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Paper Citation Record · LEDGER

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2607.09741.

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

pith.paper-citation-record.v1
2607.09741 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:36:52.249427Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

68 of 68 outbound references displayed

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  • unresolved68
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Outbound references

Observation 9c956eb8-1507-4667-a313-fa227f054bb1 · outbound

This paper cites Smemo: social memory for trajectory forecasting,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Smemo: social memory for trajectory forecasting,

Reference 1

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Observation dc545cf6-ecd7-4db5-9715-9ec685847479 · outbound

This paper cites Modality exploration, retrieval and adaptation for trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Modality exploration, retrieval and adaptation for trajectory prediction,

Reference 2

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Observation 3a6a8a25-a2bc-4237-a2c3-b0dcb33983a7 · outbound

This paper cites Decoupling motion forecasting into directional intentions and dynamic states,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Decoupling motion forecasting into directional intentions and dynamic states,

Reference 3

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Observation 05e53333-3ca5-49b7-93d4-772d65267750 · outbound

This paper cites End-point drive and reverse enhanced decoding-based traffic participants trajectory prediction under bird’s eye view,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving End-point drive and reverse enhanced decoding-based traffic participants trajectory prediction under bird’s eye view,

Reference 4

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Observation 3a64f6c6-eb03-48c7-b348-e71223d0adc5 · outbound

This paper cites Sa-tp: A safety-aware trajectory prediction and planning model for autonomous driving,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Sa-tp: A safety-aware trajectory prediction and planning model for autonomous driving,

Reference 5

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Observation 0a6efe22-5d53-4da8-9b98-c2d549a5eb10 · outbound

This paper cites Social force embedded mixed graph convolutional network for multi-class trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Social force embedded mixed graph convolutional network for multi-class trajectory prediction,

Reference 6

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Observation 23827b56-1bdd-43ec-adb3-bb30c3c5371e · outbound

This paper cites Heterogeneous graph social pooling for interaction-aware vehicle trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Heterogeneous graph social pooling for interaction-aware vehicle trajectory prediction,

Reference 7

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Observation c870ae20-7e59-4d82-9354-b8b162073985 · outbound

This paper cites Diversity of information pathways drives sparsity in real-world networks,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Diversity of information pathways drives sparsity in real-world networks,

Reference 8

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Observation 3d01969f-963c-46e4-a64a-13aa756d61fc · outbound

This paper cites an unresolved cited work.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Unresolved cited work

Reference 9

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Observation 53fe47d4-2a5c-4edf-b3a6-f71d9a4ce605 · outbound

This paper cites Three-phase traffic theory and highway capacity,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Three-phase traffic theory and highway capacity,

Reference 10

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Observation d8fde747-2b3b-4fa5-8fba-19e34c9c8787 · outbound

This paper cites Attention-aware social graph transformer networks for stochastic trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Attention-aware social graph transformer networks for stochastic trajectory prediction,

Reference 11

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Observation 5aa1b377-6a60-4b9c-acbe-977606e0a781 · outbound

This paper cites Intention- aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Intention- aware vehicle trajectory prediction based on spatial-temporal dynamic attention network for internet of vehicles,

Reference 12

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Observation eeff1831-efaa-474e-9c95-3461f93a1aad · outbound

This paper cites Helbing, Social self-organization: Agent-based simulations and ex- periments to study emergent social behavior.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Helbing, Social self-organization: Agent-based simulations and ex- periments to study emergent social behavior

Reference 13

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Observation b4e91fd5-4233-4d95-add5-0b859ccbade2 · outbound

This paper cites Dstigcn: Deformable spatial- temporal interaction graph convolution network for pedestrian trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Dstigcn: Deformable spatial- temporal interaction graph convolution network for pedestrian trajectory prediction,

Reference 14

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Observation 3cb17dbe-efcd-48a1-9966-dace13558f75 · outbound

This paper cites Mtp-go: Graph- based probabilistic multi-agent trajectory prediction with neural odes,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Mtp-go: Graph- based probabilistic multi-agent trajectory prediction with neural odes,

Reference 15

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Observation 424bb8e1-daab-402d-82d0-e82a338248d5 · outbound

This paper cites Us highway 101 dataset,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Us highway 101 dataset,

Reference 16

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Observation 08ff94fd-a814-4afe-9d1d-0e086b8bb8a4 · outbound

This paper cites Hi-scl: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Hi-scl: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning,

Reference 17

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Observation d76ae788-325d-44f7-b70a-9268730c9c17 · outbound

This paper cites Physics- informed trajectory prediction for autonomous driving under missing observation,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Physics- informed trajectory prediction for autonomous driving under missing observation,

