Paper Citation Record · LEDGER

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.18490.

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

pith.paper-citation-record.v1
2505.18490 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:37.862940Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy27
unresolved9
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 266c6b55-9468-4ae6-b2c1-4546ab9c66a9 · outbound

This paper cites A comprehensive review of gnss/ins integration techniques for land and air vehicle applications,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU A comprehensive review of gnss/ins integration techniques for land and air vehicle applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.687396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd05a6ec-ef75-450c-870f-54815d39e3e5 · outbound

This paper cites Towards robust wifi fingerprint-based vehicle tracking in dynamic indoor parking environments: An online learning framework,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Towards robust wifi fingerprint-based vehicle tracking in dynamic indoor parking environments: An online learning framework,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.666868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2accdeb3-8fc2-4c59-acf1-d37198ba8ddc · outbound

This paper cites Ai-imu dead-reckoning,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Ai-imu dead-reckoning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.644631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c7ec109d-c1bb-4d85-9285-d9f2116d3ecc · outbound

This paper cites Glow in the dark: Smartphone inertial odometry for vehicle tracking in gps blocked environments,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Glow in the dark: Smartphone inertial odometry for vehicle tracking in gps blocked environments,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.613627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5edfdece-e62a-42f3-9115-34e3e1d55b9f · outbound

This paper cites Deepvip: Deep learning-based vehicle indoor positioning using smartphones,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Deepvip: Deep learning-based vehicle indoor positioning using smartphones,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.593392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d14df5e0-4e57-4b02-9951-d01dcbfaae91 · outbound

This paper cites Vehicle inertial tracking via mobile crowdsensing: Experience and enhancement,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Vehicle inertial tracking via mobile crowdsensing: Experience and enhancement,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.575467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa41997b-b0df-4658-8f1a-1b178dabb7b5 · outbound

This paper cites High-integrity imm-ekf-based road vehicle navigation with low-cost gps/sbas/ins,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU High-integrity imm-ekf-based road vehicle navigation with low-cost gps/sbas/ins,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.557128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d63d5e2-edfb-441a-9658-00bef414c69c · outbound

This paper cites Longitudinal vehicle speed estimation for four-wheel-independently-actuated electric vehicles based on multi-sensor fusion,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Longitudinal vehicle speed estimation for four-wheel-independently-actuated electric vehicles based on multi-sensor fusion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.539447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 36e6e098-962a-4b3f-af59-bb96764d674c · outbound

This paper cites Sensing vehicle dynamics for determining driver phone use,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Sensing vehicle dynamics for determining driver phone use,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.521376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b311c982-548b-40d3-a550-eb2ead678426 · outbound

This paper cites Estimating speed using a side- looking single-radar vehicle detector,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Estimating speed using a side- looking single-radar vehicle detector,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.498736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54dda64e-625d-4dc6-9748-34b024bf4d74 · outbound

This paper cites Some practical vehicle speed estimation methods by a single traffic magnetic sensor,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Some practical vehicle speed estimation methods by a single traffic magnetic sensor,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.371060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b59cf9d-084e-49d8-b095-6a5a71660be4 · outbound

This paper cites Mag- monitor: Vehicle speed estimation and vehicle classification through a magnetic sensor,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Mag- monitor: Vehicle speed estimation and vehicle classification through a magnetic sensor,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.352501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a036422b-d947-46c1-be0b-2b69243f4a99 · outbound

This paper cites Tightly coupled integration of gnss/uwb/vio for reliable and seamless positioning,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Tightly coupled integration of gnss/uwb/vio for reliable and seamless positioning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.333846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ed757365-51bb-4b68-89fb-8399878434a0 · outbound

This paper cites Vehicle positioning using wifi fingerprinting in urban environment,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Vehicle positioning using wifi fingerprinting in urban environment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.314895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b3bf0f8-1b03-4334-ae79-5148767b2e06 · outbound

This paper cites Doumiati, A.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Doumiati, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.294115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08353482-6a9f-464f-916a-d05b1db4f4dc · outbound

