Paper Citation Record · LEDGER

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

As of 9 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 9 inbound Pith citation observations for arXiv:2502.02527.

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

pith.paper-citation-record.v1
2502.02527 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:56:25.087821Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

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

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:37.539366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.740048Z

Reference resolution

82 of 82 outbound references displayed

verified exact3
verified fuzzy53
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1da5efc3-d355-43ce-a224-e6f36083837a · outbound

This paper cites write newline.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.678596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7b357f-4299-4868-a769-b9186f481252 · outbound

This paper cites Intrinsic dimensionality explains the effectiveness of language model fine-tuning.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Intrinsic dimensionality explains the effectiveness of language model fine-tuning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.685404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1606e612-6e00-4c77-94e8-d62ae02d4df5 · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Optuna: A next-generation hyperparameter optimization framework

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.780441Z

Source-reported events for the cited work

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

Observation 35a07856-b718-4946-aafe-90aa75173420 · outbound

This paper cites Tangos: Regularizing tabular neural networks through gradient orthogonalization and specialization.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Tangos: Regularizing tabular neural networks through gradient orthogonalization and specialization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.764887Z

Source-reported events for the cited work

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

Observation fac38e44-3b32-413a-ac9a-88e2ac1f57b0 · outbound

This paper cites an unresolved cited work.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:56:26.749687Z

Source-reported events for the cited work

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

Observation 5bb97ac9-e063-41c1-bdf3-d5eae415621f · outbound

This paper cites Gradient Boosting Neural Networks: GrowNet.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Gradient Boosting Neural Networks: GrowNet

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.706317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c69c54-d9e2-4c58-a340-89ef4ec81a55 · outbound

This paper cites and Ronny, K.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems and Ronny, K

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.734799Z

Source-reported events for the cited work

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

Observation 93581cfc-8055-4dd7-988a-1f65ed64a752 · outbound

This paper cites W., Kasten, Y., and Kritchman, S.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems W., Kasten, Y., and Kritchman, S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.719673Z

Source-reported events for the cited work

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

Observation 62677b58-f1b5-404a-9912-bfa32bb12ed0 · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Deep neural networks and tabular data: A survey

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.704691Z

Source-reported events for the cited work

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

Observation be08f262-f55c-46a5-9182-362e77b9e898 · outbound

This paper cites Random forests.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Random forests

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.689171Z

Source-reported events for the cited work

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

Observation 3b417b6c-7108-4ed3-8775-c06fc1dae0a8 · outbound

This paper cites an unresolved cited work.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:56:26.673655Z

Source-reported events for the cited work

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

Observation 28c4a969-b3e2-4e13-bce4-5d365df31528 · outbound

This paper cites and Tay, F.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems and Tay, F

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.658887Z

Source-reported events for the cited work

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

Observation 9117b1bb-a487-4bb3-9a32-6b17c420bb87 · outbound

This paper cites Z., and Wu, J.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Z., and Wu, J

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.643914Z

Source-reported events for the cited work

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

Observation 80716db2-f197-4357-82a4-06a44141c219 · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Tabcaps: A capsule neural network for tabular data classification with bow routing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.629533Z

Source-reported events for the cited work

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

Observation 93236e05-551a-4ead-87ad-27df253b4980 · outbound

This paper cites Parameter-efficient fine-tuning design spaces.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Parameter-efficient fine-tuning design spaces

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.614514Z

Source-reported events for the cited work

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

Observation 541dd22a-1302-4f2a-b1de-72dffc744bae · outbound

This paper cites Z., Wu, J., and Sun, J.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Z., Wu, J., and Sun, J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.599821Z

Source-reported events for the cited work

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

Observation 16eed0f7-48eb-4449-bf21-0878fe1c4a0e · outbound

This paper cites Trompt: Towards a better deep neural network for tabular data.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Trompt: Towards a better deep neural network for tabular data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.585424Z

Source-reported events for the cited work

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

Observation d332056d-f0a1-4a37-a846-58b88ad082f9 · outbound

This paper cites and Guestrin, C.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems and Guestrin, C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.570282Z

