Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:19.065830Z
Paper Citation Record · LEDGER
Realistic Evaluation of TabPFN v2 in Open Environments
As of 10 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T06:59:14.626274Z
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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- malformed identifier0
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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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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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 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
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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 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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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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 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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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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 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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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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 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
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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 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
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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 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
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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 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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90ded69e-6e2d-4494-b026-2a485d785d23 · outbound
This paper cites an unresolved cited work.
Realistic Evaluation of TabPFN v2 in Open Environments Unresolved cited work
Reference 17
- Resolution
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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 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
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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 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 2026-08-10T06:31:04.303077+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
- Resolution
- verified fuzzy
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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 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
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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 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
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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 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
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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 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
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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 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 2026-08-10T06:31:04.303077+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
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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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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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 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
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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 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
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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 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
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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 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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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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 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 2026-08-10T06:31:04.303077+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
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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 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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
Unavailable: canonical work link unavailable.
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.