Paper Citation Record · LEDGER

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2507.08280.

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

pith.paper-citation-record.v1
2507.08280 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:31:53.619123Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:05:53.638212Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T20:11:10.193830Z

Reference resolution

39 of 39 outbound references displayed

verified exact3
verified fuzzy23
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4291577e-fb09-480a-a361-6796df3a89c2 · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.244029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 43ab5e24-7cb1-4e57-9391-0c4525203f1a · outbound

This paper cites Ehrtemporalvariability: delineating temporal data-set shifts in electronic health records.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Ehrtemporalvariability: delineating temporal data-set shifts in electronic health records

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.228542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 67df0f20-cca0-4a22-ab6a-0f3e8ceeb5e4 · outbound

This paper cites Domain adaptation under missingness shift.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Domain adaptation under missingness shift

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.213914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 921b37a3-563b-4d33-bab6-21a156071711 · outbound

This paper cites Domain Adaptation Under MNAR Missingness.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Domain Adaptation Under MNAR Missingness

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:31:53.864648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f251e708-55dc-4672-b17c-a2224c0af98a · outbound

This paper cites Managing dataset shift by adversarial validation for credit scoring.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Managing dataset shift by adversarial validation for credit scoring

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.199715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 471cb338-f014-41bf-b308-149b327061d9 · outbound

This paper cites Response rates, nonresponse bias, and data quality: results from a national survey of senior healthcare leaders.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Response rates, nonresponse bias, and data quality: results from a national survey of senior healthcare leaders

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.185855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 107a9219-654f-4741-83cd-fbca4c0afff1 · outbound

This paper cites Benchmarking distribution shift in tabular data with tableshift.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Benchmarking distribution shift in tabular data with tableshift

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.171132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 09cc57cb-1463-4117-91c5-6633ae23d2bc · outbound

This paper cites A review and suggestions for synthetic data generation strategies using deep generative models.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts A review and suggestions for synthetic data generation strategies using deep generative models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.155789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 96c7623d-1ab5-4690-8d00-77f90ca9a2ea · outbound

This paper cites Embeddings for Tabular Data: A Survey.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Embeddings for Tabular Data: A Survey

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:31:53.843334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e65ec71e-15c9-4f36-a766-efed9465cc64 · outbound

This paper cites SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:51.977787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d283152a-73c9-4216-948f-a4cb855b744f · outbound

This paper cites ReConTab: Regularized Contrastive Representation Learning for Tabular Data.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:31:53.805694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 60fe556c-0913-4a1d-8dd7-6107f54808f8 · outbound

This paper cites Switchtab: Switched autoencoders are effective tabular learners.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Switchtab: Switched autoencoders are effective tabular learners

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.140455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ecad1a18-bdde-42a6-b76f-6deebc26d435 · outbound

This paper cites Revisiting deep learning models for tabular data.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Revisiting deep learning models for tabular data

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.125720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3d9de762-0ded-4943-9372-cb2a49e6454f · outbound

This paper cites XTab: Cross-table Pretraining for Tabular Transformers.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts XTab: Cross-table Pretraining for Tabular Transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:52.302791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992be7d8-cc50-49c4-80e8-037e7cf04995 · outbound

This paper cites TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:52.459443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 569edd00-7888-44dc-b9b2-b9673ef152ca · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:52.523321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc3c1b1c-f961-44c5-87ca-878e3eed7da6 · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:52.669644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df469eb-c90c-46f3-add4-9f970aba6843 · outbound

This paper cites VIME: extending the success of self- and semi-supervised learning to tabular domain.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts VIME: extending the success of self- and semi-supervised learning to tabular domain

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.110948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 352659aa-af13-4112-97d6-0da7f7d73e01 · outbound

This paper cites UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:52.856693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b375ef-e45c-4ecc-8389-385d99cd6fb6 · outbound

This paper cites To predict or not to predict? proportionally masked autoencoders for tabular data imputation.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts To predict or not to predict? proportionally masked autoencoders for tabular data imputation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.096457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation bfc35636-cd9b-4f30-adce-23afd51a39ee · outbound