Source-reported events for the cited work

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

Observation 632cb1a0-3969-4bf2-88d8-07bea71d0a60 · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Statistical comparisons of classifiers over multiple data sets

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.555419Z

Source-reported events for the cited work

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

Observation c899cd97-afba-4ed0-b1a5-fc85873ef01b · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.776786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cbd7380-e10e-4564-aa05-44cef988d934 · outbound

This paper cites an unresolved cited work.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:56:26.540338Z

Source-reported events for the cited work

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

Observation 7bc0384c-481c-4b33-916a-e8a2a16ef004 · outbound

This paper cites Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.787067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 676f9b6d-322f-4a26-842e-d52fe82ee413 · outbound

This paper cites TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.792326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation babe19fb-2d4d-463e-8ece-31cf79176d9a · outbound

This paper cites M., Lam, W., Bing, L., and Collier, N.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems M., Lam, W., Bing, L., and Collier, N

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.524984Z

Source-reported events for the cited work

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

Observation 8b923e4d-ba40-488e-9c25-801f6fcec767 · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Large Scale Transfer Learning for Tabular Data via Language Modeling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.802595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12a3f541-c3d3-4dd4-b593-6bf442dce989 · outbound

This paper cites Revisiting deep learning models for tabular data.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Revisiting deep learning models for tabular data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.509585Z

Source-reported events for the cited work

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

Observation a5dd137c-736d-4f58-a900-32d5b3db8d74 · outbound

This paper cites On embeddings for numerical features in tabular deep learning.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems On embeddings for numerical features in tabular deep learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.494248Z

Source-reported events for the cited work

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

Observation b56b66bd-4b45-4714-95e7-7b9b0621e6bb · outbound

This paper cites Tabr: Tabular deep learning meets nearest neighbors in 2023.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Tabr: Tabular deep learning meets nearest neighbors in 2023

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.479036Z

Source-reported events for the cited work

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

Observation 6c6a10e8-5fe9-4332-8269-3b433810c979 · outbound

This paper cites Tabm: Advancing tabular deep learning with parameter-efficient ensembling.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Tabm: Advancing tabular deep learning with parameter-efficient ensembling

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.463868Z

Source-reported events for the cited work

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

Observation bc163c22-1952-48ef-a5d6-ae392f6e5e21 · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data? In NeurIPS, pp.\ 507--520, 2022.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Why do tree-based models still outperform deep learning on typical tabular data? In NeurIPS, pp.\ 507--520, 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.448404Z

Source-reported events for the cited work

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

Observation e1fe5ac5-32ef-43ef-82c6-7e719bbf7c41 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.832002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b078283-5009-424b-8a50-406ec4560c9e · outbound

This paper cites R., Al-Insaif, S., Hossain, M.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems R., Al-Insaif, S., Hossain, M

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.433268Z

Source-reported events for the cited work

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

Observation 414a170b-9035-447d-a705-709c727b2dd7 · outbound

This paper cites Sensitivity-aware visual parameter-efficient fine-tuning.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Sensitivity-aware visual parameter-efficient fine-tuning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.418079Z

Source-reported events for the cited work

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

Observation 16217a3b-1ace-42eb-8f6c-d09f1c9b05a2 · outbound

This paper cites Tabpfn: A transformer that solves small tabular classification problems in a second.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Tabpfn: A transformer that solves small tabular classification problems in a second

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.402051Z

Source-reported events for the cited work

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

Observation a51bfc33-9c1a-4a4b-bbf3-0fb45c8a1b4c · outbound

This paper cites u ller, S., Purucker, L., Krishnakumar, A., K \.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems u ller, S., Purucker, L., Krishnakumar, A., K \

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.386435Z

Source-reported events for the cited work

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

Observation 0978539b-937e-4846-bc3b-7f1f525fc885 · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Better by default: Strong pre-tuned mlps and boosted trees on tabular data

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.371263Z

Source-reported events for the cited work

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

Observation 0de7c3b3-8214-45cb-9205-33462bb100bb · outbound

This paper cites B., Müller, S., Salinas, D., and Hutter, F.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems B., Müller, S., Salinas, D., and Hutter, F

