Paper Citation Record · LEDGER

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach

As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.00545.

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

pith.paper-citation-record.v1
2506.00545 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:32.998104Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

32 of 32 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a390ec7f-d534-4720-b96d-dcbdc594d434 · outbound

This paper cites A survey on missing data in machine learning.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach A survey on missing data in machine learning

Reference 1

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Observation d61925e8-b896-43b8-8db8-1fce31638fa9 · outbound

This paper cites In-database data imputation.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach In-database data imputation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:38.358861Z

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Observation 714e04a6-a97e-4ff3-91c5-5c90414ba1e0 · outbound

This paper cites A benchmark for data imputation methods.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach A benchmark for data imputation methods

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:38.212468Z

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Observation c1788419-9c3b-41e2-8677-df9fc7893d91 · outbound

This paper cites Data management in machine learning: Challenges, techniques, and systems.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Data management in machine learning: Challenges, techniques, and systems

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:38.070756Z

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Observation b8923532-476d-40d3-8c90-5d2ba454096b · outbound

This paper cites Oculomotor function in patients with parkinson’s disease.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Oculomotor function in patients with parkinson’s disease

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:37.884908Z

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Observation 1ab834d2-a9ff-48fc-a63a-2cef8c3e82c8 · outbound

This paper cites Abnormalities of smooth pursuit in parkinson’s disease: A systematic review.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Abnormalities of smooth pursuit in parkinson’s disease: A systematic review

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:37.694148Z

Source-reported events for the cited work

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Observation 4d615630-e44c-4b6f-80d6-9aa9720633b3 · outbound

This paper cites The measurement of visual sampling during real-world activity in parkinson’s disease and healthy controls: A structured literature review.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach The measurement of visual sampling during real-world activity in parkinson’s disease and healthy controls: A structured literature review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:37.498401Z

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Observation 9a6d3e02-2016-4720-91ea-453386d29e46 · outbound

This paper cites Direct and indirect effects of attention and visual function on gait impairment in parkinson’s disease: influence of task and turning.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Direct and indirect effects of attention and visual function on gait impairment in parkinson’s disease: influence of task and turning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:37.361994Z

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Observation 92cf713e-229a-44cf-97cf-f0ca94859034 · outbound

This paper cites Eye movement abnormalities in movement disorders.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Eye movement abnormalities in movement disorders

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:37.239047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d951d19-8d80-4d1c-98e2-5d77e0847931 · outbound

This paper cites Detection of parkinson’s disease by analysis of smooth pursuit eye movements and machine learning.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Detection of parkinson’s disease by analysis of smooth pursuit eye movements and machine learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:36.932539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c02560ad-2fe7-4804-a457-27f6016d1db1 · outbound

This paper cites Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Reference 11

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Source-reported events for the cited work

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Observation e6bacd59-cdc2-4dbb-b9ee-b6d36d51450c · outbound

This paper cites Diffecg: A versatile probabilistic diffusion model for ecg signals synthesis.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Diffecg: A versatile probabilistic diffusion model for ecg signals synthesis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:36.644148Z

Source-reported events for the cited work

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Observation 50282439-0433-4fc6-995c-b962140b77c9 · outbound

This paper cites Gain: Missing data imputation using generative adversarial nets.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Gain: Missing data imputation using generative adversarial nets

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:36.340479Z

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Observation 81e83993-dc4f-414e-98b1-f1a2b9dc40c7 · outbound

This paper cites Generative adversarial networks for ecg generation, translation, imputation and denoising.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Generative adversarial networks for ecg generation, translation, imputation and denoising

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:36.156490Z

Source-reported events for the cited work

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Observation 3363285b-573f-4777-b21c-0828e4885a06 · outbound

This paper cites Contextual imputation with missing sequence of eeg signals using generative adversarial networks.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Contextual imputation with missing sequence of eeg signals using generative adversarial networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:35.972542Z

Source-reported events for the cited work

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Observation a6a2665a-be72-4ff5-8d41-12853b88fbec · outbound

