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Paper Citation Record · LEDGER

TrajFlow: Multi-modal Motion Prediction via Flow Matching

As of 8 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2506.08541.

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

pith.paper-citation-record.v1
2506.08541 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:34.864386Z

measured 67 of 67 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T05:15:24.308169Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:16:24.735061Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact3
  • verified fuzzy45
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation faf4a40f-9239-45e0-bc75-278d76b4df1e · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Learning lane graph representations for motion forecasting,

Reference 1

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no resolver link, observed 2026-08-07T05:14:34.522641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b06de4bd-27b4-4496-a766-2dcc1f1a89f4 · outbound

This paper cites Implicit latent variable model for scene-consistent motion forecasting,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Implicit latent variable model for scene-consistent motion forecasting,

Reference 2

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no resolver link, observed 2026-08-07T05:14:34.528698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e17cd2a7-24e9-441b-ab8a-eb64ef8dadf5 · outbound

This paper cites Safety-oriented pedestrian occupancy forecasting,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Safety-oriented pedestrian occupancy forecasting,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dc0e9aca-d85d-47e6-a2a7-74a336bd0275 · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Lanercnn: Distributed representations for graph-centric motion forecasting,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a00c000a-8c7b-4523-bfcf-49b5508f5f8c · outbound

This paper cites MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving.

TrajFlow: Multi-modal Motion Prediction via Flow Matching MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving

Reference 5

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local_arxiv, observed 2026-08-07T05:14:35.194173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0d20ac51-8a21-4516-8d11-f266533d0d29 · outbound

This paper cites Social nce: Contrastive learning of socially-aware motion representations,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Social nce: Contrastive learning of socially-aware motion representations,

Reference 6

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raw_fallback, observed 2026-08-07T05:14:36.023298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 35fd9e77-f531-4eb4-aab9-3971a773cf0b · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Argoverse: 3d tracking and forecasting with rich maps,

Reference 7

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raw_fallback, observed 2026-08-07T05:14:36.007918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 18a90867-0b0f-4d3d-94ab-fbdc65e8b144 · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset,

Reference 8

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raw_fallback, observed 2026-08-07T05:14:35.993178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.563153Z digest=sha256:ad310f89947952f8cba3a592a6810f7ac2b8d64c9c311a1c695dedb1522c4acf

Observation 69ea02d9-7e81-415a-ae9a-f764069062bb · outbound

This paper cites Tnt: Target-driven trajectory prediction,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Tnt: Target-driven trajectory prediction,

Reference 9

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raw_fallback, observed 2026-08-07T05:14:35.978473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 84f53b44-71b6-44e1-ba3e-876c679e11a7 · outbound

This paper cites Densetnt: End-to-end trajectory predic- tion from dense goal sets,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Densetnt: End-to-end trajectory predic- tion from dense goal sets,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d383f474-2d5b-4f04-9945-76c55f18aa20 · outbound

This paper cites Stochastic trajectory prediction via motion indeterminacy diffusion,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Stochastic trajectory prediction via motion indeterminacy diffusion,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation de71c83e-4902-40bc-bbfc-37e7f196a077 · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Leapfrog diffusion model for stochastic trajectory prediction,

Reference 12

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raw_fallback, observed 2026-08-07T05:14:35.935230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e42d78a0-b35a-4ecd-a721-cd5330cdecca · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Motiondiffuser: Controllable multi-agent motion prediction using diffusion,

Reference 13

Resolution
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raw_fallback, observed 2026-08-07T05:14:35.921731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.589393Z digest=sha256:0b95dc751df8737aa01433137502ccc111bb7dedf6a58e0019a34d0ffbc351ba

Observation 571da710-0990-462d-9af9-0ec794efdbbf · outbound

This paper cites Moflow: One-step flow matching for human trajectory forecasting via implicit maximum likelihood estimation based distillation,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Moflow: One-step flow matching for human trajectory forecasting via implicit maximum likelihood estimation based distillation,

