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Paper Citation Record · LEDGER

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2504.18421.

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

pith.paper-citation-record.v1
2504.18421 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:19.552079Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

61 of 61 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4da097c-c73c-49c5-a76f-0209bb5f56bb · outbound

This paper cites BEVFormer: Learning Bird’s-Eye-View Representation from Multi- camera Images via Spatiotemporal Transformers,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning BEVFormer: Learning Bird’s-Eye-View Representation from Multi- camera Images via Spatiotemporal Transformers,

Reference 1

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Observation 52053cbb-32fa-4165-9ff4-5f2945e7c9ff · outbound

This paper cites End-to-End Object Detection with Transformers,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning End-to-End Object Detection with Transformers,

Reference 2

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Source-reported events for the cited work

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Observation e084dc09-f8ff-4122-bd7d-510ff9c04a23 · outbound

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

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Motion Transformer with Global Intention Localization and Local Movement Refinement,

Reference 3

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Observation ade1fd24-032e-4ec6-b2b4-b17940c55954 · outbound

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

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Motionlm: Multi-agent motion forecasting as language modeling,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c6867d85-6817-4dd6-9e46-ac0b50717e1f · outbound

This paper cites Domain adap- tation under target and conditional shift,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Domain adap- tation under target and conditional shift,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2a519af6-e429-4615-9cea-5b56a8de3597 · outbound

This paper cites Domain Generalization: A Survey,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Domain Generalization: A Survey,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 927477d7-de0a-4e39-9d55-947c6af420a1 · outbound

This paper cites Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Building a Credible Case for Safety: Waymo's Approach for the Determination of Absence of Unreasonable Risk

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a61b797a-6afc-48a9-8cf5-d6d212996081 · outbound

This paper cites Expanding the Classical V-Model for the Development of Complex Systems Incorporating AI,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Expanding the Classical V-Model for the Development of Complex Systems Incorporating AI,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f642a981-9523-4828-9fa9-89c107f3a456 · outbound

This paper cites Conditional neural processes,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Conditional neural processes,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e6b88a44-a20e-40a2-b5a9-02900a2c5f7b · outbound

This paper cites Robust meta-learning of vehicle yaw rate dynamics via conditional neural processes,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Robust meta-learning of vehicle yaw rate dynamics via conditional neural processes,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5f9cd9f0-3783-4b5d-9d89-f0b413505886 · outbound

This paper cites Toward causal representation learning,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Toward causal representation learning,

Reference 11

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Unavailable: canonical work link unavailable.

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Observation 1eea77cf-0a84-4850-83f7-f354eff518a2 · outbound

This paper cites AI Safety Assurance for Intelligent Vehicles: A Survey on Research, Standard- ization, Regulation,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning AI Safety Assurance for Intelligent Vehicles: A Survey on Research, Standard- ization, Regulation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ec442549-d639-46e8-a178-ad9ea3ed7530 · outbound

This paper cites A survey of deep learning techniques for autonomous driving,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning A survey of deep learning techniques for autonomous driving,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 28e89dcd-f7e0-416d-b056-1912b9a26a43 · outbound

This paper cites End-to-end Autonomous Driving: Challenges and Frontiers.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning End-to-end Autonomous Driving: Challenges and Frontiers

Reference 14

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Unavailable: canonical work link unavailable.

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Observation 82de95d9-b785-408b-b15c-1132d7563612 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 15

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Observation 160050c0-bbdf-4388-86b4-9d8aba7ed784 · outbound

This paper cites Energy-based out-of- distribution detection,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Energy-based out-of- distribution detection,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9b97fa3f-9794-4ed2-ab81-b26fcd2576f9 · outbound

This paper cites Benchmark- ing safety monitors for image classifiers with machine learning,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Benchmark- ing safety monitors for image classifiers with machine learning,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4e62f2fc-679e-410b-928c-22c69a868dcb · outbound

This paper cites Unifying Evaluation of Machine Learning Safety Monitors,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Unifying Evaluation of Machine Learning Safety Monitors,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 27e3decd-986f-4dd5-a672-37ee7a332ef7 · outbound

This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Reference 19

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Source-reported events for the cited work

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Observation b3402d2f-4f85-4f10-8801-13dd05a0b6d5 · outbound

This paper cites Corrigendum to the European Parliament’s position on the Artificial Intelligence Act (P9_TA(2024)0138),.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Corrigendum to the European Parliament’s position on the Artificial Intelligence Act (P9_TA(2024)0138),

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5ac0725c-7b9f-4198-908f-75217f0be209 · outbound

