Paper Citation Record · LEDGER

Deep Learning for Multivariate Time Series Imputation: A Survey

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2402.04059.

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

pith.paper-citation-record.v1
2402.04059 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:18.494092Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T12:46:56.964740Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9f407ebd-a484-455a-a976-1f070fb585ef · inbound

Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset cites this paper.

Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T20:13:45.323547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0f6b1a-5eed-4d1c-aa2b-592e2fc29af4 · inbound

MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis cites this paper.

MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-12T04:49:39.550641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aef1f4e3-7e8d-4dbc-b121-2224875c8783 · inbound

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis cites this paper.

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T13:41:17.199979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6648285-f256-4a50-b7b4-524fe7aa52dd · inbound

BRATI: Bidirectional Recurrent Attention for Time-Series Imputation cites this paper.

BRATI: Bidirectional Recurrent Attention for Time-Series Imputation Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:17:44.460939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d38b757-b081-4d8e-9c96-93b06830a5d2 · inbound

Boundary-enhanced time series data imputation with long-term dependency diffusion models cites this paper.

Boundary-enhanced time series data imputation with long-term dependency diffusion models Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:14.035512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768de312-292e-4d91-a469-826cc1e9df0b · inbound

NeuralPrefix: A Zero-shot Sensory Data Imputation Plugin cites this paper.

NeuralPrefix: A Zero-shot Sensory Data Imputation Plugin Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T17:36:30.545934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f4befbc-1741-4635-9ba8-1598dffa982b · inbound

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning cites this paper.

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T16:43:40.232338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434c088b-ba14-49c0-a544-ec6e0539b5a7 · inbound

A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM) cites this paper.

A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM) Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:18.494092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Resolution: unresolved; no resolver link, observed 2026-08-07T12:06:32.256605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2561b26-a769-47b5-bc59-f5466b92b981 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:27.112484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f366cdb-6a0b-4566-be24-499c15c6a93c · inbound

BEDTime: A Unified Benchmark for Automatically Describing Time Series cites this paper.

BEDTime: A Unified Benchmark for Automatically Describing Time Series Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:56:46.016193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7617c79-fda8-4055-a108-cfff4995b097 · inbound

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation cites this paper.

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T15:56:33.045433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfe459cb-26de-4883-b8ce-618f0b06cc70 · inbound

Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting cites this paper.

Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T18:58:29.328982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b77d142-847c-43e3-8d61-3db9c64935d9 · inbound

Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning cites this paper.

Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:09.648681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d41db4aa-ff5d-42e2-a85d-3988772092e0 · inbound

AION: Next-Generation Tasks and Practical Harness for Time Series cites this paper.

AION: Next-Generation Tasks and Practical Harness for Time Series Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:34:38.199639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3498af36-0021-4e2d-9504-419309ea6561 · inbound

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models cites this paper.

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:56.967034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32880845-3a9b-4b54-922f-effc19f028f8 · inbound

MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation cites this paper.

MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation Deep Learning for Multivariate Time Series Imputation: A Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T12:16:14.266231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.