Paper Citation Record · LEDGER

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)

As of 14 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.08844.

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

pith.paper-citation-record.v1
2506.08844 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:03:46.005976Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

33 of 33 outbound references displayed

verified exact0
verified fuzzy19
unresolved12
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7eabe27-fcfc-4ff5-b5a8-67e3bce2d54c · outbound

This paper cites an unresolved cited work.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:03:49.905196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b13de49-7269-4f8d-a012-6096f2e71534 · outbound

This paper cites John Wiley & Sons, 2004.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) John Wiley & Sons, 2004

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:42.364269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18633361-a2fa-4225-8a28-04871754dcdc · outbound

This paper cites Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.Artificial intelligence in medicine, 142: 102587, 2023.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques.Artificial intelligence in medicine, 142: 102587, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:49.792470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 83cecd85-7fd0-49c6-9811-669e7585fdaa · outbound

This paper cites Nearest neighbor imputation for survey data.Journal of official statistics, 16 (2):113, 2000.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Nearest neighbor imputation for survey data.Journal of official statistics, 16 (2):113, 2000

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:49.685805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation de949727-7e8b-465d-ad38-fd870d6d1e8b · outbound

This paper cites Diffputer: Empowering diffusion models for missing data imputation.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Diffputer: Empowering diffusion models for missing data imputation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:49.576302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 94567766-0c9f-440a-bb83-0d4b3c77188a · outbound

This paper cites Remasker: Imputing tabular data with masked autoencoding.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Remasker: Imputing tabular data with masked autoencoding

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:49.463628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6326c5bd-b20a-491d-afe4-58010823b15e · outbound

This paper cites An experimental survey of missing data imputation algorithms.IEEE Transactions on Knowledge and Data Engineering, 35(7):6630–6650,.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) An experimental survey of missing data imputation algorithms.IEEE Transactions on Knowledge and Data Engineering, 35(7):6630–6650,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:49.324220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation daab4e9b-6024-4d4c-af30-72b695e612f3 · outbound

This paper cites Diffusion models for missing value imputation in tabular data.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Diffusion models for missing value imputation in tabular data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:49.178160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation abedba83-a046-4e93-bd8d-28c5372362cc · outbound

This paper cites Deep learning versus conventional methods for missing data imputation: A review and comparative study.Expert Systems with Applications, 227:120201, 2023.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Deep learning versus conventional methods for missing data imputation: A review and comparative study.Expert Systems with Applications, 227:120201, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:49.070892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 19d8ee72-9d93-40c1-a92c-7c571e2a0502 · outbound

This paper cites Hyperimpute: Generalized iterative imputation with automatic model selection.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Hyperimpute: Generalized iterative imputation with automatic model selection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:43.293748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f0220e-6d21-4921-9c5d-641af7c9ea5e · outbound

This paper cites Matrix completion and low-rank svd via fast alternating least squares.The Journal of Machine Learning Research, 16(1):3367–3402, 2015.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Matrix completion and low-rank svd via fast alternating least squares.The Journal of Machine Learning Research, 16(1):3367–3402, 2015

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:48.948484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 011d51a4-268e-4bb5-a859-e290d9ed5a1c · outbound

This paper cites Synthetic data for an imaginary country, full population, 2023, 2023.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Synthetic data for an imaginary country, full population, 2023, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:48.843063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b002886f-b3e6-4291-9788-66b6f24dbdad · outbound

This paper cites Gain: Missing data imputation using generative adversarial nets.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Gain: Missing data imputation using generative adversarial nets

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:43.641696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13121bac-bcb0-44ab-ad4b-af42cb65a2eb · outbound

This paper cites Deep learning with missing data.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Deep learning with missing data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:43.731311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a53fb7-d9a4-43e1-98d0-eb89419c7d38 · outbound

This paper cites mice: Multivariate imputation by chained equations in r.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) mice: Multivariate imputation by chained equations in r

