Paper Citation Record · LEDGER

Realistic Evaluation of TabPFN v2 in Open Environments

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 2 inbound Pith citation observations for arXiv:2505.16226.

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

pith.paper-citation-record.v1
2505.16226 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:19.065830Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:59:14.626274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:37.353344Z

Reference resolution

63 of 63 outbound references displayed

verified exact2
verified fuzzy43
unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ae58683-342d-4bf4-8492-79209722ad57 · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework.

Realistic Evaluation of TabPFN v2 in Open Environments Optuna: A next-generation hyperparameter optimization framework

Reference 1

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Source-reported events for the cited work

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Observation fb1dfd1e-129d-4bc3-b927-4b220b4a2ba6 · outbound

This paper cites Tabular data.

Realistic Evaluation of TabPFN v2 in Open Environments Tabular data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:28.548506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 774ff623-54ce-4daf-8f8f-ab146b26acc7 · outbound

This paper cites Geometric dataset distances via optimal transport.

Realistic Evaluation of TabPFN v2 in Open Environments Geometric dataset distances via optimal transport

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:28.288993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a146311-165b-4500-bde3-42f58820379a · outbound

This paper cites Gradient Boosting Neural Networks: GrowNet.

Realistic Evaluation of TabPFN v2 in Open Environments Gradient Boosting Neural Networks: GrowNet

Reference 4

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Source-reported events for the cited work

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Observation 67e384a4-54a8-44d9-8d13-733dbf08d9a1 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Deep neural networks and tabular data: A survey

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:28.058237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ee1ce61a-e28d-4d76-bae9-160088736fb5 · outbound

This paper cites Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers.

Realistic Evaluation of TabPFN v2 in Open Environments Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:12.938136Z

Source-reported events for the cited work

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Observation 1f72d0d7-e3c0-456d-83e4-8822dc757249 · outbound

This paper cites Random forests.

Realistic Evaluation of TabPFN v2 in Open Environments Random forests

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:13.010646Z

Source-reported events for the cited work

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Observation 57071a91-97b6-47d2-b2eb-68a92ec7c0af · outbound

This paper cites Diagnosing Model Performance Under Distribution Shift.

Realistic Evaluation of TabPFN v2 in Open Environments Diagnosing Model Performance Under Distribution Shift

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:13.082707Z

Source-reported events for the cited work

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Observation 786c22c5-8a60-4219-a23a-e4c80c03e0f0 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Realistic Evaluation of TabPFN v2 in Open Environments XGBoost: A Scalable Tree Boosting System

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:27.824731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

This paper cites TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments.

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

Reference 10

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Source-reported events for the cited work

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Observation 8a6097ae-9c38-4f46-9033-01c1721413b1 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Faster Wasserstein distance estimation with the Sinkhorn divergence

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:27.575392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 022ead1d-c2fb-456b-9fa9-506f1167b3bc · outbound

This paper cites Cortez, A.

Realistic Evaluation of TabPFN v2 in Open Environments Cortez, A

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:27.388262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7bfa5c31-c4ae-4dec-9404-b14fffd2cf27 · outbound

This paper cites Zero-shot generalizable incremental learning for vision-language object detection.

Realistic Evaluation of TabPFN v2 in Open Environments Zero-shot generalizable incremental learning for vision-language object detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:27.086771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70d0e7e7-08a6-4bd5-918e-ee9941c358a8 · outbound

This paper cites The overlooked elephant of object detection: Open set.

Realistic Evaluation of TabPFN v2 in Open Environments The overlooked elephant of object detection: Open set

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:26.822757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3fbddcd6-6e36-445e-9d01-560aa53501a8 · outbound

This paper cites VOS: Learning What You Don't Know by Virtual Outlier Synthesis.

Realistic Evaluation of TabPFN v2 in Open Environments VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 15

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Source-reported events for the cited work

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Observation b38d4591-7e49-425b-a51d-2738c9c898a2 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:13.954155Z

Source-reported events for the cited work

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Observation 90ded69e-6e2d-4494-b026-2a485d785d23 · outbound

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Realistic Evaluation of TabPFN v2 in Open Environments Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8674b9d0-4c65-4451-9e51-77ce2168667d · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Benchmarking distribution shift in tabular data with tableshift

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:26.337312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11d9979f-76d1-4f6e-a841-71252d2935da · outbound

This paper cites Revisiting deep learning models for tabular data.

Realistic Evaluation of TabPFN v2 in Open Environments Revisiting deep learning models for tabular data

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:26.052354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8453ff96-e117-420e-862a-ccffbb5e5496 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Why do tree-based models still outperform deep learning on typical tabular data? Advances in Neural Information Processing Systems, pages 507–520, 2022

Reference 20

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae740e5a-3b50-498f-b784-bfd9adb28165 · outbound

This paper cites Advancing biogeographical ancestry predictions through machine learning.

