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Paper Citation Record · LEDGER

Markov Missing Graph: A Graphical Approach for Missing Data Imputation

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2509.03410.

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

pith.paper-citation-record.v1
2509.03410 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:39:37.401618Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy31
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a2f721b-82a7-4d53-a66f-00fa42021c99 · outbound

This paper cites Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.239077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.179457Z digest=sha256:04808a7485e2da0d514fc267155b553433e1bfc2e603702bf6784530dda3977c

Observation e3196fa8-b1ec-4237-809a-dfd272cfb02f · outbound

This paper cites Horton, and Chiu-Hsieh Hsu.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Horton, and Chiu-Hsieh Hsu

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.220730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.185791Z digest=sha256:e560129c464dfc8faf2e107bde499bebecd46229ab0e6b2953beae4453a790b3

Observation 43a23b17-5734-44e0-b842-b2fe995e4223 · outbound

This paper cites an unresolved cited work.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:39:38.201098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.191066Z digest=sha256:99e009068cf5a138a9e7b4155961c3f73c4c9ea07cdbed6e3609bb796e100fac

Observation 00e69fb0-e410-4264-9a59-b906d6b964a8 · outbound

This paper cites Burgette and Jerome P.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Burgette and Jerome P

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.183421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.200259Z digest=sha256:d1a0d008d969079f065712e48e75a07821c11a4c4b3a656c620aadacdb9dfe73

Observation 62c784d7-ab33-4b76-a204-aa116fc5ea7d · outbound

This paper cites Pattern graphs: a graphical approach to nonmonotone missing data.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Pattern graphs: a graphical approach to nonmonotone missing data

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.166921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.206237Z digest=sha256:b306fd18ae1c6714da375b1eb58d384ed0ea52bd7dc02e66c4cb81a5e17df936

Observation 5a226a1f-2053-43ec-bf2f-d1bd3b52d0d2 · outbound

This paper cites Nonparametric Pattern-Mixture Models for Inference with Missing Data.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Nonparametric Pattern-Mixture Models for Inference with Missing Data

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T16:39:37.212098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:39:37.212098Z digest=sha256:fffe9fc81bbe7576eb928e90097206288e3bdd3d75411557fc586e205ae24fff

Observation 4f585b9f-f09b-4102-924b-09f5b348eaa5 · outbound

This paper cites A survey on missing data in machine learning.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation A survey on missing data in machine learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.149691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.218174Z digest=sha256:ded5ab38bd8f101b9e317ee69659113f5d48a8793b0d38fe58e2765fd0dd1ddb

Observation cb0b5b74-0853-4dab-81b9-6f6302d0a131 · outbound

This paper cites Extended bayesian information criteria for gaussian graphical models.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Extended bayesian information criteria for gaussian graphical models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.130562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.223225Z digest=sha256:c69dc0bc8eea64d1479958ed02ac5bd87c5bba00612f2ac8d3970b448d1feb23

Observation ea436e49-7256-4c92-8e33-cb8b449ba8d2 · outbound

This paper cites Sparse inverse covariance estimation with the graphical lasso.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Sparse inverse covariance estimation with the graphical lasso

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T16:39:37.229069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:39:37.229069Z digest=sha256:3243595dbfa501e923d578d8f2216ca891c0b362d5a5e088585bb8397bb2e994

Observation 991672db-cdf0-4cd3-b0fb-0bb270dcf853 · outbound

This paper cites MIDA : Multiple imputation using denoising autoencoders.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation MIDA : Multiple imputation using denoising autoencoders

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.100485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.233787Z digest=sha256:bd06b744fb6aeff97a124c45c30941eba2bdc5850434330e6dd0337b6f35a022

Observation d510ed4e-23ac-465d-beff-dfd46ef69014 · outbound

This paper cites Johnson, David K.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Johnson, David K

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.079370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 04ef8c51-5b15-4366-8ad7-1b3bebad1ef3 · outbound

This paper cites Tchetgen Tchetgen.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Tchetgen Tchetgen

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.244956Z digest=sha256:06c43d54bc7144a964dc62b179ef1c1debbf15b58219088e395a48e5ebbd53e7

Observation 080b4969-c7d1-43cf-8ef7-38e23b2eb9fb · outbound

This paper cites an unresolved cited work.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:39:38.044503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.249953Z digest=sha256:635a3ea9709701f32d15bbb6b5d63f43fcd6c9afcec8d842981fc57414467882

Observation 0cd17c8a-b2e6-4731-9722-91f7ff756cdc · outbound

This paper cites Tchetgen Tchetgen.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Tchetgen Tchetgen

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.026153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.255563Z digest=sha256:0dc1693cacb9726d787fa3ce17aa41b847a5f2f62314c25d3185bade1c1b664a

