Paper Citation Record · LEDGER

Representation Learning for Tabular Data: A Comprehensive Survey

As of 20 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 14 inbound Pith citation observations for arXiv:2504.16109.

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

pith.paper-citation-record.v1
2504.16109 v1

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:15:33.262599Z

measured 114 of 114 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:42.703188Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 300 outbound references displayed

verified exact4
verified fuzzy0
unresolved96
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 19be6324-a850-40e2-aca1-a77e2836daee · outbound

This paper cites Kovalerchuk and E.

Representation Learning for Tabular Data: A Comprehensive Survey Kovalerchuk and E

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.834002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9336b47e-6699-4fb2-a61d-68f666ff7ea0 · outbound

This paper cites Early prediction of circulatory failure in the intensive care unit using machine learning,.

Representation Learning for Tabular Data: A Comprehensive Survey Early prediction of circulatory failure in the intensive care unit using machine learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.839308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66867da7-5fb2-40b7-929d-2e785e24b0b6 · outbound

This paper cites Educational data mining: a review of the state of the art,.

Representation Learning for Tabular Data: A Comprehensive Survey Educational data mining: a review of the state of the art,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.843738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb84ee66-7175-41b1-bd98-8175fa6e06c0 · outbound

This paper cites Data mining methods for recommender systems,.

Representation Learning for Tabular Data: A Comprehensive Survey Data mining methods for recommender systems,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.848228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21963f1-47ce-4357-8c0d-40f8cbf91163 · outbound

This paper cites Diagnosis of multiple cancer types by shrunken centroids of gene expression,.

Representation Learning for Tabular Data: A Comprehensive Survey Diagnosis of multiple cancer types by shrunken centroids of gene expression,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.852693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5ff86ec-ea64-4c6a-b17f-af7977a56abd · outbound

This paper cites Applications of support vector machines in chemistry,.

Representation Learning for Tabular Data: A Comprehensive Survey Applications of support vector machines in chemistry,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.856962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49d6aab1-740d-41f5-92ea-289feeda134b · outbound

This paper cites An empirical comparison of machine learning models for time series forecasting,.

Representation Learning for Tabular Data: A Comprehensive Survey An empirical comparison of machine learning models for time series forecasting,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.861634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ded51347-ccd6-4006-8a52-80c532472f6b · outbound

This paper cites Towards objective probabalistic climate forecasting,.

Representation Learning for Tabular Data: A Comprehensive Survey Towards objective probabalistic climate forecasting,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.866216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ceffb0b-5176-4380-8677-594fcaf92c77 · outbound

This paper cites Deep neural networks and tabular data: A survey,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep neural networks and tabular data: A survey,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.870367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a52bf3ff-cb11-4725-b385-a26b6eb5d32f · outbound

This paper cites an unresolved cited work.

Representation Learning for Tabular Data: A Comprehensive Survey Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.875295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa518d4-fb7b-4b94-9f9a-7f0b4ea602f7 · outbound

This paper cites Differential Privacy and Machine Learning: a Survey and Review.

Representation Learning for Tabular Data: A Comprehensive Survey Differential Privacy and Machine Learning: a Survey and Review

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.879840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08a7e285-2b97-4d54-8da9-c050b9f0cc2b · outbound

This paper cites Do we need hundreds of classifiers to solve real world classification problems?.

Representation Learning for Tabular Data: A Comprehensive Survey Do we need hundreds of classifiers to solve real world classification problems?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.885273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56551d5b-cf6c-4188-a626-b236da4f5546 · outbound

This paper cites Bishop, Pattern recognition and machine learning.

Representation Learning for Tabular Data: A Comprehensive Survey Bishop, Pattern recognition and machine learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.889483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a15a3da9-7021-4633-87a7-1cd2aec76efd · outbound

This paper cites Hastie, R.

Representation Learning for Tabular Data: A Comprehensive Survey Hastie, R

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.893698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cdf214e-01f9-47e8-b527-41771c3cb780 · outbound

This paper cites Mohri, A.

Representation Learning for Tabular Data: A Comprehensive Survey Mohri, A

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.898085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e73beed1-459d-464a-8209-387b336fc743 · outbound

This paper cites an unresolved cited work.

