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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.179457Z digest=sha256:55c5834b7095867d687f7a353c8cc33f4d7a503c858e258f06435f631d506c9f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.185791Z digest=sha256:fc778d064d00c0bd0008d331793e8c95ef31b38399a3d4a9528133a627ecec0a

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.191066Z digest=sha256:40f41536c158f80756698ebc5cb17d02675fdb4a191a48d8ce510e0d6bb70551

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.200259Z digest=sha256:0aef91ad0cf42d968cdd7ad7356c023c34f7f92d90aed6339aab8bae1e79d393

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.206237Z digest=sha256:c11f641cee9c292754213e7f58831c4e591810e363c532fabf3b31da6ba67d29

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.218174Z digest=sha256:626745163a6f794068dbdfe16d6298748351ed5761c4912a71c74f7a04394af7

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.223225Z digest=sha256:72382dad42711e4aa1581f8385f549825d5ebadf833e201db0e22fc01eaa9d09

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.233787Z digest=sha256:2369d5d32f6fa8668dacf3be6256d9605f35559b32d9d107e9613e9272d14652

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.239540Z digest=sha256:09d419daa7df5576c267dcb398756d185eddf173440ba5c1620271edaae36871

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.244956Z digest=sha256:534d8fee95b6aeaf28bdf452a5db4b3f4e99e96815bccc37f5441b295b05524a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.249953Z digest=sha256:23eddf5ee67dee23c939e360e744f6a8ce1dc7a10b428aff3029623482379a18

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.255563Z digest=sha256:863507dfd03f74ec2bde10bfe45ecf3b0181c0c94628ebf3dd4927ef3d2058f7

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.261446Z digest=sha256:ed1791b5af16e059439cdd268a07fdfc4c721b95c6f64d3a7136a6fcd897f77f

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.271288Z digest=sha256:1a7c9e12a59b23665e3c4a6d9e145dfd24045a29695248146de751f5d67cce8b

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.275965Z digest=sha256:c5e6c0292c0792747caeaf7c58c1a6ad88a962ebd549f1ff8c2beba4675d70a7

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.281196Z digest=sha256:ad333150d0c31c6e7398e22718b9491a2286d8e6222f748a59f3bdab875d06e1

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.286110Z digest=sha256:5eb6a1b2e5adade3d6a76612647a7188b83489c5ef0c12c735b9501fbc907aa3

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.291291Z digest=sha256:ae62d76b8f97e9413dab9c35885440d8b824daf761540e2d468f405c7fd79fa7

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.297513Z digest=sha256:557d0077b4834039b97fffa777969027cff9644478928f68aeee207b7e8ff4f0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.302392Z digest=sha256:ea3f0ec167e6824cd3d3dceb91aaaf2e3f5270501d349fe902bba1927b62a28e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.307367Z digest=sha256:885f911b84ea83765cc525bf66c93dc064fe0e747cfeecab7582a1812add5ccc

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.313580Z digest=sha256:3de9a212e3725809eb4ee0d68737876b0040c4270cf2ebbcc6bab26ebc6fea2c

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.318415Z digest=sha256:3c8518ce3670031d1450288b462bd82ab311819d11fed98546107386aa35b2d6

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.323388Z digest=sha256:e447bee82110f016a94b35ee291982136eba8c52d77d895c83dc2a0e9002bebb

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.328610Z digest=sha256:9be1b4086b4675d2ca039121ab85da88c4d6a4d3ae297dd86bfca1fe187d3589

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.333435Z digest=sha256:c89105779fe5bf787f5b8c18089e3c4cef5f1c764161dc06d0dc1ad10945610a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.344092Z digest=sha256:b5d0a34445a34af895d02dbaf971152476c5215324bfbe3156c4ebbeeec4d77e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.349909Z digest=sha256:6843765ea3c88e84532caab165c8427454183ffae3012383dc4d4ce105da9a5a

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.354827Z digest=sha256:a4eb8259c87933777facf61a92659dc393ff504f3f0db88612d8fa0d41be008e

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.359722Z digest=sha256:5036ba99f99fe04f13f09858bdc9293c93b9b4e0a84f68386e6481f561349444

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.365057Z digest=sha256:8880cbb289418b74c933fc3507d2f0a73808017d32fc47aeb5abae3a9e94d6c1

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.370579Z digest=sha256:6a03a7d6253aea52dca84213d085cf47278909808d118d400be6ac67bcb3f127

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.381190Z digest=sha256:3b7cc91403bf0128d560fcd9caeff25c2a582956e2c5e984abef5bd515a18940

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.386268Z digest=sha256:6d518fcecf02111048e2400cc88ed31fea56c58d232c07e7794c27e2093080d0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.391264Z digest=sha256:193e19d1be4248e19293f3735894ef3fbc10ef7079999e6182b9237a4f60a5d7

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.396833Z digest=sha256:5baace67f464e3b98e23aa8156e6da587ad175b9a712d7a864a0137da5526571

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:39:37.401618Z digest=sha256:93600ce1d51b805e6a35963b6761c55d51686d936364ea641285aa310aa6b517

Pith citing papers

No inbound Pith citation observations are available.