SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement | Paper Citation Record

Observation 4dc6025e-758f-4ebd-ae7c-f2138912a0e9 · outbound

This paper cites Theory of braids.Annals of Mathematics, 48(1): 101–126, 1947.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Theory of braids.Annals of Mathematics, 48(1): 101–126, 1947

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:43.591878Z

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Observation fa40fcf0-0fa9-4eb2-a9a3-934ac8b41336 · outbound

This paper cites Adapt: Efficient multi-agent trajectory prediction with adaptation.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Adapt: Efficient multi-agent trajectory prediction with adaptation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:43.432648Z

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.

Observation c0fa357c-7479-4cb3-a97a-20fca7ef0314 · outbound

This paper cites Path planning for multiple tethered robots using topological braids.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Path planning for multiple tethered robots using topological braids

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:43.301224Z

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.

Observation 7c397c21-70b9-4fe3-bd37-13fb3b4b737c · outbound

This paper cites Neptune: Nonentangling trajec- tory planning for multiple tethered unmanned vehicles.IEEE Transactions on Robotics, 39(4):2786–2804, 2023.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Neptune: Nonentangling trajec- tory planning for multiple tethered unmanned vehicles.IEEE Transactions on Robotics, 39(4):2786–2804, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:43.152397Z

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.

Observation afff6e9d-37b8-4f8c-a3bf-0eac919a196c · outbound

This paper cites MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.441830Z

Source-reported events for the cited work

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Observation fd06919d-7879-4785-9267-2582ee50606e · outbound

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

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Forecast-mae: Self-supervised pre-training for motion forecasting with masked autoencoders

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:43.006169Z

Source-reported events for the cited work

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Observation a526bf9d-4db1-44e4-a400-8fada1047617 · outbound

This paper cites R-pred: Two-stage motion prediction via tube-query attention-based trajectory refinement.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement R-pred: Two-stage motion prediction via tube-query attention-based trajectory refinement

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:42.886038Z

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.

Observation 3b062d99-a933-49bb-81f2-000d860f76d8 · outbound

This paper cites Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Vectornet: Encoding hd maps and agent dynamics from vectorized rep- resentation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.484350Z

Source-reported events for the cited work

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Observation dd953743-ddf1-4bdb-8087-9b89ac2bd72d · outbound

This paper cites Latent variable sequential set transformers for joint multi-agent motion prediction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Latent variable sequential set transformers for joint multi-agent motion prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:42.710835Z

Source-reported events for the cited work

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Observation a32be1f4-a73e-47ae-8039-b8abd2537e70 · outbound

This paper cites Densetnt: End-to-end trajectory prediction from dense goal sets.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Densetnt: End-to-end trajectory prediction from dense goal sets

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:42.583403Z

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.

Observation d6b48738-65c1-4540-81a8-bf003d3b8a69 · outbound

This paper cites Optimal maneuver for mul- tiple aircraft conflict resolution: a braid point of view.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Optimal maneuver for mul- tiple aircraft conflict resolution: a braid point of view

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:42.467268Z

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.

Observation 954a6c93-7770-4291-a34e-cab4812087e0 · outbound

This paper cites Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:42.366427Z

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.

Observation a923c899-d5ba-49cb-b4a4-5ed8ee1a5367 · outbound

This paper cites Learning lane graph represen- tations for motion forecasting.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Learning lane graph represen- tations for motion forecasting

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.520265Z

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Observation 3e9d075b-95c2-4397-a5b2-02180d258577 · outbound

This paper cites Reasoning multi-agent behavioral topology for interac- tive autonomous driving.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Reasoning multi-agent behavioral topology for interac- tive autonomous driving

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:42.267055Z

Source-reported events for the cited work

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Observation 1d8a8fe3-5691-4fc7-be21-3079da2f9558 · outbound

This paper cites an unresolved cited work.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:56:42.168685Z

Source-reported events for the cited work

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Observation 649a3485-1b89-4681-ac44-6f2e75d50dbd · outbound

This paper cites Scene transformer: A unified architecture for predicting fu- ture trajectories of multiple agents.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Scene transformer: A unified architecture for predicting fu- ture trajectories of multiple agents

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.997732Z

Source-reported events for the cited work

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Observation 9751190f-5fd0-43a0-9318-fe9d9ccb287a · outbound

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

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Covernet: Multimodal behavior prediction using trajectory sets

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.817993Z

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.

Observation 60f459ee-cb30-4126-96bb-8b409ecd9540 · outbound

This paper cites From caging to grasp- ing.The International Journal of Robotics Research, 31(7): 886–900, 2012.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement From caging to grasp- ing.The International Journal of Robotics Research, 31(7): 886–900, 2012

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.668810Z

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.

Observation a487cc5c-c8fd-42a0-ad14-d98bd7b2341d · outbound

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

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Fjmp: Factorized joint multi-agent motion prediction over learned directed acyclic interaction graphs

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.562897Z

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.

Observation 80ca6d62-5f0c-4e45-a96f-23c6769aa02f · outbound

This paper cites Motion transformer with global intention localization and lo- cal movement refinement.Advances in Neural Information Processing Systems, 35:6531–6543, 2022.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Motion transformer with global intention localization and lo- cal movement refinement.Advances in Neural Information Processing Systems, 35:6531–6543, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.519002Z

Source-reported events for the cited work

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Observation df313517-ff05-4671-a5ea-6e16082441a9 · outbound

This paper cites Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.494942Z

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.

