Paper Citation Record · LEDGER

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments

As of 10 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2501.18935.

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

pith.paper-citation-record.v1
2501.18935 v3

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:57:15.141610Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:13.272099Z

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

72 of 72 outbound references displayed

verified exact0
verified fuzzy47
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

Observation d182a0ca-8e39-48b8-8575-79934f71323a · outbound

This paper cites write newline.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.880646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 838b9648-ebf0-4a2f-a9fa-f88a7a2197e0 · outbound

This paper cites Domain-Adversarial Neural Networks.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Domain-Adversarial Neural Networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.885871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7d3086a-c94a-476e-89a1-dabd950a8ac0 · outbound

This paper cites and Krzywinski, M.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments and Krzywinski, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.904443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 66c4a711-317c-47e8-b3c5-aa876fd4f611 · outbound

This paper cites an unresolved cited work.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:57:15.893788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation de1427d6-3250-46da-a1ea-19429a946d1c · outbound

This paper cites Invariant Risk Minimization.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Invariant Risk Minimization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.898424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9de1e5e8-6def-4f9d-a2e3-1a94151e03cb · outbound

This paper cites Gradient Boosting Neural Networks: GrowNet.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Gradient Boosting Neural Networks: GrowNet

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.902832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba1af9a0-fbe1-4136-bf98-13a274ae3f2f · outbound

This paper cites It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.907151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a40413-9af4-4557-b51f-6f68213d8e60 · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Deep neural networks and tabular data: A survey

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.883784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d825234-def1-4ba6-90e7-7ccd3302eba1 · outbound

This paper cites Z., and Wu, J.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Z., and Wu, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.872914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 862cdaea-080d-432b-ba8e-78496197f032 · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Tabcaps: A capsule neural network for tabular data classification with bow routing

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.861855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a16b6b1-e24b-4811-b785-30b991667301 · outbound

This paper cites and Guestrin, C.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments and Guestrin, C

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.851265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a084583-5847-421e-bfc7-a081d1dcfda0 · outbound

This paper cites Faster Wasserstein distance estimation with the Sinkhorn divergence.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Faster Wasserstein distance estimation with the Sinkhorn divergence

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.840120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd93fc4e-6939-4b14-9c99-6d1309206ca5 · outbound

This paper cites ImageNet: A large-scale hierarchical image database.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments ImageNet: A large-scale hierarchical image database

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.829102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42210460-6864-403e-8716-2fcb47d08d37 · outbound

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.932207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7ad97ad-5e59-453e-bba3-35a195fa759e · outbound

This paper cites Large Scale Transfer Learning for Tabular Data via Language Modeling.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Large Scale Transfer Learning for Tabular Data via Language Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.936192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2762f3d7-d266-4925-9266-b5f76c707d7d · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Benchmarking distribution shift in tabular data with tableshift

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.818955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff539e96-014e-4432-a702-020cdde7dd84 · outbound

This paper cites F., Ellis, D.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments F., Ellis, D

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.807720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0132d1cc-5199-4cc5-a77f-083450829e56 · outbound

This paper cites Revisiting deep learning models for tabular data.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Revisiting deep learning models for tabular data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.797402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation afd5a806-ceca-484a-8760-a2ec7f841ad4 · outbound

This paper cites TabR: Tabular Deep Learning Meets Nearest Neighbors.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments TabR: Tabular Deep Learning Meets Nearest Neighbors

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.787644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf0d9201-8c57-45df-939b-276b6298739c · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data? Advances in Neural Information Processing Systems, pp.\ 507--520, 2022.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Why do tree-based models still outperform deep learning on typical tabular data? Advances in Neural Information Processing Systems, pp.\ 507--520, 2022

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.777177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6a7ba1ed-654d-4fd9-b8ea-3aad7775904c · outbound

This paper cites Robust semi-supervised learning in open environments.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Robust semi-supervised learning in open environments

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.767212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27e0a2ac-5309-4221-9634-a2b08084597a · outbound

This paper cites Domain adaptation for time series under feature and label shifts.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Domain adaptation for time series under feature and label shifts

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.757013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f273742-696f-4847-99db-d6d21a74b8fc · outbound

This paper cites TabLLM: Few-shot Classification of Tabular Data with Large Language Models.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.746422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4c216934-0e83-4126-9208-d931d9186b80 · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Tab PFN : A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.735746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 723ff67b-5961-4ce0-a63b-3354a9cfc1ff · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Large language models for automated data science: Introducing caafe for context-aware automated feature engineering

