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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:050e927dca3723384fbe734b0b92b08dea6fb645f3c01e7041cf2918bf2e6916

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:02:59.133346Z digest=sha256:d6d6a03eb8195747c653aaa52121b237e3fefd55863e91966a1f523f49cea9f9

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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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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=sha256:47f46f2010f81d905c42262d1438e827c1086de8521cffdb039f4b593d523c38

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:fc2d037a3cfda976d810f97b1e2441098b85b1d23d763f88c9d814c72e53a8a4

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=sha256:907a5bd183209b300b7c558773d7dd84993609c5adfb1457dd29aaaa25942189

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:02:59.532247Z digest=sha256:4c804c1dbc1711d0bcff0d5d886dd27ab93a798c32668f01fcf5a29b3903ee40

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:f28ed8231b1ed9651629aea2386cf96714448897b78edf797eae90aa8102928e

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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no resolver link, observed 2026-08-07T05:02:59.630512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.630512Z digest=sha256:486b6394f58aeb4f15f9b05447131538452890a9d54f01047017e0ab582ebd0a

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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unresolved
raw_fallback, observed 2026-08-07T05:03:01.641820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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
raw_fallback, observed 2026-08-07T05:03:00.837287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:02:59.691393Z digest=sha256:45c63c40c76a28c8eda167d44997cd041e8af37df7759d1e382f4f2b1efc4ba4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:02:59.731553Z digest=sha256:56d537c414da64377a2835acde8ce0d9b15fc6cde1298fb700f22a0cf105b0e4

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=sha256:8920f1cb595fdc12efeb5dbeb10490bfdadb4d683d79e5737e72549ab98b921e

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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unresolved
raw_fallback, observed 2026-08-07T05:03:01.234552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:02:59.810682Z digest=sha256:a6093014fbdda9167fd86ec6795e90b0d99a710fe6dee401a0364cad55a84b6d

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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unresolved
no resolver link, observed 2026-08-07T05:02:59.845558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:02:59.845558Z digest=sha256:6d0b4797b47274f062f1ea94449d12127de64b6365e80b5f2081c469d56ad9c4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:02:59.888295Z digest=sha256:12b82021281a7943a20b1e14aedd2c817654a089ba92a3652fcd9e5a33faebc8

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:b658c1d610d874bb42fae6c7aaf4d881c42fb871a8fb97daf477943e208a5816

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=sha256:94b55d43dae23356373f9c6fbfd82ca3b8e71dde31a833edbe7436062ba0ee1d

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=sha256:2ae461252582f660366a3e6484b63a6974e858605996bc59c5f02e132c2a8496

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:03:00.049195Z digest=sha256:a1b618a67270429a4024f637e68e12e40434f809b6d5e7145ad41bf33ffaf14d

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=sha256:82251cb210488ed5dc35ef49cd86a88469f7843d4242aaa7e91c7a3ddc5d382d

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=sha256:12788607457075d4ce03c9bbe5a34c1c939d050299dc149ca10856d239833d49

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=sha256:2a1307dc95380765fb5cec1ae74f41813ac958dadeedca7da2e2bafc162d38fe

Pith citing papers

No inbound Pith citation observations are available.