Paper Citation Record · LEDGER

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.05663.

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pith.paper-citation-record.v1
2607.05663 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

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measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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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

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation f7bfa87c-7998-455b-8db7-4955c08230c2 · outbound

This paper cites Perception, planning, control, and coordination for autonomous vehicles,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Perception, planning, control, and coordination for autonomous vehicles,

Reference 1

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Observation a1a632db-66d2-4571-90ac-13f346fca847 · outbound

This paper cites Gnss/ins integration methods,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Gnss/ins integration methods,

Reference 2

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Source-reported events for the cited work

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Observation 4940fa83-37a8-456f-a254-6e7ce0f3b117 · outbound

This paper cites An improved ukf for imu state estimation based on modulation lstm neural network,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors An improved ukf for imu state estimation based on modulation lstm neural network,

Reference 3

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This paper cites A survey on localization for au- tonomous vehicles,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors A survey on localization for au- tonomous vehicles,

Reference 4

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Observation d7277c9e-2fbc-4289-ae59-2758324ec562 · outbound

This paper cites Uncertainty- aware hybrid machine learning in virtual sensors for vehicle sideslip angle estimation,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Uncertainty- aware hybrid machine learning in virtual sensors for vehicle sideslip angle estimation,

Reference 5

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Observation b870d0d4-63bc-4ecf-8563-aed66c1c2c75 · outbound

This paper cites Three-dimensional vehicle dynamics state estimation for high-speed race cars under varying signal quality,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Three-dimensional vehicle dynamics state estimation for high-speed race cars under varying signal quality,

Reference 6

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Observation 559612bc-228b-4eee-9d1f-3e4555e7d849 · outbound

This paper cites A survey of vehicle localization: Performance analysis and challenges,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors A survey of vehicle localization: Performance analysis and challenges,

Reference 7

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Observation 9b81ed6f-dc44-44d3-a1e9-35abbf08e057 · outbound

This paper cites Deep learning for inertial positioning: A survey,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Deep learning for inertial positioning: A survey,

Reference 8

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Observation b7b37895-8611-4576-9654-3a2ffee01d28 · outbound

This paper cites Inertial navigation systems for mobile robots,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Inertial navigation systems for mobile robots,

Reference 9

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Observation 7da7d0e1-509e-4641-8f6b-519d770e4c4a · outbound

This paper cites Ai-imu dead-reckoning,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Ai-imu dead-reckoning,

Reference 10

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Observation 3b73b281-0ced-473d-92a5-eb6f59633dce · outbound

This paper cites Imu dead-reckoning localization with rnn-iekf algorithm,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Imu dead-reckoning localization with rnn-iekf algorithm,

Reference 11

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Observation d412c13e-e557-46d4-8ed4-a8e43f6bbe43 · outbound

This paper cites Deep learning-based approach for au- tonomous vehicle localization: application and experimental analysis,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Deep learning-based approach for au- tonomous vehicle localization: application and experimental analysis,

Reference 12

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Observation 10283c42-06c3-4cde-8b8d-f8c37d948fa1 · outbound

This paper cites A hybrid physics-data driven approach for vehicle dynamics state estimation,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors A hybrid physics-data driven approach for vehicle dynamics state estimation,

Reference 13

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Observation f1c41da9-abcf-4a91-8771-4a74920d2971 · outbound

This paper cites Advances in neural information processing systems,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Advances in neural information processing systems,

Reference 14

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Observation d664a17f-c0b1-4a60-9c4a-4bf8993cadd2 · outbound

This paper cites On the identification of noise covariances and adaptive kalman filtering: A new look at a 50 year-old problem,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors On the identification of noise covariances and adaptive kalman filtering: A new look at a 50 year-old problem,

Reference 15

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Observation 27f1a7b5-baf2-4e06-93d9-82f1b48567ad · outbound

This paper cites Wheel-INS: A wheel-mounted MEMS imu-based dead reckoning system,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Wheel-INS: A wheel-mounted MEMS imu-based dead reckoning system,

Reference 16

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Observation df8f60ef-75bb-4a9d-84d3-a04117e1b17e · outbound

This paper cites Improved vehicle localization using on-board sensors and vehicle lateral velocity,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Improved vehicle localization using on-board sensors and vehicle lateral velocity,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T04:17:46.977754Z

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Observation cad86279-91fd-4bf8-a76a-4b4211db6cd1 · outbound

This paper cites Learning wheel odometry and imu errors for localization,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Learning wheel odometry and imu errors for localization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T04:17:46.958938Z

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Observation 09eebff8-f9c0-43d4-8261-7cbe0d2ea2d0 · outbound

