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Paper Citation Record · LEDGER

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection

As of 8 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2506.06707.

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

pith.paper-citation-record.v1
2506.06707 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:55:54.947730Z

measured 9 of 9 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 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

9 of 9 outbound references displayed

  • verified exact4
  • verified fuzzy3
  • unresolved1
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 589661cb-7722-4d72-bafc-ac32980cc0ff · outbound

This paper cites Bloodstream Infection Event (Central Line- Associated Bloodstream Infection and Non-central Line Associated Bloodstream Infection) [Internet].

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection Bloodstream Infection Event (Central Line- Associated Bloodstream Infection and Non-central Line Associated Bloodstream Infection) [Internet]

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:55.118374Z

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.

source=pdf_text observed=2026-08-07T05:55:54.920870Z digest=sha256:5598e3bb335bb3ec0944b21d6ddf6343ba1c0fba8f2ee644225a0e63961d5c8d

Observation 2d57b328-2b0f-4b06-af4e-72b05950ec41 · outbound

This paper cites Surveillance Bloedstroom Infecties in Belgische Ziekenhuizen - Protocol 2019.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection Surveillance Bloedstroom Infecties in Belgische Ziekenhuizen - Protocol 2019

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:55.110613Z

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.

source=pdf_text observed=2026-08-07T05:55:54.924550Z digest=sha256:f32042bc821f4852ad851537444354d08902612ecf2f45a68808fc7b2cf84d0c

Observation 611fa8e3-9769-48b1-b940-fb03a125dbb6 · outbound

This paper cites A comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care records.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection A comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care records

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:55:55.094756Z

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.

source=pdf_text observed=2026-08-07T05:55:54.927763Z digest=sha256:f8b768c19f0f574201a338ba96b7fd4831a9a2bc7427709a5d63f44e9f9f5e47

Observation a39614f2-6546-4511-9bde-6032ea0c4b9a · outbound

This paper cites missForestPredict -- Missing data imputation for prediction settings.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection missForestPredict -- Missing data imputation for prediction settings

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:55:55.081304Z

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.

source=pdf_text observed=2026-08-07T05:55:54.931177Z digest=sha256:afd6303015ca7cad9e11d26299d0d98fda2a7e09d7006c8659b2b58075107023

Observation fb3817e3-bb25-4628-979c-2127bc751423 · outbound

This paper cites (2007), Dynamic Prediction by Landmarking in Event History Analysis.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection (2007), Dynamic Prediction by Landmarking in Event History Analysis

Reference 5

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:55:54.935742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:55:54.935742Z digest=sha256:6784a607c5da5b1b420628e14694fe267722711f9afc94fd2f6c32da86dba9e7

Observation 6edf2ed9-bc67-40ca-bce3-533adad63fc7 · outbound

This paper cites Dynamic Prediction In Clinical Survival Analysis.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection Dynamic Prediction In Clinical Survival Analysis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:55:55.102555Z

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.

source=pdf_text observed=2026-08-07T05:55:54.938772Z digest=sha256:e32bf18025350804347ebab8ec13a0c0db552e94bf993ccab76556e3d31b5838

Observation 1467aacb-86c5-4f8a-8753-e78b1b1f5395 · outbound

This paper cites an unresolved cited work.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection Unresolved cited work

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T05:55:54.996108Z

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.

source=pdf_text observed=2026-08-07T05:55:54.941975Z digest=sha256:01ba3485aa9edab20920352252e9bc49789cc1b7c4a1db970af4c5b6c840b382

Observation 0baec578-19a7-4df3-848c-f162bd85d197 · outbound

This paper cites Calculating the sample size required for developing a clinical prediction model.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection Calculating the sample size required for developing a clinical prediction model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:55:54.944871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:55:54.944871Z digest=sha256:c706dfefee81ff0e1e0cc0c89331ee3263dd685da8b56b0b70dadda923fc4c1f

Observation 90eaae49-ec76-462a-8b16-db7326d8d5cd · outbound

This paper cites Systematic review finds risk of bias and applicability concerns for models predicting central line- associated bloodstream infection.

Comparing methods for handling missing data in electronic health records for dynamic risk prediction of central-line associated bloodstream infection Systematic review finds risk of bias and applicability concerns for models predicting central line- associated bloodstream infection

Reference 9

Resolution
verified exact
doi, observed 2026-08-07T05:55:54.977918Z

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.

source=pdf_text observed=2026-08-07T05:55:54.947730Z digest=sha256:02b142cfe5f24f6b3197a52db65c34565d70ef71ac90b05fc32350485086e117

Pith citing papers

No inbound Pith citation observations are available.