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:43.865931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c769dd6f-a946-43af-a524-0a6aa45d982b · outbound

This paper cites Missforest—non-parametric missing value imputation for mixed-type data.Bioinformatics, 28(1):112–118, 2012.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Missforest—non-parametric missing value imputation for mixed-type data.Bioinformatics, 28(1):112–118, 2012

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:43.985054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f4c8dae-2fd5-4c17-9e04-77eb190ebf11 · outbound

This paper cites Miracle: Causally-aware imputation via learning missing data mechanisms.Advances in Neural Information Processing Systems, 34:23806– 23817, 2021.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Miracle: Causally-aware imputation via learning missing data mechanisms.Advances in Neural Information Processing Systems, 34:23806– 23817, 2021

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:48.738773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9af53f89-484b-418a-9b0c-47336c607b0a · outbound

This paper cites Missing data imputation using optimal transport.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Missing data imputation using optimal transport

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:44.185844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f390b6f5-6d75-45ee-ad51-429bb72e716e · outbound

This paper cites Transformed distribution matching for missing value imputation.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Transformed distribution matching for missing value imputation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:48.584683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ceef8919-0a98-4787-b1b1-1cb63d4e5487 · outbound

This paper cites Miwae: Deep generative modelling and imputation of incomplete data sets.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Miwae: Deep generative modelling and imputation of incomplete data sets

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:44.448343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc365fa0-8a3d-449b-a41b-4e5afd687c71 · outbound

This paper cites A self-attention-based imputation technique for enhancing tabular data quality.Data, 8(6):102, 2023.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) A self-attention-based imputation technique for enhancing tabular data quality.Data, 8(6):102, 2023

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:48.339393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 848d0136-a715-45eb-9a40-2ad6cb547651 · outbound

This paper cites Simple imputation rules for prediction with missing data: Theoretical guarantees vs.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Simple imputation rules for prediction with missing data: Theoretical guarantees vs

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:48.110892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f46809fb-b5a5-457f-8284-0213394ed2de · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:44.796199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 911218f8-03a2-4b09-ba3b-1be020b30dc7 · outbound

This paper cites REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:44.943130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee0b461-af81-4871-8ac3-eb1199b6c62a · outbound

This paper cites Attention mechanisms in deep learning: Towards explainable artificial intelligence.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Attention mechanisms in deep learning: Towards explainable artificial intelligence

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:47.914322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 852f4c43-5ddd-4fac-9474-6c822ddcaca9 · outbound

This paper cites Numerical data imputation: Choose knn over deep learning.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Numerical data imputation: Choose knn over deep learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:47.659828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ff052c7-0d2d-472f-8f6a-c8867e0a017c · outbound

This paper cites A comparison of imputation methods using machine learning models.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) A comparison of imputation methods using machine learning models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:47.462192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99bc258b-7d8d-4627-ae41-41085c295f12 · outbound

This paper cites Generating and imputing tabular data via diffusion and flow-based gradient-boosted trees.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Generating and imputing tabular data via diffusion and flow-based gradient-boosted trees

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:47.212323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 634dcdcd-966f-462a-8d0a-616d7f74c5f5 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:45.595779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72dc935d-68af-45ae-9add-3c819220a698 · outbound

This paper cites John Wiley & Sons, 2019.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) John Wiley & Sons, 2019

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:46.985074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a08b3dad-1b8d-4864-9333-4a4affe49f34 · outbound

This paper cites fake" survey questions created to collect the data. Features prefixed with.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) fake" survey questions created to collect the data. Features prefixed with

Reference 31

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T05:03:46.737932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2b5d76f-48e0-48ac-904d-a5c9d5f3f07b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:03:46.513519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0d320875-80eb-4c89-8d72-84cda68b9922 · outbound

This paper cites an unresolved cited work.

IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Unresolved cited work

Reference 2023

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T05:03:46.318931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.