Observation a31f4367-6575-4454-97c2-710a90ebac4a · outbound

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

Markov Missing Graph: A Graphical Approach for Missing Data Imputation MIWAE : Deep generative modelling and imputation of incomplete data sets

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:38.008985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.261446Z digest=sha256:d47006320179daf73fa9ef8a4dec9d70f6110283d44c63fc447e3b4e856ee689

Observation 8f613198-bcd7-4239-bf4c-77f92762bd80 · outbound

This paper cites High-dimensional graphs and variable selection with the lasso.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation High-dimensional graphs and variable selection with the lasso

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T16:39:37.266303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:39:37.266303Z digest=sha256:e65240ca7ef30fd73aa1e586ce370c3bf1215db65a2d4dfe0f3cdc3103c53e07

Observation 2c87f65a-b9e7-4aa2-a640-13248b172146 · outbound

This paper cites On the testability of models with missing data.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation On the testability of models with missing data

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.977836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.271288Z digest=sha256:6f81c58e772881af799dde69e5be9e9b14cb1b1ad5e6f6167640c064567fbdfa

Observation cdd49cf6-ad5d-483d-9dde-858c1e652a88 · outbound

This paper cites Graphical models for processing missing data.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Graphical models for processing missing data

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.957111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.275965Z digest=sha256:aa361f98ac912313a10f2e12837271b8c6edf5fe1ad3a315db2e4eb88db2e684

Observation 6d0546bf-a0d6-4df2-9e6e-7397bca84dec · outbound

This paper cites Graphical models for inference with missing data.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Graphical models for inference with missing data

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.939781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.281196Z digest=sha256:67874b6fea426c62e4bd6bb2f9f368af2d57b54c8d34214fe93a678b10ca46f7

Observation 5caf825f-6ccd-48ef-9658-0a75d24ca86f · outbound

This paper cites Kenward, and Peter J.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Kenward, and Peter J

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.922527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.286110Z digest=sha256:3981e23312f55a4cbb922be983b47185cc89220f194091d71e84eebcc7b98966

Observation 15872a90-3d45-4888-97b3-c577a3bdcd30 · outbound

This paper cites Handbook of Missing Data Methodology.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Handbook of Missing Data Methodology

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.905844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.291291Z digest=sha256:0f532a27684b194d3eb46a13235a0b1e08322e38b26d338d4c96595c30fd541c

Observation 587b2749-d9a7-4871-96e4-68b4f84a08c2 · outbound

This paper cites Murray and Jerome P.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Murray and Jerome P

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.890213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.297513Z digest=sha256:cca0ef8628f1062b21fb11ffeb1482a33dc2be40fe11c938f01de87f95c5980b

Observation ba9ccce6-f04a-49fa-ae22-31b022ab6477 · outbound

This paper cites Full law identification in graphical models of missing data: Completeness results.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Full law identification in graphical models of missing data: Completeness results

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.874028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.302392Z digest=sha256:13348a1d7ea498dc3809b96fb606f040351aef969ce07afdaa03786d5118ef38

Observation ed190f99-93ec-4192-881c-5ec2983a03a5 · outbound

This paper cites Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Recursive Equations For Imputation Of Missing Not At Random Data With Sparse Pattern Support

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:39:37.552142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.307367Z digest=sha256:944e7644967a99e5f73aadd7782db29ec1ad41833cbed00d4a4696a441e5207b

Observation 2d21ffe0-8a17-464e-8f62-210404c96570 · outbound

This paper cites Raghunathan, James M.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Raghunathan, James M

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.856887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.313580Z digest=sha256:da19888c1a760c08a7672b0c15c7a1c60c1799e0574f780ee554e4f82df5563f

Observation b3e56dd0-cd14-431f-90fd-eb66271b74a7 · outbound

This paper cites an unresolved cited work.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:39:37.834632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.318415Z digest=sha256:8c2a3e010556256ef5de4646be1d6b038ee3c6b42a48f351fd9d9321d3ac7d73

Observation e58f0461-4601-4c59-aa90-9b794767da3c · outbound

This paper cites an unresolved cited work.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:39:37.817108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.323388Z digest=sha256:7d9beb1cc2283747dd998f86504d3246bdf241386aac0348165343c77ab8e0b0

Observation 5fc571d8-d59e-4c45-bbd8-c2501ece4e0c · outbound

This paper cites Consistent estimation of functions of data missing non-monotonically and not at random.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Consistent estimation of functions of data missing non-monotonically and not at random

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.799041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.328610Z digest=sha256:0e8973c4b33fe40596dd5dc53100beae9119abb4993cb67610e290d40da99fa7

Observation a1833f9f-9f14-4f82-8a16-f7f163ae684c · outbound

This paper cites Missing data as a causal and probabilistic problem.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Missing data as a causal and probabilistic problem

