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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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

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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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Source-reported events for the cited work

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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

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 2026-08-18T06:34:40.430872+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

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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

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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

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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 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.416002Z digest=sha256:4a27e1b6c7d018e48872ab387e17368bac71cd92f82eaf99c9e43ad6dfb4ac91

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.423316Z digest=sha256:6384fc24657c0df5533cd40c8c45ca079dae3ba6de463dfc5eb7292d26fbfd0b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.428347Z digest=sha256:1ed4c7a7f09fa095a3121f4fecb8d5c65a3b35ed8fb552512ea0fbc90849ab14

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.433204Z digest=sha256:34c7a5e84073ca8a2779fe4d3578a6cd7a72c70bb45304b63d2e0b7cd5aa1b53

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.437750Z digest=sha256:aeec348d58af185808048ef03534f09fa211c00eaf9da7e1b2052e5cc0b9c316

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.442297Z digest=sha256:866ac9b578f85ad53983052e11e40b2ff2273d08478be663bf01e1b92e24dcee

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.446846Z digest=sha256:b01edb906c35ebfc104837151f245ff4e6ce3cf4522931f9e624340c955b2361

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.451155Z digest=sha256:582fcb8688a08695336fe56c52df2992b2db67301739085b670340689cad164f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.456172Z digest=sha256:27c0f87bfc4ce3ac79120a539992c568eda3ed8b670e43d2061b078fc3c621c6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.460929Z digest=sha256:20690c51f0c9f4cbbfed201c228766d4f49d60d01ae22372a37bb144866da4ec

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.465585Z digest=sha256:cb0eb9b63998a5d27d5ba06ebdcb18e944857361ce2d60b9b0150afeb0f8470b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.470691Z digest=sha256:463ec80100feec96c2e2027064d7caae5c34dda4dab52cc204b7966ab9609518

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.475553Z digest=sha256:7f53227725c729e7025b48f3d458cfe16552fe553202fd7fdca9e715a47a80a0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.480093Z digest=sha256:d64091cb63220819bfef0ecc9bd5903072b5dcd1e3887e1e1d7801f4530eb58e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.489096Z digest=sha256:6a39a68e7e605285b0628d34b33446519f60dcc7add4a2c7093a9e6c6c19ec32

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.498502Z digest=sha256:558f98968d0db5176197da915bc57aa6119f2d5b1c18532970a56c741810f186

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.503332Z digest=sha256:cb5a7a3f10f5aa397aa5cc0609d85b552235932838ba716c908b10127f09beba

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.508408Z digest=sha256:bd856576ed74da8fcb493d071efa144788556ca8a1cde28aa8b57a7f6c45ec0a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.513054Z digest=sha256:83f8d8027e51f28ed4746694948a187d13a6b81d2b5b8a66f48db03274b38216

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.523109Z digest=sha256:0152e89e5baaa02c4a8ef0331dd52d925412fe4a317aef0a650a3bb7fd99904a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.528050Z digest=sha256:9ad6d08517d5066cb7dca8c90e29e6247752a34716a34980196336fd8f35fb64

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.537903Z digest=sha256:532269f063565aa830e1d458e3d58621049ce8f2f1257259cf3ed0f00e92e55a

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.542502Z digest=sha256:9eb7c14d861779639fc03ee0fb30471819c8b99e67b1ea39a594b02f2e5d8b27

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.547432Z digest=sha256:b1868c1ea818489725570a0ef08edc19e59360b91e3d188e39c0713597369503

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T10:22:19.552079Z digest=sha256:23643dfaffeac39854cf747e6132a29ae29555fd42fc70c1fb741af4c36a4eda

Pith citing papers

No inbound Pith citation observations are available.