Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:48:11.800060Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:48:11.800060Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bf98886f-18e0-45ed-9d91-2a3afe172532 · outbound
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
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
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
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
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
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
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
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
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
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
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
Source-reported events for the cited work
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Observation 0528288f-8d5b-4a5b-893d-6a9504c11dda · outbound
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
Source-reported events for the cited work
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Observation a7ea9f55-1159-4b93-94ac-9192f807ef5c · outbound
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
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09273abb-7e00-4dd7-87eb-6fdd47c6137b · outbound
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
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
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.
Observation 4cc2c769-bbdc-441e-ba8d-30ca20e9cd9e · outbound
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
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
Source-reported events for the cited work
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Observation 5c04851c-92e6-4035-999b-feafd2a08b14 · outbound
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos https://www.ibm.com/reports/data-breach
Reference 19
Source-reported events for the cited work
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Observation bb46ce73-9340-4795-8e0e-b66e6a8777c4 · outbound
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos MediaPipe: A Framework for Building Perception Pipelines
Reference 20
Source-reported events for the cited work
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Observation 4c93410e-213e-4283-bc79-40e15472a535 · outbound
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
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
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
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
Classifying Simulated Gait Impairments using Privacy-preserving Explainable Artificial Intelligence and Mobile Phone Videos Random Forests
Reference 25
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Observation 01b3a082-6671-429c-849a-218dba3f1df5 · outbound
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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Observation 618fc86a-3200-425f-adac-195d8ce750aa · outbound
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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Observation d3a9bd10-ead1-457c-b471-a18ed3d5af6d · outbound
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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Observation 2fa170d0-cf38-4734-b47f-e2beba352104 · outbound
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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Observation 38f10b33-7e34-49b8-be8e-8c16c239c623 · outbound
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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Observation 626c5095-4766-4a3b-a654-9c4755bf30a1 · outbound
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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Observation 1d4200bd-eadf-4758-b593-89ee6cdd0bbc · outbound
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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Observation 267eb368-cd03-4e87-8221-363e118af673 · outbound
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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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
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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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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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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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
Source-reported events for the cited work
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Observation 3d61582b-7331-401e-95cf-7ed36de2a0b8 · outbound
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
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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Observation ad043daf-b64c-4be0-9760-ea5b2b45b770 · outbound
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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Observation 4d1eda15-92c8-412d-b18b-731ab4092da5 · outbound
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
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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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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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Reference 45
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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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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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Observation e86d607b-ebc7-4ef7-8697-f603064d2ede · outbound
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
Source-reported events for the cited work
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Observation b97df498-4eaa-448f-8578-46d632d4879d · outbound
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
Source-reported events for the cited work
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Observation 0fb1bb3a-09f6-4fb6-8bfc-819e3383f2bd · outbound
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
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0ffbc15a-98f1-48d5-a836-fac799003063 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.