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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.213508Z digest=sha256:257bcc61f1d4327714848e621a71bcdd58aed80b5cb8385b6b8da5416d1e1ead

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=sha256:0e65defb2c31a6c2fa6648d38372a62d79cd51426a309d688823ec5ee4f01e80

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:cf6bca8e430c6abfca084521ce7fc353afbae10e54a4765704ccb61d516b1633

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.412552Z digest=sha256:cb51ffdb0f4fe0b1d422ecb1c71dfe62b476c1354449720602df7cc8416b22f5

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:fa01cdb0e1eee82037b282b3d1f9a5849e7579424e356d1d6433feb2073a3e40

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:dd723c065055ca878a02426c3bdce7d25be42db50b8282610af04f442e0cf39d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.547220Z digest=sha256:bedc9760985f702958e86a94d5172951398354b105132e28b86a45c75775c4cb

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=sha256:1c9589934675830ed3a02df2f0c23e334b44ea064e8c0f020dfb5dc6d523c016

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.718176Z digest=sha256:95aceb4a5747066de97bc357070c08860e1ea6bd8fd4535a53047fd0a71c4f11

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=sha256:920a46e5c56b2020f61a762972bfbd6d30070d70456c0bb132bc10f9e058e489

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=sha256:1b86386cf6908a6486662c40d31724a7d33d4f193a510891f4c7b4da5ce1f0be

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.897231Z digest=sha256:79736ed46b07f2499eeb5fd2b25cd0dd1c036f4ec1b79b999585aa4f25a6a45a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.956262Z digest=sha256:b7536cb09d9d6059a395a8b40d63a936aaf77a8033e08c0bb3da673fa53abf2c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:01.033408Z digest=sha256:7df37a6148686670c28bfd88380942b3e47e164026288cac61f270a406353f6b

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=sha256:16519ad13d2089093869957b5236e4cfe71a9a33179fedfa7535b6e566818fbf

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

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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:e35f765614154fcb53fd22e747a9b3b39aa3f4a30f9b7a560140e7501057dbc0

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=sha256:51c7a958b23e6176307b088e5f48f300c6d3e4da59190c0ed75dacb9c8c0ed84

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T18:04:01.333768Z digest=sha256:3a0bd0312286e2c708229d91daebc5eb6b6c9f9fc55ab78ae4f4c1b0328fb5da

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.

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Pith citing papers

No inbound Pith citation observations are available.