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Paper Citation Record · LEDGER

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation

As of 6 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 1 inbound Pith citation observation for arXiv:2605.08489.

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

pith.paper-citation-record.v1
2605.08489 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:09:35.054891Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T04:43:15.692491Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-02T11:06:52.921770Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8ff2bb2-b9a7-468f-aeb9-8113066fbf6b · outbound

This paper cites Autonomous robot racing competitions: Truly multivehicle autonomous racing competitions.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Autonomous robot racing competitions: Truly multivehicle autonomous racing competitions

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.231954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:08a2f845a385a134a7ef041c9b8f7057b5ac8c7f41eb243e4f14655af560cecd

Observation f8e68d50-d5cf-4df1-b107-b975f85dc3dc · outbound

This paper cites Hierarchical control for head-to-head autonomous racing.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Hierarchical control for head-to-head autonomous racing

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.240875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:70d3e48ea3a0d00e380811b7e2c086a1f79f5bc6a3d76119500bff516eaad2ed

Observation 5f605b0f-39eb-475d-a1fe-cf209b67c42f · outbound

This paper cites Autonomous driving small-scale cars: A survey of recent development.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Autonomous driving small-scale cars: A survey of recent development

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.223438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:454acea3cdd73adde317ba0ced7844f5afcdd9e32785a98c6d60bb7f7d0e650d

Observation 9601ffda-d9c7-4ccd-9050-cc0e1317c94e · outbound

This paper cites Literature review and fundamental approaches for vehicle and tire state estimation.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Literature review and fundamental approaches for vehicle and tire state estimation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.312982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:7919a874f428e1f50624a81340e2366519c9e1570f1cded1aeef114df2ac9600

Observation abd7144f-50ea-4ed5-bbf1-5994ec15e33f · outbound

This paper cites an unresolved cited work.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-12T23:51:59.304392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:0b881b323f8e3ba3c6a2db1bfb5a8b72009ffc06bc1f8424b5567e19c79d839b

Observation 1cbf9a21-72e1-4e8e-9825-12e15845dad7 · outbound

This paper cites Neural network vehicle models for high- performance automated driving.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Neural network vehicle models for high- performance automated driving

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.308707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:9065fdb93594a0c135288f32db6d4f2e018c815dad1221e2a82b328f0bd0b3a1

Observation 4bec5985-4423-453f-a02e-e4a0be53307b · outbound

This paper cites Model- and acceleration-based pursuit controller for high-performance autonomous racing.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Model- and acceleration-based pursuit controller for high-performance autonomous racing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.218846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:84594bb9c05e5e010223d5bb19a955769d11d57dd5464de8723b30050085aec4

Observation 807ef012-4fe3-44d7-862a-5c678a2478ac · outbound

This paper cites Physics embedded neural network vehicle model and applications in risk-aware autonomous driving using latent features.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Physics embedded neural network vehicle model and applications in risk-aware autonomous driving using latent features

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.227629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:3093a7bb417b524b84512575bbc4a595313c8ba9769c8814317214093a9b2b48

Observation 37387ea1-6b34-4491-a6ec-59dc14ce9ec1 · outbound

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

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Deep dynamics: Vehicle dynamics modeling with a physics-constrained neural network for autonomous racing

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.236496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:3a5d2a33154897bbedb64cfdb8cac1755b82beeb30a638f6d551c8823fef20d2

Observation d818d4cc-2f07-4791-9cb3-08c6daf63d6c · outbound

This paper cites Fine-tuning hybrid dynamics with physics-informed neural networks for vehicle dynamics estimation.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Fine-tuning hybrid dynamics with physics-informed neural networks for vehicle dynamics estimation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.274894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:ec5f008fa41470092eb013f06a806c5979177afae2e70f6ad0ebe8c4943f4812

Observation de365ab7-891e-4745-b200-8ffd055b4b06 · outbound

This paper cites Guiggiani,The science of vehicle dynamics: handling, braking, and ride of road and race cars.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Guiggiani,The science of vehicle dynamics: handling, braking, and ride of road and race cars

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.300615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:de109b9ce13de3411400b92ff3669a2719f29f01a6ff5821ddf68eef71ef56c1

Observation e0285e55-3580-4b36-a97f-428f5f262fee · outbound

This paper cites Tube model predictive control for an autonomous race car.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Tube model predictive control for an autonomous race car

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.282911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:bc67bf4b8872add3d545d65c7b47db28649494fcea4a9b65daa2ca67ab7524f0

Observation 2d05f8a5-a217-4b31-81c1-8cb1c1dc08fd · outbound

This paper cites A survey of vehicle dynamics modeling methods for autonomous racing: Theoretical models, physical/virtual platforms, and perspectives.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation A survey of vehicle dynamics modeling methods for autonomous racing: Theoretical models, physical/virtual platforms, and perspectives

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.278946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:7c9aa48f1b887ceff3608f9ec7dda3fa85be28443456c95c907f60b68665d47e