Realistic Evaluation of TabPFN v2 in Open Environments Advancing biogeographical ancestry predictions through machine learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:25.517989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bc11e6cf-cc3f-47fb-a9b7-754fd43a894b · outbound

This paper cites Drift-resilient TabPFN: In-context learning temporal distribution shifts on tabular data.

Realistic Evaluation of TabPFN v2 in Open Environments Drift-resilient TabPFN: In-context learning temporal distribution shifts on tabular data

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:25.281009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cadeea69-0ee7-4f5c-8292-0ca903367115 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of- Distribution Examples in Neural Networks.

Realistic Evaluation of TabPFN v2 in Open Environments A Baseline for Detecting Misclassified and Out-of- Distribution Examples in Neural Networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:25.146633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6fc8e5d-942e-496d-ba8f-9b6fa7af9144 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Realistic Evaluation of TabPFN v2 in Open Environments Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:24.939115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b1fd2747-559d-4cad-ad2a-6f2ad50308c5 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:24.700326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b201df3f-e935-4237-a24d-13c0233f98b9 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Accurate predictions on small data with a tabular foundation model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:24.485080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bfffe358-e472-44e1-bd46-5f0240ae3394 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Better by default: Strong pre-tuned mlps and boosted trees on tabular data

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:24.279667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 924f177f-a734-41ab-8bf9-29cc35f6b1fc · outbound

This paper cites RealMLP: Advancing MLPs and default parameters for tabular data.

Realistic Evaluation of TabPFN v2 in Open Environments RealMLP: Advancing MLPs and default parameters for tabular data

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:24.010849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff54a072-472a-4b78-b9fb-f1d6c1e8c9cc · outbound

This paper cites The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features.

Realistic Evaluation of TabPFN v2 in Open Environments The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features

Reference 30

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Source-reported events for the cited work

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Observation 7751dc94-a029-4c79-abc2-1d6699dd5480 · outbound

This paper cites Learning with feature evolvable streams.

Realistic Evaluation of TabPFN v2 in Open Environments Learning with feature evolvable streams

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:23.757375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7227f664-76fc-4662-984c-ec93611795e9 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Well-tuned simple nets excel on tabular datasets

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:23.506487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26eab5dc-41d2-4b12-aaf6-f38a0cf013ba · outbound

This paper cites Towards Localization via Data Embedding for TabPFN.

Realistic Evaluation of TabPFN v2 in Open Environments Towards Localization via Data Embedding for TabPFN

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:23.278313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d17c082e-80bf-40a9-9983-3a89aa741b94 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments On the need for a language describing distribution shifts: Illustrations on tabular datasets

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:23.058821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0ba11fb-7bb5-4c9c-8afe-06ce3af4f04c · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 35

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Source-reported events for the cited work

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Observation 340e334c-c1b3-4d1a-acd8-4fe6e4f0029b · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments TALENT: A Tabular Analytics and Learning Toolbox

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:16.665769Z

Source-reported events for the cited work

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Observation 0ad5efed-1cde-4734-b7ec-3e0100d528ac · outbound

This paper cites Diving into Self-Evolving Training for Multimodal Reasoning.

Realistic Evaluation of TabPFN v2 in Open Environments Diving into Self-Evolving Training for Multimodal Reasoning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:16.756120Z

Source-reported events for the cited work

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Observation 9754bae4-6235-4da2-967a-47fdf91adc6c · outbound

This paper cites Opening up open world tracking.

Realistic Evaluation of TabPFN v2 in Open Environments Opening up open world tracking

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:22.855328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cece50e-8dbf-4878-b3ab-75b748a702f7 · outbound

This paper cites When do neural nets outperform boosted trees on tabular data? Advances in Neural Information Processing Systems, pages 34–47, 2023.

Realistic Evaluation of TabPFN v2 in Open Environments When do neural nets outperform boosted trees on tabular data? Advances in Neural Information Processing Systems, pages 34–47, 2023

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:22.605102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 43323d20-f115-4e63-b97b-a2691aebaec5 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Uncertainty estimation for classification and risk prediction on medical tabular data

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:08:19.432238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 229704fa-3bd4-41e3-af0f-59ab9635f4f4 · outbound

This paper cites Machine learning-based diagnostic prediction of minimal change disease: model development study.

Realistic Evaluation of TabPFN v2 in Open Environments Machine learning-based diagnostic prediction of minimal change disease: model development study

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:22.426295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29ca18ad-03f4-4945-b7d9-b8a164ab82ad · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Open-world machine learning: applications, challenges, and opportunities

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:22.283566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f44b24d-33af-48cb-a3d9-8be5d9dc079a · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:22.091487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d2fc08b-2aa1-4078-8cc3-8102ea165324 · outbound

This paper cites CatBoost: unbiased boosting with categorical features.