Representation Learning for Tabular Data: A Comprehensive Survey Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.901927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b417188-a01e-4e9e-a3e0-504348f7bbc5 · outbound

This paper cites Deep learning for computer vision: A brief review,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep learning for computer vision: A brief review,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.906060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0ac96bc-a55e-41ba-a51c-b949e71e253c · outbound

This paper cites A survey of the usages of deep learning for natural language processing,.

Representation Learning for Tabular Data: A Comprehensive Survey A survey of the usages of deep learning for natural language processing,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.910261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743d1de8-81e2-47b5-86b7-9db5794aa15b · outbound

This paper cites Representation learning: A review and new perspectives,.

Representation Learning for Tabular Data: A Comprehensive Survey Representation learning: A review and new perspectives,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.914276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4013c4ff-deb2-4524-92b2-406d1cd46312 · outbound

This paper cites Deep learning,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep learning,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.918238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3ace6a0-bb98-4153-9fe3-61d4b1e7697f · outbound

This paper cites Goodfellow, Y.

Representation Learning for Tabular Data: A Comprehensive Survey Goodfellow, Y

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.922303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b62f690-cdfa-484d-a181-a4ac009242fa · outbound

This paper cites Decaf: A deep convolutional activation feature for generic visual recognition,.

Representation Learning for Tabular Data: A Comprehensive Survey Decaf: A deep convolutional activation feature for generic visual recognition,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.926379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0719bf5c-2d4a-4821-b162-86b83d82c811 · outbound

This paper cites Reducing the dimension- ality of data with neural networks,.

Representation Learning for Tabular Data: A Comprehensive Survey Reducing the dimension- ality of data with neural networks,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.930661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9cfebd9-5d8c-49e2-b7a3-4b8095f0c4e3 · outbound

This paper cites Deep learning via semi- supervised embedding,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep learning via semi- supervised embedding,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.934778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402fd8ab-2bdf-4405-b687-f39382a977f1 · outbound

This paper cites Learning a parametric embedding by preserving local structure,.

Representation Learning for Tabular Data: A Comprehensive Survey Learning a parametric embedding by preserving local structure,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.938854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd5b310f-6244-4ad5-ae85-269ba50a4145 · outbound

This paper cites Deep supervised t-distributed embedding,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep supervised t-distributed embedding,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.942912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82e5ebc9-ce86-4790-a7c7-e01d65515ffa · outbound

This paper cites Deep learning over multi-field categorical data - - A case study on user response prediction,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep learning over multi-field categorical data - - A case study on user response prediction,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.947075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad5ee653-80c5-411b-8f80-c91572043b0c · outbound

This paper cites Wide & deep learning for recommender systems,.

Representation Learning for Tabular Data: A Comprehensive Survey Wide & deep learning for recommender systems,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.951149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b54a1735-6e82-4498-bcda-85abe7e19db4 · outbound

This paper cites an unresolved cited work.

Representation Learning for Tabular Data: A Comprehensive Survey Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.955275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 817e7e70-b833-43fc-95e2-95a7108c3159 · outbound

This paper cites Recommendation systems: Principles, methods and evaluation,.

Representation Learning for Tabular Data: A Comprehensive Survey Recommendation systems: Principles, methods and evaluation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.959272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66778966-9957-4c77-972a-3e94ec9b84ae · outbound

This paper cites Deep state space models for time series forecasting,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep state space models for time series forecasting,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.964080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90831d8e-13af-4a26-84a8-8b34be446035 · outbound

This paper cites Time-series forecasting with deep learning: a survey,.

Representation Learning for Tabular Data: A Comprehensive Survey Time-series forecasting with deep learning: a survey,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.968530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44291811-5b00-43fd-b132-6e6b355c3b06 · outbound

This paper cites Revisit- ing deep learning models for tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey Revisit- ing deep learning models for tabular data,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.972775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 161853ff-3c2d-42b7-9c2f-349b2cc76eea · outbound

This paper cites Better by default: Strong pre-tuned mlps and boosted trees on tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey Better by default: Strong pre-tuned mlps and boosted trees on tabular data,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.977001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0a49a6e-68b5-46dd-a8c7-256c8516a52f · outbound

This paper cites Revisiting nearest neighbor for tabular data: A deep tabular baseline two decades later,.

