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Paper Citation Record · LEDGER

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos

As of 13 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2412.01056.

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

pith.paper-citation-record.v1
2412.01056 v1

Coverage vector

measured 51 of 51 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

51 of 51 outbound references displayed

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Outbound references

Observation bf98886f-18e0-45ed-9d91-2a3afe172532 · outbound

This paper cites Association Between Various Brain Pathologies and Gait Disturbance.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Association Between Various Brain Pathologies and Gait Disturbance

Reference 1

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Observation a65f08f9-5b47-4fa6-96a0-60478aa59236 · outbound

This paper cites Procedures for gait analysis.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Procedures for gait analysis

Reference 2

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Observation 0fcb3f92-6067-46d6-af23-eca596e29ffa · outbound

This paper cites Gait analysis in the therapeutic environment.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Gait analysis in the therapeutic environment

Reference 3

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Observation 82b08b75-b2f1-4acf-955d-c18fc8c39d1f · outbound

This paper cites Gait Analysis: Normal and Pathological Function.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Gait Analysis: Normal and Pathological Function

Reference 4

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Observation 798547e6-f198-41c8-a69d-c7f0c5acd5ae · outbound

This paper cites Reliability of observational kinematic gait analysis.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Reliability of observational kinematic gait analysis

Reference 5

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Observation 558f387f-09d2-434e-9150-95b55f4c406f · outbound

This paper cites Reliability of videotaped observational gait analysis in patients with orthopedic impairments.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Reliability of videotaped observational gait analysis in patients with orthopedic impairments

Reference 6

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Observation fa63a595-3401-4e19-87ad-725897fa6067 · outbound

This paper cites The Effect of Preoperative Gait Analysis on Orthopaedic Decision Making.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos The Effect of Preoperative Gait Analysis on Orthopaedic Decision Making

Reference 7

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Observation 44b48ac1-0fc7-45e0-bf9c-b9eb8edb3337 · outbound

This paper cites The impact of Three-Dimensional Gait Analysis in adults with pathological gait on management recommendations.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos The impact of Three-Dimensional Gait Analysis in adults with pathological gait on management recommendations

Reference 8

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Observation 1af9dc0b-15c6-4e30-b78d-9c3ff5273144 · outbound

This paper cites Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Reference 9

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Observation 9d6ab272-84f9-4eb1-b630-775a2531947d · outbound

This paper cites Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Present and future of gait assessment in clinical practice: Towards the application of novel trends and technologies

Reference 10

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Observation 7151c9e0-84c2-4834-bfc2-4333be4701b9 · outbound

This paper cites Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning–based 2D pose estimator.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning–based 2D pose estimator

Reference 11

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Observation 0528288f-8d5b-4a5b-893d-6a9504c11dda · outbound

This paper cites Two-dimensional video-based analysis of human gait using pose estimation.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Two-dimensional video-based analysis of human gait using pose estimation

Reference 12

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Observation a7ea9f55-1159-4b93-94ac-9192f807ef5c · outbound

This paper cites BlazePose: On-device Real-time Body Pose tracking.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos BlazePose: On-device Real-time Body Pose tracking

Reference 13

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Observation aeaefc88-fd2f-48d3-a4ca-c63cbfd33620 · outbound

This paper cites OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Reference 14

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Observation 09273abb-7e00-4dd7-87eb-6fdd47c6137b · outbound

This paper cites Clinical gait analysis using video-based pose estimation: Multiple perspectives, clinical populations, and measuring change.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Clinical gait analysis using video-based pose estimation: Multiple perspectives, clinical populations, and measuring change

Reference 15

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Observation 831a8d04-e9b1-4246-a1b5-dbb6451a7a7b · outbound

This paper cites Validation of portable in-clinic video-based gait analysis for prosthesis users.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Validation of portable in-clinic video-based gait analysis for prosthesis users

Reference 16

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Observation 4cc2c769-bbdc-441e-ba8d-30ca20e9cd9e · outbound

This paper cites Deep neural networks enable quantitative movement analysis using single-camera videos.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Deep neural networks enable quantitative movement analysis using single-camera videos

Reference 17

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Observation 9eb476a4-e7cb-49bb-baf0-2f1f31928402 · outbound

This paper cites Automatic labeling of Parkinson’s Disease gait videos with weak supervision.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Automatic labeling of Parkinson’s Disease gait videos with weak supervision

Reference 18

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Observation 5c04851c-92e6-4035-999b-feafd2a08b14 · outbound

This paper cites https://www.ibm.com/reports/data-breach.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos https://www.ibm.com/reports/data-breach

Reference 19

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Observation bb46ce73-9340-4795-8e0e-b66e6a8777c4 · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos MediaPipe: A Framework for Building Perception Pipelines

Reference 20

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Observation 4c93410e-213e-4283-bc79-40e15472a535 · outbound

This paper cites A tutorial on human activity recognition using body-worn inertial sensors.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos A tutorial on human activity recognition using body-worn inertial sensors

Reference 21

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Observation 19bbe7de-9765-4a27-9098-ab85494536ae · outbound

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Permutation importance: a corrected feature importance measure

Reference 22

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Observation 53cae21e-8097-4ccf-9a7a-d4acd5ff70c6 · outbound

This paper cites Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh – A Python package).