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.724643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5830cf87-613a-4614-92e3-3ecae6105516 · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:14.975231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a0d693-e8cc-4ec3-94d2-dce475680ae7 · outbound

This paper cites an unresolved cited work.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:57:15.713600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51dc554d-cf38-4b70-97ff-199e80a882d1 · outbound

This paper cites TANGOS : Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments TANGOS : Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.702137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e776dc81-d58b-47a9-8ddc-5b5ab369a6e6 · outbound

This paper cites LAMDA-SSL: a comprehensive semi-supervised learning toolkit.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments LAMDA-SSL: a comprehensive semi-supervised learning toolkit

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.690218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8fbc1e8-4174-4af6-9e50-5fc0c1dfe7eb · outbound

This paper cites Realistic evaluation of semi-supervised learning algorithms in open environments.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Realistic evaluation of semi-supervised learning algorithms in open environments

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.679114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a3710034-fb3c-48be-8eab-663ed3b8b3af · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Well-tuned simple nets excel on tabular datasets

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.667811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 126ec71a-cbf5-43b2-ba47-c1b128c2032c · outbound

This paper cites LightGBM: A Highly Efficient Gradient Boosting Decision Tree.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.656649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac04e09d-2a87-4e66-9615-2a49a8d86ded · outbound

This paper cites Self-normalizing neural networks.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Self-normalizing neural networks

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.645610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 055244d5-bcb5-4cbf-95d8-0f9df81ab965 · outbound

This paper cites Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.003776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6823682-85b7-4b89-9177-591aedd7ef41 · outbound

This paper cites A comprehensive survey on test-time adaptation under distribution shifts.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments A comprehensive survey on test-time adaptation under distribution shifts

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.007936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9886dfbc-8494-42b0-8eeb-0bfcbe5c4044 · outbound

This paper cites On the need for a language describing distribution shifts: Illustrations on tabular datasets.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments On the need for a language describing distribution shifts: Illustrations on tabular datasets

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.627692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 013d616b-66d9-4108-b69b-841072a929ba · outbound

This paper cites TALENT: A Tabular Analytics and Learning Toolbox.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments TALENT: A Tabular Analytics and Learning Toolbox

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.015236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd875586-c3dd-4824-a910-b893b754d49c · outbound

This paper cites Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.617143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df6ce13c-2650-4988-ab12-062576551c9f · outbound

This paper cites Shifts 2.0: Extending The Dataset of Real Distributional Shifts.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Shifts 2.0: Extending The Dataset of Real Distributional Shifts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.022519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10c72098-f4b0-4799-8296-d9fa7c45ec3f · outbound

This paper cites When do neural nets outperform boosted trees on tabular data? Advances in Neural Information Processing Systems, pp.\ 76336--76369, 2023.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments When do neural nets outperform boosted trees on tabular data? Advances in Neural Information Processing Systems, pp.\ 76336--76369, 2023

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.606904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13783504-beb0-4a3c-ad49-151ffa962b9b · outbound

This paper cites Uncertainty estimation for classification and risk prediction on medical tabular data.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Uncertainty estimation for classification and risk prediction on medical tabular data

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.030068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5949e5a0-70cf-45ea-926c-4ce75e42c4e7 · outbound

This paper cites The effect of natural distribution shift on question answering models.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments The effect of natural distribution shift on question answering models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.596802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 410b761d-a242-4b00-966b-732424c48ade · outbound

This paper cites Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.586386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2739b7ed-0f4d-4355-b2de-62d4f70485e9 · outbound

This paper cites GPT-4 Technical Report.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments GPT-4 Technical Report

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.040820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e5241d-922f-4ae5-b764-c6584e63bf78 · outbound

This paper cites Open-world machine learning: applications, challenges, and opportunities.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Open-world machine learning: applications, challenges, and opportunities

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.575542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67d37588-d24e-4890-8672-c971b00ea2f4 · outbound

This paper cites Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.564875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a79a6b1-f419-429e-bc60-d6eddd39ccdc · outbound

This paper cites V., and Gulin, A.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments V., and Gulin, A

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.554717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 539a94ad-ad79-4911-9679-982667aa7cc0 · outbound

This paper cites An overview of gradient descent optimization algorithms.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments An overview of gradient descent optimization algorithms

