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Paper Citation Record · LEDGER

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights

As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2501.07711.

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

pith.paper-citation-record.v1
2501.07711 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:43:07.888299Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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  • verified fuzzy51
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 26ea6047-e1b7-4252-a21f-95361fa560c9 · outbound

This paper cites Understanding private car aggregation effect via spatio-temporal analy- sis of trajectory data,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Understanding private car aggregation effect via spatio-temporal analy- sis of trajectory data,

Reference 1

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Observation e8a48e4f-b516-4100-96ba-39bd8980f562 · outbound

This paper cites A Fusion Framework based on Sparse Gaussian-Wigner Prediction for Vehicle Localization using GDOP of GPS Satellites,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights A Fusion Framework based on Sparse Gaussian-Wigner Prediction for Vehicle Localization using GDOP of GPS Satellites,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9edf843e-10ff-40e4-8579-89ed374be855 · outbound

This paper cites An empirical study of travel behavior using private car trajectory data,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights An empirical study of travel behavior using private car trajectory data,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6e82c2f6-4891-45c1-8dda-cf9c8c48d8b2 · outbound

This paper cites Vehicle trajectory interpolation based on ensemble transfer regression,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Vehicle trajectory interpolation based on ensemble transfer regression,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fdf977bf-d03e-41be-96b4-e463fcdceb86 · outbound

This paper cites Trajectory data acquisition via private car positioning based on tightly-coupled gps/obd integration in urban environments,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Trajectory data acquisition via private car positioning based on tightly-coupled gps/obd integration in urban environments,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4dec8907-65ec-4759-af6d-72412d370474 · outbound

This paper cites Exploring individual travel patterns across private car trajectory data,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Exploring individual travel patterns across private car trajectory data,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6f815d1a-8532-4286-ab70-74bb428a16f7 · outbound

This paper cites Trajectory prediction for autonomous driving using spatial-temporal graph attention transformer,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Trajectory prediction for autonomous driving using spatial-temporal graph attention transformer,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 93fc775b-4a56-4b74-b26e-c9e54b4a47bc · outbound

This paper cites View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1ff5ec4c-bb57-48b2-a208-839e1283dc94 · outbound

This paper cites Intent prediction of pedestrians via motion trajectories using stacked recurrent neural networks,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Intent prediction of pedestrians via motion trajectories using stacked recurrent neural networks,

Reference 9

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raw_fallback, observed 2026-08-10T20:43:08.521774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 32ded890-eb30-46fc-8705-b5d0833ea73a · outbound

This paper cites Cscnet: Contex- tual semantic consistency network for trajectory prediction in crowded spaces,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Cscnet: Contex- tual semantic consistency network for trajectory prediction in crowded spaces,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 79439dbc-8bcc-4fd1-a5cc-aa8b4c39940e · outbound

This paper cites Intent prediction and trajectory forecasting via predictive inverse linear-quadratic regulation,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Intent prediction and trajectory forecasting via predictive inverse linear-quadratic regulation,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2819d24e-5f15-43d9-bbfb-ef2093b5b66d · outbound

This paper cites Location prediction for individual vehicles via exploiting travel regularity and preference,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Location prediction for individual vehicles via exploiting travel regularity and preference,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.486585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 346769c9-8446-4273-9f12-2987b83b1fa7 · outbound

This paper cites Perception Task Offloading with Collaborative Computation for Autonomous Driving,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Perception Task Offloading with Collaborative Computation for Autonomous Driving,

Reference 13

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raw_fallback, observed 2026-08-10T20:43:08.475014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8c916e1c-4feb-4e26-82e7-03e85acf8781 · outbound

This paper cites Toward col- laborative occlusion-free perception in connected autonomous vehicles,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Toward col- laborative occlusion-free perception in connected autonomous vehicles,

Reference 14

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raw_fallback, observed 2026-08-10T20:43:08.464001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 70d7dbf7-337b-477d-8a79-3459b9542737 · outbound

This paper cites A deep spatiotemporal perspective for understanding crowd behavior,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights A deep spatiotemporal perspective for understanding crowd behavior,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3c6989bf-4e45-4f3d-93b5-53efee1b6f91 · outbound

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

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social lstm: Human trajectory prediction in crowded spaces,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 051b6149-65ce-4f50-a97b-8dd1aaf32e5b · outbound

This paper cites Social attention: Modeling attention in human crowds,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social attention: Modeling attention in human crowds,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ccca91e8-2319-46f6-bc12-438aa11ba057 · outbound