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Time Series FeatuRe Extraction on basis of Scalable Hypothesis tests (tsfresh – A Python package)

Reference 23

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Observation fc8b946d-9595-4f61-97ec-54383ef4971d · outbound

This paper cites On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines

Reference 24

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Observation 5e3cfe0b-5fe7-4658-a655-23ba5e78a5b4 · outbound

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Random Forests

Reference 25

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos XGBoost: A Scalable Tree Boosting System

Reference 26

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution

Reference 27

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Distributed and parallel time series feature extraction for industrial big data applications

Reference 28

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos The control of the false discovery rate in multiple testing under dependency

Reference 29

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Editorial: special issue on learning from imbalanced data sets

Reference 30

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos SMOTE: Synthetic Minority Over-sampling Technique

Reference 31

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Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes

Reference 32

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This paper cites Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson’s Disease from Full-Body Kinematics.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Classifying Tremor Dominant and Postural Instability and Gait Difficulty Subtypes of Parkinson’s Disease from Full-Body Kinematics

Reference 33

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This paper cites Explainable Artificial Intelligence and Wearable Sensor-Based Gait Analysis to Identify Patients with Osteopenia and Sarcopenia in Daily Life.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Explainable Artificial Intelligence and Wearable Sensor-Based Gait Analysis to Identify Patients with Osteopenia and Sarcopenia in Daily Life

Reference 34

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Observation c7e1a43c-f1ff-4e60-a398-2b59eeb3fa75 · outbound

This paper cites Nested cross-validation when selecting classifiers is overzealous for most practical applications.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Nested cross-validation when selecting classifiers is overzealous for most practical applications

Reference 35

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Unavailable: canonical work link unavailable.

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Observation c6c0ee6b-2093-4ca9-9092-eff9f517191e · outbound

This paper cites Consensus features nested cross-validation.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Consensus features nested cross-validation

Reference 36

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e2335c45-27c3-4dd4-92c2-cdc05655561d · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 37

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no resolver link, observed 2026-08-12T04:48:11.731604Z

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Observation 2908e6ef-f908-4eac-8fe9-6b62aa8cf895 · outbound

This paper cites Available from: https://en.wikipedia.org/w/index.php?title=Binomial_proportion_ confidence_interval&oldid=1223672356.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Available from: https://en.wikipedia.org/w/index.php?title=Binomial_proportion_ confidence_interval&oldid=1223672356

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 3d61582b-7331-401e-95cf-7ed36de2a0b8 · outbound

This paper cites A comparative analysis of gradient boosting algorithms.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos A comparative analysis of gradient boosting algorithms

Reference 39

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Observation 421b7968-d663-4e2e-b539-fb76324bdb69 · outbound

This paper cites Pictorial Structures for Object Recognition.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Pictorial Structures for Object Recognition

Reference 40

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ad043daf-b64c-4be0-9760-ea5b2b45b770 · outbound

This paper cites DeepPose: Human Pose Estimation via Deep Neural Networks.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos DeepPose: Human Pose Estimation via Deep Neural Networks

Reference 41

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4d1eda15-92c8-412d-b18b-731ab4092da5 · outbound

This paper cites Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Discovering individual-specific gait signatures from data-driven models of neuromechanical dynamics

Reference 42

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 922e93bc-5095-42ec-b5cf-ed55007ee5d1 · outbound

This paper cites Gait signature changes with walking speed are similar among able-bodied young adults despite persistent individual-specific differences; 2024.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Gait signature changes with walking speed are similar among able-bodied young adults despite persistent individual-specific differences; 2024

Reference 43

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e40ed3d3-3c90-47ac-863e-e9999a212765 · outbound

This paper cites New Perspectives in Human Movement Variability.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos New Perspectives in Human Movement Variability

Reference 44

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verified exact
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5ddbf099-6128-432f-8ae4-eb508cf38051 · outbound

This paper cites Human movement variability, nonlinear dynamics, and pathology: is there a connection? Human Movement Science.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Human movement variability, nonlinear dynamics, and pathology: is there a connection? Human Movement Science

Reference 45

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Observation d50ca3bd-fca3-4d65-8451-53dc836a465c · outbound

This paper cites Frontal plane compensatory strategies associated with self-selected walking speed in individuals post-stroke.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Frontal plane compensatory strategies associated with self-selected walking speed in individuals post-stroke

Reference 46

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verified exact
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 318e8778-2c55-4a03-9149-db96b77e6ba4 · outbound

This paper cites Influence of systematic increases in treadmill walking speed on gait kinematics after stroke.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Influence of systematic increases in treadmill walking speed on gait kinematics after stroke

Reference 47

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verified exact
doi, observed 2026-08-12T04:48:11.869156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e86d607b-ebc7-4ef7-8697-f603064d2ede · outbound

This paper cites The how and why of arm swing during human walking.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos The how and why of arm swing during human walking

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b97df498-4eaa-448f-8578-46d632d4879d · outbound

This paper cites Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Reference 49

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Observation 0fb1bb3a-09f6-4fb6-8bfc-819e3383f2bd · outbound

This paper cites Deep ConvLSTM with self-attention for human activity decoding using wearables.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Deep ConvLSTM with self-attention for human activity decoding using wearables

Reference 50

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0ffbc15a-98f1-48d5-a836-fac799003063 · outbound

This paper cites ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation.

Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:48:11.800060Z digest=sha256:93b7bc294b9403551699a339c7d99beecabc1e6be8bd57527b9045791c7fe807

Pith citing papers

No inbound Pith citation observations are available.