Observation 1f1a1edb-3cfe-4e66-9890-0c1684f4a217 · outbound

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

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement M2i: From factored marginal trajectory pre- diction to interactive prediction

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.471648Z

Source-reported events for the cited work

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Observation 223fb7a6-13a7-481e-814d-d7f07cd9bb95 · outbound

This paper cites Hpnet: Dynamic trajectory fore- casting with historical prediction attention.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Hpnet: Dynamic trajectory fore- casting with historical prediction attention

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.591475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae953c9-edcb-4218-8c7d-8c01542ef820 · outbound

This paper cites Identifying driver interactions via conditional be- havior prediction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Identifying driver interactions via conditional be- havior prediction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.435916Z

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.

Observation 564ecfe0-c726-40ad-88aa-2be139bb76dc · outbound

This paper cites Multipath++: Efficient information fu- sion and trajectory aggregation for behavior prediction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Multipath++: Efficient information fu- sion and trajectory aggregation for behavior prediction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.418377Z

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.

Observation 157aa63b-c07c-40ca-ae1c-976b595f4e61 · outbound

This paper cites Ganet: Goal area network for mo- tion forecasting.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Ganet: Goal area network for mo- tion forecasting

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.395639Z

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.

Observation f45f9854-0f64-476f-a527-108d1a1c65f8 · outbound

This paper cites FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement FutureNet-LOF: Joint Trajectory Prediction and Lane Occupancy Field Prediction with Future Context Encoding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.630741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f952abf-e6a8-4893-aec1-4763196ea9e7 · outbound

This paper cites Coordination-free Multi-robot Path Planning for Congestion Reduction Using Topological Reasoning.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Coordination-free Multi-robot Path Planning for Congestion Reduction Using Topological Reasoning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:56:40.973754Z

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.

Observation 204e1053-afdd-44d3-bc8e-fc04163f8879 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.647284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf998a5a-75c9-4fdf-87a7-238eb6a86b3d · outbound

This paper cites FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:56:40.910177Z

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.

Observation a6ed8ce1-205e-4471-aabd-96bf31a27d03 · outbound

This paper cites Tpcn: Tempo- ral point cloud networks for motion forecasting.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Tpcn: Tempo- ral point cloud networks for motion forecasting

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.372621Z

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.

Observation d5f639b4-d2c7-4986-82c8-7c032d77c953 · outbound

This paper cites Bootstrap motion forecast- ing with self-consistent constraints.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Bootstrap motion forecast- ing with self-consistent constraints

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.347777Z

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.

Observation 228bbb5e-f618-4e55-9a39-39101590f26e · outbound

This paper cites Lanercnn: Distributed representations for graph-centric motion forecasting.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Lanercnn: Distributed representations for graph-centric motion forecasting

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.325618Z

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.

Observation 10e3db20-c524-481d-851f-08ef768c1d4b · outbound

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

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.684521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db18bf30-3845-4490-a528-56b7f1205648 · outbound

This paper cites DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:40.695742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be25dd3-4595-4985-b66e-7092f0455da0 · outbound

This paper cites Simpl: A simple and efficient multi-agent motion prediction base- line for autonomous driving.IEEE Robotics and Automation Letters, 2024.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Simpl: A simple and efficient multi-agent motion prediction base- line for autonomous driving.IEEE Robotics and Automation Letters, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.306991Z

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.

Observation b48bddbd-0da9-4167-ad81-8a78630ab498 · outbound

This paper cites Tnt: Target-driven trajectory pre- diction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Tnt: Target-driven trajectory pre- diction

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.287539Z

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.

Observation c44940b6-3eb4-41ee-9b7f-9bc86382f461 · outbound

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

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Smartrefine: A scenario-adaptive refinement framework for efficient motion prediction

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.268200Z

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.

Observation 48d3d17f-6ce2-44fe-af0a-608bf0d797b1 · outbound

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

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Hivt: Hierarchical vector transformer for multi-agent motion prediction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.243768Z

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.

Observation 12ed886f-ac18-4261-9346-09afcd4864c8 · outbound

This paper cites Query-centric trajectory prediction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Query-centric trajectory prediction

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.224139Z

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.

Observation 95ba9749-ffc3-4267-a45d-0ccead28cd5d · outbound

This paper cites Biff: Bi-level future fusion with polyline-based coordinate for interactive trajec- tory prediction.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Biff: Bi-level future fusion with polyline-based coordinate for interactive trajec- tory prediction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.200644Z

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.

Observation 3b717b1e-5cd3-4f61-8989-8a052f8a6714 · outbound

This paper cites missed”(>2m FDE) in the the “best.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement missed”(>2m FDE) in the the “best

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.151098Z

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.

Observation 67c2b1a1-1908-4534-8db3-3f8175a12ac3 · outbound

This paper cites It pre- dicts the intersection relationships between future trajec- tories and uses ground truth (GT) to supervise these rela- tionships.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement It pre- dicts the intersection relationships between future trajec- tories and uses ground truth (GT) to supervise these rela- tionships

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.129587Z

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.

Observation ce135390-5301-45a1-8d26-a418491655b8 · outbound

This paper cites Ablation study of the effect of each components of SRefiner with FJMP [19] on Argoverse v2 [29].

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Ablation study of the effect of each components of SRefiner with FJMP [19] on Argoverse v2 [29]

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.094630Z

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.

Observation 18e5512a-048a-4273-8424-385949618b3c · outbound

This paper cites Here, we present ablation studies using FJMP [19] on both two datasets.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement Here, we present ablation studies using FJMP [19] on both two datasets

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.058700Z

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

Observation 966bd186-e541-4ee0-bd64-c65ed6192e77 · outbound

This paper cites 6:Details of evaluation metrics.

SRefiner: Soft-Braid Attention for Multi-Agent Trajectory Refinement 6:Details of evaluation metrics

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:56:41.171692Z

Source-reported events for the cited work

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