Paper Citation Record · LEDGER

Towards Benchmarking Foundation Models for Tabular Data With Text

As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2507.07829.

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

pith.paper-citation-record.v1
2507.07829 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:36:47.958225Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T07:34:47.760875Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T08:04:29.090042Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy2
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c7d4019-78e6-4a09-b12b-428e12e41c91 · outbound

This paper cites write newline.

Towards Benchmarking Foundation Models for Tabular Data With Text write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:46.629336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baf2414d-065f-4a50-a179-fcdb89fd3b6b · outbound

This paper cites OpenML Benchmarking Suites.

Towards Benchmarking Foundation Models for Tabular Data With Text OpenML Benchmarking Suites

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:46.741921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 377f81f8-07a2-4e19-8c55-b165bf9a981d · outbound

This paper cites Enriching Word Vectors with Subword Information.

Towards Benchmarking Foundation Models for Tabular Data With Text Enriching Word Vectors with Subword Information

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:46.868838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483d32a2-ff1e-4cbd-a28b-b3533f925e72 · outbound

This paper cites V., Na, L., Ma, Y., Boussioux, L., Zeng, C., Soenksen, L.

Towards Benchmarking Foundation Models for Tabular Data With Text V., Na, L., Ma, Y., Boussioux, L., Zeng, C., Soenksen, L

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.052197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 877e9463-acaa-49d1-abe0-80df7238f766 · outbound

This paper cites and Guestrin, C.

Towards Benchmarking Foundation Models for Tabular Data With Text and Guestrin, C

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:48.592767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation da1cfbfd-2367-4aa7-b9d3-abe8e32e0193 · outbound

This paper cites AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Towards Benchmarking Foundation Models for Tabular Data With Text AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.379543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd806105-fa00-42c0-8498-182df74f00b6 · outbound

This paper cites AMLB: an AutoML Benchmark.

Towards Benchmarking Foundation Models for Tabular Data With Text AMLB: an AutoML Benchmark

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.491670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bacee3e0-ffd2-49d5-a053-b5645203fb63 · outbound

This paper cites L., Amaral, L.

Towards Benchmarking Foundation Models for Tabular Data With Text L., Amaral, L

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:36:48.572115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 397e6b2c-c2bc-48c7-9a81-fad9763d348b · outbound

This paper cites Vectorizing string entries for data processing on tables: when are larger language models better?.

Towards Benchmarking Foundation Models for Tabular Data With Text Vectorizing string entries for data processing on tables: when are larger language models better?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.624023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 553da31f-b73a-417e-bc29-3f3a0fffff2d · outbound

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

Towards Benchmarking Foundation Models for Tabular Data With Text TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.741196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a0e2f26-28a3-4db7-99dd-1e2047a4d95b · outbound

This paper cites Machine Learning for Health symposium 2023 -- Findings track.

Towards Benchmarking Foundation Models for Tabular Data With Text Machine Learning for Health symposium 2023 -- Findings track

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T18:36:48.343264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d999283-7563-4363-a603-ddc2a8712cc4 · outbound

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

Towards Benchmarking Foundation Models for Tabular Data With Text u ller, S., Purucker, L., Krishnakumar, A., K \

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.776363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f229c0d-7b38-45e0-871a-c7df06729364 · outbound

This paper cites CARTE: Pretraining and Transfer for Tabular Learning.

Towards Benchmarking Foundation Models for Tabular Data With Text CARTE: Pretraining and Transfer for Tabular Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.781086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cfe51fd-5639-4fb0-b60c-704ef2f0020a · outbound

This paper cites LLM Embeddings for Deep Learning on Tabular Data.

Towards Benchmarking Foundation Models for Tabular Data With Text LLM Embeddings for Deep Learning on Tabular Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.785860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2b6bb55-8deb-414c-8e46-6085c0fd301d · outbound

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

Towards Benchmarking Foundation Models for Tabular Data With Text TALENT: A Tabular Analytics and Learning Toolbox

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.790726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d212f918-239c-42a2-a6cb-30ab6f33bb59 · outbound

This paper cites Mug: A multimodal classification benchmark on game data with tabular, textual, and visual fields.

Towards Benchmarking Foundation Models for Tabular Data With Text Mug: A multimodal classification benchmark on game data with tabular, textual, and visual fields

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.796759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e193bd7-f170-4e32-afac-bd6d0fee7595 · outbound

This paper cites an unresolved cited work.

Towards Benchmarking Foundation Models for Tabular Data With Text Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.801181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1bc50d-5e66-4035-9d14-95163b290aee · outbound

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

Towards Benchmarking Foundation Models for Tabular Data With Text C., Golestan, K., Yu, G., Volkovs, M., and Caterini, A

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.805612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de99a1bf-5ee9-4548-b326-cb14bf0be713 · outbound

This paper cites and Ratajczak, W.

Towards Benchmarking Foundation Models for Tabular Data With Text and Ratajczak, W

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.923586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b77ceb41-ea15-4e30-a9a0-62a0e3e34b3d · outbound

This paper cites an unresolved cited work.

Towards Benchmarking Foundation Models for Tabular Data With Text Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:36:48.542595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3c40f97a-7d09-4260-87f3-95a17bc30202 · outbound

This paper cites When Do Neural Nets Outperform Boosted Trees on Tabular Data?.

Towards Benchmarking Foundation Models for Tabular Data With Text When Do Neural Nets Outperform Boosted Trees on Tabular Data?

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.933777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f4a16d-b51d-445d-b8e4-85069cf05237 · outbound

This paper cites Benchmarking Multimodal AutoML for Tabular Data with Text Fields.

Towards Benchmarking Foundation Models for Tabular Data With Text Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.938962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68150fff-f389-4666-be6f-8c868c976331 · outbound

This paper cites JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs.

Towards Benchmarking Foundation Models for Tabular Data With Text JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.943525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7cd1408-79a6-4cfc-98cf-5c62396afbdd · outbound

This paper cites AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models.

Towards Benchmarking Foundation Models for Tabular Data With Text AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.948093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39807671-9e31-42b6-b726-dd81eba8cd87 · outbound

This paper cites MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers.

Towards Benchmarking Foundation Models for Tabular Data With Text MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.952726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df858277-3b94-4495-b64a-1bbc205d457e · outbound

This paper cites TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios.

Towards Benchmarking Foundation Models for Tabular Data With Text TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:47.958225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 036e564d-2896-4d9d-a8c4-e74202eb4aa7 · inbound

STRABLE: Benchmarking Tabular Machine Learning with Strings cites this paper.

STRABLE: Benchmarking Tabular Machine Learning with Strings Towards Benchmarking Foundation Models for Tabular Data With Text

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:17:18.441754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 378dff40-5ec7-4857-906e-3d4ce8efecff · inbound

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

Beyond IID: How General Are Tabular Foundation Models, Really? Towards Benchmarking Foundation Models for Tabular Data With Text

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:04:21.420092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4a372cec-af06-47c5-9513-4821a51dd7f5 · inbound

Exploring Differences Between Tabular Enterprise Data and Public Benchmarks cites this paper.

Exploring Differences Between Tabular Enterprise Data and Public Benchmarks Towards Benchmarking Foundation Models for Tabular Data With Text

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:04:29.091444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.