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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.213508Z digest=sha256:3d3899b3921b15e66a655b6fa5748bd7be936e2068e32a5b44adfe1da798e9ec

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=sha256:3a7cc9e94b64ff6d8c9d28c629426c3897b9eab2216af5a7b58b31b27089dfd2

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:eb2c2b15b32283f9feff16a4fa72919b7f077e25b6451c79bfe323918ec4bb5f

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

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.412552Z digest=sha256:b7c5aa51a6e048dd88f7a8dcf94499c58f4e227179f9cb7bc5ca9da719305b34

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:cddc61b27fe149bffa6815bac3543e1da7e81829e2b7cf96af324d97bd8bc35b

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:cb759024fb71a4a7bd2b5cf58ec1fd26726d3feb035383e2590432aed7a9331c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.547220Z digest=sha256:2ee73f15f6402fc955f63b3e3d033dde6c49349ce5580421dd21dca5a3b9c7b9

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:b906888cc20eedfb5eb858bba43b1389cdc6b349fa880c5a84107afb13eda193

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.718176Z digest=sha256:27decd835605826f58bc0a47380b11f2abbad55b749e426607c6302043290a6a

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:c1d0dfe167e940b0de98b7565d5ee8f4305ba3acec7095101c8de180fbb93190

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:e432afca5363af72fbc809ddeac7682c52f12570fbd6bee21925cfbe50bba132

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.897231Z digest=sha256:89306772b8134321988d2477c0aaa30e389fc78aa16f5f1190f56597f5f75dc6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:00.956262Z digest=sha256:435fc9194d502959fb2aee24e18502bac1743999efbbebe929f777ebc62751e6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:01.033408Z digest=sha256:3ac0ebf3e80259248885fcfb0077a17b5b3524ad0a63538c4786bd03e02b6862

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:a1dfa225db16c4917321c15e737b0af0f2b1b609598cd57449847bec64f87fbe

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=sha256:8354951a5ec1c92441d757f5ec153c4dfbe95dae96f22350bc19302e7f8d60e2

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

Resolution
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=sha256:99107c7cd8fb711979aa67526e57e6053b2c9d0cc13067a579b5922fd3e83576

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T18:04:01.333768Z digest=sha256:719e8da4b6813f32f90261a65c4c2a25775e64f47752d7124f2efec94b214414

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

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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:fedb5bc713ea93778f7be8ccc4b95bf56ea45860db24b41305cf40b37dfbcfce

Pith citing papers

No inbound Pith citation observations are available.