Reference 14

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raw_fallback, observed 2026-08-07T05:14:35.907136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.594092Z digest=sha256:f21ae0e692c084048a91c668aa5ad2313f02e9f53c3fc6c2337d6275aa0142be

Observation 651039b8-da52-42cf-ae3e-442bdac33054 · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Motionlm: Multi-agent motion forecasting as language modeling,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e9174d2e-166e-4869-93a0-7b1f38f64584 · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Scene Transformer: A unified architecture for predicting multiple agent trajectories

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87a2416d-75c1-46d3-afbf-82e8af5aabd3 · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Wayformer: Motion forecasting via simple & efficient attention networks,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c6fd8787-6a37-4ae8-b0ee-45de28e8c014 · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Multipath++: Efficient information fusion and trajectory aggregation for behavior prediction,

Reference 18

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raw_fallback, observed 2026-08-07T05:14:35.862530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64bdbec4-3acb-4ca3-b062-50e8d553da8f · outbound

This paper cites Motion transformer with global intention localization and local movement refinement,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Motion transformer with global intention localization and local movement refinement,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7a5a1d69-ab45-42fa-9ecc-87de2626b31f · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 37a6c2df-67cf-4c58-9cdb-17fde91566c0 · outbound

This paper cites Query-centric trajectory prediction,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Query-centric trajectory prediction,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.629841Z digest=sha256:96daacc53541140d7d7f2eb47818d330353f18bcbb251545d9c6732f05af8c53

Observation 3d1a562a-4340-4e48-b792-d8ca5a552785 · outbound

This paper cites Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Hdgt: Heterogeneous driving graph transformer for multi-agent trajectory prediction via scene encoding,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:14:35.803917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.634489Z digest=sha256:c247956d23b144c75b4d7ec48869925d41b94a3b69d606e79d8c875588c84ed7

Observation 52460b2b-eaf5-4230-8905-cd2ff9fb09ba · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Eda: Evolving and distinct anchors for multimodal motion prediction,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:14:35.788556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 557a2980-67f0-416b-be10-0c119a7b58ea · outbound

This paper cites Reasoning multi-agent behavioral topology for interactive autonomous driving,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Reasoning multi-agent behavioral topology for interactive autonomous driving,

Reference 24

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raw_fallback, observed 2026-08-07T05:14:35.772240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cbdf6528-eb7e-40b5-adff-221cfd2c32a7 · outbound

This paper cites Social gan: Socially acceptable trajectories with generative adversarial net- works,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Social gan: Socially acceptable trajectories with generative adversarial net- works,

Reference 25

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raw_fallback, observed 2026-08-07T05:14:35.756228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.650619Z digest=sha256:fa3664a431451af693609579545bd0ae47473d5d4d6149b40cdc364b5b0803e3

Observation 3e4678c6-182e-41a1-b07d-0580e265b9cb · outbound

This paper cites Mg-gan: A multi- generator model preventing out-of-distribution samples in pedestrian trajectory prediction,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Mg-gan: A multi- generator model preventing out-of-distribution samples in pedestrian trajectory prediction,

Reference 26

Resolution
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raw_fallback, observed 2026-08-07T05:14:35.739676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.656365Z digest=sha256:e92ad08072d152c8af9a08c06b6db0a99bcdb9d05e1370315fe23a093b3457f0

Observation d5a02c5d-f673-48ca-b04a-4d59688979cb · outbound

This paper cites Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:14:35.724222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8d85ddf5-0b24-4228-a09d-366b023e02ec · outbound

This paper cites Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Dynamic-group-aware networks for multi-agent trajectory prediction with relational reasoning,

Reference 28

Resolution
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raw_fallback, observed 2026-08-07T05:14:35.709619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 83ac6568-94a9-4cca-8182-e8882b8bfee3 · outbound

This paper cites Muse-vae: Multi-scale vae for environment-aware long term trajec- tory prediction,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Muse-vae: Multi-scale vae for environment-aware long term trajec- tory prediction,