This paper cites Encoding crowd interaction with deep neural network for pedestrian trajectory prediction,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Encoding crowd interaction with deep neural network for pedestrian trajectory prediction,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a3f716f9-4f2f-4cac-a9ed-b71b1fc90ccc · outbound

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

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social gan: Socially acceptable trajectories with generative adversarial networks,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a02dd1ad-308b-483a-bde6-ec10ef6a98d8 · outbound

This paper cites Sophie: An attentive gan for predicting paths compliant to social and physical constraints,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Sophie: An attentive gan for predicting paths compliant to social and physical constraints,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bb7a3fe6-33c1-4c9f-a02f-b061fcc7200f · outbound

This paper cites Social-bigat: Multimodal trajectory forecasting using 12 bicycle-gan and graph attention networks,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social-bigat: Multimodal trajectory forecasting using 12 bicycle-gan and graph attention networks,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 98ab6473-4abe-417f-995d-c9b644bd84b7 · outbound

This paper cites Stgat: Modeling spatial- temporal interactions for human trajectory prediction,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Stgat: Modeling spatial- temporal interactions for human trajectory prediction,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.374173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f2699f72-b6d5-4e25-9a22-7fbafb629860 · outbound

This paper cites Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social-stgcnn: A social spatio-temporal graph convolutional neural network for human trajectory prediction,

Reference 23

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 7e719d58-007c-42e4-8267-bece5d6b2629 · outbound

This paper cites Conditional generative adversarial nets,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Conditional generative adversarial nets,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation debf76dd-01a9-49fb-89b2-5c787285fddb · outbound

This paper cites Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.342302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bb20da08-d682-4128-8289-194a918a8d79 · outbound

This paper cites Recognition-oriented image compressive sensing with deep learning,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Recognition-oriented image compressive sensing with deep learning,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 97c7ea37-3047-4f7d-9f84-def6a764bce5 · outbound

This paper cites A new perspective on stabilizing gans training: Direct adversarial training,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights A new perspective on stabilizing gans training: Direct adversarial training,

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e57d3d94-3d05-4638-a3f6-83f1aba6e39d · outbound

This paper cites A Comprehensive Survey on Data-Efficient GANs in Image Generation.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights A Comprehensive Survey on Data-Efficient GANs in Image Generation

Reference 28

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Source-reported events for the cited work

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Observation ae469748-e6b2-48e7-8b41-50475ba80d31 · outbound

This paper cites FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c8258079-6bb9-4592-8cdc-138a51272cb8 · outbound

This paper cites A systematic survey of regularization and normalization in gans,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights A systematic survey of regularization and normalization in gans,

Reference 30

Resolution
verified exact
doi, observed 2026-08-10T20:43:07.925593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.772039Z digest=sha256:bb5be465d889abe27aa2b4c3df90b787cdad6a65abf62a2171933a4698f2b086

Observation 09865ea8-cdbf-412b-88c0-8b9823d74538 · outbound

This paper cites Social force model for pedestrian dynamics,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social force model for pedestrian dynamics,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.305596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.775767Z digest=sha256:0a8c049129087761658dfb777c7c95df8d5cbb940bf7daa5e4c1b9acd579733f

Observation 82275c9c-3a0b-47d0-beb2-93e78577a8ee · outbound

This paper cites Abnormal crowd behavior detec- tion using social force model,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Abnormal crowd behavior detec- tion using social force model,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.294388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.780329Z digest=sha256:ab56a2d27aea8c9f7084bedfbca5464c50054d45618f94f675a984b3c5be4e75

Observation 19d24cc7-aa02-4b0b-8498-067b1436dbab · outbound

This paper cites Everybody needs somebody: Modeling social and grouping behavior on a linear program- ming multiple people tracker,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Everybody needs somebody: Modeling social and grouping behavior on a linear program- ming multiple people tracker,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.284598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.783635Z digest=sha256:690add89c499fb45089b53d595c6cd43ccec205b5f73da7b1a4f409db9e0485c

Observation 9f8e77f9-ccd4-4ef5-b124-387b82637992 · outbound

This paper cites People tracking with human motion predictions from social forces,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights People tracking with human motion predictions from social forces,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.274069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.787306Z digest=sha256:3755174253e6d8111b13d2e35311cfe42ce9e64659830b09113439ef74caeb5c