Reference 18

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Observation 1b4904f3-fe2d-4f13-babb-172e6afd4bd9 · outbound

This paper cites Social lstm: Human trajectory prediction in crowded spaces,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Social lstm: Human trajectory prediction in crowded spaces,

Reference 19

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Observation 51788e93-d86c-43c3-80c1-359dd1e04a1a · outbound

This paper cites A cognitive-based trajectory prediction approach for autonomous driving,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving A cognitive-based trajectory prediction approach for autonomous driving,

Reference 20

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Observation 18bdaf0b-4e78-4d6a-9a88-ac64737b0e08 · outbound

This paper cites Multimodal trajectory prediction conditioned on lane-graph traversals,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Multimodal trajectory prediction conditioned on lane-graph traversals,

Reference 21

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Observation 8c5bee85-5c4f-4d6f-b116-8dfb110c598a · outbound

This paper cites Q-eanet: Implicit social modeling for trajectory prediction via experience-anchored queries,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Q-eanet: Implicit social modeling for trajectory prediction via experience-anchored queries,

Reference 22

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Observation b6933beb-4650-402c-bba8-041e2c057880 · outbound

This paper cites Toward human-like trajec- tory prediction for autonomous driving: A behavior-centric approach,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Toward human-like trajec- tory prediction for autonomous driving: A behavior-centric approach,

Reference 23

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Observation cecc88a4-e8c9-42ac-8556-8fa8605e0e25 · outbound

This paper cites Nettraj: A network-based vehicle trajectory prediction model with directional representation and spatiotemporal attention mechanisms,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Nettraj: A network-based vehicle trajectory prediction model with directional representation and spatiotemporal attention mechanisms,

Reference 24

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Observation dd8b2764-3e32-49c7-85d8-40f2c8686f28 · outbound

This paper cites Collective dynamics of ‘small- world’networks,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Collective dynamics of ‘small- world’networks,

Reference 25

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Observation c1dda803-0e61-478e-9564-3c0b758d222a · outbound

This paper cites Cultural and opinion dynamics in small-world “social.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Cultural and opinion dynamics in small-world “social

Reference 26

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Observation 0fc10373-7dd7-4e8c-86b0-3801f62f59af · outbound

This paper cites Navigation in a small world,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Navigation in a small world,

Reference 27

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Observation e66c4d54-178b-44fe-ba58-f9ba1bbed932 · outbound

This paper cites Electric vehicle charging planning: A complex systems perspective,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Electric vehicle charging planning: A complex systems perspective,

Reference 28

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Observation 3ca47e83-45d1-4818-8b80-0c0c0fd85b9a · outbound

This paper cites A shockwave profile model for traffic flow on congested urban arterials,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving A shockwave profile model for traffic flow on congested urban arterials,

Reference 29

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Observation 32912ba4-a779-48fe-812f-0e8e42876271 · outbound

This paper cites Nest: A neuromodulated small-world hypergraph trajectory prediction model for autonomous driving,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Nest: A neuromodulated small-world hypergraph trajectory prediction model for autonomous driving,

Reference 30

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Observation f595f966-869c-4c9e-8cf9-18e1b65c5359 · outbound

This paper cites Bat: Behavior-aware human-like trajectory prediction for autonomous driv- ing,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Bat: Behavior-aware human-like trajectory prediction for autonomous driv- ing,

Reference 31

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Observation 4c2ddcc0-54cb-4889-b0bb-7e43d1dc7e2c · outbound

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Hivt: Hierarchical vector transformer for multi-agent motion prediction,

Reference 32

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Observation 57d96692-d1c1-455b-a611-f093b09ac071 · outbound

This paper cites Small-World Formation via Local Information.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Small-World Formation via Local Information

Reference 33

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Observation a5eeac81-8fbe-4e08-9356-daa9cffc9fc5 · outbound

This paper cites The physics of traffic,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving The physics of traffic,

Reference 34

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Observation 8f2693ca-49a3-42c5-8943-add885b43a28 · outbound

This paper cites Dynamical model of traffic congestion and numerical simulation,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Dynamical model of traffic congestion and numerical simulation,

Reference 35

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Observation bbb54904-d979-4bec-9c64-cef299fc3231 · outbound

This paper cites Analysis of optimal velocity model with explicit delay,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Analysis of optimal velocity model with explicit delay,

Reference 36

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Observation f0e7e304-23ce-48f3-b473-53f964d195e1 · outbound

This paper cites Speed or spacing? cumulative variables, and convolution of model errors and time in traffic flow models valida- tion and calibration,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Speed or spacing? cumulative variables, and convolution of model errors and time in traffic flow models valida- tion and calibration,