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.781665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.333435Z digest=sha256:3f6eff10f5c6559100c3fbcdecb03c440a320aa4bd6ab3f393d7e78bb185f355

Observation 9bdd91ac-578a-4452-bac4-2a2f74817bfc · outbound

This paper cites Neural Graphical Models.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Neural Graphical Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T16:39:37.338740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:39:37.338740Z digest=sha256:160d65a25e4e5725a716f63c633907b9155e19a633fea6dc6748032227b81fcc

Observation f5516d4b-1817-4325-8e36-5444954258b4 · outbound

This paper cites Stekhoven and Peter B \"u hlmann.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Stekhoven and Peter B \"u hlmann

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.762460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.344092Z digest=sha256:bd6573ff02c5e8e32fc1b92970a8476b28776a179cb021710ffaae7efce9601d

Observation 7bd13ec9-d6b9-4da8-b96b-4a659f7be71b · outbound

This paper cites Modeling missing at random neuropsychological test scores using a mixture of binomial product experts.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Modeling missing at random neuropsychological test scores using a mixture of binomial product experts

Reference 32

Resolution
verified exact
raw_fallback, observed 2026-08-15T16:39:37.508603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.349909Z digest=sha256:a496952165830625fe02d9ae6b49a1bb30102d9e7b1768df6e2c08d9a554e404

Observation 5ab74765-c0c6-4718-972a-849311d020d4 · outbound

This paper cites Tchetgen Tchetgen, Linbo Wang, and BaoLuo Sun.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Tchetgen Tchetgen, Linbo Wang, and BaoLuo Sun

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.745483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.354827Z digest=sha256:49d988faddf3cc98ca30bf38c2c3a9e4bb9087c7fa3fe5ecfe274c2c1f65b5df

Observation 1d2c4270-5d82-4308-b502-908ea2e27afe · outbound

This paper cites Missing at random in graphical models.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Missing at random in graphical models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.727749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.359722Z digest=sha256:76fc05c18fdb29284a790a50f1566912cc20fc52d4329b492e356c5e5cf4ba37

Observation fb2c52b2-65bc-455d-b19c-e57e311d4c2d · outbound

This paper cites Flexible Imputation of Missing Data.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Flexible Imputation of Missing Data

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.708269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.365057Z digest=sha256:d078ab718d1b9ad8a4e4aa6644532bd96adc6bd52286b637828cffaaa72e25f5

Observation 53245491-023e-427f-ad6a-f34e7146b78c · outbound

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

Markov Missing Graph: A Graphical Approach for Missing Data Imputation mice: Multivariate imputation by chained equations in R

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.689402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.370579Z digest=sha256:f068f9bcfe7437031373696e97637b91d7e6a38940d7ac43a6cd48f08e87022a

Observation c5643006-baaa-4d00-b326-149891f94a66 · outbound

This paper cites Asymptotic statistics, volume 3.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Asymptotic statistics, volume 3

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T16:39:37.376129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:39:37.376129Z digest=sha256:44c3536ba4fa1b66894c3caecfee1fa7d46de389ca0b0402c19286948707b421

Observation 8b212129-13c4-4608-9fdc-0d7749be6651 · outbound

This paper cites Kenward, and Geert Molenberghs.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Kenward, and Geert Molenberghs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.658692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.381190Z digest=sha256:aaa89cfd681a982c3cc894099eb8f8b3bd6f3fef1a652aad57a763ed2d4e7f08

Observation a01f42de-be4b-4730-9a1b-549392f270c5 · outbound

This paper cites Dodge, Merilee Teylan, Steven Ferris, Felicia C.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Dodge, Merilee Teylan, Steven Ferris, Felicia C

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.641033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.386268Z digest=sha256:fc17af30b5be443ba32a39e265473d85d8ac89ce220f0df79e3c86cb257a7580

Observation cf6a9f87-39f0-40ef-b587-af5136f9cec7 · outbound

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

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Gain: Missing data imputation using generative adversarial nets

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.622770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.391264Z digest=sha256:8ca910407d859d64945d9c7d233a1ca897a0d03cfa8bd48f3d4b2dec2e6e246f

Observation 1d8766ee-71fc-4b1c-9c57-e9c3f7424abe · outbound

This paper cites Handling missing data with graph representation learning.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Handling missing data with graph representation learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.604421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.396833Z digest=sha256:9e0486a7e435bd13413c6e21be2303d2cdec620ea7defc89776e7fbaf745f1d0

Observation 52435b92-885e-44ec-a9fb-a3030a233623 · outbound

This paper cites Little, and John D.

Markov Missing Graph: A Graphical Approach for Missing Data Imputation Little, and John D

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:39:37.587577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.401618Z digest=sha256:8ce892dfeb1f7fa4f18905b2859a6526ad719cf26d3cc4fb385f71c77e69dec9

Pith citing papers

No inbound Pith citation observations are available.