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Paper Citation Record · LEDGER

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections

As of 8 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2506.08957.

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

pith.paper-citation-record.v1
2506.08957 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:00.180030Z

measured 23 of 23 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.

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

23 of 23 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 298878e9-2362-4bbc-884d-c0277c3e6e66 · outbound

This paper cites In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.045973Z digest=sha256:425948e26b2fbe57e3462ee8175970126f7c19e1d41a282fccddb5d903736ef2

Observation 117941f9-89a9-4058-ad88-cb28e44ef469 · outbound

This paper cites Workingpaper, Aston University (1994).

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Workingpaper, Aston University (1994)

Reference 2

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:02:59.133346Z digest=sha256:a00bbf24c0e962805427eee9d026fd8d853263d12bbdcfa54e6d8cd830974d50

Observation 82736b0e-b387-4213-8159-7bdf98411532 · outbound

This paper cites an unresolved cited work.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Unresolved cited work

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.

source=pdf_text observed=2026-08-07T05:02:59.190942Z digest=sha256:7a4cc595487bcbc90c02c9d0fc2da5a4eb6767bc3bf522bbdd8fb55e1be758fa

Observation 706e5e72-12fb-4361-a288-2d516300d284 · outbound

This paper cites an unresolved cited work.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Unresolved cited work

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.261192Z digest=sha256:04eac369b0031c424efeca935dfc1aeddd40fb31ace5853176be8c134fffca44

Observation d06022a0-cccb-4a3d-9a82-0027104a68a6 · outbound

This paper cites VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.352013Z digest=sha256:e825ad925946ff90facab4a2bd3b9530b678f8224eca42caba2b1ac28cb72558

Observation ee8743ce-476f-49e6-84bb-33c0923f27f0 · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Generating Sequences With Recurrent Neural Networks

Reference 6

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no resolver link, observed 2026-08-07T05:02:59.411650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.411650Z digest=sha256:5eb3f8b33b235f35a6b5fb1eea15c1928a9ad54493f9bf2394fa4a1432340bba

Observation f05ee304-bf90-4b3c-b18f-bd219394c215 · outbound

This paper cites DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:03:01.065599Z

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=2026-08-07T05:02:59.532247Z digest=sha256:e218cc19f96fd2fbb7e5543460c0e9a317b8250f2896113f2e195a0219956c9a

Observation fae6672d-93d0-4b08-b058-35a2da220cff · outbound

This paper cites The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.562062Z digest=sha256:bebceaf586ed7a6b72e6d3f3c9bb8c87d6974a6fd672e8da3bde1f7d567e6e47

Observation 85dddfd2-320a-4c27-afe4-2ab48e8f4ea4 · outbound

This paper cites Auto-Encoding Variational Bayes.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Auto-Encoding Variational Bayes

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.630512Z digest=sha256:79f5afcfad6b64f6230635706bff7b5773aefb7485caf479928000917ab268c8

Observation c6a69923-752c-4c18-924d-9b20f1a0dbbf · outbound

This paper cites an unresolved cited work.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Unresolved cited work

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.

source=pdf_text observed=2026-08-07T05:02:59.674033Z digest=sha256:9dfab81d47861adbf8f5bd096dfe500dc2a1b182e91b74e8d405bc65562d1ca4

Observation b51c35fb-aae4-453a-a35a-7701e789d60a · outbound

This paper cites IEEE Robotics and Automation Letters 6(1), 80–87 (2021).

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections IEEE Robotics and Automation Letters 6(1), 80–87 (2021)

Reference 11

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metadata mismatch
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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=2026-08-07T05:02:59.691393Z digest=sha256:ccee3f17312f8ed98f676c7cb99f101c8153a8d30729a6cf554d63f8999ead37

Observation ba5e35e4-986b-4552-88af-0090beddb146 · outbound

This paper cites In: The 21st IEEE Interna- tional Conference on Intelligent Transportation Systems.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections In: The 21st IEEE Interna- tional Conference on Intelligent Transportation Systems

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:03:01.365046Z

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=2026-08-07T05:02:59.731553Z digest=sha256:f5e60610eec3f78f3154583d5304fa8bbb22afa665f193685c72709597277fe4

