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Paper Citation Record · LEDGER

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2502.00575.

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

pith.paper-citation-record.v1
2502.00575 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:32:11.719577Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 2b162967-0fe8-4129-b605-955ef7a590c5 · outbound

This paper cites Advances in UA V Avionics Systems Architecture, Classification and Integration: A Comprehensive Review and Future Perspectives,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Advances in UA V Avionics Systems Architecture, Classification and Integration: A Comprehensive Review and Future Perspectives,

Reference 1

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Observation ab8014c7-071d-4a5b-929b-758173ac1b83 · outbound

This paper cites Geometric Stochastic Filter with Guaranteed Performance for Autonomous Navigation based on IMU and Feature Sensor Fusion,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Geometric Stochastic Filter with Guaranteed Performance for Autonomous Navigation based on IMU and Feature Sensor Fusion,

Reference 2

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Observation 78009fd9-8132-416f-b88b-388fb49bcd82 · outbound

This paper cites Mtrajplan- ner: A multiple-trajectory planning algorithm for autonomous underwa- ter vehicles,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Mtrajplan- ner: A multiple-trajectory planning algorithm for autonomous underwa- ter vehicles,

Reference 3

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Observation b34dbabd-6773-4538-b0d9-5845b5b21287 · outbound

This paper cites Homecare robotic systems for healthcare 4.0: Visions and enabling technologies,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Homecare robotic systems for healthcare 4.0: Visions and enabling technologies,

Reference 4

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Observation 53cc7663-6a42-4caf-8393-1377c9315c1b · outbound

This paper cites Efficient package delivery task assignment for truck and high capacity drone,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Efficient package delivery task assignment for truck and high capacity drone,

Reference 5

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Observation c064fe25-e6af-490f-91f6-342fcd5f2eb9 · outbound

This paper cites Fault-tolerant cooperative navigation of networked uav swarms for forest fire moni- toring,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Fault-tolerant cooperative navigation of networked uav swarms for forest fire moni- toring,

Reference 6

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Observation 5202b9c3-1fbd-402b-af9c-9e2525961c69 · outbound

This paper cites Heterogeneity in ice-wedge per- mafrost degradation revealed across spatial scales,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Heterogeneity in ice-wedge per- mafrost degradation revealed across spatial scales,

Reference 7

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Source-reported events for the cited work

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Observation ef3d7a87-f008-4cfe-9a0e-a2517f8358f5 · outbound

This paper cites Augmented reality navigation for minimally invasive knee surgery using enhanced arthroscopy,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Augmented reality navigation for minimally invasive knee surgery using enhanced arthroscopy,

Reference 8

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Source-reported events for the cited work

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Observation d79c5a64-be55-4256-91ab-7c9ce58442fb · outbound

This paper cites Multiparticle kalman filter for object localization in symmetric environments,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Multiparticle kalman filter for object localization in symmetric environments,

Reference 9

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Observation 7b3c53dc-7545-4308-90a3-12d392c97943 · outbound

This paper cites Magnetometer-based attitude determination extended kalman filter and optimization tech- niques,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Magnetometer-based attitude determination extended kalman filter and optimization tech- niques,

Reference 10

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Source-reported events for the cited work

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Observation 32f7987a-70e8-4690-ba86-3d4de43e88db · outbound

This paper cites Pedestrian dead reckoning with wearable sensors: A systematic review,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Pedestrian dead reckoning with wearable sensors: A systematic review,

Reference 11

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Observation 1a536865-40b6-4890-8cd5-f58f893e6623 · outbound

This paper cites UWB Ranging and IMU Data Fusion: Overview and Nonlinear Stochastic Filter for Inertial Navigation,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net UWB Ranging and IMU Data Fusion: Overview and Nonlinear Stochastic Filter for Inertial Navigation,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b6379a76-8a88-4b7d-b886-2b21441eb23f · outbound

This paper cites Airtag of the clones: Shenanigans with liberated item finders,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Airtag of the clones: Shenanigans with liberated item finders,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ec68de64-de39-4dd9-b416-95705460b2ed · outbound

This paper cites Exponentially Stable Observer-based Controller for VTOL-UA Vs without Velocity Measurements,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Exponentially Stable Observer-based Controller for VTOL-UA Vs without Velocity Measurements,

Reference 14

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Observation 06fb8424-2a4f-40a5-a3ac-7a8a232242ca · outbound

This paper cites Method for registration of 3-d shapes,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Method for registration of 3-d shapes,

Reference 15

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Source-reported events for the cited work

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Observation 344a3d93-7bdc-4998-89ca-02066ce19287 · outbound

This paper cites Point set registration: Coherent point drift,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Point set registration: Coherent point drift,

Reference 16

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Observation f3d423ae-c991-45f1-bc20-4dabcf025e06 · outbound

This paper cites Robust inertial-aided underwa- ter localization based on imaging sonar keyframes,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Robust inertial-aided underwa- ter localization based on imaging sonar keyframes,

