Paper Citation Record · LEDGER

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 12 inbound Pith citation observations for arXiv:2507.03971.

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

pith.paper-citation-record.v1
2507.03971 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:02:23.876137Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:37:44.328625Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy1
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17d8d005-d44d-49d8-82a7-1a793b6090bb · outbound

This paper cites Web data commons - web table corpus 2015 / english-language relational subset,.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Web data commons - web table corpus 2015 / english-language relational subset,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:24.672377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3b74c694-9d70-4a54-aabc-1fdda53cc4f6 · outbound

This paper cites AMLB: an AutoML Benchmark.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data AMLB: an AutoML Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.715909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44c16dea-05a8-4c61-9263-850320855b9e · outbound

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

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.905563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de044f67-7e40-4ec5-bf34-b7c96ebfcd95 · outbound

This paper cites doi: 10.1073/pnas.1611835114.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data doi: 10.1073/pnas.1611835114

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.261687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac51047b-7cfd-48f7-8867-c392c8b9c4a5 · outbound

This paper cites an unresolved cited work.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.406896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7aba3c2-448d-4860-bf71-2d8505424f65 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.512645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7584a499-e8e8-4750-ab91-5a2ff09e7c1b · outbound

This paper cites TabICL: A Tabular Foundation Model for In-Context Learning on Large Data.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data TabICL: A Tabular Foundation Model for In-Context Learning on Large Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.562165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f77337be-3b6c-4e19-870b-df14698f79e9 · outbound

This paper cites TabularFM: An Open Framework For Tabular Foundational Models.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data TabularFM: An Open Framework For Tabular Foundational Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:02:24.190767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f97ea454-45a6-4016-85b6-b015cfeeacc0 · outbound

This paper cites an unresolved cited work.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:02:24.568641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e145f773-fb1d-41be-b667-56f7f89a7016 · outbound

This paper cites Dorogush, A.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Dorogush, A

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.454927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0739529b-7ee1-4cf0-aaac-dfe372a75fd5 · outbound

This paper cites URL http://doi.acm.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data URL http://doi.acm

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.787071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef7ed0ad-0cf2-420b-b826-9b67af149960 · outbound

This paper cites XGBoost: A Scalable Tree Boosting System.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data XGBoost: A Scalable Tree Boosting System

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.380072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ed1bb63-7304-4a01-8340-f50003c4910d · outbound

This paper cites CatBoost: unbiased boosting with categorical features.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data CatBoost: unbiased boosting with categorical features

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.559807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71ccf195-1757-46f5-84f6-5f6bbb6ba282 · outbound

This paper cites Explicit Inductive Bias for Transfer Learning with Convolutional Networks.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Explicit Inductive Bias for Transfer Learning with Convolutional Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.337927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f8c80a-51c6-40b8-997c-15fcc747e3a6 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.648420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 262858e6-4e90-4ed2-a5c3-ace6a2f3a1d9 · outbound

This paper cites doi: 10.18653/v1/2020.acl-main.740.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data doi: 10.18653/v1/2020.acl-main.740

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.851574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce7f499b-7541-4d97-8f97-0c719274fbe3 · outbound

This paper cites GitTables: A Large-Scale Corpus of Relational Tables.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data GitTables: A Large-Scale Corpus of Relational Tables

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.108393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8643633-b079-4c17-aff6-6fd893889ab1 · outbound

This paper cites Why do tree-based models still outperform deep learning on tabular data?.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Why do tree-based models still outperform deep learning on tabular data?

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.768675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50725782-dcbc-45d2-bc7d-2b6bf6538d6a · outbound

This paper cites TabLib: A Dataset of 627M Tables with Context.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data TabLib: A Dataset of 627M Tables with Context

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.624647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 367caea1-da5b-4b5a-98a1-cae7a28bf80c · outbound

This paper cites Investigating Data Contamination for Pre-training Language Models.

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Investigating Data Contamination for Pre-training Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:23.208794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3e5aef1-d20f-458e-91af-1e454a441b98 · outbound

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

Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiers

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:22.414784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9f6df378-1093-4e43-8498-41b4ed398e6f · inbound

TabArena: A Living Benchmark for Machine Learning on Tabular Data cites this paper.

TabArena: A Living Benchmark for Machine Learning on Tabular Data Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:42:12.692808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51db49e4-a95a-4bdd-8866-ee0e5a39063f · inbound

TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models cites this paper.

TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:14:45.624225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a97a5cd2-291a-4222-affe-94552518b92c · inbound

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection cites this paper.

MacrOData: New Benchmarks of Thousands of Datasets for Tabular Outlier Detection Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:10:40.787911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a7aaf055-b27b-40bb-81d0-7ed890e5e73b · inbound

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data cites this paper.

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:30:00.280825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 762bb051-0697-4147-a790-d742741ef572 · inbound

KumoRFM-2: Scaling Foundation Models for Relational Learning cites this paper.

KumoRFM-2: Scaling Foundation Models for Relational Learning Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:46:06.167339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7683e625-09ab-4b0d-a66f-dc620812aab1 · inbound

Tabular foundation models for in-context prediction of molecular properties cites this paper.

Tabular foundation models for in-context prediction of molecular properties Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:43:01.403841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2732aca1-3414-4ca9-8906-f5bbafad8ea0 · inbound

Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning cites this paper.

Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:45.962545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5dd484f1-10f5-45f0-8d74-38b19fcb910f · inbound

Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap cites this paper.

Ensembling Tabular Foundation Models - A Diversity Ceiling And A Calibration Trap Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:03:18.024407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d2b4756f-3995-4b0f-b1da-3b6024692507 · inbound

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach cites this paper.

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:43:05.553618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8616f651-a6a2-4af7-9d9c-943370f49e98 · inbound

Simultaneous hyperkinetic movement disorders phenotyping: a cross-cohort pediatric transfer study using routine videos, markerless pose estimation and a tabular foundation model cites this paper.

Simultaneous hyperkinetic movement disorders phenotyping: a cross-cohort pediatric transfer study using routine videos, markerless pose estimation and a tabular foundation model Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T02:21:29.285777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b28e5d77-8a73-4dca-8451-0881ea39618e · inbound

Efficient Adaptive Data Acquisition via Pretrained Belief Representations cites this paper.

Efficient Adaptive Data Acquisition via Pretrained Belief Representations Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:30:00.755921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5051cf63-424b-457e-8076-915eb1a80efd · inbound

Probing Memorization of Tabular In-Context Learning cites this paper.

Probing Memorization of Tabular In-Context Learning Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:25:40.784490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.