Observation 12c2dfca-2084-4159-a7dd-99e6bd0b79a5 · outbound

This paper cites An Introduction to Convolutional Neural Networks.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections An Introduction to Convolutional Neural Networks

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.774719Z digest=sha256:1ae6589f5ae63316d42b49f0f3273dc73be7eb4172924f3d7176cec917c7972b

Observation 2468ff0e-7876-478d-b517-5ebe5c8920c7 · outbound

This paper cites an unresolved cited work.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Unresolved cited work

Reference 14

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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=2026-08-07T05:02:59.810682Z digest=sha256:f97b128f3e28b8340a17cee26e58fb88b2fd73cb017579d82c440ae217f60a2a

Observation b0a5b3f4-9121-433e-bd55-226562c760fe · outbound

This paper cites Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.845558Z digest=sha256:406dd092df92a06fbc5a95a57308c460a5378810d2c17c9b90e2c64a5cb79bad

Observation 7fae0de0-e9cd-4a47-b518-7d61ba3d6e40 · outbound

This paper cites In: Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections In: Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS

Reference 16

Resolution
verified exact
doi, observed 2026-08-07T05:03:00.289693Z

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=2026-08-07T05:02:59.888295Z digest=sha256:1f0ffa1630c2577df9b6a1bbdb7bdb86214d3d0e1fc89f15c58e4bbe32df0279

Observation 813b72a2-4cba-4e61-a8b1-fe3d3c8e3e1b · outbound

This paper cites Motion Transformer with Global Intention Localization and Local Movement Refinement.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Motion Transformer with Global Intention Localization and Local Movement Refinement

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.926737Z digest=sha256:bcb31006b85ddb0d825bfb8170cdda946f6bb6d33b223066c387151b4e585b64

Observation 1f478ed7-8796-4e3d-bead-31286f3c2d4e · outbound

This paper cites Attention Is All You Need.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Attention Is All You Need

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.963417Z digest=sha256:d67cea96e4b637ef56b9fc19c436cd8b403962bdbf135444f1dc2571bf240833

Observation 50e5fbb8-4779-47bb-8726-04a4174bdd30 · outbound

This paper cites Deep Gaussian Mixture Models.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Deep Gaussian Mixture Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:00.011127Z digest=sha256:c72e94e3f4c265b843d6fa21df85af9b2914d39c388589e6e5d65e6f0ab2a5f4

Observation bab4972c-8f0f-4870-8801-c2ce1a4d8076 · outbound

This paper cites IEEE Transactions on Industrial Electronics 65(7), 5999–6008 (2018).

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections IEEE Transactions on Industrial Electronics 65(7), 5999–6008 (2018)

Reference 20

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metadata mismatch
raw_fallback, observed 2026-08-07T05:03:00.591343Z

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=2026-08-07T05:03:00.049195Z digest=sha256:63fb888d72f07315ee71f85a1ea5afcc0d28fd291d17556247cb34c9b5fe9cc5

Observation b6cc4179-585d-4dad-ab31-502bfa731085 · outbound

This paper cites In: 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections In: 2018 21st International Conference on Intelligent Transportation Systems (ITSC)

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:00.091231Z digest=sha256:fb09a073fddf33c5b9b06c2feabdbbb928f366d6652c20f8392562a3b19b162a

Observation d8f7bd27-653c-49df-8136-4fb92c940b0e · outbound

This paper cites TNT: Target-driveN Trajectory Prediction.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections TNT: Target-driveN Trajectory Prediction

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:00.129822Z digest=sha256:d6c73b4ef79b753b5d0ff0bd90cfea9bd95810c18a5c9e500d5a431ae3060785

Observation 7ab0e8c8-080b-435a-a3be-1bca5f618a38 · outbound

This paper cites InfoVAE: Information Maximizing Variational Autoencoders.

IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections InfoVAE: Information Maximizing Variational Autoencoders

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:03:00.180030Z digest=sha256:53dd169bacf3fef22cab9dfa6192579bdc99fb64e657404f74b1a88be4d05fe2

Pith citing papers

No inbound Pith citation observations are available.