Paper Citation Record · LEDGER

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs

As of 19 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2412.06389.

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

pith.paper-citation-record.v1
2412.06389 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:44:58.276450Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy15
unresolved9
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be03fa76-2ab2-47c6-9a40-41827c7b7497 · outbound

This paper cites A gesture recognition approach to classifying allergic rhinitis gestures using wrist-worn devices: a multidisciplinary case study,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs A gesture recognition approach to classifying allergic rhinitis gestures using wrist-worn devices: a multidisciplinary case study,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.507605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3b156055-ba6a-4185-a2e5-7b9d5ac623e2 · outbound

This paper cites End-to-end gesture recog- nition framework for the identification of allergic rhinitis symptoms,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs End-to-end gesture recog- nition framework for the identification of allergic rhinitis symptoms,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.497181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af62e225-0e8b-4ae6-b36c-b724d759f001 · outbound

This paper cites Exploring the impact of synthetic data on human activity recognition tasks,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Exploring the impact of synthetic data on human activity recognition tasks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.487149Z

Source-reported events for the cited work

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Observation 1f737152-9edf-4bbf-b63b-61c51ec0e809 · outbound

This paper cites A generative adversarial network (gan) technique for internet of medical things data,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs A generative adversarial network (gan) technique for internet of medical things data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.476852Z

Source-reported events for the cited work

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Observation c9b0d70a-6f53-414b-8960-78163575e0e6 · outbound

This paper cites Generative adversarial networks in time series: A systematic literature review,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Generative adversarial networks in time series: A systematic literature review,

Reference 5

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Source-reported events for the cited work

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Observation b4ad529d-6165-40c5-8ebb-bad768c7147d · outbound

This paper cites Generative adversarial networks,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Generative adversarial networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T19:44:58.215441Z

Source-reported events for the cited work

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Observation 0ba71bf3-853d-4d8c-888d-cb55befd1d7b · outbound

This paper cites Using gans for sharing networked time series data: Challenges, initial promise, and open questions,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Using gans for sharing networked time series data: Challenges, initial promise, and open questions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.455894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5bcd3ac-253a-4344-9e1c-960057cf5296 · outbound

This paper cites Time-series generative ad- versarial networks,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Time-series generative ad- versarial networks,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8818ff30-5005-4dae-8b76-fdf66803dfc9 · outbound

This paper cites Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Reference 9

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Source-reported events for the cited work

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Observation dae9e974-69dc-429c-ae6c-c8461b8e815d · outbound

This paper cites Medical time-series data generation using generative adversarial networks,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Medical time-series data generation using generative adversarial networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.440002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 758954ec-c212-4d13-a0a7-a0974bd1d923 · outbound

This paper cites Sensegen: A deep learning architecture for synthetic sensor data generation,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Sensegen: A deep learning architecture for synthetic sensor data generation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.430064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5327f77-0aa8-438a-87c7-b36d291c5012 · outbound

This paper cites Sensorygans: An effec- tive generative adversarial framework for sensor-based human activity recognition,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Sensorygans: An effec- tive generative adversarial framework for sensor-based human activity recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.418568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e71967c-3ae7-4326-9480-0dc66212e54f · outbound

This paper cites Sensegan: Enabling deep learning for internet of things with a semi-supervised framework,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Sensegan: Enabling deep learning for internet of things with a semi-supervised framework,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.406859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0e412eab-0857-4b08-a9ae-1a43d1e50903 · outbound

This paper cites Activitygan: Generative adversarial networks for data augmentation in sensor-based human activity recog- nition,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Activitygan: Generative adversarial networks for data augmentation in sensor-based human activity recog- nition,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.396643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 30a5dad2-8b34-43ee-91a5-9e303d585ffa · outbound

This paper cites Rgc: Reliable gesture classification via wearables using gans-based data augmentation,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Rgc: Reliable gesture classification via wearables using gans-based data augmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.386517Z

Source-reported events for the cited work

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Observation d847703f-e30e-43a2-bffd-eec820d4d60e · outbound

This paper cites Survey on synthetic data generation, evaluation methods and gans,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Survey on synthetic data generation, evaluation methods and gans,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.376455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 550c2f32-e08d-4d0a-998a-8a159e323cf4 · outbound

This paper cites A kernel method for the two-sample-problem,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs A kernel method for the two-sample-problem,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.366351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99e4001c-b8f9-486c-98e2-5e9881d4a5f9 · outbound

This paper cites Generative moment matching networks,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Generative moment matching networks,

Reference 18

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Source-reported events for the cited work

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Observation e029c761-ccf6-4a41-88a0-0f8444370a23 · outbound

This paper cites Gestureset: Public domain dataset for human gesture recognition using wrist-worn devices: A preliminary version,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Gestureset: Public domain dataset for human gesture recognition using wrist-worn devices: A preliminary version,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.351099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 489b5bd6-b5fe-4d5e-8689-24230c07ee69 · outbound

This paper cites Sign- speaker: A real-time, high-precision smartwatch-based sign language translator,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Sign- speaker: A real-time, high-precision smartwatch-based sign language translator,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:44:58.340353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e7c70686-554d-48c1-a65c-01f84c009f8e · outbound

This paper cites Improved training of wasserstein gans,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Improved training of wasserstein gans,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T19:44:58.266346Z

Source-reported events for the cited work

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Observation 11679683-42a0-4d6e-a0fa-9bd21dd22c42 · outbound

This paper cites Principal component analysis,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs Principal component analysis,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T19:44:58.269566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221f4f54-e886-4330-b815-9f76b6a3c1a5 · outbound

This paper cites TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T19:44:58.272891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b35ae0fb-9834-4a5a-8982-df73e7fa8b39 · outbound

This paper cites How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models,.

Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs How faithful is your synthetic data? sample-level metrics for evaluating and auditing generative models,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T19:44:58.276450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.