Paper Citation Record · LEDGER

Improving Missing Data Imputation with Deep Generative Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1902.10666.

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

pith.paper-citation-record.v1
1902.10666 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:49:39.367646Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T05:12:05.120873Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 d1a1dd46-d253-41e2-af18-0e6a12aeb191 · 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 Improving Missing Data Imputation with Deep Generative Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T04:49:39.367646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2fb2dc-a0fb-4fd2-8ea4-1517827856c7 · 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 Improving Missing Data Imputation with Deep Generative Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:41:17.084491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fcc89d2-8aa6-4a65-aaeb-e443d044803d · inbound

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research cites this paper.

From Classical Machine Learning to Emerging Foundation Models: Review on Multimodal Data Integration for Cancer Research Improving Missing Data Imputation with Deep Generative Models

Reference 192

Resolution: verified exact; local_arxiv, observed 2026-05-19T05:12:05.122652Z

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 86b41f66-1be6-4118-b10b-86d74769b27b · inbound

Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches cites this paper.

Efficacy Analysis in Clinical Trials: A Comprehensive Review of Statistical and Machine Learning Approaches Improving Missing Data Imputation with Deep Generative Models

Reference 154

Resolution: verified exact; local_arxiv, observed 2026-05-18T00:40:33.683220Z

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.