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.862639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23203c7f-a8df-4097-a63c-443adf7d43d3 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Parameter-efficient transfer learning for NLP

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.355757Z

Source-reported events for the cited work

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

Observation f0e482c4-58ad-4762-9d90-2a085549d6f8 · outbound

This paper cites J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems J., Shen, Y., Wallis, P., Allen - Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.340489Z

Source-reported events for the cited work

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

Observation 18f640af-95cb-4655-a99c-c33215fe5793 · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.877657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aab5d74-1ffb-4328-a05b-d3e42de05288 · outbound

This paper cites Protogate: Prototype-based neural networks with global-to-local feature selection for tabular biomedical data.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Protogate: Prototype-based neural networks with global-to-local feature selection for tabular biomedical data

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.323740Z

Source-reported events for the cited work

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

Observation 13af7489-4500-41c0-aeed-dbde18bf25c3 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Lightgbm: A highly efficient gradient boosting decision tree

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.306225Z

Source-reported events for the cited work

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

Observation a00f6308-9f55-444b-a463-9a6a2cfe4c29 · outbound

This paper cites Self-normalizing neural networks.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Self-normalizing neural networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.290210Z

Source-reported events for the cited work

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

Observation c152ad0b-5586-4e22-a561-515ee764eb93 · outbound

This paper cites The power of scale for parameter-efficient prompt tuning.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems The power of scale for parameter-efficient prompt tuning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.273787Z

Source-reported events for the cited work

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

Observation 0d7394c3-848c-47eb-9b6d-dd85815abd72 · outbound

This paper cites an unresolved cited work.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:56:26.258245Z

Source-reported events for the cited work

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

Observation a0754d0a-d311-4cc6-8b83-0ae33142da49 · outbound

This paper cites Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.907626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bae51f6-f7f5-438d-900b-3a3eddadf743 · outbound

This paper cites M., and Zhao, S.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems M., and Zhao, S

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.242831Z

Source-reported events for the cited work

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

Observation eefe8f74-ab5d-45ad-9cb2-e3292e043fed · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems TALENT: A Tabular Analytics and Learning Toolbox

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.917412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22a69352-2d1c-426d-b806-3b71d71e7f78 · outbound

This paper cites and Hutter, F.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems and Hutter, F

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.922486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98ac0496-4f65-4436-9b88-e273ccba2245 · outbound

This paper cites TabPFGen -- Tabular Data Generation with TabPFN.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems TabPFGen -- Tabular Data Generation with TabPFN

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.927215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eef749d9-b75e-40ca-8ff2-dceb1907a846 · outbound

This paper cites C., Golestan, K., Yu, G., Volkovs, M., and Caterini, A.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems C., Golestan, K., Yu, G., Volkovs, M., and Caterini, A

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.932375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e354c06-cf48-4b6e-8862-b04f7b3fd230 · outbound

This paper cites In-Context Data Distillation with TabPFN.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems In-Context Data Distillation with TabPFN

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.937145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b814a28c-f0f8-4f0d-87fb-ec2f30c2b6c3 · outbound

This paper cites Unipelt: A unified framework for parameter-efficient language model tuning.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Unipelt: A unified framework for parameter-efficient language model tuning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.215803Z

Source-reported events for the cited work

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

Observation b3bf3d10-1a03-4d47-b691-04f8463a551f · outbound

This paper cites TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:56:25.318360Z

Source-reported events for the cited work

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

Observation 825b0ae3-f90f-4e27-ad21-cd395d511507 · outbound

This paper cites C., Khandagale, S., Valverde, J., C., V.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems C., Khandagale, S., Valverde, J., C., V

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.199229Z

Source-reported events for the cited work

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

Observation cda48c48-6803-475f-abc4-11c4764ca260 · outbound

This paper cites Statistical foundations of prior-data fitted networks.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Statistical foundations of prior-data fitted networks