Representation Learning for Tabular Data: A Comprehensive Survey Revisiting nearest neighbor for tabular data: A deep tabular baseline two decades later,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.981133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c246d9b-7ae3-4f7d-9035-c10511fd5373 · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data?.

Representation Learning for Tabular Data: A Comprehensive Survey Why do tree-based models still outperform deep learning on typical tabular data?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.985123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1888dfda-5a8b-4c84-8dcc-73162a9fab32 · outbound

This paper cites Tabular data: Deep learning is not all you need,.

Representation Learning for Tabular Data: A Comprehensive Survey Tabular data: Deep learning is not all you need,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.989412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ae3727-7b70-4e5f-93b8-582d7ca82707 · outbound

This paper cites An inductive bias for tabular deep learning,.

Representation Learning for Tabular Data: A Comprehensive Survey An inductive bias for tabular deep learning,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.993589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca6b8956-6779-48a0-8934-3f544180a01f · outbound

This paper cites When do neural nets outperform boosted trees on tabular data?.

Representation Learning for Tabular Data: A Comprehensive Survey When do neural nets outperform boosted trees on tabular data?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:32.997781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff620d0-e12f-43d1-9161-fec877d42c5a · outbound

This paper cites Learning multiple local metrics: Global consideration helps,.

Representation Learning for Tabular Data: A Comprehensive Survey Learning multiple local metrics: Global consideration helps,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.001929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d38b72-4284-4564-bef8-f26426fcb6b0 · outbound

This paper cites Turning the tables: Biased, imbalanced, dynamic tabular datasets for ML evaluation,.

Representation Learning for Tabular Data: A Comprehensive Survey Turning the tables: Biased, imbalanced, dynamic tabular datasets for ML evaluation,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.006295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b5e0d87-cbbb-4117-8c01-721c7e0b27ce · outbound

This paper cites Towards quantifying the effect of datasets for benchmarking: A look at tabular machine learning,.

Representation Learning for Tabular Data: A Comprehensive Survey Towards quantifying the effect of datasets for benchmarking: A look at tabular machine learning,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.010524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c2aa57-3b46-40bd-b792-5e74c53b4074 · outbound

This paper cites A data-centric perspective on evaluating machine learn- ing models for tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey A data-centric perspective on evaluating machine learn- ing models for tabular data,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.014668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a675195-8fd2-488b-a1fc-24f29d9331ab · outbound

This paper cites A closer look at deep learning on tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey A closer look at deep learning on tabular data,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.018770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98d27abb-3848-4280-a1ba-80a07aebb0f7 · outbound

This paper cites On embeddings for numerical features in tabular deep learning,.

Representation Learning for Tabular Data: A Comprehensive Survey On embeddings for numerical features in tabular deep learning,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.023050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c01744-ee71-4676-bc78-5684a2e40316 · outbound

This paper cites Subtab: Subsetting features of tabular data for self-supervised representation learn- ing,.

Representation Learning for Tabular Data: A Comprehensive Survey Subtab: Subsetting features of tabular data for self-supervised representation learn- ing,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.027102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce22218-ec52-470a-a81f-c497636c7a6c · outbound

This paper cites Scarf: Self-supervised contrastive learning using random feature corruption,.

Representation Learning for Tabular Data: A Comprehensive Survey Scarf: Self-supervised contrastive learning using random feature corruption,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.031520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 072897f2-26c8-48fd-be61-4d9ed9703ec7 · outbound

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

Representation Learning for Tabular Data: A Comprehensive Survey VIME: extending the success of self- and semi-supervised learning to tabular domain,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.035749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abcd093e-387a-45a7-a150-b331989367ad · outbound

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

Representation Learning for Tabular Data: A Comprehensive Survey Switchtab: Switched autoencoders are effective tabular learners,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.039824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0287b6ec-7f3d-4698-aeec-5d0656632360 · outbound

This paper cites Well-tuned simple nets excel on tabular datasets,.

Representation Learning for Tabular Data: A Comprehensive Survey Well-tuned simple nets excel on tabular datasets,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.043899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9adfeb-c139-41bc-841e-90e65291f39b · outbound

This paper cites Deep & cross network for ad click predictions,.

