Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T05:43:25.635657Z
Paper Citation Record · LEDGER
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation
As of 4 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2604.17250.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
39 of 39 outbound references displayed
- verified exact5
- verified fuzzy31
- unresolved1
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- malformed identifier1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8f90acdd-0fcf-4927-82af-2097974b9c8d · outbound
This paper cites Health data poverty: an assailable barrier to equitable digital health care.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Health data poverty: an assailable barrier to equitable digital health care
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c03c35d1-4ef1-4ef6-afc6-306d10507940 · outbound
This paper cites World Report on Ageing and Health.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation World Report on Ageing and Health
Reference 2
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f498e20a-c456-44f1-8d76-c759572a24c0 · outbound
This paper cites Global, regional, and national burden of falls among older adults: findings from the Global Burden of Disease Study 2021 and Projections to 2040.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Global, regional, and national burden of falls among older adults: findings from the Global Burden of Disease Study 2021 and Projections to 2040
Reference 3
- Resolution
- verified exact
- doi, observed 2026-05-10T05:46:09.694780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7549aba8-8c45-4f31-a6fc-0bc7454dbe2b · outbound
This paper cites Physical Performance and Falling Risk Are Associated with Five-Year Mortality in Older Adults: An Observational Cohort Study.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Physical Performance and Falling Risk Are Associated with Five-Year Mortality in Older Adults: An Observational Cohort Study
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6e711d8c-5f95-4cc6-9f41-6a34e68ac34b · outbound
This paper cites Discharge planning from hospital.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Discharge planning from hospital
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7402426a-39e6-420e-a7aa-af2663c2d8c2 · outbound
This paper cites Association between continuity of care (COC), healthcare use and costs: what can we learn from claims data? A rapid review.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Association between continuity of care (COC), healthcare use and costs: what can we learn from claims data? A rapid review
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 09d4c2fc-e561-4c93-95cd-f0caf191f41a · outbound
This paper cites Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Supporting SURgery with GEriatric Co-Management and AI (SURGE-Ahead): A study protocol for the development of a digital geriatrician
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 13081ede-fe62-4a7c-8b19-5a4461f28472 · outbound
This paper cites SURGE-ahead postoperative delirium prediction: external validation and open-source library.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation SURGE-ahead postoperative delirium prediction: external validation and open-source library
Reference 8
- Resolution
- verified exact
- doi, observed 2026-05-10T05:46:09.706908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e6ef6c64-008d-4368-8c1e-addeafa25bdb · outbound
This paper cites Combining datasets to improve model fitting.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Combining datasets to improve model fitting
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b1d52377-aaed-4b95-a935-e3b524f12f3a · outbound
This paper cites Handbook of Missing Data Methodology.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Handbook of Missing Data Methodology
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.866557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72f323cd-76e2-434d-85a0-53de3a10a276 · outbound
This paper cites Flexible Imputation of Missing Data.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Flexible Imputation of Missing Data
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.856288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5407ced4-eb59-4c39-9a0f-8e23873bf63f · outbound
This paper cites MissForest—non-parametric missing value imputation for mixed-type data.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation MissForest—non-parametric missing value imputation for mixed-type data
Reference 12
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 957a2f5b-8d9a-4231-982b-f369f181a9bc · outbound
This paper cites Improving classification accuracy using data augmentation on small data sets.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Improving classification accuracy using data augmentation on small data sets
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12846636-33e9-4777-870f-4e2b50cd9b52 · outbound
This paper cites Synthetic data generation methods in healthcare: A review on open-source tools and methods.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Synthetic data generation methods in healthcare: A review on open-source tools and methods
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aba09182-e25b-420b-85d5-3dc30af0d19f · outbound
This paper cites Adversarial random forests for density estimation and generative modeling.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Adversarial random forests for density estimation and generative modeling
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 509d1738-168f-40d5-a87b-5bb1408097f9 · outbound
This paper cites synthpop: Bespoke creation of synthetic data in R.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation synthpop: Bespoke creation of synthetic data in R
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9a54823b-3554-449b-bbc4-e7b5f3e434fc · outbound
This paper cites Standard-of-Care vs.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Standard-of-Care vs
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf8324a6-ccee-4ea8-87e5-49617de1cd87 · outbound
This paper cites Generative adversarial nets.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Generative adversarial nets
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.851296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7cd3df1f-d5ef-457e-97ba-65582196c191 · outbound
This paper cites Unsupervised learning with random forest predictors.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Unsupervised learning with random forest predictors