This paper cites Occupancy Flow Fields for Motion Forecasting in Autonomous Driving,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Occupancy Flow Fields for Motion Forecasting in Autonomous Driving,

Reference 21

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6ab77100-9fe1-49da-9728-22087ddc420f · outbound

This paper cites Scene as Occupancy,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Scene as Occupancy,

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f409a3ff-e743-4b17-8244-ba18442414c9 · outbound

This paper cites Multi-Modal Interaction-Aware Motion Prediction at Unsignalized Intersections,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Multi-Modal Interaction-Aware Motion Prediction at Unsignalized Intersections,

Reference 23

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 72121446-f3a4-465b-b359-d02f92cf0e39 · outbound

This paper cites MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying,

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation eeae8dd1-ef1d-404b-87af-fad1f6270af4 · outbound

This paper cites MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7c127ace-0cfe-45ca-a547-91df497dffb1 · outbound

This paper cites Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset,

Reference 26

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1a694138-135f-4eb1-918c-3d5e2d9c5cbc · outbound

This paper cites Transformer with Group-wise Modal Assignments for Motion Prediction,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Transformer with Group-wise Modal Assignments for Motion Prediction,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 61a459d5-e357-4eec-9a0b-b87c55507837 · outbound

This paper cites IAIR+: 2nd Place Solution for 2023 Waymo Open Dataset Challenge - Motion Prediction,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning IAIR+: 2nd Place Solution for 2023 Waymo Open Dataset Challenge - Motion Prediction,

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7e93e6bd-77e3-481a-8c6a-98ab090aeb05 · outbound

This paper cites EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ba7422e4-7b25-4a4a-ae10-a3778d595bf0 · outbound

This paper cites MTR v3: 1st Place Solution for 2024 Waymo Open Dataset Challenge - Motion Prediction,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning MTR v3: 1st Place Solution for 2024 Waymo Open Dataset Challenge - Motion Prediction,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 69d57a9c-b3a3-482f-8a9f-834caafe6ca4 · outbound

This paper cites VectorNet: Encoding HD Maps and Agent Dynamics From Vector- ized Representation,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning VectorNet: Encoding HD Maps and Agent Dynamics From Vector- ized Representation,

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 679687f5-279c-4709-9825-c83f7cf09dd9 · outbound

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

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Tnt: Target-driven trajectory prediction,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c20db757-35a2-41c3-b7e0-76e6cba1d629 · outbound

This paper cites Attention is All you Need,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Attention is All you Need,

Reference 33

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raw_fallback, observed 2026-08-16T10:22:20.274831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.416002Z digest=sha256:4cb1c7b040825c725259c1c61e4c3941d5554f6f0a9e82d0a9e52002bab51667

Observation 425c01f6-dc0f-431a-922b-c60fd7e9aa07 · outbound

This paper cites Transfer Learning Study of Motion Transformer-based Trajectory Predictions,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Transfer Learning Study of Motion Transformer-based Trajectory Predictions,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.252332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.423316Z digest=sha256:5d782436235a1ca527fc89199a76b021926dc9fe140bd6f8ee4d04677736f7c2

Observation 5a30657e-2db3-431e-8524-846f7c0c1426 · outbound

This paper cites A Review of Deep Learning-Based Vehicle Motion Prediction for Autonomous Driving,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning A Review of Deep Learning-Based Vehicle Motion Prediction for Autonomous Driving,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.236273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.428347Z digest=sha256:130da90b77410fb13050ca60b57e3918c96e597c1e969676b51cb8a6c27284d3

Observation 001eaa07-1806-436f-86c5-fcba911a4b4a · outbound

This paper cites Deep Learning-based Motion Prediction Leveraging Autonomous Driving Datasets: State-of-the- Art,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Deep Learning-based Motion Prediction Leveraging Autonomous Driving Datasets: State-of-the- Art,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.218747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.433204Z digest=sha256:3d3246613696429617e7629b50b66c3580f0f7687a90da547b0269088c368042

Observation 2d60338b-d4f0-4702-93de-9dc53121a8fa · outbound

This paper cites Intro- duction to model predictive control,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Intro- duction to model predictive control,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.201289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.437750Z digest=sha256:22c65c4827ad5eccd2db73bfabe396151bbb7d52ab5331ae0d4185be5e6f999a

