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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2106.01342.

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

pith.paper-citation-record.v1
2106.01342 v1

Coverage vector

measured 0 of 0 reference resolution

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:34:30.740675Z

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

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External citation measurements

120
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f9ff442e-c37f-4a87-a04c-8bcd54b0d96d · inbound

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

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 13

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arxiv_id, observed 2026-05-15T03:04:00.566990Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T03:04:00.513443Z digest=sha256:821e929b3ca5bc58f138e0b8e1fe884b69cd4189abed0a7029bca1441b41b9a6

Observation 0ae56d11-982f-4f8e-8221-781a2855b5af · inbound

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes cites this paper.

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 29

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source=pdf_text observed=2026-08-09T11:34:30.740675Z digest=sha256:3a4cd1665afa28fba18b09717416772e6bf91f2d838185f78b4130f9bfdd9d04

Observation 8a60e3bd-11f2-4885-8d8f-feb54cbb83fd · inbound

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

Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 9

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Observation 0ed0bb05-a327-4f09-a488-55ea5057aae9 · inbound

(GG) MoE vs. MLP on Tabular Data cites this paper.

(GG) MoE vs. MLP on Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 11

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source=pdf_text observed=2026-08-09T04:26:41.694395Z digest=sha256:e6be0687dca4824ba38f4b1ac9651547bf9cd9ccc3b7e1064156a826f934dc4c

Observation 94b2a683-17c5-4f29-8290-c46a1e4cc1e7 · inbound

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer cites this paper.

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 71

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source=arxiv_source observed=2026-08-08T22:21:08.027224Z digest=sha256:a6f78d68afa9038a34dc32622fac76c0248b78a24ef41297bc102982f1ff0e8a

Observation c2c9ef15-af47-4570-81f5-3cbabc79b3db · inbound

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains cites this paper.

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 41

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Observation adcab557-11c1-4a46-8a17-ec010f9f0a85 · inbound

When Shift Happens - Confounding Is to Blame cites this paper.

When Shift Happens - Confounding Is to Blame SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 76

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Observation 55361ce2-4fb3-4f96-96a4-fc35361ef874 · inbound

TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning cites this paper.

TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 25

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Observation 91f0b308-31c0-4e6c-bd6e-d2337e14594e · inbound

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL cites this paper.

Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 34

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source=pdf_text observed=2026-08-07T11:29:50.672770Z digest=sha256:b37bdedf71acdf5e258331e5aaa84ca6fbae0f15a3f1bf480b65ff1d1d6385df

Observation 8258b155-2756-43ea-882c-914cdcad3fa8 · inbound

TabFlex: Scaling Tabular Learning to Millions with Linear Attention cites this paper.

TabFlex: Scaling Tabular Learning to Millions with Linear Attention SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 63

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Observation 1d180baa-2d8b-4f52-bccf-26d36e070ebc · inbound

On Finetuning Tabular Foundation Models cites this paper.

On Finetuning Tabular Foundation Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 2025

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Observation b79f17ec-2440-45e6-bdde-d000e72ff68a · inbound

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes cites this paper.

LAKEGEN: A LLM-based Tabular Corpus Generator for Evaluating Dataset Discovery in Data Lakes SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 41

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source=pdf_text observed=2026-08-06T19:46:41.626833Z digest=sha256:44be40eb60a075bab89549474634157e93a1ebbf58f3a758a1f9ef2a0c20188a

Observation e60dbf0e-f69c-4529-8d5c-a3f91de58a33 · inbound

Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks cites this paper.

Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 49

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Observation ec5fd82a-ace0-4960-8abe-5b16709fa4fb · inbound

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data cites this paper.

City-Level Foreign Direct Investment Prediction with Tabular Learning on Judicial Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 1990

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source=pdf_text observed=2026-08-06T19:26:05.053459Z digest=sha256:1f4ff8eb4b056b271811ce906e49b4747ff0299adbc1aec13fa9714e208bf7a5

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

MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts cites this paper.