Reference 17

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Observation 96805dfa-2ffc-4040-a0f8-576695e9836c · outbound

This paper cites A survey of lidar technology and its use in spacecraft relative navigation,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net A survey of lidar technology and its use in spacecraft relative navigation,

Reference 18

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Observation f40fc278-afff-4edd-b9d1-0606a4e72877 · outbound

This paper cites GPS-denied Navigation: Attitude, Position, linear Ve- locity, and Gravity Estimation with Nonlinear Stochastic Observer,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net GPS-denied Navigation: Attitude, Position, linear Ve- locity, and Gravity Estimation with Nonlinear Stochastic Observer,

Reference 19

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Observation ee7138e0-a7bc-4e23-9afa-0795945b5fdf · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Distinctive image features from scale-invariant keypoints,

Reference 20

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Observation 1db2e1dd-67c0-4f3c-b32a-133dc7a7b6b5 · outbound

This paper cites Good features to track,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Good features to track,

Reference 21

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Observation f66c8cf8-6ed5-408b-899f-3f1a1892327a · outbound

This paper cites Visual–inertial naviga- tion systems for aerial robotics: Sensor fusion and technology,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Visual–inertial naviga- tion systems for aerial robotics: Sensor fusion and technology,

Reference 22

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Observation 0f56417d-67c5-4b74-b72e-9af43c7cb381 · outbound

This paper cites A multi-state constraint kalman filter for vision-aided inertial navigation,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net A multi-state constraint kalman filter for vision-aided inertial navigation,

Reference 23

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Source-reported events for the cited work

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Observation 79122e8f-d2e8-4a04-a2f9-e15b215a9d2a · outbound

This paper cites Robust stereo visual inertial odometry for fast autonomous flight,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Robust stereo visual inertial odometry for fast autonomous flight,

Reference 24

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Source-reported events for the cited work

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Observation 1cc2a6d7-4b62-4699-a894-89d18084a651 · outbound

This paper cites Kalman filter for mobile- robot attitude estimation: Novel optimized and adaptive solutions,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Kalman filter for mobile- robot attitude estimation: Novel optimized and adaptive solutions,

Reference 25

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e3795a6c-aee5-4473-981c-9a49a3064a65 · outbound

This paper cites Quaternion-based Unscented Kalman Filter for 6-DoF Vision-based Inertial Navigation in GPS-denied Regions,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Quaternion-based Unscented Kalman Filter for 6-DoF Vision-based Inertial Navigation in GPS-denied Regions,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d03421f1-451f-40b6-9ead-de263f88a7f8 · outbound

This paper cites Nonlinear Stochastic At- titude Filters on the Special Orthogonal Group 3: Ito and Stratonovich,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Nonlinear Stochastic At- titude Filters on the Special Orthogonal Group 3: Ito and Stratonovich,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 51bf5ebf-55b3-4d9b-b617-5089c993ba0c · outbound

This paper cites Systematic Convergence of Nonlinear Stochastic Esti- mators on the Special Orthogonal Group SO(3),.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Systematic Convergence of Nonlinear Stochastic Esti- mators on the Special Orthogonal Group SO(3),

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 39b5ae78-a710-4e9a-84ce-f8efec84a05f · outbound

This paper cites Fusing inertial sensor data in an extended kalman filter for 3d camera tracking,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Fusing inertial sensor data in an extended kalman filter for 3d camera tracking,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2d3acae3-116b-4e6c-aa16-0c41173e6bed · outbound

This paper cites The unscented kalman filter,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net The unscented kalman filter,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation faceca02-f74e-4549-bb59-b1124638035c · outbound

This paper cites On noise covariance estimation for kalman filter-based damage localization,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net On noise covariance estimation for kalman filter-based damage localization,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c28ae7a4-9dbd-4481-adda-c27a52f3449b · outbound

This paper cites Ai-imu dead-reckoning,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Ai-imu dead-reckoning,

Reference 32

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unresolved
no resolver link, observed 2026-08-09T18:32:11.657035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:32:11.657035Z digest=sha256:c30fb2e62c0536c6d7d464bf96748b09775cb484432605c2c9cbc330f9ffb063

Observation 4f3544d3-c39c-4465-baac-6cfd50328619 · outbound

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

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Imu dead-reckoning localization with rnn-iekf algorithm,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:12.041341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cb722b78-7b1a-468f-bb11-41c0b4e3905a · outbound

This paper cites Learning vehicle trajectory uncertainty,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Learning vehicle trajectory uncertainty,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:12.029853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.664681Z digest=sha256:ec213b49b8688ed882a10842bbb82bf38e81c2941355ea527acb70df1a410955

Observation 3c63171a-5e76-47c8-867e-0b1e0ed00c80 · outbound

This paper cites Multi-level deep learning kalman filter,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Multi-level deep learning kalman filter,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:12.017821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fd2342d3-0ae1-497c-b2cc-1f1d0d457e43 · outbound

