Pith. sign in

Paper Citation Record · LEDGER

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

As of 8 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=sha256:619165b0bc8c6398d21d936997f5cfca56bc09f2b1c8a7785a9b3221c79c1665

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

Resolution
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=sha256:7c098e03a7785d53b2eb6ed115d363dcd35d4c4d8823f0a709fe47eb75cb48b9

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

Resolution
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:a31374485339249978374218f7f2b0d1c10219936b4e6f34d9da737be29322de

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=sha256:465ccacd3683ef68524aa849ecd308294741fd4ac880c07487d726da912343b6

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

Resolution
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=sha256:45d92f8bbc9cf7d5a030bb69620ab83a281260797d644c1c9794c48902f420e4

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

Resolution
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=sha256:8925e1461da5a42269954645619fd99ad893d59c935e6a9c2c6b98f620a3855a

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:e9816dd982659e3c8da58822b689bef6c4a9ba99569d851be7468edd1d18cdfc

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

Resolution
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=sha256:0a577f87a159ae6279d59920c1011f316001c8286cbbeb56453d31851902cf50

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=sha256:93e9bb132a2438499def69430c30f140740560b23b4476b60c522ef2a474dc84

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

Resolution
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=sha256:6de2dbefceb905651156719b167bb5cad31277054877ebd7c27c0895ac103046

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

Resolution
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=sha256:49ee7a77b1bd49feff2bb58dc9e9ceecc4076d006b6f068a375c5e10e3af1632

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=sha256:3b20de6b90d7e756ef2c6fc3c3d13245d6264762532cb9567c8ac9cc81ec20c9

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=sha256:5b026fa8c85e3dfa921651344eedbf00bab95d99ed78e4d6f52a3764ef84177e

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

Resolution
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=sha256:62ce03f29055733e271085ac998844123a58c0a6b0c873c73dc3ef0b0ab14ca8

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

Resolution
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:f5fbbfec3cb8d40e2b3716f721049a01af8247238ecbda88ae08ef52f431229f

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=sha256:4e46e39fb86c471ba137ef49c8f18e8d05a6b9923014ed6ab12c07d703bd11bc

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:a3abfde44e31a4e446bd8cffb3a56123fafa4c5424ae2e7f5bd1bf92fbea7fff

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=sha256:1c3152824a04910df7bef551edd04a009c4020a5179f890c2190ec1f65ba2e77

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=sha256:875f33cd47f55dccbcabed4dc1fc24414c8072cc98f3e7b8b861dc633940db28

Pith citing papers

No inbound Pith citation observations are available.