Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:34:30.740675Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
120
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation f9ff442e-c37f-4a87-a04c-8bcd54b0d96d · inbound
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
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.
Observation 0ae56d11-982f-4f8e-8221-781a2855b5af · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a60e3bd-11f2-4885-8d8f-feb54cbb83fd · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ed0bb05-a327-4f09-a488-55ea5057aae9 · inbound
(GG) MoE vs. MLP on Tabular Data SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94b2a683-17c5-4f29-8290-c46a1e4cc1e7 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2c9ef15-af47-4570-81f5-3cbabc79b3db · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adcab557-11c1-4a46-8a17-ec010f9f0a85 · inbound
When Shift Happens - Confounding Is to Blame SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 76
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55361ce2-4fb3-4f96-96a4-fc35361ef874 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91f0b308-31c0-4e6c-bd6e-d2337e14594e · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8258b155-2756-43ea-882c-914cdcad3fa8 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d180baa-2d8b-4f52-bccf-26d36e070ebc · inbound
On Finetuning Tabular Foundation Models SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b79f17ec-2440-45e6-bdde-d000e72ff68a · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e60dbf0e-f69c-4529-8d5c-a3f91de58a33 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec5fd82a-ace0-4960-8abe-5b16709fa4fb · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc3c1b1c-f961-44c5-87ca-878e3eed7da6 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 17
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.
Observation fb825a22-4e05-4d56-8f00-daa86d2feaee · inbound
LakeMLB: Data Lake Machine Learning Benchmark SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74ff921b-a274-4b94-a08e-97468029c6bc · inbound
No Need to Train Your RDB Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3aef6dfe-c439-4d06-9e6a-eb9641885c15 · inbound
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
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.
Observation 3f43283a-4a2e-42f2-94d3-30d6bcdacdd1 · inbound
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
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.
Observation 2b7093f0-d152-45e4-a396-d6e14b7eb079 · inbound
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
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.
Observation 52ac7b6c-a13c-4d01-ae01-4f236edd151b · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b636d6b-d2b4-4d92-bc72-4a9e9c3e61bd · inbound
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
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.
Observation 1110f8f0-ed31-4cce-b4dd-2ca880245a16 · inbound
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
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.
Observation 111f16c6-d455-4b68-95bc-caa657a7ebdd · inbound
PRAGMA: Revolut Foundation Model SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 15
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.
Observation c8ef2a02-7a73-4312-96a6-ea3877b5e8d1 · inbound
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
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.
Observation 43155a87-5c6e-4c63-920d-ca0a14b914bb · inbound
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
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.
Observation 4a1c5121-36d0-4a52-8bf7-15c5ee82b82c · inbound
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
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.
Observation c9dff112-928b-44bc-8054-b304a95a0689 · inbound
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
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.
Observation 794cadc7-cc7d-400b-9690-d988d9bc6555 · inbound
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
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.
Observation b865807b-90d0-4c9f-a99f-c9872e94b6b5 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d926331b-9bc2-4f9d-b23c-7da59db0f5d1 · inbound
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
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.
Observation 36e93974-3e91-4d64-97b0-e6c39f03fefa · inbound
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
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.
Observation 8bf0473c-e909-4088-8eac-4635773f2aef · inbound
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
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.
Observation 75a97833-7c1d-4093-8819-d28ef7c1832e · inbound
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
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.
Observation 15e4447a-44f8-48e0-b1d5-38550a9258a8 · inbound
RowNet: A Memory Transformer for Tabular Regression SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 10
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.
Observation 968fd8b0-8aab-475d-b61f-4d6e928bd6d6 · inbound
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
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.
Observation d5abf0ba-7f2d-40f6-a5b9-d03d17877b0b · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation adcb6f53-0945-4263-a883-69ce0c5fa838 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbb75207-ff8c-42cc-be28-07974d0e5287 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 697abd10-2892-4644-922a-192bce44ee4a · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3babd14-86e5-468b-9bdf-05c805d7abe9 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d5ab4a1-96b5-496d-a1f9-0aca8ba942f2 · inbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.