Observation bec67479-6fce-4291-8576-92cada58d886 · outbound

This paper cites Simultaneous Trajectory Planning and Tracking Using an MPC Method for Cyber- Physical Systems: A Case Study of Obstacle Avoidance for an Intelligent Vehicle,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Simultaneous Trajectory Planning and Tracking Using an MPC Method for Cyber- Physical Systems: A Case Study of Obstacle Avoidance for an Intelligent Vehicle,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.181774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.442297Z digest=sha256:d6c604854298e10b77a1c3c1ca118c921a5c877c0498105429d7cd8a892b54de

Observation c782900d-2847-4e10-bd37-b88e29586ae3 · outbound

This paper cites MPC- Based Cooperative Control Strategy of Path Planning and Trajectory Tracking for Intelligent Vehicles,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning MPC- Based Cooperative Control Strategy of Path Planning and Trajectory Tracking for Intelligent Vehicles,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.164828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.446846Z digest=sha256:150ff5b1830507b401fbf1f29a9614a9cc37cabd0e95dd477551e1d5749e2342

Observation c72177b8-6dc9-4ea9-8bf4-c8ae96604aaf · outbound

This paper cites Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Trajectory Planning for Autonomous High-Speed Overtaking in Structured Environments Using Robust MPC,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.147774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.451155Z digest=sha256:80111d22470883ee3214ad4451cff4e6db872c7d7572aeab476b6ef2b7baf658

Observation 141569c2-c7d1-46aa-9a75-531444657b7c · outbound

This paper cites Sampling-based algorithms for optimal motion planning using closed-loop prediction,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Sampling-based algorithms for optimal motion planning using closed-loop prediction,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.131263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.456172Z digest=sha256:969fc70243645bb2a7f720c35f07cb0faf54bd5d958ed610c2dec05789113009

Observation 3adbb070-c448-482a-aefe-9100e61e1be4 · outbound

This paper cites Aggressive driving with model predictive path integral control,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Aggressive driving with model predictive path integral control,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.114292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.460929Z digest=sha256:87409c1137b675271735381c332601bdb9aef274e0168e21d63d9a9c949d8eb5

Observation 0023655a-822e-4514-88cd-7aa5f29ca008 · outbound

This paper cites Sampling- Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race Tracks,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Sampling- Based Motion Planning with Online Racing Line Generation for Autonomous Driving on Three-Dimensional Race Tracks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.094683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.465585Z digest=sha256:203b68fd7743a4da9e5f2963389ceb309b565c5a5ba25e23e09e1cf156ea3314

Observation 74db04d1-a74e-4cf4-b3f6-bb74656ff0fb · outbound

This paper cites Model predictive path integral control: From theory to parallel computation,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Model predictive path integral control: From theory to parallel computation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.073064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.470691Z digest=sha256:3cf4a04a51939851ee9ddcf066d24ad732fbb3e201f9c38ed8dc72e108048bdc

Observation 94fd194c-3bbf-4a04-8fea-d51c3bd44074 · outbound

This paper cites Information-Theoretic Model Predictive Control: Theory and Appli- cations to Autonomous Driving,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Information-Theoretic Model Predictive Control: Theory and Appli- cations to Autonomous Driving,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.051873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.475553Z digest=sha256:d43db58fcc60e0f38143091feb8da9c13f6c2e6a9aceba7773d71d2e0f91fbae

Observation c975c159-3180-4fca-a4a0-4b6f164522f9 · outbound

This paper cites CommonRoad: Compos- able benchmarks for motion planning on roads,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning CommonRoad: Compos- able benchmarks for motion planning on roads,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.028533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.480093Z digest=sha256:7aa62179748fea7c2b60183a3bb116f8016814d5422402249bb99fc29b13910b

Observation 52af7ee5-b50d-4ec1-97d1-3186fe8bc08b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Adam: A Method for Stochastic Optimization

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T10:22:19.484685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:22:19.484685Z digest=sha256:9b3fdb0febe1c10491adff433cbad3c364225f7083e2db180ba8b442c63e4457

Observation 00df8c81-0556-4f73-a214-3397e5e3517c · outbound

This paper cites Parting with Misconceptions about Learning-based Vehicle Motion Planning,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Parting with Misconceptions about Learning-based Vehicle Motion Planning,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:20.007558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.489096Z digest=sha256:fcf9227aedb964de828755c20af8bc56d556e4a19537d929a7bbab182c5ecb25

Observation a4531247-38d5-48da-8e8f-56067fbec038 · outbound

This paper cites NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T10:22:19.493603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:22:19.493603Z digest=sha256:3202135d8c2bf6dfb2cd2d7a75ba020d79c698764f77f79bdf148286616f41d7