Reference 29

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raw_fallback, observed 2026-08-07T05:14:35.694119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9126fbae-c89d-4b54-9cbb-560c732a2cd0 · outbound

This paper cites Flow matching for generative modeling,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Flow matching for generative modeling,

Reference 30

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raw_fallback, observed 2026-08-07T05:14:35.677828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.677484Z digest=sha256:2afd8a9448bf0c6d1051561ed82907e118d6615a3deb19dd26608fcb53ef9498

Observation a5eb01d1-a488-460d-8f4f-c190079cb7e6 · outbound

This paper cites Attention is all you need,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Attention is all you need,

Reference 31

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no resolver link, observed 2026-08-07T05:14:34.682887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.682887Z digest=sha256:8d4d1b88ede9b76fee9ff42b09a6a961b2a3e306f4b8000369d3b11d02a81f75

Observation bba1d985-8af7-4d9b-adc5-2fbddba4dbf7 · outbound

This paper cites Denoising diffusion probabilistic models,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Denoising diffusion probabilistic models,

Reference 32

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raw_fallback, observed 2026-08-07T05:14:35.651583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 900380bc-62a1-4456-b388-7537eb38a09b · outbound

This paper cites Executing your commands via motion diffusion in latent space,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Executing your commands via motion diffusion in latent space,

Reference 33

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raw_fallback, observed 2026-08-07T05:14:35.637306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.693690Z digest=sha256:5a034b8854248ab29c8753a74a1463164caf29dc4bf6205b1529203a6a38201d

Observation 358b32be-091f-4e6f-8e84-1b3809794b94 · outbound

This paper cites Human Motion Diffusion Model.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Human Motion Diffusion Model

Reference 34

Resolution
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no resolver link, observed 2026-08-07T05:14:34.698904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.698904Z digest=sha256:ce55ade494cf07a215061c013b8d5d6e6c1e96bb0b46b55722ac2bda3a1f1281

Observation dc8b0871-880d-4ec2-a6f5-603d8fe4a775 · outbound

This paper cites Motiondiffuse: Text-driven human motion generation with diffusion model,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Motiondiffuse: Text-driven human motion generation with diffusion model,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.704339Z digest=sha256:8506f0a86e472f98524abc192e41238ca0009f492b1b6b433ef479af9efd1195

Observation db3923ef-00e0-4d3b-a18c-7d417d9f8263 · outbound

This paper cites GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion.

TrajFlow: Multi-modal Motion Prediction via Flow Matching GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.709277Z digest=sha256:bc6d16656cdf22145f4d55af217a5c0400c6acebab23ada5b21394befbbdb7b0

Observation 8218a341-6117-43c0-a55b-87f712ae63bc · outbound

This paper cites Interhandgen: Two-hand interaction generation via cascaded reverse diffusion,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Interhandgen: Two-hand interaction generation via cascaded reverse diffusion,

Reference 37

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raw_fallback, observed 2026-08-07T05:14:35.607440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.714527Z digest=sha256:02b55ebd6bf35dd94714733e5f48e228b7bd5ced048b2bbb6f9d04473985f382

Observation 938ae9ad-ffa9-4f5d-adda-2c3dedbb7d6f · outbound

This paper cites Latenthoi: On the generalizable hand object motion generation with latent hand diffusion.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Latenthoi: On the generalizable hand object motion generation with latent hand diffusion

Reference 38

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raw_fallback, observed 2026-08-07T05:14:35.592554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.720642Z digest=sha256:db1a03af11cf50d4ed233c62fadd2eeeb04b1f0af4985c4d4131d39dbb6ef004

Observation e85f8768-8c4a-4f0c-8ee8-6d848e658bc7 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 39

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raw_fallback, observed 2026-08-07T05:14:35.576983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.726724Z digest=sha256:b5cbc6ef29ece2e0d8765d802739ee39158d84b52bca551991211540592ef857