Reference 37

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Observation 94c9b8c2-9906-4687-8053-597213e50276 · outbound

This paper cites Fourier transforms and the fast fourier transform (fft) algorithm,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Fourier transforms and the fast fourier transform (fft) algorithm,

Reference 38

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Observation f930f2b3-7d6f-4cc5-afd8-6206be29bfd5 · outbound

This paper cites Car-following models: fifty years of linear stability analysis–a mathematical perspective,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Car-following models: fifty years of linear stability analysis–a mathematical perspective,

Reference 39

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Observation 516b57ff-8bdf-4292-940f-6bac8b1ab705 · outbound

This paper cites Mechanisms for spatio-temporal pattern formation in highway traffic models,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Mechanisms for spatio-temporal pattern formation in highway traffic models,

Reference 40

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Observation b5371266-0a0d-4129-9cec-5882d484514d · outbound

This paper cites Coherent moving states in highway traffic,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Coherent moving states in highway traffic,

Reference 41

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Observation 0c398146-f739-46db-ad82-f3216abbec19 · outbound

This paper cites An extension of parseval’s theorem and its use in calculating transient energy in the frequency domain,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving An extension of parseval’s theorem and its use in calculating transient energy in the frequency domain,

Reference 42

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:627df1e275faa914d0be0aab8c0b4af4eecf222d05da03a61745f809d5400b22

Observation b7875022-3b27-4a52-95b8-49f5bf8a7d8a · outbound

This paper cites Directed Graph Convolutional Network.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Directed Graph Convolutional Network

Reference 43

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Observation efc41566-493c-470d-bc39-3fd618e7121c · outbound

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 44

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:6f85c9f46ff57d76a14729bb5b1caffd12ef47fc93707e4a1dea4d9bffea96f6

Observation 69cea78a-6c58-4016-9435-b03e1bbc3d79 · outbound

This paper cites Ngsim—next generation simulation,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Ngsim—next generation simulation,

Reference 45

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Observation 45e53bd2-ca97-44d5-81c1-b0a70b0bfe2b · outbound

This paper cites Wake: Towards robust and physically feasible trajectory prediction for autonomous vehicles with wavelet and kinematics synergy,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Wake: Towards robust and physically feasible trajectory prediction for autonomous vehicles with wavelet and kinematics synergy,

Reference 46

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:0bbf97e4b05a426c0037e9775e4604b3f0b08c578073a7305d0ddd7d4476a1de

Observation 4d8bedd1-21eb-44b7-84d6-2dc9441c9c68 · outbound

This paper cites Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Trajectron++: Dynamically-feasible trajectory forecasting with heterogeneous data,

Reference 47

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:9d8988a5de669c3229dfae7d305f4dadeb5429d4eabe68eec1aeecee20773138

Observation 9d4013aa-9185-4ff0-bd18-f3ec9d242e71 · outbound

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction,

Reference 48

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Observation c01a0a81-a5e6-44e2-8bdc-07179ba8a9ee · outbound

This paper cites Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Agentformer: Agent-aware transformers for socio-temporal multi-agent forecasting,

Reference 49

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:9735ea7e8091bfb320743a8a33cfcb7d2aab0da64a4d3c417846f2baeaeca490

Observation 9780fc66-a1e6-4260-a8ba-0c500692e2b4 · outbound

This paper cites Lapred: Lane-aware prediction of multi-modal future trajectories of dynamic agents,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Lapred: Lane-aware prediction of multi-modal future trajectories of dynamic agents,

Reference 50

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:8949c1b8d451bdbfead166cc01481233f89055d17a73b9e2aaef5067d7a186b9

Observation 6e04d998-20bf-4883-9e92-a6df3e3411ab · outbound

This paper cites Stgm: Vehicle trajectory prediction based on generative model for spatial-temporal features,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Stgm: Vehicle trajectory prediction based on generative model for spatial-temporal features,

Reference 51

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:997c634a461c2c72fb8148371c377481a136169fb3e2b55983d2c92c50148444

Observation 229c923b-1a90-4723-9ecd-5259498b7757 · outbound

This paper cites Gohome: Graph-oriented heatmap output for future motion estimation,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Gohome: Graph-oriented heatmap output for future motion estimation,

Reference 52

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Observation b07c114c-d3fd-41db-aef6-e87f868feaef · outbound

This paper cites Context-aware timewise vaes for real-time vehicle trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Context-aware timewise vaes for real-time vehicle trajectory prediction,

Reference 53

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:5fee4b58510752851d2fa3d0200b5aea70cf5f385db36efe41a147586d17f87d

