Paper Citation Record · LEDGER

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.13755.

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

pith.paper-citation-record.v1
2411.13755 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:16:46.824719Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

28 of 28 outbound references displayed

verified exact3
verified fuzzy17
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b3fec3b-6c1e-4e0a-a6e0-d1e4b278a37b · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Optuna: A next-generation hyperparameter optimization framework

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:46.715123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeedf9ef-31a0-465c-9551-542dbc797a56 · outbound

This paper cites Commonroad: Composable benchmarks for motion planning on roads.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Commonroad: Composable benchmarks for motion planning on roads

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.237155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5517cc13-bd4c-4e5c-b5b6-b52fff390483 · outbound

This paper cites Kernels for vector-valued functions: A review.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Kernels for vector-valued functions: A review

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:46.723894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1ad5bb0-e7e1-4dec-bde8-8b07ad3d88af · outbound

This paper cites an unresolved cited work.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:16:48.219827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7e0da50f-4163-494f-8faf-508821179da7 · outbound

This paper cites Autonomous vehicles on the edge: A survey on autonomous vehicle racing.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Autonomous vehicles on the edge: A survey on autonomous vehicle racing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.207904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9085036d-454f-4df8-96e0-57eca89add66 · outbound

This paper cites Experiment tracking with weights and biases, 2020.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Experiment tracking with weights and biases, 2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:46.735519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f040e8-b473-40ca-8aea-b325488d51fd · outbound

This paper cites Efficient implementation of randomized mpc for miniature race cars.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Efficient implementation of randomized mpc for miniature race cars

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.189416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d16a5a7b-1e61-4323-a2b1-41b18e179957 · outbound

This paper cites Deep dynamics: Vehicle dynamics modeling with a physics-constrained neural network for autonomous racing.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Deep dynamics: Vehicle dynamics modeling with a physics-constrained neural network for autonomous racing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.177568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 80bb327c-da45-4107-84b3-0d6c5c63a019 · outbound

This paper cites Modelling longitudinal vehicle dynamics with neural networks.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Modelling longitudinal vehicle dynamics with neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.168001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 228bdcf7-4832-482f-8fca-afd45bbfc621 · outbound

This paper cites Competitive Driving of Autonomous Vehicles.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Competitive Driving of Autonomous Vehicles

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:16:48.005321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0d6bfac6-af3d-45a0-babe-265bd5fd10de · outbound

This paper cites End-to-end neural network for vehicle dynamics modeling.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing End-to-end neural network for vehicle dynamics modeling

Reference 11

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-12T16:16:47.990183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e59caf7-6c56-4a7f-b26c-6769d4001bd1 · outbound

This paper cites Bayesrace: Learning to race autonomously using prior experience.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Bayesrace: Learning to race autonomously using prior experience

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.157204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d8e1f38e-c78d-462c-ace9-11e893499ec6 · outbound

This paper cites Learning-based model predictive control for autonomous racing.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Learning-based model predictive control for autonomous racing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.146161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b810ddb8-a541-46c8-94ad-7eced8aae195 · outbound

This paper cites Racecar-the dataset for high-speed autonomous racing.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Racecar-the dataset for high-speed autonomous racing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.135590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9c4ed46e-da7d-41af-b5ed-fcbd4e8d0849 · outbound

This paper cites Optimization-based autonomous racing of 1: 43 scale rc cars.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Optimization-based autonomous racing of 1: 43 scale rc cars

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.124396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 167b6454-fd91-40bb-bfed-d9c1e9fb405f · outbound

This paper cites Scalable deep kernel gaussian process for vehicle dynamics in autonomous racing.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Scalable deep kernel gaussian process for vehicle dynamics in autonomous racing

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.112642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a60cfc8-21b0-492b-aa20-e8b40d62594d · outbound

This paper cites Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:16:46.898260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 024a0d72-f492-4a50-be08-ebf40352720c · outbound

This paper cites Gaussian processes for vehicle dynamics learning in autonomous racing.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Gaussian processes for vehicle dynamics learning in autonomous racing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.098759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 56ff2926-9658-4b54-8fc2-807e8b9cb317 · outbound

This paper cites F1/10: An Open-Source Autonomous Cyber-Physical Platform.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing F1/10: An Open-Source Autonomous Cyber-Physical Platform

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:46.783855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0f122c-80ad-4627-bc10-6b3c94e5913c · outbound

This paper cites Tire and vehicle dynamics.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Tire and vehicle dynamics

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.088033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 09b2dd6a-de96-461f-841c-ae36e93bab18 · outbound

This paper cites Data-driven vehicle modeling of longitudinal dynamics based on a multibody model and deep neural networks.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Data-driven vehicle modeling of longitudinal dynamics based on a multibody model and deep neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.076063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2055444-9992-4f99-907f-2778a2294903 · outbound

This paper cites Motion planning and control for multi vehicle autonomous racing at high speeds.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Motion planning and control for multi vehicle autonomous racing at high speeds

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.064029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb561a2c-8147-4a46-92d8-6d3c575fc283 · outbound

This paper cites Gaussian processes in machine learning.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Gaussian processes in machine learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:46.802838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82269007-a693-4b68-a610-d984c30dc5a2 · outbound

This paper cites Online constrained model-based reinforcement learning.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Online constrained model-based reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.046687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a0310679-0855-4f9a-859e-34fbea40016f · outbound

This paper cites Graphical models, exponential families, and variational inference.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Graphical models, exponential families, and variational inference

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:46.812057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c5d41cf-c955-43ec-bf29-6269e5a31774 · outbound

This paper cites DeepRacing: Parameterized Trajectories for Autonomous Racing.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing DeepRacing: Parameterized Trajectories for Autonomous Racing

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T16:16:46.816868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e95aff74-956c-4cbe-ad54-ed3ee0d97710 · outbound

This paper cites Deep kernel learning.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Deep kernel learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.028940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2b9a8498-fe07-4524-9bfd-25d594078ee5 · outbound

This paper cites Indy autonomous challenge-autonomous race cars at the handling limits.

DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Indy autonomous challenge-autonomous race cars at the handling limits

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:16:48.017457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.