This paper cites Special Orthogonal Group SO(3), Euler Angles, Angle-axis, Rodriguez Vector and Unit-Quaternion: Overview, Mapping and Challenges.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Special Orthogonal Group SO(3), Euler Angles, Angle-axis, Rodriguez Vector and Unit-Quaternion: Overview, Mapping and Challenges

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-09T18:32:11.899016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.672217Z digest=sha256:50523622fb1100c18e931935740b0a9ee3fa30d059a04b9b3ebb1dab91a2814a

Observation 8591350b-bd46-4a93-b128-33c4656044b6 · outbound

This paper cites A review of irregular time series data handling with gated recurrent neural networks,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net A review of irregular time series data handling with gated recurrent neural networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:12.005172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.676738Z digest=sha256:e11f944815ef65816abc0cb80182728ea86401a267e087da44e04a7d044667cb

Observation d3fe48ef-cccd-4b22-99b6-efd41eb40068 · outbound

This paper cites Unicornn: A recurrent model for learning very long time dependencies,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Unicornn: A recurrent model for learning very long time dependencies,

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.680541Z digest=sha256:4c38749f7504934b10c8d6c48783b91209d29970151c83bc0c00087890ed9674

Observation 6177d2f4-661e-428e-8f2b-7dcd00758261 · outbound

This paper cites Learning Long-Term Dependencies in Irregularly-Sampled Time Series.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Learning Long-Term Dependencies in Irregularly-Sampled Time Series

Reference 39

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:32:11.684288Z digest=sha256:9898a0c41f3c0c60b09ff094bd6b9b13187c9d6d8ef2496f9d73c22bfc5d422b

Observation f6bca400-92e3-482a-abb3-7dd4afa4cbf0 · outbound

This paper cites Remaining useful life prognosis based on ensemble long short-term memory neural network,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Remaining useful life prognosis based on ensemble long short-term memory neural network,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:11.968851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 39c88ae7-e37f-4704-81e0-8a5d3a90ee20 · outbound

This paper cites Gate-variants of gated recurrent unit (gru) neural networks,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Gate-variants of gated recurrent unit (gru) neural networks,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:11.957356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.696462Z digest=sha256:a703908e1ec959c66b7b6d96ccc7b3b72d91f7ee2b0bda05c47b4ebd103c785f

Observation 37ce8f26-3d5a-4648-838e-059dd5f366da · outbound

This paper cites Performance evaluation of deep neural networks applied to speech recognition: Rnn, lstm and gru,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Performance evaluation of deep neural networks applied to speech recognition: Rnn, lstm and gru,

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.700250Z digest=sha256:0dde9d74a18c4a533b0fc9bca2ec8a332e6d44f65a5f98b098f26d54731f1bed

Observation 51a9ae82-f880-435f-9739-2671a9437f02 · outbound

This paper cites The EuRoC micro aerial vehicle datasets,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net The EuRoC micro aerial vehicle datasets,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:11.931899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.703768Z digest=sha256:d7f899a8cb2f9615a55bcfee4f2fa152e8f8b6ab537074f6ef63a2dd88cf297a

Observation cc897687-904a-4c1d-9998-38ff05c17445 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Adam: A Method for Stochastic Optimization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T18:32:11.707886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:32:11.707886Z digest=sha256:1c12a5aaa2896f12c36a17f0e07f08be73cb24f887c41a3e6bd47eda2cdd7275

Observation 925aff79-f644-4714-bce8-8739d5052535 · outbound

This paper cites Towards understanding con- vergence and generalization of adamw,.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Towards understanding con- vergence and generalization of adamw,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:11.919773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.711935Z digest=sha256:225fdb6edacc4af3488936316638239adc9b74524f67d2061552787a4d920eff

Observation 87da8df9-5003-4ee3-a555-bcdcdd2732ea · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Accelerating 3D Deep Learning with PyTorch3D

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T18:32:11.715475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:32:11.715475Z digest=sha256:768dca46af5bab01192d6eea3bf0ffe9e5683548b5a425027d272b4e2568d17e

Observation 6ffa76b1-2a5c-4af0-a324-57450575f9e0 · outbound

This paper cites Hartley and A.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Hartley and A

Reference 47

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unresolved
no resolver link, observed 2026-08-09T18:32:11.719577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:32:11.719577Z digest=sha256:8b4b62867fc86b94b6be15be7ab1730eb8339567630663a328f9b80ad301f0e1

Observation 5ac4c1ce-8539-4190-9224-9e15b4ebf6b4 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 219530825.

DeepUKF-VIN: Adaptively-tuned Deep Unscented Kalman Filter for 3D Visual-Inertial Navigation based on IMU-Vision-Net Available: https://api.semanticscholar.org/CorpusID: 219530825

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T18:32:11.980728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T18:32:11.688838Z digest=sha256:d975b86e660d5d1bf3e4e18011ee5413eb679bab0f7784354a5fca8732aef6c1

Pith citing papers

No inbound Pith citation observations are available.