Representation Learning for Tabular Data: A Comprehensive Survey Deep & cross network for ad click predictions,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.047916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b54445-4974-42c5-8659-5a88347a921f · outbound

This paper cites Self- normalizing neural networks,.

Representation Learning for Tabular Data: A Comprehensive Survey Self- normalizing neural networks,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.052076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76e642a7-f8a9-4ab0-bb7b-10d6d0b28818 · outbound

This paper cites Tabnn: A universal neural network solution for tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey Tabnn: A universal neural network solution for tabular data,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.056277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36daed71-4c99-415e-89de-a652c94bbdb3 · outbound

This paper cites DCN V2: improved deep & cross network and practical lessons for web-scale learning to rank systems,.

Representation Learning for Tabular Data: A Comprehensive Survey DCN V2: improved deep & cross network and practical lessons for web-scale learning to rank systems,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.060284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a6de93-e4f7-4b70-9bf7-46a5885d46a5 · outbound

This paper cites Danets: Deep abstract networks for tabular data classification and regression,.

Representation Learning for Tabular Data: A Comprehensive Survey Danets: Deep abstract networks for tabular data classification and regression,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.065325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e314ab8f-1b2c-4d8c-81b0-681de0640d79 · outbound

This paper cites Tabcaps: A capsule neural network for tabular data classification with bow routing,.

Representation Learning for Tabular Data: A Comprehensive Survey Tabcaps: A capsule neural network for tabular data classification with bow routing,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.069478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 616309ba-15ce-44e4-b045-adf27e2589c2 · outbound

This paper cites Team up gbdts and dnns: Advancing efficient and effective tabular prediction with tree-hybrid mlps,.

Representation Learning for Tabular Data: A Comprehensive Survey Team up gbdts and dnns: Advancing efficient and effective tabular prediction with tree-hybrid mlps,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.073565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6967711b-56dc-489e-abd9-532661add3d8 · outbound

This paper cites Bishop: Bi-directional cellular learning for tabular data with generalized sparse modern hopfield model,.

Representation Learning for Tabular Data: A Comprehensive Survey Bishop: Bi-directional cellular learning for tabular data with generalized sparse modern hopfield model,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.077526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7e4a8a-25f2-47a9-b667-56d52e190c18 · outbound

This paper cites Gradient Boosting Neural Networks: GrowNet.

Representation Learning for Tabular Data: A Comprehensive Survey Gradient Boosting Neural Networks: GrowNet

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.081523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a2a57b1-1378-4978-91cd-8cfc5c3d4fed · outbound

This paper cites Neural oblivious decision ensembles for deep learning on tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey Neural oblivious decision ensembles for deep learning on tabular data,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.085807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 545803e8-ce49-40c2-b29f-7bbed964edc5 · outbound

This paper cites NODE-GAM: neural generalized additive model for interpretable deep learning,.

Representation Learning for Tabular Data: A Comprehensive Survey NODE-GAM: neural generalized additive model for interpretable deep learning,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.089942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8b4ff49-faab-4c35-be08-9181d4e76b7d · outbound

This paper cites Autoint: Automatic feature interaction learning via self-attentive neural networks,.

Representation Learning for Tabular Data: A Comprehensive Survey Autoint: Automatic feature interaction learning via self-attentive neural networks,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.094236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b68863-dbe9-40ca-a2b2-fbd3b0eb6027 · outbound

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

Representation Learning for Tabular Data: A Comprehensive Survey TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.098608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 374b1fc7-8683-44c7-a113-291ad174e094 · outbound

This paper cites Unlocking the Transferability of Tokens in Deep Models for Tabular Data.

Representation Learning for Tabular Data: A Comprehensive Survey Unlocking the Transferability of Tokens in Deep Models for Tabular Data

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.102920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a524c3-f089-40df-b0a1-632697adec8a · outbound

This paper cites Can a deep learning model be a sure bet for tabular prediction?.

Representation Learning for Tabular Data: A Comprehensive Survey Can a deep learning model be a sure bet for tabular prediction?

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.107254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1af91adf-f1f1-4406-949b-7072e81b2a8e · outbound

This paper cites Tangos: Regularizing tabular neural networks through gradient orthogonalization and specialization,.