Observation ba5ec7c8-a001-42c2-ade4-9abe2456d6f0 · outbound

This paper cites The analysis of permutations,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching The analysis of permutations,

Reference 40

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raw_fallback, observed 2026-08-07T05:14:35.560491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.732581Z digest=sha256:75a7745005f0ef6bbc2eb30e3419bf61c36685dbdc8d3003526201ec31ab7fe6

Observation 2a506823-c0d9-45ff-9d51-0f06c37dccce · outbound

This paper cites an unresolved cited work.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Unresolved cited work

Reference 41

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unresolved
raw_fallback, observed 2026-08-07T05:14:35.545646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.738229Z digest=sha256:4cd17b48fb600a1772b3ed462f21221a5df438c9f9e4192917df8115280fdde3

Observation 9cedd26c-0796-45a6-8075-b83b79ffd4c3 · outbound

This paper cites Symmetricdiffusers: Learning discrete diffusion on finite symmetric groups,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Symmetricdiffusers: Learning discrete diffusion on finite symmetric groups,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T05:14:35.530625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.743544Z digest=sha256:740c34285366931d5b8048f091188169f03e82293f2da1335c3a0fec9af77468

Observation 0f29c5b6-1840-485d-b893-30f918bf64a1 · outbound

This paper cites Recoat: A deep learning-based framework for multi-modal motion prediction in autonomous driving application,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Recoat: A deep learning-based framework for multi-modal motion prediction in autonomous driving application,

Reference 43

Resolution
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raw_fallback, observed 2026-08-07T05:14:35.514410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.749185Z digest=sha256:42cfa2fbfe940cd27b28c68d3e6107736c5a724a445b4fb1d85b775a2bf74b3d

Observation 675c8f38-cfb3-4a78-945c-15fe39294b57 · outbound

This paper cites Controlmtr: Control-guided motion transformer with scene-compliant intention points for feasible motion prediction,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Controlmtr: Control-guided motion transformer with scene-compliant intention points for feasible motion prediction,

Reference 44

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raw_fallback, observed 2026-08-07T05:14:35.498154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.754197Z digest=sha256:b714e1730a17f4c1e4a26720b663845887d50b8548420eaf563571a85024d030

Observation a668943c-1559-4e55-a546-321b01f8ba48 · outbound

This paper cites Decoupled weight decay regularization,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Decoupled weight decay regularization,

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.759593Z digest=sha256:66a181430e1c5d3386bbce7a1b354fc3422e4b6c59695157c94be73e61bcba67

Observation 5a0f4dc9-9a27-401c-8419-7818b436fa1f · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Pytorch: An imperative style, high-performance deep learning library,

Reference 46

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raw_fallback, observed 2026-08-07T05:14:35.472370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.764899Z digest=sha256:922debfcfadb408d362071e8dfc2af4dd5a4d3d05cf0055748d0ad27327ec69a

Observation 894480e6-58d3-4343-abf7-f22f00fc0640 · outbound

This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.769719Z digest=sha256:c8fcd12aba61acebd6a111147e4860b04e47c08aec399f9f9659300c74ccecc4

Observation 8be9468f-c827-492b-84d6-ffd6b17ee269 · outbound

This paper cites SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation.

TrajFlow: Multi-modal Motion Prediction via Flow Matching SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation

Reference 48

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source=pdf_text observed=2026-08-07T05:14:34.775259Z digest=sha256:37326d9f54fc20549a6e3ecd8931c5bf8c7a24c948d56ef98dd4377f44b0aaf1

Observation f0b84632-51a0-42d2-b50c-82d21bb260c8 · outbound

This paper cites Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models

Reference 49

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local_arxiv, observed 2026-08-07T05:14:35.099988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.780679Z digest=sha256:a5fdc66617a827001f5ca0370cc15ead65badc045f4edc723bbe4e67807f0b05

Observation 027c494d-2d9a-472a-8f1c-c5df75abbe01 · outbound

This paper cites UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models.