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.183035Z

Source-reported events for the cited work

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

Observation c7aac879-df7d-4a86-a30e-ffc21de981a9 · outbound

This paper cites J., Aanen, S.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems J., Aanen, S

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.167350Z

Source-reported events for the cited work

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

Observation 53d0bddb-1b1a-4759-9bf6-1e37e891e17f · outbound

This paper cites Neural oblivious decision ensembles for deep learning on tabular data.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Neural oblivious decision ensembles for deep learning on tabular data

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:24.966238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0cf1e0c-df8a-483c-8753-9bab7cb387de · outbound

This paper cites O., Gusev, G., Vorobev, A., Dorogush, A.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems O., Gusev, G., Vorobev, A., Dorogush, A

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.140257Z

Source-reported events for the cited work

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

Observation 0f5f8bc4-0653-4ad2-80c5-c03c2c88b5ea · outbound

This paper cites an unresolved cited work.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-09T11:56:26.124482Z

Source-reported events for the cited work

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

Observation 525e6d0d-602e-4758-a3dd-11886a495e06 · outbound

This paper cites L., Ghasemipour, S.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems L., Ghasemipour, S

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.108006Z

Source-reported events for the cited work

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

Observation 5124fa5d-6424-45ac-9e8d-3058207a63a2 · outbound

This paper cites M., Woloshin, S., and Welch, H.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems M., Woloshin, S., and Welch, H

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.090387Z

Source-reported events for the cited work

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

Observation 6c49c426-7c72-4281-99d2-ea8c00120c6c · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Autoint: Automatic feature interaction learning via self-attentive neural networks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.074746Z

Source-reported events for the cited work

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

Observation 05d3b678-992b-4f5e-a6e1-80bf6da86aa5 · outbound

This paper cites Medical decision support system for diagnosis of neuromuscular disorders using dwt and fuzzy support vector machines.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Medical decision support system for diagnosis of neuromuscular disorders using dwt and fuzzy support vector machines

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.058561Z

Source-reported events for the cited work

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

Observation 8ebab21c-df75-4612-ae29-719c761c6142 · outbound

This paper cites Retrieval & Fine-Tuning for In-Context Tabular Models.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Retrieval & Fine-Tuning for In-Context Tabular Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:25.000372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e105116-4564-4baa-96a7-8440cadd6c74 · outbound

This paper cites Dylora: Parameter-efficient tuning of pre-trained models using dynamic search-free low-rank adaptation.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Dylora: Parameter-efficient tuning of pre-trained models using dynamic search-free low-rank adaptation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.042168Z

Source-reported events for the cited work

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

Observation f65f6d4c-c659-4d63-991d-8c20d5b5646f · outbound

This paper cites and van der Schaar, M.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems and van der Schaar, M

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:26.025145Z

Source-reported events for the cited work

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

Observation f3c6cffb-e6a0-4e42-8d72-4cbde14da367 · outbound

This paper cites and Hinton, G.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems and Hinton, G

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:25.016476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482a6e57-3e21-45af-b7d6-19cce56bab7b · outbound

This paper cites Deep & cross network for ad click predictions.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Deep & cross network for ad click predictions

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.998410Z

Source-reported events for the cited work

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

Observation 86380d58-1090-4e10-9e3f-71618f4a0841 · outbound

This paper cites Z., Jain, S., Lin, D., Hong, L., and Chi, E.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Z., Jain, S., Lin, D., Hong, L., and Chi, E

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.982476Z

Source-reported events for the cited work

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

Observation 2cc5aede-9183-484a-9f51-6211965d61c0 · outbound

This paper cites and Sun, J.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems and Sun, J

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.965133Z

Source-reported events for the cited work

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

Observation 9c25264f-486c-425b-8c00-99540a514d39 · outbound

This paper cites Batchensemble: an alternative approach to efficient ensemble and lifelong learning.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Batchensemble: an alternative approach to efficient ensemble and lifelong learning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:25.036701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e86a083-4fa4-4763-93e0-c241787cd9eb · outbound

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

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Switchtab: Switched autoencoders are effective tabular learners