Representation Learning for Tabular Data: A Comprehensive Survey Tangos: Regularizing tabular neural networks through gradient orthogonalization and specialization,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.111319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b57157-f34a-4b61-b9f6-fbc6b5958f0e · outbound

This paper cites Ptarl: Prototype-based tabular representation learning via space calibration,.

Representation Learning for Tabular Data: A Comprehensive Survey Ptarl: Prototype-based tabular representation learning via space calibration,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.115211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f8bba6-bc8d-4577-9b56-0f68f5a80682 · outbound

This paper cites DNNR: differential nearest neighbors regression,.

Representation Learning for Tabular Data: A Comprehensive Survey DNNR: differential nearest neighbors regression,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.119044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f021abfb-6cc6-4019-8967-95908c51cfff · outbound

This paper cites Tabr: Tabular deep learning meets nearest neighbors in 2023,.

Representation Learning for Tabular Data: A Comprehensive Survey Tabr: Tabular deep learning meets nearest neighbors in 2023,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.122948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4944094-7702-47ef-96ec-a5c38f4b0296 · outbound

This paper cites SAINT: Improved neural networks for tabular data via row attention and contrastive pre-training,.

Representation Learning for Tabular Data: A Comprehensive Survey SAINT: Improved neural networks for tabular data via row attention and contrastive pre-training,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.126912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b39fc7-3e3c-4885-9720-00c64b7cfe7c · outbound

This paper cites Revisiting Pretraining Objectives for Tabular Deep Learning.

Representation Learning for Tabular Data: A Comprehensive Survey Revisiting Pretraining Objectives for Tabular Deep Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.131183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ba5feca-45fb-48fe-9a65-9c4377ea78ca · outbound

This paper cites TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns.

Representation Learning for Tabular Data: A Comprehensive Survey TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:15:35.032909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d8800bfb-e8a4-4bd1-b594-a269a928b5cf · outbound

This paper cites Cross-modal fine-tuning: Align then refine,.

Representation Learning for Tabular Data: A Comprehensive Survey Cross-modal fine-tuning: Align then refine,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.140143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01cfaf7d-2728-4035-b5f3-18598cbb4121 · outbound

This paper cites Converting tabular data into images for deep learning with convolutional neural networks,.

Representation Learning for Tabular Data: A Comprehensive Survey Converting tabular data into images for deep learning with convolutional neural networks,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.144273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a515fbc6-c3c0-47bc-ac7f-68c0df59ad22 · outbound

This paper cites TablEye: Seeing small Tables through the Lens of Images.

Representation Learning for Tabular Data: A Comprehensive Survey TablEye: Seeing small Tables through the Lens of Images

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:15:35.013671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 22957b0b-3115-474b-8045-7f5e5d646362 · outbound

This paper cites Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations.

Representation Learning for Tabular Data: A Comprehensive Survey Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:15:34.993569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 49b80e5a-d42e-43ab-bec4-6a1f95178607 · outbound

This paper cites Transtab: Learning transferable tabular transformers across tables,.

Representation Learning for Tabular Data: A Comprehensive Survey Transtab: Learning transferable tabular transformers across tables,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.157996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13a1e962-f56a-4008-bcd8-18baf0347eed · outbound

This paper cites Making pre-trained language models great on tabular prediction,.

Representation Learning for Tabular Data: A Comprehensive Survey Making pre-trained language models great on tabular prediction,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.162002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa7034df-edcb-402e-86e6-0cd77cb4bfee · outbound

This paper cites Towards cross-table masked pretraining for web data mining,.

Representation Learning for Tabular Data: A Comprehensive Survey Towards cross-table masked pretraining for web data mining,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.166237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e39c5dfb-c3db-488f-8b86-7506ca339c4c · outbound

This paper cites Tabllm: few-shot classification of tabular data with large language models,.

Representation Learning for Tabular Data: A Comprehensive Survey Tabllm: few-shot classification of tabular data with large language models,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.170146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f19d8d95-1191-4b2d-9f42-cdc427707446 · outbound

This paper cites From supervised to generative: A novel paradigm for tabular deep learning with large language models,.

Representation Learning for Tabular Data: A Comprehensive Survey From supervised to generative: A novel paradigm for tabular deep learning with large language models,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.173996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbd58641-1953-446b-af8c-0f5b8271441d · outbound

This paper cites Large language models for automated data science: Introducing CAAFE for context-aware automated feature engineering,.