TrajFlow: Multi-modal Motion Prediction via Flow Matching UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models

Reference 50

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source=pdf_text observed=2026-08-07T05:14:34.785770Z digest=sha256:47bbe99868c7c98897f0dca80ce352999605269da61721dfa470dff4731c16ee

Observation e7881a10-589a-49b2-90a6-c85a5eae543c · outbound

This paper cites Qdm: Quadtree- based region-adaptive sparse diffusion models for efficient image super-resolution,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Qdm: Quadtree- based region-adaptive sparse diffusion models for efficient image super-resolution,

Reference 51

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raw_fallback, observed 2026-08-07T05:14:35.061054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.791159Z digest=sha256:f237a410faddbe32033eb69b87af681dd847b62ad6a3fdb921cb8c9fc1271f20

Observation 55116df9-c99b-4a4b-83bc-7f782759e397 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Score-based generative modeling through stochastic differential equations,

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.796657Z digest=sha256:2361546919065f3b8ee0a9f239c8e8730367daf52e5871e27d229ce9c4bc76e7

Observation 6813da13-1551-4212-8c75-00d1360713ff · outbound

This paper cites Elucidating the design space of diffusion-based generative models,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Elucidating the design space of diffusion-based generative models,

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.802142Z digest=sha256:f586245c4660b3836145b3219a9f4f76ef104d643768b2772fe59f42d1a5d181

Observation 686b27ee-3e8b-441f-adb7-7f7ed277706b · outbound

This paper cites Video Diffusion Models: A Survey.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Video Diffusion Models: A Survey

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.806499Z digest=sha256:3d5c60e1af91541ad361f0b2524d3d1448a51a7b46f1442ccfc655785e686c6b

Observation 4f411788-2517-449d-ad34-9db9f8180e8a · outbound

This paper cites Multi-modal interactive agent trajec- tory prediction using heterogeneous edge-enhanced graph attention network,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Multi-modal interactive agent trajec- tory prediction using heterogeneous edge-enhanced graph attention network,

Reference 55

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raw_fallback, observed 2026-08-07T05:14:35.426969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.811050Z digest=sha256:bf428cc89be6680bf559504b72f24085c0c4c544b3a4c5888026865355e054fb

Observation 836fec48-b9f7-4e85-880f-7a695bdcf9d8 · outbound

This paper cites $AIR^2$ for Interaction Prediction.

TrajFlow: Multi-modal Motion Prediction via Flow Matching $AIR^2$ for Interaction Prediction

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T05:14:34.816281Z digest=sha256:13cc3314f42083dfd7dff3c261383600f7fc096357ce44652b8a6e6fec99bc08

Observation c64124b0-84fc-42a8-ae3d-6f8553e9a507 · outbound

This paper cites M2i: From factored marginal trajectory prediction to interactive prediction,.

TrajFlow: Multi-modal Motion Prediction via Flow Matching M2i: From factored marginal trajectory prediction to interactive prediction,

Reference 57

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source=pdf_text observed=2026-08-07T05:14:34.821098Z digest=sha256:b618f4649d9ab86e9bd3354c5a3ae410df7d7318998815b7d8cb82f112612e2e

Observation 03e41e58-7383-40e3-b8d9-ac99ccc88d2e · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving,

Reference 58

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source=pdf_text observed=2026-08-07T05:14:34.826363Z digest=sha256:4659870d58ac617f6e8e3b12e6e0f38afdc9078e0f9167ab72a2980e980ee2d5

Observation 76326592-4d5b-4311-8493-1e256b3b11ec · outbound

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

TrajFlow: Multi-modal Motion Prediction via Flow Matching AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving

Reference 59

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source=pdf_text observed=2026-08-07T05:14:34.831703Z digest=sha256:d8a41838862683ecdb61afefe9401ad1d1f95310eb282bb191d2c98d9064df69

Observation 3c756f34-9068-4567-86f5-dd31562901d9 · outbound

This paper cites an unresolved cited work.