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.937801Z

Source-reported events for the cited work

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

Observation ffddd7b3-fb8d-4745-829d-f8dd66662e99 · outbound

This paper cites Mixture of in-context prompters for tabular pfns.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Mixture of in-context prompters for tabular pfns

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.921567Z

Source-reported events for the cited work

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

Observation fc38e87c-7c7e-420e-9061-92ae87ab6111 · outbound

This paper cites Z., Sun, J., Wu, J., and Chen, J.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Z., Sun, J., Wu, J., and Chen, J

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.904200Z

Source-reported events for the cited work

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

Observation 30d0572c-d3bf-4351-bf50-04459223373e · outbound

This paper cites Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:56:25.278345Z

Source-reported events for the cited work

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

Observation 42a24241-91dc-460e-aaf3-ab877eee1f6d · outbound

This paper cites Ptarl: Prototype-based tabular representation learning via space calibration.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Ptarl: Prototype-based tabular representation learning via space calibration

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.887906Z

Source-reported events for the cited work

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

Observation f4987cf9-846c-439e-bdf3-53136ac3a684 · outbound

This paper cites A closer look at deep learning on tabular data.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems A closer look at deep learning on tabular data

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-09T11:56:25.067492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a989cbca-cad0-4d8e-a791-968f3d8a1ff8 · outbound

This paper cites Modern neighborhood components analysis: A deep tabular baseline two decades later.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Modern neighborhood components analysis: A deep tabular baseline two decades later

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.871957Z

Source-reported events for the cited work

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

Observation 38e85e48-5384-4318-b17d-b21b26dffdd2 · outbound

This paper cites O., Sax, A., Zamir, A., Guibas, L.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems O., Sax, A., Zamir, A., Guibas, L

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.855292Z

Source-reported events for the cited work

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

Observation 811fc547-d103-41e6-8722-be7f266f0412 · outbound

This paper cites Unlocking the Transferability of Tokens in Deep Models for Tabular Data.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Unlocking the Transferability of Tokens in Deep Models for Tabular Data

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-09T11:56:25.134673Z

Source-reported events for the cited work

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

Observation fd0e3888-d4d3-4054-9d54-44fea3acbf9e · outbound

This paper cites Xtab: Cross-table pretraining for tabular transformers.

TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Xtab: Cross-table pretraining for tabular transformers

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T11:56:25.839266Z

Source-reported events for the cited work

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

Pith citing papers

Observation 5754cf65-c4a3-43bf-9834-6b0b9260a335 · inbound

Table Foundation Models: on knowledge pre-training for tabular learning cites this paper.

Table Foundation Models: on knowledge pre-training for tabular learning TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:38:37.539366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:16.501069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d824fe27-0c82-4518-a34a-1467c848d2b3 · inbound

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses cites this paper.

On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.023665Z

Source-reported events for the cited work

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

Observation b4a4a72c-816d-45e7-b9d2-b1ec3ccf1678 · inbound

Multimodal Tabular Reasoning with Privileged Structured Information cites this paper.

Multimodal Tabular Reasoning with Privileged Structured Information TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:00.418094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1458bdb7-1c2b-4c46-968a-ad5ea446623e · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:46:08.314674Z

Source-reported events for the cited work

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

Observation f852eb4e-669a-4a87-b745-6422c8f165df · inbound

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models cites this paper.

TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:56:32.287148Z

Source-reported events for the cited work

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

Observation 28316e2c-9ad8-4663-b564-495ca8fceff3 · inbound

VIP-COP: Context Optimization for Tabular Foundation Models cites this paper.

VIP-COP: Context Optimization for Tabular Foundation Models TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:09:26.301351Z

Source-reported events for the cited work

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

Observation 96fdd657-1a8c-449a-a01b-a14a0745ebc1 · inbound

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks cites this paper.

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.741654Z

Source-reported events for the cited work

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

Observation 8c56800c-53f8-41cf-aad8-6fb7dbf2a156 · inbound

RamanPFN: learning from Raman spectral structure with a tabular foundation model cites this paper.

RamanPFN: learning from Raman spectral structure with a tabular foundation model TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:38:08.029004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.