Representation Learning for Tabular Data: A Comprehensive Survey Large language models for automated data science: Introducing CAAFE for context-aware automated feature engineering,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.178427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e1544b-0c81-496f-b52e-e03365a871c9 · outbound

This paper cites Large language models can automatically engineer features for few-shot tabular learning,.

Representation Learning for Tabular Data: A Comprehensive Survey Large language models can automatically engineer features for few-shot tabular learning,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.182791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a81b471-e63f-46b1-a0f8-133238701209 · outbound

This paper cites A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,.

Representation Learning for Tabular Data: A Comprehensive Survey A comprehensive survey on pretrained foundation models: A history from bert to chatgpt,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.187269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc4dfb8e-75f1-477f-9bb5-364cbdd48d5b · outbound

This paper cites Foundation models for time series analysis: A tutorial and survey,.

Representation Learning for Tabular Data: A Comprehensive Survey Foundation models for time series analysis: A tutorial and survey,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.191905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2c8ddc-4da5-41d3-9365-4d5bbae0241e · outbound

This paper cites Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective.

Representation Learning for Tabular Data: A Comprehensive Survey Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.196349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f7bae9-3d28-488c-97ab-458353b83f68 · outbound

This paper cites Hyperfast: Instant classification for tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey Hyperfast: Instant classification for tabular data,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.201334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f0a3d1a-eda9-47d2-87f6-45ad30686018 · outbound

This paper cites Mothernet: Fast training and inference via hyper-network transformers,.

Representation Learning for Tabular Data: A Comprehensive Survey Mothernet: Fast training and inference via hyper-network transformers,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.205915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7300ff36-5409-49f6-a2d2-f8be5e016d0f · outbound

This paper cites Tabpfn: A transformer that solves small tabular classification problems in a second,.

Representation Learning for Tabular Data: A Comprehensive Survey Tabpfn: A transformer that solves small tabular classification problems in a second,

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.210601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4042604-a29d-443b-85e3-cdfd5d3549eb · outbound

This paper cites Retrieval & fine-tuning for in-context tabular models,.

Representation Learning for Tabular Data: A Comprehensive Survey Retrieval & fine-tuning for in-context tabular models,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.214794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 985cda90-7f20-4062-b840-cdb30c5a5ae6 · outbound

This paper cites Accurate predictions on small data with a tabular foundation model,.

Representation Learning for Tabular Data: A Comprehensive Survey Accurate predictions on small data with a tabular foundation model,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.219704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab82c7a-2c9b-4d8a-af0f-0a2a8975637b · outbound

This paper cites Large scale transfer learning for tabular data via language modeling,.

Representation Learning for Tabular Data: A Comprehensive Survey Large scale transfer learning for tabular data via language modeling,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.224208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f3ef62e-9cd5-4b6e-a345-c0eb6c21abf9 · outbound

This paper cites From supervised to generative: A novel paradigm for tabular deep learning with large language models,.

Representation Learning for Tabular Data: A Comprehensive Survey From supervised to generative: A novel paradigm for tabular deep learning with large language models,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.228861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c30a40-335a-49d9-a449-7e60b94eb75c · outbound

This paper cites Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models.

Representation Learning for Tabular Data: A Comprehensive Survey Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.233940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3441fd-0a3f-462c-90af-956cc7c3f6e8 · outbound

This paper cites TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling.

Representation Learning for Tabular Data: A Comprehensive Survey TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.238999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6e5bb8-7088-4e86-b7fe-0759b0a32779 · outbound

This paper cites TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems.

Representation Learning for Tabular Data: A Comprehensive Survey TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.243902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d20539fe-0d5e-42b1-a169-3010d0fc809d · outbound

This paper cites Interpretable deep clustering for tabular data,.

Representation Learning for Tabular Data: A Comprehensive Survey Interpretable deep clustering for tabular data,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.248645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae3db31-70a8-4fd3-b32f-3f135b46045a · outbound

This paper cites TableDC: Deep Clustering for Tabular Data.