Observation 33e9e777-8421-457f-b6b7-f66d30d598d4 · outbound

This paper cites Improving data association by joint modeling of pedestrian trajectories and groupings,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Improving data association by joint modeling of pedestrian trajectories and groupings,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.262965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.790850Z digest=sha256:44dafeea028941ff70d0065744463e82f37a99ed2c8906b0bbe9195da94fd0f9

Observation 23a9adc8-a9f3-4a3b-b7af-fd8e0e53abdc · outbound

This paper cites Social force model-based mcmc-ocsvm particle phd filter for multiple human tracking,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social force model-based mcmc-ocsvm particle phd filter for multiple human tracking,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.251188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.794590Z digest=sha256:08fbad5a001b190f92eb15bff47ab26e5564e80c5d50d1fa0f0e3930527dcc6f

Observation e5f1f257-c442-4473-8b4b-83352115e32e · outbound

This paper cites Discrete choice models of pedestrian walking behavior,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Discrete choice models of pedestrian walking behavior,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.239742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.798254Z digest=sha256:88113657e2d0a85da6f91013f209c5e955dbf713dc1f5c7cf112c94ad5d213d1

Observation 68bf62e6-597d-41e3-8199-18dc8040dc33 · outbound

This paper cites Gaussian process dynamical models for human motion,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Gaussian process dynamical models for human motion,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.228436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.802102Z digest=sha256:bfc4a082d4002a90cf6f371407b332b0748f27b0a338cc7145ad98f30ae38dbe

Observation cc8f849b-3e6b-46b4-8450-06c0ea623ce5 · outbound

This paper cites Modelling smooth paths using gaussian processes,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Modelling smooth paths using gaussian processes,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.217201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.805964Z digest=sha256:842870fbbae76414594c0077d29ba22a0ee0fc80ab4e5765229dfaf16de8d2bb

Observation 71afc966-920f-40c9-857c-b1b448b716dc · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Semi-supervised classification with graph convolutional networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.205013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.809519Z digest=sha256:6a25a5fdbe91f82ac42e3cdce4a3db31d2289d9dd4d3146affb6cdecfa2af1af

Observation 4ab16b54-7fab-44d3-a8ed-da2a64fdd955 · outbound

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

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Spatio-temporal graph transformer networks for pedestrian trajectory prediction,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.194617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.813676Z digest=sha256:088fb336a1ccb7c008d69cdfc7cf71da84737d1cfca44be441787faa5858016a

Observation 02951fa0-cbe9-4908-afab-f791a7cf1b3b · outbound

This paper cites Graph-based spatial transformer with memory replay for multi-future pedestrian trajectory prediction,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Graph-based spatial transformer with memory replay for multi-future pedestrian trajectory prediction,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.184595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.817107Z digest=sha256:218900b72c543d855b3477c74bcaff0e3ba4928ecfdb3fd13d6f9d0f558618a0

Observation 5fb7a81e-c8ba-461c-bad4-ef4a63000cbf · outbound

This paper cites Adversarial-example at- tacks toward android malware detection system,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Adversarial-example at- tacks toward android malware detection system,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.173714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.820345Z digest=sha256:8bf4ce10673019de954d0c06817669541ba209c9b9e728e3d02bbdb83158bc6c

Observation 03fd4fc8-5ff5-4178-aa7f-01bea3108964 · outbound

This paper cites Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:07.823731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:43:07.823731Z digest=sha256:2f16d2e63684fd9913f64030209a67899fa03678bbb90e48a80ba27f5fe4ad15

Observation fe15501a-ded6-4d39-905a-f3270be6930c · outbound

This paper cites Graph attention networks,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Graph attention networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.163187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.827755Z digest=sha256:6f6812b850ba0f3e3b882d41b6ee8b6bf4145b25dca52c948ab9effe9bf31746

Observation 7db217e4-d011-4f84-bc76-9f1909ad0bc9 · outbound

This paper cites Unified spatial-temporal neighbor attention network for dynamic traffic prediction,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Unified spatial-temporal neighbor attention network for dynamic traffic prediction,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.152462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.831107Z digest=sha256:fb6b5558b0f56ba955764c0b64613d9740fdce9272874eacef53b6b2f67219e8

Observation 180727ff-c6d8-4567-88f3-8e038d0c1594 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:07.834951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:43:07.834951Z digest=sha256:f81bef62ee45f4ce0265d651df3a4565a0b89e4695722ed8c22b9031d61de387

Observation dc0eaa68-9b9d-4aa5-8df1-56edef9bc4e3 · outbound

This paper cites Ace-gcn: A fast data-driven fpga accelerator for gcn embedding,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Ace-gcn: A fast data-driven fpga accelerator for gcn embedding,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.141183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.839812Z digest=sha256:d87c4cfad0ccf810ee7cbcb90ac988f7e45593a17a78d786baec87ad732f5a5a

