Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:31:37.571164Z
Paper Citation Record · LEDGER
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information
As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.05544.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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
Reference resolution
44 of 44 outbound references displayed
- verified exact2
- verified fuzzy36
- unresolved6
- parse uncertain0
- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fac2f1bb-aa9d-45f7-88a4-d6ef691aaaa7 · outbound
This paper cites Work-related muscu- loskeletal disorders in the automotive industry due to repetitive work-implications for rehabilitation,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Work-related muscu- loskeletal disorders in the automotive industry due to repetitive work-implications for rehabilitation,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:42.540871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c8f4ede0-433b-4bb0-9ae6-96c318c18202 · outbound
This paper cites Prevalence and associated factors of work-related musculoskeletal disorders symptoms among construction workers: a cross-sectional study in south china,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Prevalence and associated factors of work-related musculoskeletal disorders symptoms among construction workers: a cross-sectional study in south china,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:42.363191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d40a111a-889f-4e33-b8d4-4f7349e09023 · outbound
This paper cites Work-related musculoskeletal disorders: the epidemi- ologic evidence and the debate,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Work-related musculoskeletal disorders: the epidemi- ologic evidence and the debate,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:42.208018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a72f350e-bb3c-4d46-a156-1763e4bf1dea · outbound
This paper cites Wearable mon- itoring devices for biomechanical risk assessment at work: Current status and future challenges—a systematic review,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Wearable mon- itoring devices for biomechanical risk assessment at work: Current status and future challenges—a systematic review,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:41.946545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d83570f6-d1eb-4933-a0fd-95ee82878f4d · outbound
This paper cites Effect of load carriage lifestyle on kinematics and kinetics of gait,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Effect of load carriage lifestyle on kinematics and kinetics of gait,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:41.733367Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2a05eb23-22ed-483a-8ac7-52e273377c45 · outbound
This paper cites Advances in biomechanics-based motion analysis,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Advances in biomechanics-based motion analysis,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:41.625315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation da7ad053-fdeb-4c86-afea-dcbeb07a60d1 · outbound
This paper cites Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Effects of load carrying techniques on gait parameters, dynamic balance, and physiological parameters during a manual material handling task,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:41.525226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 694affd4-22d3-46f4-aa29-9aa819ca4964 · outbound
This paper cites Investigation of the relationship between ironworker’s gait stability and different types of load carrying using wearable sensors,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Investigation of the relationship between ironworker’s gait stability and different types of load carrying using wearable sensors,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:41.382938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 953132fa-85fb-4b8c-89c9-f0b3886c4284 · outbound
This paper cites Measuring effects of two-handed side and anterior load carriage on thoracic-pelvic coordination using wearable gyroscopes,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Measuring effects of two-handed side and anterior load carriage on thoracic-pelvic coordination using wearable gyroscopes,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:41.173827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6a850beb-27c5-43b4-a363-4f2a2bdd4c8d · outbound
This paper cites Rula: a survey method for the investigation of work-related upper limb disorders,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Rula: a survey method for the investigation of work-related upper limb disorders,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:41.026138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a1c98f51-59b5-4418-a7c4-8f6342526fc8 · outbound
This paper cites Rapid entire body assessment (reba),.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Rapid entire body assessment (reba),
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:40.844693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 51afd3bb-0bfd-48e6-bcc3-9a013fbc509d · outbound
This paper cites Improved reba: deep learn- ing based rapid entire body risk assessment for prevention of musculoskeletal disorders,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Improved reba: deep learn- ing based rapid entire body risk assessment for prevention of musculoskeletal disorders,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:40.657063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 374c3691-b5ba-402c-ba86-0d5f69e2ce11 · outbound
This paper cites Ergonomic risk assessment based on computer vision and machine learning,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Ergonomic risk assessment based on computer vision and machine learning,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:42.069012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9431a796-048e-4369-9e7d-00bfb0c16529 · outbound
This paper cites Wearables for monitoring and postural feedback in the work context: a scoping review,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Wearables for monitoring and postural feedback in the work context: a scoping review,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:40.501194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5472d547-4bda-40e8-a302-cdae794cdc7d · outbound
This paper cites Posture risk assessment in an automotive assembly line using inertial sensors,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Posture risk assessment in an automotive assembly line using inertial sensors,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:40.349936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2326c39e-e03a-44ee-8b69-9994657d6e9f · outbound
This paper cites Wearable sensor network for biomechanical overload assessment in manual material handling,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Wearable sensor network for biomechanical overload assessment in manual material handling,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:40.152913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 0c2a47fa-6251-4b17-88c8-8a1565a9b825 · outbound
This paper cites Automatic ergonomic risk assess- ment using a variational deep network architecture,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Automatic ergonomic risk assess- ment using a variational deep network architecture,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:39.968327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9aace5e5-9d1f-4dbc-955b-805138692bf8 · outbound
This paper cites An attention-based adap- tive spatial–temporal graph convolutional network for long-video ergonomic risk assess- ment,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information An attention-based adap- tive spatial–temporal graph convolutional network for long-video ergonomic risk assess- ment,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:39.817963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f1892656-c671-4e06-950b-8f29a3a89d38 · outbound