This paper cites Conditional Generation of Periodic Signals with Fourier-Based Decoder.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Conditional Generation of Periodic Signals with Fourier-Based Decoder

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:33.353092Z

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Observation eb7fd20b-5e1e-43f8-8182-a8d997fb9675 · outbound

This paper cites Deep generative models for physiolog- ical signals: A systematic literature review.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Deep generative models for physiolog- ical signals: A systematic literature review

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:35.766482Z

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Observation 592cef2f-7984-4618-94d8-bd4ea04a8eac · outbound

This paper cites Baseline wander removal applied to smooth pursuit eye movements from parkinsonian patients.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Baseline wander removal applied to smooth pursuit eye movements from parkinsonian patients

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:35.612550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a5e40c9-04f2-438d-8583-f4f9c4c2a695 · outbound

This paper cites Monotone piecewise cubic interpolation.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Monotone piecewise cubic interpolation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:35.412714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8dfe5dab-19d9-4320-a7ac-8c450f64b294 · outbound

This paper cites Estimation of the cyclopean eye from binocular smooth pursuit tests.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Estimation of the cyclopean eye from binocular smooth pursuit tests

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:35.216381Z

Source-reported events for the cited work

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Observation c4f630de-effe-485b-b4a0-e00bcae5df04 · outbound

This paper cites Analysis of time series structure: SSA and related techniques.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Analysis of time series structure: SSA and related techniques

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:35.044186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e8e4e20-5018-4e61-b20c-0c5372a3827f · outbound

This paper cites Reconstruction of pupil dilation signal during eye blinking events.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Reconstruction of pupil dilation signal during eye blinking events

Reference 22

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Observation f86a2e86-d1dd-4bf1-8c5d-9432a858c3cc · outbound

This paper cites Deep Learning for Multivariate Time Series Imputation: A Survey.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 23

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Source-reported events for the cited work

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Observation 23e40185-550c-4c64-8743-f9ea97b3f3c4 · outbound

This paper cites Long-term missing value imputation for time series data using deep neural networks.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Long-term missing value imputation for time series data using deep neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:34.675829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a51f3d21-3f49-4bf2-99be-d2910aa40d33 · outbound

This paper cites MADS: Modulated Auto-Decoding SIREN for time series imputation.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach MADS: Modulated Auto-Decoding SIREN for time series imputation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:06:33.196441Z

Source-reported events for the cited work

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Observation b3235cad-dfd0-431b-bde0-6fa03adc8a88 · outbound

This paper cites SAITS: Self-attention-based imputation for time series.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach SAITS: Self-attention-based imputation for time series

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:34.455870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34f84ad0-dc7f-4889-9894-98c6177db4ee · outbound

This paper cites Inference and missing data.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Inference and missing data

Reference 27

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Source-reported events for the cited work

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Observation dbdbe291-73b7-4f38-b338-a56ee1cebe39 · outbound

This paper cites Statistical analysis with missing data.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Statistical analysis with missing data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:34.268522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1978d57-6d09-4ba9-b0f4-5eb3cada1801 · outbound

This paper cites Junger and A Ponce De Leon.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Junger and A Ponce De Leon

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:34.110768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f38b1f84-1da6-4f18-b629-5fe83f40d366 · outbound

This paper cites Deep imputation of missing values in time series health data: A review with benchmarking.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Deep imputation of missing values in time series health data: A review with benchmarking

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:33.953889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0aff399-e9c9-4841-8404-5b3dd86cede0 · outbound

This paper cites Dynamic graph con- volutional recurrent imputation network for spatiotemporal traffic missing data.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Dynamic graph con- volutional recurrent imputation network for spatiotemporal traffic missing data

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:33.802841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5cbc7909-7c07-4c57-84b6-4f1b0bbcac52 · outbound

This paper cites Dynamic time warping-based imputation for univariate time series data.

Imputation of Missing Data in Smooth Pursuit Eye Movements Using a Self-Attention-based Deep Learning Approach Dynamic time warping-based imputation for univariate time series data

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:06:33.599290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.