Observation 413ee67f-08f0-4e26-9574-996034f12654 · outbound

This paper cites An efficient minimum- time trajectory generation strategy for two-track car vehicles.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation An efficient minimum- time trajectory generation strategy for two-track car vehicles

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.252971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:612b3840bff0bb2f870413b492e3fd4a7efc21115e263019a9a519b57c7c11e8

Observation 62aaa6cd-af99-4f61-8343-26ba403aca22 · outbound

This paper cites Deep neuralnetworkstopredictautonomousgroundvehiclebehavioronsloping terrain field.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Deep neuralnetworkstopredictautonomousgroundvehiclebehavioronsloping terrain field

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.295885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:11123c4dd13f7e666040cf60901218796d0be8d3451f83c73f6a752dd5eeba43

Observation ca2e7add-405a-4c1d-b666-adb2482313f6 · outbound

This paper cites Learning dynamics models for velocity estimation in autonomous racing.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Learning dynamics models for velocity estimation in autonomous racing

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.291640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:3acd17a05f5c17e011664ee819d7f2aaf6b32e63b6b2af85acbcfea477e1995e

Observation b52746d4-5b1c-4794-b7a3-56b8e0c5a615 · outbound

This paper cites Deepracing: A framework for autonomous racing.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Deepracing: A framework for autonomous racing

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.248979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:96fda77fe9c836e860683b4ef79ba52711ea1ea40d51d2c4d20edffe382e13ef

Observation 1cce22cd-d031-4194-8b65-b1ebbe37a069 · outbound

This paper cites Learning-based near-optimal motion planning for intelligent vehicles with uncertain dynamics.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Learning-based near-optimal motion planning for intelligent vehicles with uncertain dynamics

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.257152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:38b6a8172f97a27d91091fd0dfbd1c64f56003f081dd8152163f070b112a43de

Observation 16d5aaa5-4759-4add-b310-b5100b33ca6c · outbound

This paper cites Digital twin of a driver- in-the-loop race car simulation with contextual reinforcement learning.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Digital twin of a driver- in-the-loop race car simulation with contextual reinforcement learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.287302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:56c64f308e813f82b0d1a8a1711b8e5ddba4497f163fb98d893925beb4621477

Observation d6a7dcc3-dbda-4b9a-8b35-f131a737493d · outbound

This paper cites Learning Based MPC for Autonomous Driving Using a Low Dimensional Residual Model.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Learning Based MPC for Autonomous Driving Using a Low Dimensional Residual Model

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:11:15.761844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:e337c66edc20bb42ae06ea8e605f03e63fd04ef1e92d4e520d06c3e5e8627cad

Observation 8da49754-469f-400c-ac36-27f4c67c3026 · outbound

This paper cites A physics- informedapproachforlearningvehicledynamicsinhigh-speedautonomy.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation A physics- informedapproachforlearningvehicledynamicsinhigh-speedautonomy

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.261595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:73ced54fbffbd93f4cd704bfc4bc45a6857cc725377c727883cce339125c2b1d

Observation 3bb93bee-5b49-48a1-8f89-9af4e697ce66 · outbound

This paper cites Physics-Informed Adaptive Deep Koopman Operator Modeling for Autonomous Vehicle Dynamics.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Physics-Informed Adaptive Deep Koopman Operator Modeling for Autonomous Vehicle Dynamics

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:11:15.758589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:e6aed9c42f6b48cc1c6c9859a609c579aceae76db72202ab633cd2d67241bb6a

Observation 115ceb6a-bb12-4355-8b47-efcd8ccae72b · outbound

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

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Racecar-the dataset for high-speed autonomous racing

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.266242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:3b8b8b286541853702b34505b12132081a7d3ba53b9df4e5dc9d252553b99f17

Observation 557ca36b-83fb-4856-8e60-9475c2dbcb0d · outbound

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

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Bayesrace: Learning to race autonomously using prior experience

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.270698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:0c7dca2bd0b96889c3af5587ede6052b046a05526fc71eb72bbdf96e7364a27b

Observation 430b4ff7-641c-44c1-b35a-d0c3075cc77a · outbound

This paper cites Social lstm: Human trajectory prediction in crowded spaces.

LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation Social lstm: Human trajectory prediction in crowded spaces

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-12T23:51:59.245297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:09:35.054891Z digest=sha256:904c825d4d13bc4a457a0161db232a9e44cd3569002098efa7f304f6505a8aaf

Pith citing papers

Observation 2ce66827-3b6c-475c-a3f9-c092a0193677 · inbound

CAPE: Control Algorithm Performance Evaluation under Learned Vehicle Dynamics Models cites this paper.

CAPE: Control Algorithm Performance Evaluation under Learned Vehicle Dynamics Models LE-PAVD: Learning-Enhanced Physics-Aware Vehicle Dynamics for High-Speed Autonomous Navigation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-02T11:06:52.923229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T04:43:15.692491Z digest=sha256:082c2ec75a2e07948f719ac5ed5b33add4933713239605fe7ea5571ea967afa4