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Paper Citation Record · LEDGER

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation

As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.09353.

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

pith.paper-citation-record.v1
2507.09353 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:04:01.407853Z

measured 19 of 19 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 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

19 of 19 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9486686e-1088-4800-9ac0-dff4e2294c23 · outbound

This paper cites Classification uncertainty of multiple imputed data.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Classification uncertainty of multiple imputed data

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T18:04:01.592068Z

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.

source=arxiv_source observed=2026-08-06T18:04:00.213508Z digest=sha256:fc8a8a13ba8ff97091ffab7073f7e3dc66157cfff0059bc867f23b8c58ca4398

Observation 8cc558cb-47ab-48c3-9082-b9c286f596f0 · outbound

This paper cites BRITS: Bidirectional Recurrent Imputation for Time Series.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation BRITS: Bidirectional Recurrent Imputation for Time Series

Reference 2

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unresolved
no resolver link, observed 2026-08-06T18:04:00.283473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:00.283473Z digest=sha256:2fc4e242db41920b7ce7fe5f9e5551ef8d7edb66c021a4507fc2e6d640e50c50

Observation 231bbb72-f7ed-4821-8b0c-8a00af2904a1 · outbound

This paper cites Recurrent Neural Networks for Multivariate Time Series with Missing Values.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Recurrent Neural Networks for Multivariate Time Series with Missing Values

Reference 3

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unresolved
no resolver link, observed 2026-08-06T18:04:00.339639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:00.339639Z digest=sha256:47c7c207e8cd90403d0bbed3077875bc12250f6404b997aa3ac8b42f1db4f478

Observation 593364f8-13f1-4a03-bac0-8c8a3eb37ed0 · outbound

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

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Saits: Self-attention-based imputation for time series

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T18:04:02.538685Z

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.

source=arxiv_source observed=2026-08-06T18:04:00.412552Z digest=sha256:163447b53d0cc1be2c624ed16e5a8e824d2ad6510b01c4e73e2ced79648be9bd

Observation 126b0c41-bef3-4626-a91f-71f7906e2f44 · outbound

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

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation A survey on missing data in machine learning

Reference 5

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unresolved
no resolver link, observed 2026-08-06T18:04:00.487590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:00.487590Z digest=sha256:685a0f69636d3bf188a371ff709bfaa9c65c3d8d1d11506df0e300d582d174e2

Observation 60a43a41-79b6-49ad-911f-52830613890f · outbound

This paper cites Hirid, a high time-resolution icu dataset (version 1.1.1).

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Hirid, a high time-resolution icu dataset (version 1.1.1)

Reference 6

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unresolved
no resolver link, observed 2026-08-06T18:04:00.524316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:00.524316Z digest=sha256:bd0dcdd43db7708416504b45aef3e3a8bc6d89e74a348163875bd73a9a3ff922

Observation 96073161-c6fc-4c11-8174-42293297f09b · outbound

This paper cites GP-VAE: Deep Probabilistic Time Series Imputation.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation GP-VAE: Deep Probabilistic Time Series Imputation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:04:02.351486Z

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.

source=arxiv_source observed=2026-08-06T18:04:00.547220Z digest=sha256:591049e2845a21bd668ae017a4597bcc5ad5be0ccdd0b93f0bd1a295a9835357

Observation f1caa34c-c69f-4dac-9285-745844cd4d40 · outbound

This paper cites Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Reference 8

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unresolved
no resolver link, observed 2026-08-06T18:04:00.641943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:00.641943Z digest=sha256:b3af4b93ca6328fbbf174e436cdb6ac9a494c231a9ddac22d928cee3f80c376f

Observation fd2b5d5d-bc95-4271-a4b2-28f6ea2dc9f0 · outbound

This paper cites HyperImpute: Generalized Iterative Imputation with Automatic Model Selection.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation HyperImpute: Generalized Iterative Imputation with Automatic Model Selection

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:04:02.208596Z

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.

source=arxiv_source observed=2026-08-06T18:04:00.718176Z digest=sha256:750692184701734b4ac692f687028dd41b0b37d34f9234f8d27be39ccc24e090