This paper cites Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Deep learning-based networks for automated recognition and classification of awkward working postures in construction using wearable insole sensor data,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:39.640558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9694b8a2-73e3-4424-a30d-75315af934cf · outbound
This paper cites Classifying hazardous movements and loads during manual materials handling using accelerometers and instrumented insoles,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Classifying hazardous movements and loads during manual materials handling using accelerometers and instrumented insoles,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:39.507308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fc0efc66-6c88-4b35-a354-c829eafda288 · outbound
This paper cites Lifting posture prediction with generative models for improving occupational safety,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Lifting posture prediction with generative models for improving occupational safety,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:39.272894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fc2268f3-0c9f-480e-b10e-ad3afbf9d499 · outbound
This paper cites Measuring biomechanical risk in lifting load tasks through wearable system and machine-learning approach,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Measuring biomechanical risk in lifting load tasks through wearable system and machine-learning approach,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:39.122464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9736a88d-92aa-4043-80cd-9872ec60df50 · outbound
This paper cites A promising wearable solution for the practical and accurate monitoring of low back loading in manual material handling,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information A promising wearable solution for the practical and accurate monitoring of low back loading in manual material handling,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.928578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5cc139c7-aa62-45c3-a53e-02490218d6a9 · outbound
This paper cites Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Statistical prediction of load carriage mode and magnitude from inertial sensor derived gait kinematics,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.748192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9ede865d-2135-4e3c-b8f0-03f29fa0378c · outbound
This paper cites Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:31:37.968062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2da013a0-f7da-4143-a3b9-1002a72a5c4c · outbound
This paper cites Multi-modal gait recognition via effective spatial-temporal feature fusion,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Multi-modal gait recognition via effective spatial-temporal feature fusion,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.570403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 971b9039-b9d0-4f5e-bd84-54b8d3a4abac · outbound
This paper cites A multi-stage adaptive feature fusion neural network for multimodal gait recognition,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information A multi-stage adaptive feature fusion neural network for multimodal gait recognition,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.430067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4f66b060-190f-491f-94a9-cbcfcc73da8f · outbound
This paper cites A comprehensive review of gait analysis using deep learning approaches in criminal investigation,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information A comprehensive review of gait analysis using deep learning approaches in criminal investigation,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.338760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c184c5e1-f951-490e-a1e3-abb28fdc4971 · outbound
This paper cites Auto-encoding variational bayes,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Auto-encoding variational bayes,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.309713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d4b698bc-e207-45ed-9f44-9624d7bed9f1 · outbound
This paper cites Learning structured output representation using deep conditional generative models,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Learning structured output representation using deep conditional generative models,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.281663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 41fbe28d-f7d4-4518-b7c1-b9ee38de7156 · outbound
This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a3ecff2-ba38-4c41-831a-1485eb41c438 · outbound
This paper cites LXMERT: Learning Cross-Modality Encoder Representations from Transformers.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 088d5824-7509-47f9-b748-735453301222 · outbound
This paper cites Gaussian Error Linear Units (GELUs).
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Gaussian Error Linear Units (GELUs)
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:31:37.173910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1da995a8-a918-404e-bddd-a04e9d5b6a2e · outbound
This paper cites Attention is all you need,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Attention is all you need,
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:31:37.242953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa14a912-b68b-4814-9a8d-b2af8eea411b · outbound
This paper cites Ladder varia- tional autoencoders,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Ladder varia- tional autoencoders,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.236184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 87d9cc1c-3c27-4577-b584-63484928cbe9 · outbound
This paper cites Generating Sentences from a Continuous Space.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Generating Sentences from a Continuous Space
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:31:37.362051Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd61015e-5105-4c33-8162-f00845230d1c · outbound
This paper cites Long short-term memory,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Long short-term memory,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.168634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f5799314-c5dd-416d-8c28-40291971f85a · outbound
This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Informer: Beyond efficient transformer for long sequence time-series forecasting,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.150262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 708a97f2-2e0f-44d6-8b53-9d3323808170 · outbound
This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:31:37.506151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e02389e-1210-4f3b-9fa8-c86ced723d31 · outbound
This paper cites Deep time series models: A comprehensive survey and benchmark,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Deep time series models: A comprehensive survey and benchmark,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.116360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 451975fa-5d89-48c2-89b8-192c6298a081 · outbound
This paper cites Deep learning with differential privacy,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Deep learning with differential privacy,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.077221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 85276c12-7727-4530-a3b2-d02f0c8eee14 · outbound
This paper cites Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:31:37.683705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3c43dbaf-cfc6-47cd-aa15-0f7891b9b2ab · outbound
This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Model-agnostic meta-learning for fast adaptation of deep networks,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.039518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e323df78-515c-43c2-848b-404e084480ca · outbound
This paper cites Real-time adaptation for time-series signal prediction using label-aware neural processes,.
Gait-Based Hand Load Estimation via Deep Latent Variable Models with Auxiliary Information Real-time adaptation for time-series signal prediction using label-aware neural processes,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:31:38.004124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.