Realistic Evaluation of TabPFN v2 in Open Environments CatBoost: unbiased boosting with categorical features

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:21.908392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 767be8d5-3ed2-4e61-8da7-bfb0cf28d9ae · outbound

This paper cites A TabPFN-based intrusion detection system for the industrial internet of things.

Realistic Evaluation of TabPFN v2 in Open Environments A TabPFN-based intrusion detection system for the industrial internet of things

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:21.774872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c83e0509-ed7d-4fbb-a96b-a801e6c2a494 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Explainable artificial intelligence for tabular data: A survey

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:17.847962Z

Source-reported events for the cited work

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Observation de3ce723-74de-468e-9046-a718592e870c · outbound

This paper cites Curious exploration via structured world models yields zero-shot object manipulation.

Realistic Evaluation of TabPFN v2 in Open Environments Curious exploration via structured world models yields zero-shot object manipulation

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:21.543555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7bb69835-cc9e-4860-8fd8-1a360897d7ba · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Tabular data: Deep learning is not all you need

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:18.003278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a926827-d373-4820-9d5a-439aa7d6f17a · outbound

This paper cites Covariate shift adaptation by importance weighted cross validation.

Realistic Evaluation of TabPFN v2 in Open Environments Covariate shift adaptation by importance weighted cross validation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:21.372447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7b3e6618-e7aa-4d74-8762-cb3bca149bdf · outbound

This paper cites Caterini.

Realistic Evaluation of TabPFN v2 in Open Environments Caterini

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:21.256951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48c3d05b-5e02-4aeb-866b-a342f9ad7e55 · outbound

This paper cites Predicting dementia in parkinson’s disease on a small tabular dataset using hybrid lightgbm–tabpfn and shap.

Realistic Evaluation of TabPFN v2 in Open Environments Predicting dementia in parkinson’s disease on a small tabular dataset using hybrid lightgbm–tabpfn and shap

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:21.171066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a59dea5-52ba-4f43-8212-361575b621b7 · outbound

This paper cites Attention is all you need.

Realistic Evaluation of TabPFN v2 in Open Environments Attention is all you need

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:21.092494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ccf61d71-a4d2-440e-98e2-40bc87d749cc · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:20.942115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aa40f3b0-bd20-441a-af76-1dcb5916fa65 · outbound

This paper cites Neural network credit scoring models.

Realistic Evaluation of TabPFN v2 in Open Environments Neural network credit scoring models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:20.825793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8a22fd2-eda9-4add-8cfa-d6e1df7328d7 · outbound

This paper cites Mixture of In-Context Prompters for Tabular PFNs.

Realistic Evaluation of TabPFN v2 in Open Environments Mixture of In-Context Prompters for Tabular PFNs

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:20.717074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 747f6727-425e-46ec-ad27-00c2e3fcd39d · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:18.573431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446363df-8960-465b-9799-a40000244f3a · outbound

This paper cites A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities.

Realistic Evaluation of TabPFN v2 in Open Environments A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:18.639429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b029f30-3f8d-4079-b831-7ddfba23877b · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Gradient Boosting Decision Trees on Medical Diagnosis over Tabular Data

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:08:19.286343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e51f567-3258-413a-b1f6-b308892f6471 · outbound

This paper cites Domain Generalization with MixStyle.

Realistic Evaluation of TabPFN v2 in Open Environments Domain Generalization with MixStyle

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:20.583655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a8b3690a-0bda-4fb5-9abe-79f7852db871 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments Fully Test-time Adaptation for Tabular Data

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:20.472908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e659f86-1144-46c7-808a-7078bcfa101a · outbound

This paper cites Open-environment machine learning.

Realistic Evaluation of TabPFN v2 in Open Environments Open-environment machine learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:20.275126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fb8e69f-e5fa-47a3-9095-b0383632855d · outbound

This paper cites Evolutionary learning: Advances in theories and algorithms.

Realistic Evaluation of TabPFN v2 in Open Environments Evolutionary learning: Advances in theories and algorithms

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:20.114614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64cc57bb-7272-4ad0-956f-94f7c1dc8997 · outbound

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

Realistic Evaluation of TabPFN v2 in Open Environments TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:18.997144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d12bed3-6c9f-4d48-b7ff-e3aab6881366 · outbound

This paper cites How to Add New Models.

Realistic Evaluation of TabPFN v2 in Open Environments How to Add New Models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:08:19.957307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 8ce1cb29-8858-4cc8-88d3-680bc296950a · inbound

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching cites this paper.

CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching Realistic Evaluation of TabPFN v2 in Open Environments

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:37.354841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04d6e0b4-50b4-4ea1-96ef-ef102430d389 · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? Realistic Evaluation of TabPFN v2 in Open Environments

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.422965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.