This paper cites Llio: Lightweight learned inertial odometer,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Llio: Lightweight learned inertial odometer,

Reference 19

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Observation f5833b33-d17c-4aa8-9b91-0d0b65b1dda5 · outbound

This paper cites A2dio: Attention-driven deep inertial odometry for pedestrian localization based on 6d imu,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors A2dio: Attention-driven deep inertial odometry for pedestrian localization based on 6d imu,

Reference 20

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Observation f42567f3-a480-4d5e-b449-cae8937b003a · outbound

This paper cites A hybrid adaptive velocity aided navigation filter with application to ins/dvl fusion,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors A hybrid adaptive velocity aided navigation filter with application to ins/dvl fusion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T04:17:46.943876Z

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Observation d3ebd396-60fc-4ae6-9c66-89781cbe1d12 · outbound

This paper cites Calib-net: Calibrating the low-cost imu via deep convolutional neural network,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Calib-net: Calibrating the low-cost imu via deep convolutional neural network,

Reference 22

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Observation 18546c36-b21f-41bc-9018-daf64f831766 · outbound

This paper cites An unscented kalman filter-informed neural network for vehicle sideslip angle estimation,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors An unscented kalman filter-informed neural network for vehicle sideslip angle estimation,

Reference 23

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Observation fa84626c-e072-4e90-97b6-2b043a41dfd8 · outbound

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

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors End-to-end neural network for vehicle dynamics modeling,

Reference 24

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Observation e6c29255-51e9-4cec-9d3c-b59431e70ff3 · outbound

This paper cites Backprop kf: Learning discriminative deterministic state estimators,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Backprop kf: Learning discriminative deterministic state estimators,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T04:17:46.989541Z

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Observation 8a7cb649-5afe-44f1-b818-2815a86ba2ff · outbound

This paper cites Particle filter recurrent neural networks,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Particle filter recurrent neural networks,

Reference 26

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Observation 87e4ffd3-8d70-4054-8070-cd777f8197f3 · outbound

This paper cites Multimodal sensor fusion with differentiable filters,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Multimodal sensor fusion with differentiable filters,

Reference 27

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Observation 4a12cfd9-558c-4481-9503-aa0c4b52a886 · outbound

This paper cites Deep learning for time series clas- sification and extrinsic regression: A current survey,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Deep learning for time series clas- sification and extrinsic regression: A current survey,

Reference 28

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Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Unresolved cited work

Reference 29

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Observation a0a3c886-4024-4354-82bf-e1f9d607aa2a · outbound

This paper cites Botsch and W.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Botsch and W

Reference 30

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Observation c4d4dd7b-1ea4-40ac-9de2-99241ca59e6d · outbound

This paper cites Physics-informed machine learning,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Physics-informed machine learning,

Reference 31

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Observation 8ece96aa-5d7f-4f06-abe3-60a2ec65519a · outbound

This paper cites Kalmannet: Data-driven kalman filtering,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Kalmannet: Data-driven kalman filtering,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T04:17:46.925756Z

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Observation 25ab3220-fdb2-4725-9e1e-8d5e04f41ec1 · outbound

This paper cites An Expert's Guide to Training Physics-informed Neural Networks.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors An Expert's Guide to Training Physics-informed Neural Networks

Reference 33

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This paper cites Self-scalable tanh (stan): Multi-scale solutions for physics-informed neural networks,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Self-scalable tanh (stan): Multi-scale solutions for physics-informed neural networks,

Reference 34

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Observation dd69d537-ec11-462c-b7d2-6d4e285846b0 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 35

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Source-reported events for the cited work

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Observation 60c1f7a8-f160-4785-8a9c-b3fa762f910f · outbound

This paper cites Real-world vehicle state estimation dataset (ReV- StED), IEEE IV 2025,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Real-world vehicle state estimation dataset (ReV- StED), IEEE IV 2025,

Reference 36

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Observation e9118044-6806-4cc8-8631-16e82fc069b5 · outbound

This paper cites Adma-g pro+ high-precision gnss/inertial sys- tem,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Adma-g pro+ high-precision gnss/inertial sys- tem,

Reference 37

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This paper cites Fault-diagnosis systems. an introduction from fault detection to fault tolerance,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Fault-diagnosis systems. an introduction from fault detection to fault tolerance,

Reference 38

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Observation c48f884a-dcce-4bf3-a014-8cfd1f48e960 · outbound

This paper cites Nvidia jetson orin developer kit,.

Physics-Regularized Machine Learning for Proprioceptive Vehicle Localization Using Onboard Sensors Nvidia jetson orin developer kit,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-11T04:17:46.951701Z

Source-reported events for the cited work

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