites Learning in an uncertain world: Representing am- biguity through multiple hypotheses.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Learning in an uncertain world: Representing am- biguity through multiple hypotheses

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.560774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc602684-5140-4e3b-8fdc-efad123531d9 · outbound

This paper cites Trajectron++: Dynamically-feasible trajec- tory forecasting with heterogeneous data.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Trajectron++: Dynamically-feasible trajec- tory forecasting with heterogeneous data

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T18:58:39.388961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a08f055-e7bb-42a8-9c80-e3ef3f2ee356 · outbound

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

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Motionlm: Multi-agent motion forecasting as language modeling

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.526407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 48ad67bd-bd27-472c-8a07-eb7d5e59c46a · outbound

This paper cites Self- attention with relative position representations.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Self- attention with relative position representations

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.507561Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 35c51cfa-ed51-4c92-9a15-05445318da88 · outbound

This paper cites Mtr v3: 1st place so- lution for 2024 waymo open dataset challenge - motion pre- diction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Mtr v3: 1st place so- lution for 2024 waymo open dataset challenge - motion pre- diction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.483805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9fffc87a-4526-40ac-815b-4cea219a619e · outbound

This paper cites Motion transformer with global intention localization and lo- cal movement refinement.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Motion transformer with global intention localization and lo- cal movement refinement

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.426150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation caa80515-7c04-458b-9b6e-517ae5db1ce4 · outbound

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

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.346068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3120d36d-eb0b-4ad4-a9e8-69dafd87e6be · outbound

This paper cites Weighted boxes fusion: Ensembling boxes from different ob- ject detection models.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Weighted boxes fusion: Ensembling boxes from different ob- ject detection models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.304486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 511f8914-3c39-435f-b855-c41e8c3bb61f · outbound

This paper cites RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios even if You Only Look Once.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling RMP-YOLO: A Robust Motion Predictor for Partially Observable Scenarios even if You Only Look Once

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:58:39.714063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5aa615f-ff30-4fe3-a284-be5d57bb8b60 · outbound

This paper cites M2i: From factored marginal trajectory pre- diction to interactive prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling M2i: From factored marginal trajectory pre- diction to interactive prediction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.286278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b03ce258-0995-4bb5-a40e-23044f0e087b · outbound

This paper cites Multiple futures prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Multiple futures prediction

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.263595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f246b6cb-0a01-40a2-9912-61671904b81a · outbound

This paper cites Ana- lyzing the variety loss in the context of probabilistic trajec- tory prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Ana- lyzing the variety loss in the context of probabilistic trajec- tory prediction

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.246216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3ed1dbd-fa6d-4755-a304-a346e7bb95cf · outbound

This paper cites Multipath++: Efficient in- formation fusion and trajectory aggregation for behavior pre- diction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Multipath++: Efficient in- formation fusion and trajectory aggregation for behavior pre- diction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.228644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a966406-4a42-4f19-8cd1-bbcbfb69447f · outbound

This paper cites Attention is all you need.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Attention is all you need

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.213454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a8fa448-220e-4b92-90ec-74ee74af7a9f · outbound

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

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Argoverse 2: Next generation datasets for self-driving perception and fore- casting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.133747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a7add09b-f2e2-434e-a21d-5f0040983d36 · outbound

This paper cites Spatio-temporal graph transformer networks for pedestrian trajectory prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Spatio-temporal graph transformer networks for pedestrian trajectory prediction

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.053112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 010bdc10-9176-4808-bbf0-33ec38435024 · outbound

This paper cites Tnt: Target-driven trajectory prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Tnt: Target-driven trajectory prediction

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.033531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation daea3aba-7521-4dfb-9b4b-fea8f5c78baf · outbound

This paper cites Smartrefine: A scenario-adaptive refinement framework for efficient motion prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Smartrefine: A scenario-adaptive refinement framework for efficient motion prediction

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.016889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation af6e2ec2-b16b-476b-bcf9-90d6b9498aa2 · outbound

This paper cites Hivt: Hierarchical vector transformer for multi-agent motion prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Hivt: Hierarchical vector transformer for multi-agent motion prediction

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:40.000651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 003c2741-9367-4767-827f-ca17b6c71708 · outbound

This paper cites Query-centric trajectory prediction.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Query-centric trajectory prediction

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:39.984396Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7ea89930-3579-4205-a4fc-b19fa6e4b582 · outbound

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

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Behaviorgpt: Smart agent simulation for autonomous driving with next-patch prediction

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:39.966699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66b36131-83f4-4491-acb8-b4d34c112320 · outbound

This paper cites By linearly scaling the 2-meter threshold across time steps, we obtain a distance threshold Γ(t) for each time step t: Γ (t) = t 30.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling By linearly scaling the 2-meter threshold across time steps, we obtain a distance threshold Γ(t) for each time step t: Γ (t) = t 30

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:39.814139Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4a7cb5e6-6480-447d-9e90-7740baa2e884 · outbound

This paper cites Our ensemble method is almost the same as WBF, except we are fus- ing trajectories according to distance thresholds rather than Table 6.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Our ensemble method is almost the same as WBF, except we are fus- ing trajectories according to distance thresholds rather than Table 6

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:39.781493Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d36b45d3-3a4d-4f07-b468-07f91f994fac · outbound

This paper cites early match.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling early match

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:39.764386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28dd0806-e6a4-4764-96b8-25d8de3028fc · outbound

This paper cites an unresolved cited work.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Unresolved cited work

Reference 57

Resolution: malformed identifier; raw_fallback, observed 2026-08-12T18:58:39.746900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 65249b5a-36f8-46e8-b315-a1769f4f1965 · outbound

This paper cites 4 to demonstrate our approach’s ability to produce representative trajectories and extrapolate more modes.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling 4 to demonstrate our approach’s ability to produce representative trajectories and extrapolate more modes

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:58:39.730484Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bf04bd3c-6808-4190-a6e6-1da4cb21aa83 · outbound

This paper cites an unresolved cited work.

ModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:58:39.907170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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