Representation Learning for Tabular Data: A Comprehensive Survey TableDC: Deep Clustering for Tabular Data

Reference 98

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:15:34.916723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1746b951-e49a-4fc4-89da-19b37026fa0e · outbound

This paper cites Adbench: Anomaly detection benchmark,.

Representation Learning for Tabular Data: A Comprehensive Survey Adbench: Anomaly detection benchmark,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.258494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81dc586b-e0b9-464b-bf49-3a215bdae6d7 · outbound

This paper cites Anomaly detection for tabular data with internal contrastive learning,.

Representation Learning for Tabular Data: A Comprehensive Survey Anomaly detection for tabular data with internal contrastive learning,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T12:15:33.262599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7641df64-213c-4b5c-9959-2874f0559853 · inbound

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard cites this paper.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Representation Learning for Tabular Data: A Comprehensive Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:42.703188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be0adac-5c2b-4b06-bbb3-371daadb9b24 · inbound

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding cites this paper.

MMTABREAL: Real-World Benchmark for Multimodal Table Understanding Representation Learning for Tabular Data: A Comprehensive Survey

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:18.634841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55962dee-d293-4f00-b461-54e029f88e42 · inbound

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses cites this paper.

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses Representation Learning for Tabular Data: A Comprehensive Survey

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.046107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd56f003-3a0e-4c4c-942c-90e0b90ec36f · inbound

Multimodal Tabular Reasoning with Privileged Structured Information cites this paper.

Multimodal Tabular Reasoning with Privileged Structured Information Representation Learning for Tabular Data: A Comprehensive Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T10:53:59.708442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142a0ae7-e8a7-4eab-bdd6-29066a77b14b · inbound

TabArena: A Living Benchmark for Machine Learning on Tabular Data cites this paper.

TabArena: A Living Benchmark for Machine Learning on Tabular Data Representation Learning for Tabular Data: A Comprehensive Survey

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:42:12.640645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 110c63d0-046f-4972-9700-f5032a682c98 · inbound

Universal Embeddings of Tabular Data cites this paper.

Universal Embeddings of Tabular Data Representation Learning for Tabular Data: A Comprehensive Survey

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:59.585227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba68c531-0eb3-4fe1-a4be-02b944922ace · inbound

End-to-End Compression for Tabular Foundation Models cites this paper.

End-to-End Compression for Tabular Foundation Models Representation Learning for Tabular Data: A Comprehensive Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:17:34.844393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d99f23b-b548-469a-a992-a57c392a9f51 · inbound

End-to-End Compression for Tabular Foundation Models cites this paper.

End-to-End Compression for Tabular Foundation Models Representation Learning for Tabular Data: A Comprehensive Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T04:17:34.927327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb2f46b6-f485-48fa-8ad8-abb757d993ed · inbound

Evaluating Tabular Representation Learning for Network Intrusion Detection cites this paper.

Evaluating Tabular Representation Learning for Network Intrusion Detection Representation Learning for Tabular Data: A Comprehensive Survey

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:05:34.633328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6190768-64e1-43a0-812b-2b7fbf39d256 · inbound

Foundation Models for Credit Risk Prediction: A Game Changer? cites this paper.

Foundation Models for Credit Risk Prediction: A Game Changer? Representation Learning for Tabular Data: A Comprehensive Survey

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:18:18.092966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a410f977-a4f0-4d5c-bb1f-ba0269f77d69 · inbound

Foundation Models for Credit Risk Prediction: A Game Changer? cites this paper.

Foundation Models for Credit Risk Prediction: A Game Changer? Representation Learning for Tabular Data: A Comprehensive Survey

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-02T13:47:24.767167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a26c145c-afa9-4901-8000-c69f2e1f1bd7 · inbound

TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention cites this paper.

TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention Representation Learning for Tabular Data: A Comprehensive Survey

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:37:09.715488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2db937b7-e275-4462-9425-bcab2882f0ea · inbound

Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification cites this paper.

Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification Representation Learning for Tabular Data: A Comprehensive Survey

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:45:35.308358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 00524907-8839-4041-99b6-4c100cae5e32 · inbound

CURED: Creating, Understanding, and Repairing Errors Demonstrator cites this paper.

CURED: Creating, Understanding, and Repairing Errors Demonstrator Representation Learning for Tabular Data: A Comprehensive Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:43:13.972049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.