This paper cites Tightly-coupled fusion of vins and motion constraint for autonomous vehicle,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Tightly-coupled fusion of vins and motion constraint for autonomous vehicle,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.271410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7397dc66-d6e4-40d9-8fd8-d96fab154a34 · outbound

This paper cites Smartphone- based real time vehicle tracking in indoor parking structures,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Smartphone- based real time vehicle tracking in indoor parking structures,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.251819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3797bd4e-0cda-4a8b-822b-f1215a905bc3 · outbound

This paper cites Ionet: Learning to cure the curse of drift in inertial odometry,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Ionet: Learning to cure the curse of drift in inertial odometry,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.234133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 61289074-1f56-4933-af37-15dd716a1ca2 · outbound

This paper cites Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Ronin: Robust neural inertial navigation in the wild: Benchmark, evaluations, & new methods,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.216296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0279fd90-8228-4109-859a-4a9beb89b740 · outbound

This paper cites A learning-based model predictive trajectory planning controller for automated driving in unstructured dynamic environments,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU A learning-based model predictive trajectory planning controller for automated driving in unstructured dynamic environments,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.199332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d4cf4a72-dc5b-4548-8f3d-75c49e395e74 · outbound

This paper cites A review of recurrent neural networks: Lstm cells and network architectures,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU A review of recurrent neural networks: Lstm cells and network architectures,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.769125Z

Source-reported events for the cited work

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Observation bcc460df-34e0-4a7a-a503-cec140937fc9 · outbound

This paper cites Long short-term memory,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Long short-term memory,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.775649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a6c7cc-f96d-4911-8236-f10e6873f687 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.782137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e4f5ae7-47b6-434d-adeb-068c7d3ff37f · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.788295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb42ddd-65d2-42f0-9662-205514f0792e · outbound

This paper cites Attention is all you need,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Attention is all you need,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.157968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5dff71d2-75e9-4fca-89e9-7bae53ed08a2 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.801759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8a65dac-2476-4d2e-9ffd-4f96be6d19f5 · outbound

This paper cites Noise modeling and analysis of an imu- based attitude sensor: improvement of performance by filtering and sensor fusion,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Noise modeling and analysis of an imu- based attitude sensor: improvement of performance by filtering and sensor fusion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.124925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5a47dc2d-2091-4ec7-adfe-35c2938380b4 · outbound

This paper cites Maximum likelihood identification of inertial sensor noise model parameters,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Maximum likelihood identification of inertial sensor noise model parameters,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.103387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 58bc48e2-a618-4e32-b723-5325f5561d6b · outbound

This paper cites Teacher forcing recovers reward func- tions for text generation,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Teacher forcing recovers reward func- tions for text generation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.084225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 45bb657d-7902-45b2-9980-737afd3c0268 · outbound

This paper cites Spatial transformer networks,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Spatial transformer networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.063565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1ef2e57-1e7c-4a35-97e5-a025a01b3c6c · outbound

This paper cites Vins-mono: A robust and versatile monocular visual-inertial state estimator,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Vins-mono: A robust and versatile monocular visual-inertial state estimator,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.830009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d855dac-fd0b-4303-a4a1-12c0281b7457 · outbound

This paper cites A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.836781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0c93bb-f2d8-4e8b-8511-96693b6ed33b · outbound

This paper cites Digging into self-supervised monocular depth estimation,.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Digging into self-supervised monocular depth estimation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.032500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 74e58375-3b2f-48a3-8ac5-ebdedb2448c1 · outbound

This paper cites Decoupled Weight Decay Regularization.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Decoupled Weight Decay Regularization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.849557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a9af76-86ab-4a50-90f6-a35dae5265f9 · outbound

This paper cites tf.train.exponentialmovingaverage.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU tf.train.exponentialmovingaverage

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:34:38.011278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c79255f9-ea32-4534-94e3-54535935e62a · outbound

This paper cites Mixed Precision Training.

An Inertial Sequence Learning Framework for Vehicle Speed Estimation via Smartphone IMU Mixed Precision Training

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:37.862940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.