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.054955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12f5fb85-eecb-4777-ace5-983e88b54ab7 · outbound

This paper cites Explainable artificial intelligence for tabular data: A survey.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Explainable artificial intelligence for tabular data: A survey

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.544465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 125b7b5d-c4bc-4131-a733-0e4cc604f320 · outbound

This paper cites Open-set learning under covariate shift.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Open-set learning under covariate shift

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.533932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ad801053-a8ff-43e2-b2c9-fe128a9d854b · outbound

This paper cites an unresolved cited work.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:57:15.523381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cf565662-74c1-49a1-ae8d-e18c5421653a · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.070290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad27ee90-9879-4bb2-a346-c36b6865655c · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Autoint: Automatic feature interaction learning via self-attentive neural networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.512979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 05dbb54a-83f2-4e6f-9836-b291d0da6c1d · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments LLaMA: Open and Efficient Foundation Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.077998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b325545-010a-4334-b242-68a4c4b99d5a · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.502535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb5f1ace-c1de-4c53-9ce2-b7a657fa392f · outbound

This paper cites Tent: Fully Test-Time Adaptation by Entropy Minimization.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Tent: Fully Test-Time Adaptation by Entropy Minimization

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.492482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d550eba-0359-4183-8d12-1071213e1cd3 · outbound

This paper cites Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.482140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0752a90-ccb1-42ff-a7fb-7643162d2d20 · outbound

This paper cites UniPredict: Large Language Models are Universal Tabular Classifiers.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments UniPredict: Large Language Models are Universal Tabular Classifiers

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.092186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e85d4f-ea3d-436f-bebc-9b3bef6c7b5a · outbound

This paper cites Usb: A unified semi-supervised learning benchmark for classification.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Usb: A unified semi-supervised learning benchmark for classification

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.471739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38dfa566-dbcf-493b-abfb-46907e59131b · outbound

This paper cites Neural network credit scoring models.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Neural network credit scoring models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.461415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4b00da2d-cf56-47b0-8d9b-e4d90164e6d6 · outbound

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

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Switchtab: Switched autoencoders are effective tabular learners

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.450479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f4271c4-4b21-411e-9054-1687e80998cf · outbound

This paper cites Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.106275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31befce8-2e71-4c82-9918-d4926f2e6eda · outbound

This paper cites Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.109849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03742115-3ea2-440b-8000-29fc3e38fa17 · outbound

This paper cites A., Fan, Z., Luo, H., Liu, F., Liu, Q., Cao, W., and Jian, L.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments A., Fan, Z., Luo, H., Liu, F., Liu, Q., Cao, W., and Jian, L

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.438918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4cf8f08-e510-4cae-8cb2-d335751943ff · outbound

This paper cites Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Domain generalization for cross-domain fault diagnosis: An application-oriented perspective and a benchmark study

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.428471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45a4e35f-0f50-4fed-bf8b-3739b088bc6a · outbound

This paper cites Domain Generalization with MixStyle.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Domain Generalization with MixStyle

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.417202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ab721b5-148d-4342-9ceb-41ef4b987c13 · outbound

This paper cites an unresolved cited work.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-09T21:57:15.406051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a959a50c-e295-4f67-aea8-f92d744822ca · outbound

This paper cites Ods: Test-time adaptation in the presence of open-world data shift.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Ods: Test-time adaptation in the presence of open-world data shift

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.394806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a07b48d-6dda-469f-ac99-6399647fe8f0 · outbound

This paper cites Fully Test-time Adaptation for Tabular Data.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Fully Test-time Adaptation for Tabular Data

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.383656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 043b1508-4a8e-4ccd-9486-9f49a30b94d9 · outbound

This paper cites Open-environment machine learning.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Open-environment machine learning

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.372497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ecdae5d7-d906-4efb-af4b-c6788672d400 · outbound

This paper cites TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-09T21:57:15.137988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa1efff-8d1f-421b-927c-861653480edb · outbound

This paper cites Deformable convnets v2: More deformable, better results.

TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments Deformable convnets v2: More deformable, better results

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:57:15.361154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation a6f03b16-fd66-47a6-bb55-ec7fafe976a3 · inbound

Realistic Evaluation of TabPFN v2 in Open Environments cites this paper.

Realistic Evaluation of TabPFN v2 in Open Environments TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:13.272099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9806f48b-4c52-4524-82e9-729e49efcee1 · inbound

Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces cites this paper.

Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:58:08.342690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.