Observation 741a780a-b06c-4c21-9bf5-1960eab4e540 · outbound

This paper cites Emsin: Enhanced multi-stream interaction network for vehicle trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Emsin: Enhanced multi-stream interaction network for vehicle trajectory prediction,

Reference 54

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:d0d153909f5949c799aaa970ca888ea74a2df787830c6f27f6072a858dee0a2a

Observation f7e51103-1c21-4b99-a374-6ec2ddc36160 · outbound

This paper cites Cot-drive: Efficient motion forecasting for autonomous driving with llms and chain-of-thought prompting,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Cot-drive: Efficient motion forecasting for autonomous driving with llms and chain-of-thought prompting,

Reference 55

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:4c4ce30be067adf61b0b614abb0fa06b9928867babeb3f4bd679f34d3cecb897

Observation 8d25d2f2-ee96-469f-8ac2-3f276ac7e23c · outbound

This paper cites Seflow: A self-supervised scene flow method in autonomous driving,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Seflow: A self-supervised scene flow method in autonomous driving,

Reference 56

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:3634d063dca5ecee9fd9d0cb58718334d5ace871cde6f0cf2a8c7bc2cd21e113

Observation c6722966-fba0-474e-ad24-e4fd141c5439 · outbound

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

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Social gan: Socially acceptable trajectories with generative adversarial networks,

Reference 57

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:1e76ebe6bee9c9b2d18a49391ee2ded47df7a94169c054706c109a61dc2b61cf

Observation 96126528-89a1-40d1-9962-f075c19b10f2 · outbound

This paper cites Convolutional social pooling for vehicle tra- jectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Convolutional social pooling for vehicle tra- jectory prediction,

Reference 58

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Observation ee31a9ea-57c4-4e6a-bac6-89531fe914f8 · outbound

This paper cites Non-local social pooling for vehicle trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Non-local social pooling for vehicle trajectory prediction,

Reference 59

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Observation aa906d43-dcf0-4653-80c8-ad6a9e579af8 · outbound

This paper cites Attention based vehicle trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Attention based vehicle trajectory prediction,

Reference 60

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:394783da808feff4ed5b50fcf9f008ae6134a48681f752e1af9ffe469114189f

Observation 38071fed-e215-45c4-90d4-dc7f80af675a · outbound

This paper cites Congestion-aware multi-agent trajectory prediction for collision avoidance,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Congestion-aware multi-agent trajectory prediction for collision avoidance,

Reference 61

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Observation 38de2cdb-16c5-4b2b-a72a-5b7406c0ff94 · outbound

This paper cites Wsip: wave superposition inspired pooling for dynamic interactions-aware trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Wsip: wave superposition inspired pooling for dynamic interactions-aware trajectory prediction,

Reference 62

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Observation 18dc05db-5cb6-40ea-8553-914077afa774 · outbound

This paper cites Multi-agent tensor fusion for contextual trajectory prediction,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Multi-agent tensor fusion for contextual trajectory prediction,

Reference 63

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Observation 436bd7ab-b3bb-46a0-b7ee-69303d414785 · outbound

This paper cites Vehicle trajec- tory prediction based on intention-aware non-autoregressive transformer with multi-attention learning for internet of vehicles,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Vehicle trajec- tory prediction based on intention-aware non-autoregressive transformer with multi-attention learning for internet of vehicles,

Reference 64

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Observation 3d38bb8c-ea40-4a66-92f5-8a0fc540d393 · outbound

This paper cites Trajectory prediction network of autonomous vehicles with fusion of historical interactive features,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Trajectory prediction network of autonomous vehicles with fusion of historical interactive features,

Reference 65

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Observation 1d2ba9af-7792-4c0a-93e6-46d631a71d76 · outbound

This paper cites Dacr-amtp: Adaptive multi-modal vehicle trajectory prediction for dynamic drivable areas based on collision risk,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Dacr-amtp: Adaptive multi-modal vehicle trajectory prediction for dynamic drivable areas based on collision risk,

Reference 66

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source=pdf_text observed=2026-07-14T16:36:52.249427Z digest=sha256:632ef4147e68e0ab0c90a941513be21551a3ccd48488334c15b44d1db87a698d

Observation a848c02e-fe28-41fd-98d8-1eab3494bfcc · outbound

This paper cites Human observation-inspired trajectory prediction for autonomous driving in mixed-autonomy traffic environments,.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Human observation-inspired trajectory prediction for autonomous driving in mixed-autonomy traffic environments,

Reference 67

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Observation b0b3edd6-49f1-410c-8ac5-63e4d0638d70 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 68

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Pith citing papers

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