Observation 84d5447b-631c-4e5b-90ab-7bce027013d6 · outbound

This paper cites Dragon: dynamic recurrent accelerator for graph online convolution,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Dragon: dynamic recurrent accelerator for graph online convolution,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.128701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.844427Z digest=sha256:e781156511617016aac4bee276deec4c2fbc169b40728b2099a519a8676e56d3

Observation e6851809-ee8a-4e2e-a410-9b84ef953ddf · outbound

This paper cites Generative adversarial nets,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Generative adversarial nets,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.116524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.848024Z digest=sha256:4dbd6e8f123e44401b29c63568a76e3a7f54c1a177a94c2077fc437c93f786e3

Observation f8a4c0d2-4370-4c81-946d-c9b86116358f · outbound

This paper cites Wasserstein generative adversarial networks,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Wasserstein generative adversarial networks,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.105737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.851686Z digest=sha256:db3bafe60184fe3858f9560a6b9f83c79b550de445ed6d2c7cf9fffde4389b43

Observation 7a958cb2-56f8-4595-bc04-5ba57b480d32 · outbound

This paper cites Are gans created equal? a large-scale study,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Are gans created equal? a large-scale study,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.094157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.855501Z digest=sha256:fa10e6e90fcec8a5ac9d9a21aafb22712882d114b75d7921c7c3dd67dca8d0ad

Observation 4ad1b820-dbe4-4336-a1f4-4c5e1dd120b9 · outbound

This paper cites Temporal pyramid network for pedestrian trajectory prediction with multi-supervision,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Temporal pyramid network for pedestrian trajectory prediction with multi-supervision,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.082633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.859776Z digest=sha256:03cfd37992cdb1f6e1606700e300d129af7d706708ebc77d1e07206efd3cf619

Observation 67a30ab8-cb41-4359-8ced-29b25cd2d94f · outbound

This paper cites Br- gan: A pedestrian trajectory prediction model combined with behavior recognition,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Br- gan: A pedestrian trajectory prediction model combined with behavior recognition,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.067857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.864097Z digest=sha256:881d164e827b43f78486f537855e8075fd707fe0cb22a67a298f78c8ad83d6ad

Observation 9471f5ce-5be0-4885-959b-27ee7df658d1 · outbound

This paper cites You’ll never walk alone: Modeling social behavior for multi-target tracking,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights You’ll never walk alone: Modeling social behavior for multi-target tracking,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.054995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.876836Z digest=sha256:0388f5de5c000d99dcd7b6f95b00f64c689ba67581427b28a472504b452e637e

Observation 72ffd643-473e-49c9-bf65-39da3f0f8564 · outbound

This paper cites Learning an image-based motion context for multiple people tracking,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Learning an image-based motion context for multiple people tracking,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.043064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.880608Z digest=sha256:85707d373dc2d610c1cb4b7c9669ae9de9307bd87d6ce6afbae326b5eb042e13

Observation 258baaa9-57a9-494c-8562-652a15f64799 · outbound

This paper cites Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social-implicit: Rethinking trajectory prediction evaluation and the effectiveness of implicit maximum likelihood estimation,

Reference 58

Resolution
verified exact
doi, observed 2026-08-10T20:43:08.029509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.884514Z digest=sha256:fc3e86679a0aa26e32496c9049eee66934304bc8e16673da43eae7d2f66d2bd8

Observation 71ff44c2-b27a-4c88-895e-a66fbf067f7d · outbound

This paper cites Gcn-gan: A non-linear temporal link prediction model for weighted dynamic networks,.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Gcn-gan: A non-linear temporal link prediction model for weighted dynamic networks,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:43:08.017012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:43:07.888299Z digest=sha256:937b77a7c2157bcd1c6e221ad23162f6ee939dc6564c0750dd6c012457fe0cb6

Observation 44eda831-9e43-4aa8-a2c1-07727ae48beb · outbound

This paper cites Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder.

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights Social-DualCVAE: Multimodal Trajectory Forecasting Based on Social Interactions Pattern Aware and Dual Conditional Variational Auto-Encoder

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T20:43:07.873017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:43:07.873017Z digest=sha256:a4d116f1f4f004b8a4f99858d9b6aaa52a36d540273b443d4e0d2f4cb426d5f0

Pith citing papers

No inbound Pith citation observations are available.