Observation bee8da52-ba0d-4c73-ada9-c47e44882269 · outbound

This paper cites AUTOtech.agil: Architecture and Technologies for Orchestrating Au- tomotive Agility,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning AUTOtech.agil: Architecture and Technologies for Orchestrating Au- tomotive Agility,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.983875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.498502Z digest=sha256:86f5f23373fbf35d834e884f3211ea7c2644bc83cfb432ffda9f3f33bd35ef1f

Observation 4d4ebfe6-0776-4774-acdc-9f3a96558383 · outbound

This paper cites Jøsang, Subjective Logic.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Jøsang, Subjective Logic

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.963063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.503332Z digest=sha256:388df98dcf1a19aa8c5577528edfd52dfa706ad800fdf6265b06029e4c10940d

Observation 6675017b-213e-4d08-a431-622532118efe · outbound

This paper cites A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV’s Safety,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV’s Safety,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.943804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.508408Z digest=sha256:cbfc84a716cd999e81b854e17875b7d298e65bfefa24fd5bb547ba4257788db3

Observation 8f0f759b-904a-4149-a479-0b60d3bc7d72 · outbound

This paper cites Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Kalman Filter Meets Subjective Logic: A Self-Assessing Kalman Filter Using Subjective Logic,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.924265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.513054Z digest=sha256:09904fc2ad0b05029dc15fa704339fbcf74b7c204fbb764762c935cbdf790167

Observation 1f49695f-7402-406e-bc95-d4b5e81de799 · outbound

This paper cites Input Validation for Neural Networks via Runtime Local Robustness Verification.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Input Validation for Neural Networks via Runtime Local Robustness Verification

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T10:22:19.517957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:22:19.517957Z digest=sha256:df3c3139e03391aaac09654fe807ebddc5b5ffcc49618e3f8773db95e25783e8

Observation f971bc55-c5f9-451f-a15e-e296c0cf4358 · outbound

This paper cites Adversarially learned one-class classifier for novelty detection,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Adversarially learned one-class classifier for novelty detection,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.898899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.523109Z digest=sha256:82f62da55e816eda0e29f22aa0c63b7fa1db30941fa8273ee07efdd9a896a4d3

Observation ea50f2bd-8649-4ed1-872b-6baf244a0ba5 · outbound

This paper cites Runtime monitoring neuron activation patterns,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Runtime monitoring neuron activation patterns,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.873536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.528050Z digest=sha256:02ca6b8d1dd0729af85359818d5fa640ec0fe9147ae97dba6a7d4907d8c8e601

Observation f7610d3e-2f8a-4436-aa87-efc85ae5ee5a · outbound

This paper cites Outside the Box: Abstraction-Based Monitoring of Neural Networks.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Outside the Box: Abstraction-Based Monitoring of Neural Networks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T10:22:19.533063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:22:19.533063Z digest=sha256:a8f883d86d88378ad51eb1a07063815c3dcd7bd66907f010e2ef37b488f88016

Observation 39c60411-c1c0-4942-8900-15e8684bcef6 · outbound

This paper cites Safe and Trustful AI for Closed-Loop Control Systems,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Safe and Trustful AI for Closed-Loop Control Systems,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.854141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.537903Z digest=sha256:56e5123005b4366915e06165732408aa82ffa3e4e578ee5009506eb4a8cb4814

Observation cdc5d47e-e4de-4551-b628-1f6263ae56aa · outbound

This paper cites Moving Horizon State Estimation of Discrete Time Systems,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Moving Horizon State Estimation of Discrete Time Systems,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.836860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.542502Z digest=sha256:d62325f1e45df69bd87c415cb3add524e6fcfc702e2a8b2efb844ac7b1dfca93

Observation 250bfd19-3e01-410c-b4eb-e583f72ab81c · outbound

This paper cites Moving Horizon Estimation,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Moving Horizon Estimation,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.816975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.547432Z digest=sha256:fff3294a9694aca436b5337ec310b1adc12d0ff5015555989867dcc215fc7917

Observation dc61969e-6703-4521-b612-63e83ad5d5db · outbound

This paper cites Unfreezing the robot: Navigation in dense, interacting crowds,.

Enhancing System Self-Awareness and Trust of AI: A Case Study in Trajectory Prediction and Planning Unfreezing the robot: Navigation in dense, interacting crowds,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:22:19.800337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:22:19.552079Z digest=sha256:0a88a2236ca10d6405a2c1d317c67644f022b6f707ea8f9d463fbd11c690e135

Pith citing papers

No inbound Pith citation observations are available.