This paper cites Girshick.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Girshick

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.081142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7a0ff76a-e030-436e-8b4a-1b3e03c037c6 · outbound

This paper cites an unresolved cited work.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:31:54.064655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9f10f50e-359a-4d2e-874a-f1e529574bbd · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Representation Learning with Contrastive Predictive Coding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:53.216072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0139db06-5cab-4e73-b59e-08bac95b78b2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Adam: A Method for Stochastic Optimization

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:53.330700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a17000-cb1c-46fc-b5da-43295ca20c08 · outbound

This paper cites Dash: Semi-supervised learning with dynamic thresholding.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Dash: Semi-supervised learning with dynamic thresholding

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.050378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 70425319-a36e-414b-8fd9-2d821ccc5b03 · outbound

This paper cites Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.035412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 00edc2f9-c6d1-4763-8bdc-b3a6e82039ab · outbound

This paper cites Class-imbalanced semi-supervised learning with adaptive thresholding.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Class-imbalanced semi-supervised learning with adaptive thresholding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.020822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 78b7f757-66fb-4dc9-9ef0-1d88bc248104 · outbound

This paper cites Freematch: Self-adaptive thresholding for semi-supervised learning.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Freematch: Self-adaptive thresholding for semi-supervised learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:54.003914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 212f3f3e-20de-4704-a1b0-f333087b8b80 · outbound

This paper cites Attention is all you need.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Attention is all you need

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:53.573456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87827fbe-619f-4686-9633-5d15366bca7c · outbound

This paper cites Random forests.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Random forests

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:53.979827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7acbff0c-b85b-47d2-9d31-c7aa455bca6c · outbound

This paper cites Xgboost: A scalable tree boosting system.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Xgboost: A scalable tree boosting system

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:53.582025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55009f62-68fa-437d-ac9f-881b9988c552 · outbound

This paper cites Catboost: unbiased boosting with categorical features.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Catboost: unbiased boosting with categorical features

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:53.954774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4b047b3c-7236-43a3-b16c-5011099b3d1c · outbound

This paper cites o lkopf. Correcting sample selection bias by unlabeled data. In Bernhard Sch \.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts o lkopf. Correcting sample selection bias by unlabeled data. In Bernhard Sch \

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:53.939587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4bbdec71-411c-4fe7-9529-bbb77562c561 · outbound

This paper cites Covariate shift by kernel mean matching.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Covariate shift by kernel mean matching

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:53.924886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6863a4f3-1627-482e-b12c-5a4e4d9a43a1 · outbound

This paper cites Analysis of kernel mean matching under covariate shift.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Analysis of kernel mean matching under covariate shift

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:53.910401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c54019c7-1932-4ffa-a62c-983c47045d15 · outbound

This paper cites Domain-Adversarial Training of Neural Networks.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Domain-Adversarial Training of Neural Networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:53.605260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56ac970d-992b-48c7-88db-83635a917df8 · outbound

This paper cites Adversarial discriminative domain adaptation.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Adversarial discriminative domain adaptation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:53.894727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 64fadffd-5061-40cb-87fe-d543d49fa6a3 · outbound

This paper cites Learning semantic representations for unsupervised domain adaptation.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts Learning semantic representations for unsupervised domain adaptation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:31:53.880080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3977e31e-5c4d-43af-a015-19955dea95e6 · outbound

This paper cites An intuitive proof of the data processing inequality.

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts An intuitive proof of the data processing inequality

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T18:31:53.619123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d437d91b-cb17-4636-945f-9f9f91451eab · inbound

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems cites this paper.

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:08.700343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cdc04833-b95c-413d-93a9-f5e952461b08 · inbound

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems cites this paper.

LUCAS-MEGA: A Large-Scale Multimodal Dataset for Representation Learning in Soil-Environment Systems MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:57.463525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a17c51e3-b8b6-4796-9011-fd1fcb7f6a7a · inbound

Data Language Models: A New Foundation Model Class for Tabular Data cites this paper.

Data Language Models: A New Foundation Model Class for Tabular Data MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:10.200415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.