TrajFlow: Multi-modal Motion Prediction via Flow Matching Unresolved cited work

Reference 60

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.837552Z digest=sha256:b4d7fe329f80feb3d4e061575b4734b47af2288361bfdc872be7fbe53408eed1

Observation 477e2499-0dee-45a0-87d8-a381fa8b4591 · outbound

This paper cites The context encoder has 6 layers, an embedding dimension of 256, and 8 attention heads.

TrajFlow: Multi-modal Motion Prediction via Flow Matching The context encoder has 6 layers, an embedding dimension of 256, and 8 attention heads

Reference 61

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raw_fallback, observed 2026-08-07T05:14:35.377403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.842401Z digest=sha256:90a68b0b9f0104eda3439dc6c128648f6d291f2b704303a6248298a7ab528bcd

Observation 5392506a-ab52-4843-9054-5aacb2979132 · outbound

This paper cites IV, covering both the standard val- idation and test splits, as well as the interactive validation and test sets.

TrajFlow: Multi-modal Motion Prediction via Flow Matching IV, covering both the standard val- idation and test splits, as well as the interactive validation and test sets

Reference 62

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raw_fallback, observed 2026-08-07T05:14:35.256441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.847903Z digest=sha256:5a70bb3a997ef609d15a74430a092a8abe078c7b9feb8d461c8ccd41c2b8fd20

Observation b3151ed8-60a0-4de2-a083-6c4078e5d221 · outbound

This paper cites V, comparing MTR [19] and our method on the WOMD validation set, which consists of 44,097 agents, using the same hardware (NVIDIA A100 80GB).

TrajFlow: Multi-modal Motion Prediction via Flow Matching V, comparing MTR [19] and our method on the WOMD validation set, which consists of 44,097 agents, using the same hardware (NVIDIA A100 80GB)

Reference 63

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.853203Z digest=sha256:2f94ba24581c8b9b3bf5b0baa010e706a012495fd46c25450877f16a5f792fda

Observation 2a3f7ba2-5d09-4c8a-90f9-d25d21973289 · outbound

This paper cites 4 and Fig.

TrajFlow: Multi-modal Motion Prediction via Flow Matching 4 and Fig

Reference 64

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.858931Z digest=sha256:a99b9713d87e8debe630567008c54ebdfc4fecc9b4bebe7f5df06c346880cb33

Observation e0100aa4-920f-4726-b21e-e846c7ccfc72 · outbound

This paper cites However, its reliability in edge cases—such as rare behaviors or complex interactions—remains an open question.

TrajFlow: Multi-modal Motion Prediction via Flow Matching However, its reliability in edge cases—such as rare behaviors or complex interactions—remains an open question

Reference 65

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raw_fallback, observed 2026-08-07T05:14:35.209913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:14:34.864386Z digest=sha256:753399cbd8b7027371ec5281365cfa80805cbc6cd1e9f56084c3aac5fdfe3225

Pith citing papers

Observation 8e8b1599-be6d-4ab7-b6ca-4737787d69ff · inbound

FlowS: One-Step Motion Prediction via Local Transport Conditioning cites this paper.

FlowS: One-Step Motion Prediction via Local Transport Conditioning TrajFlow: Multi-modal Motion Prediction via Flow Matching

Reference 12

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arxiv_id, observed 2026-05-12T00:21:21.847692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T15:29:43.164528Z digest=sha256:d9de83fc6ff8322b6bc6f5845330696882f864638f4e15ed130d1e57806bbf05

Observation 55e6dfbf-2b5d-4bcc-9e9e-960326d14cb8 · inbound

Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling cites this paper.

Heteroscedastic Diffusion for Multi-Agent Trajectory Modeling TrajFlow: Multi-modal Motion Prediction via Flow Matching

Reference 68

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arxiv_id, observed 2026-05-12T05:16:24.738956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T05:15:24.308169Z digest=sha256:23eeacfe22b2828f5dceaa5a05ffb6d84225e220e8dac0dfe5d941bdc88cc2e2