Paper Citation Record · LEDGER

not-MIWAE: Deep Generative Modelling with Missing not at Random Data

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.12871.

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

pith.paper-citation-record.v1
2006.12871 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:33:20.032529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:01.949750Z

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 f5e66c00-e621-41aa-815a-4b222581f240 · inbound

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation cites this paper.

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:20.032529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f26e0f8b-807d-410c-b097-a40e80c2d85e · inbound

Incomplete Data, Complete Dynamics: A Diffusion Approach cites this paper.

Incomplete Data, Complete Dynamics: A Diffusion Approach not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:21:28.301265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdb59dcc-b525-44b0-8ea0-da5b3fa42450 · inbound

Multivariate Time Series Data Imputation via Distributionally Robust Regularization cites this paper.

Multivariate Time Series Data Imputation via Distributionally Robust Regularization not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:42:36.957511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc31dd0e-109c-4dd4-a0ac-a44f5ad35eff · inbound

Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling cites this paper.

Missingness-aware Data Imputation via AI-powered Bayesian Generative Modeling not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:07.168444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7514e138-0206-40d2-bd53-b2638056cad9 · inbound

Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random cites this paper.

Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.951192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4910be3-70fe-4d8c-b1d1-5217f83b51da · inbound

Flow Matching with Missing Data cites this paper.

Flow Matching with Missing Data not-MIWAE: Deep Generative Modelling with Missing not at Random Data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T00:46:02.059379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.