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

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source=arxiv_source observed=2026-08-06T18:31:52.669644Z digest=sha256:4dd006c0b01eb6257f6ea91f283bd380d5a457e14100f58445589f2bf1252db1

Observation bdac9e6c-1dbf-4386-ad96-c84cb7eb5647 · inbound

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models cites this paper.

Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

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arxiv_id, observed 2026-05-18T16:06:35.062397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fb825a22-4e05-4d56-8f00-daa86d2feaee · inbound

LakeMLB: Data Lake Machine Learning Benchmark cites this paper.

LakeMLB: Data Lake Machine Learning Benchmark SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 26

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Observation 74ff921b-a274-4b94-a08e-97468029c6bc · inbound

No Need to Train Your RDB Foundation Model cites this paper.

No Need to Train Your RDB Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 22

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Observation 3aef6dfe-c439-4d06-9e6a-eb9641885c15 · inbound

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning cites this paper.

MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 52

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arxiv_id, observed 2026-05-15T20:11:34.268622Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 3f43283a-4a2e-42f2-94d3-30d6bcdacdd1 · inbound

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data cites this paper.

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 1

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arxiv_id, observed 2026-05-21T10:30:00.295029Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2b7093f0-d152-45e4-a396-d6e14b7eb079 · inbound

Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data cites this paper.

Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 37

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arxiv_id, observed 2026-05-15T06:59:49.283118Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 52ac7b6c-a13c-4d01-ae01-4f236edd151b · inbound

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models cites this paper.

PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 20

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Observation 2b636d6b-d2b4-4d92-bc72-4a9e9c3e61bd · inbound

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning cites this paper.

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 24

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Observation 1110f8f0-ed31-4cce-b4dd-2ca880245a16 · inbound

Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data cites this paper.

Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 6

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arxiv_id, observed 2026-05-10T23:50:56.242578Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 111f16c6-d455-4b68-95bc-caa657a7ebdd · inbound

PRAGMA: Revolut Foundation Model cites this paper.

PRAGMA: Revolut Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 15

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arxiv_id, observed 2026-05-11T06:30:59.099540Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c8ef2a02-7a73-4312-96a6-ea3877b5e8d1 · inbound

Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction cites this paper.

Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

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arxiv_id, observed 2026-05-11T10:01:01.270696Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 43155a87-5c6e-4c63-920d-ca0a14b914bb · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 7

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arxiv_id, observed 2026-05-09T06:25:44.722790Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4a1c5121-36d0-4a52-8bf7-15c5ee82b82c · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 7

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arxiv_id, observed 2026-07-01T00:35:10.318386Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c9dff112-928b-44bc-8054-b304a95a0689 · inbound

Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks cites this paper.

Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 17

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arxiv_id, observed 2026-05-19T18:42:43.724488Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 794cadc7-cc7d-400b-9690-d988d9bc6555 · inbound

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

Foundation Models for Credit Risk Prediction: A Game Changer? SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 159

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arxiv_id, observed 2026-05-20T13:18:18.246633Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T13:17:44.504335Z digest=sha256:ea4a60b693d00beb4ad4869ae5b9785b9701ec3ebce66b9ceb8c705a14e29344

Observation b865807b-90d0-4c9f-a99f-c9872e94b6b5 · inbound

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

Foundation Models for Credit Risk Prediction: A Game Changer? SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 91

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Observation d926331b-9bc2-4f9d-b23c-7da59db0f5d1 · inbound

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction cites this paper.

SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 41

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arxiv_id, observed 2026-05-20T12:23:16.996607Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 36e93974-3e91-4d64-97b0-e6c39f03fefa · inbound

TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data cites this paper.

TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 5

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metadata mismatch
arxiv_id, observed 2026-05-21T07:44:02.640738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T07:40:47.466415Z digest=sha256:1860b3131b50b1b05d1c503b0ae32c5c4d513b0a844129679aa9aa71defbabaa

Observation 8bf0473c-e909-4088-8eac-4635773f2aef · inbound

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases cites this paper.

RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:22.270223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T05:05:04.461460Z digest=sha256:4aa2b6fcecca152408bed74b4bd115781113f25d96bac4bfd0fe8495481a19d7

Observation 75a97833-7c1d-4093-8819-d28ef7c1832e · inbound

The Case for Model Science: Verify, Explore, Steer, Refine cites this paper.

The Case for Model Science: Verify, Explore, Steer, Refine SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 253

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metadata mismatch
arxiv_id, observed 2026-07-01T21:16:13.560939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T17:24:32.311565Z digest=sha256:943fb2703666e1025b0914ec93e778dfac1319d3f02efbd15e5281e0ae8b9d2e

Observation 15e4447a-44f8-48e0-b1d5-38550a9258a8 · inbound

RowNet: A Memory Transformer for Tabular Regression cites this paper.

RowNet: A Memory Transformer for Tabular Regression SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T06:56:44.722766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T07:16:34.310531Z digest=sha256:c137c5710fa89a9c83c4dfb43c79d83fffa6ec841b6f87a4b5902da4f5fc6b0b

Observation 968fd8b0-8aab-475d-b61f-4d6e928bd6d6 · inbound

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders cites this paper.

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:07:30.392514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T16:48:38.820334Z digest=sha256:748a247c49608e65680196e70a295a71f25405e806405523e0d0043c23ff5fc6

Observation d5abf0ba-7f2d-40f6-a5b9-d03d17877b0b · inbound

Pattern-Aware Graph Neural Networks for Handling Missing Data cites this paper.

Pattern-Aware Graph Neural Networks for Handling Missing Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T05:50:23.546639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:50:23.546639Z digest=sha256:3e760e72f92ef1828ddeeaf4c04836f15afa56905d047b2e8c977bdfa970c14a

Observation adcb6f53-0945-4263-a883-69ce0c5fa838 · inbound

TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data cites this paper.

TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T00:36:05.289408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T00:36:05.289408Z digest=sha256:dfaf68b9a6848f1fa031fff8fb5d653271766583d78076d78e035f925a9b060e

Observation d6cd63a1-0ffa-4ee3-b5d5-6cc64fa5a838 · inbound

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification cites this paper.

Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T05:18:46.407357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:18:46.407357Z digest=sha256:b9c8fd49c526974c9aa19e27cdc333b5640595a94576ae57d4a9cf21a00973ad

Observation dbb75207-ff8c-42cc-be28-07974d0e5287 · inbound

Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models cites this paper.

Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T00:54:47.346496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:54:47.346496Z digest=sha256:e9d6fe18e1551ebe8e917aa1346e2d418d9cdb1a10f8dadb04086cb6de17c18c

Observation 697abd10-2892-4644-922a-192bce44ee4a · inbound

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions cites this paper.

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 156

Resolution
unresolved
no resolver link, observed 2026-07-30T15:56:46.035459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T15:56:46.035459Z digest=sha256:b9a4fc8380dfa749aeead58928532a13f692209f31535fd13b1923cf61857e1e

Observation a3babd14-86e5-468b-9bdf-05c805d7abe9 · inbound

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models cites this paper.

Modeling Decisions in Blockchain Analytics: A Leakage-Aware Evaluation of Tree-Based vs. Sequential Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T09:03:19.680449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:03:19.680449Z digest=sha256:e91f3c54123c273b36daea77e43bcaa5af72141ad53b6d155fc3db3a76b1c59d

Observation 1d5ab4a1-96b5-496d-a1f9-0aca8ba942f2 · inbound

Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation cites this paper.

Adaptive Intrusion Detection System using Transformer-Based Neural Networks and Continual Learning Approach with Adversarial Investigation SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:59.336455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:03:59.336455Z digest=sha256:84305ed4bb4243d7cfe12118f2fcaf1cb2a1fcd9662e952119f2b9b2b2aa1646