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3cd7d0a6-885f-41e1-a3d3-b9bd066cd841 · outbound
This paper cites CountARFactuals–generating plausible model-agnostic counterfactual explanations with adversarial random forests.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation CountARFactuals–generating plausible model-agnostic counterfactual explanations with adversarial random forests
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.848790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e7f0a4aa-c161-4308-9a8f-584a527f59ef · outbound
This paper cites Conditional feature importance with generative modeling using adversarial random forests.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Conditional feature importance with generative modeling using adversarial random forests
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.887768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bbf10238-d295-4ef0-b139-80abda60272f · outbound
This paper cites Missing Value Imputation With Adversarial Random Forests—MissARF.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Missing Value Imputation With Adversarial Random Forests—MissARF
Reference 22
- Resolution
- verified exact
- doi, observed 2026-05-10T05:46:09.703748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eab1f3be-08c6-4570-a22c-1de7c16aca35 · outbound
This paper cites Random forests.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Random forests
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68a0a9cf-99ae-49f1-aaea-3c7ac496b079 · outbound
This paper cites TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.869220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d4e22964-e8c2-4887-8ec6-e5ed0a333a47 · outbound
This paper cites All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation All Models are Wrong, but Many are Useful: Learning a Variable’s Importance by Studying an Entire Class of Prediction Models Simultaneously
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.897720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca383077-ff78-4a2f-b9ad-72ef7a4d8272 · outbound
This paper cites Handling imbalanced medical datasets: review of a decade of research.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Handling imbalanced medical datasets: review of a decade of research
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 26cb0900-8f58-4934-bada-abf87c7da1bb · outbound
This paper cites Imbalanced data problem in machine learning: A review.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Imbalanced data problem in machine learning: A review
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.880595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d84f73e2-7d09-4fbe-a622-24cf502afdc8 · outbound
This paper cites Interpretable Machine Learning: A Guide for Making Black Box Models Explainable.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Interpretable Machine Learning: A Guide for Making Black Box Models Explainable
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.883027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b13bf7d-1bf7-4561-af10-a289a6a34993 · outbound
This paper cites Testing conditional independence in supervised learning algorithms.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Testing conditional independence in supervised learning algorithms
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.876218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4c74a450-3d52-49f9-a53e-3ce9f03bdef5 · outbound
This paper cites Identifying key predictors of appropriate discharge destinations for older inpatients in acute care: A scoping review.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Identifying key predictors of appropriate discharge destinations for older inpatients in acute care: A scoping review
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9b535996-e4a0-4cf5-adcd-346d316c3fc7 · outbound
This paper cites Inference for the Generalization Error.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Inference for the Generalization Error
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.844025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 757cede1-67a6-40d4-8a71-116a3eb2fff7 · outbound
This paper cites Relating the partial dependence plot and permutation feature importance to the data generating process.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Relating the partial dependence plot and permutation feature importance to the data generating process
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.859245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e0b6b967-7908-4041-8ac0-185f126ed02e · outbound
This paper cites Explainability of Machine Learning Models under Missing Data.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Explainability of Machine Learning Models under Missing Data
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf1d4b39-9e14-40d7-9a3f-22e3aa8d2103 · outbound
This paper cites The Impact of Missing Data Imputation on Model Performance and Explainability.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation The Impact of Missing Data Imputation on Model Performance and Explainability
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.894822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 36af5a89-f714-4164-9032-3a11d3e09c96 · outbound
This paper cites Imputation Uncertainty in Interpretable Machine Learning Methods.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Imputation Uncertainty in Interpretable Machine Learning Methods
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation aef2ce6e-29c1-463f-b59a-a02958dae11a · outbound
This paper cites mice: Multivariate imputation by chained equations in R.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation mice: Multivariate imputation by chained equations in R
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff47badd-d8ac-49ae-a47e-873cf07a8737 · outbound
This paper cites A Value for n-Person Games.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation A Value for n-Person Games
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.904609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c83d8085-5155-4696-b346-6544b9d57346 · outbound
This paper cites an unresolved cited work.
Improving post-operative discharge destination prediction of geriatric patients with generative data augmentation Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-05-21T19:15:31.892438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 859dae3d-2eea-49a5-a518-f92787eccff9 · outbound
This paper cites transfers.
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-21T19:15:31.890005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.