Observation 5632e2d7-42cf-48bd-a694-74b67ebc16bc · outbound

This paper cites an unresolved cited work.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Unresolved cited work

Reference 10

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unresolved
no resolver link, observed 2026-08-06T18:04:00.771005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:00.771005Z digest=sha256:a9c0cd8337c90d2ec3742d7e135065516a3cef600f85e5a2a88b4356e5225ba6

Observation 18c9e662-a907-48de-9fe8-c165c05de358 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Lightgbm: A highly efficient gradient boosting decision tree

Reference 11

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unresolved
no resolver link, observed 2026-08-06T18:04:00.839141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:00.839141Z digest=sha256:cb45f19e07e29faeb9fce3ca48dd6158497f978dac852936a42ef589d90468f8

Observation 6c449287-3753-4478-b3f6-610cfe4c20c3 · outbound

This paper cites Little and Donald B.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Little and Donald B

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:04:02.822104Z

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.

source=arxiv_source observed=2026-08-06T18:04:00.897231Z digest=sha256:30a05860261f3059d3bbacf2183f7da357d56495da89780952b5eee2efdd6b2c

Observation 85fce046-00ef-4d76-bfcb-371b4f81b138 · outbound

This paper cites CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:04:02.064864Z

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.

source=arxiv_source observed=2026-08-06T18:04:00.956262Z digest=sha256:56b3c21c77f2beb3fac0a444fc76ec142bfc8d33f1cd4afca59e9764d9f9cddf

Observation 59521c80-542c-4400-901f-f41244e63ce8 · outbound

This paper cites Uncertainty-aware variational-recurrent imputation network for clinical time series.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Uncertainty-aware variational-recurrent imputation network for clinical time series

Reference 14

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metadata mismatch
raw_fallback, observed 2026-08-06T18:04:01.901906Z

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.

source=arxiv_source observed=2026-08-06T18:04:01.033408Z digest=sha256:eeb8a3b312c5af2940ed28f638f6e0ec0655ed30bdebac860b15cdb931c6693c

Observation 872113d9-af6f-4e09-849a-e505caaf4c15 · outbound

This paper cites Celi, Omar Badawi, and Roger Mark.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Celi, Omar Badawi, and Roger Mark

Reference 15

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unresolved
no resolver link, observed 2026-08-06T18:04:01.114497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:01.114497Z digest=sha256:47538b9cf4398145bd629377101a1b10db89000ec881db9533e3ab0da02035ee

Observation f5a16302-c0e2-4f49-8dd2-391d625397b3 · outbound

This paper cites CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T18:04:01.172549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:01.172549Z digest=sha256:bc21f5a4cd3f5b1367f96e654e8b0b5bc3d46b79a25c5a315967823a5b2f921a

Observation 16799b34-d0ed-4f08-985e-1c6e8ea82515 · outbound

This paper cites mice: Multivariate imputation by chained equations in r.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation mice: Multivariate imputation by chained equations in r

Reference 17

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unresolved
no resolver link, observed 2026-08-06T18:04:01.265988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:01.265988Z digest=sha256:e324864c47fd953b31c14ffc5e563aaf2d628fb15f2aa65b363200e7bee99dc6

Observation a6b1f0d8-fbdb-4642-9331-3a29b413d286 · outbound

This paper cites Closing gaps: An imputation analysis of ICU vital signs, 2024.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Closing gaps: An imputation analysis of ICU vital signs, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T18:04:02.676953Z

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.

source=arxiv_source observed=2026-08-06T18:04:01.333768Z digest=sha256:dfed7dee44ab8065e739855c0cb2b3cb23e82ac9b4473d294060f2189dd80c37

Observation e9a82158-4b2d-451a-b042-afe186808e21 · outbound

This paper cites Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML.

Impute With Confidence: A Framework for Uncertainty Aware Multivariate Time Series Imputation Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T18:04:01.407853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:01.407853Z digest=sha256:faa608e66711d5976475f11416597177a35b7f54a92ca09f7f150b9a4e5ad6fb

Pith citing papers

No inbound Pith citation observations are available.