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Paper Citation Record · LEDGER

Towards Benchmarking Foundation Models for Tabular Data With Text

As of 22 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 2026-08-22T06:32:14.747728+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
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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:46.629336Z digest=sha256:d73f9d554010b85d012d6e4819283ed262531b6eb0b4375c149bf521ca4d3aa8

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

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

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source=arxiv_source observed=2026-08-06T18:36:46.741921Z digest=sha256:cad16c0848505dc5d653467741ba9ed0b808dd9ba1dec6009de92a84a956a818

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

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

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source=arxiv_source observed=2026-08-06T18:36:46.868838Z digest=sha256:9deca24ef0c1108181de3277273e6ed9b101bb58f4d14b702eb73e445ec6a86a

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

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

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source=arxiv_source observed=2026-08-06T18:36:47.052197Z digest=sha256:471dd1d7f2962e2eb8c41a28f58d8fa1cb71e9ed5eabd7981794f9daadd6b1d6

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

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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 2026-08-22T06:32:14.747728+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T18:36:47.546239Z digest=sha256:dfd6bcb6621095b15d93f059179bf76c119bf423f0b86c2e0de7510ea5fa94d1

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

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

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Unavailable: canonical work link unavailable.

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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

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

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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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T18:36:47.771782Z digest=sha256:b8428cf634bff8d2c6aa6f6d2ccfa5240d19340eb4866a981c21d3b211970ee5

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:47.776363Z digest=sha256:15232a4b1acc62ef2bc581bd95d8aae50a3173e2ba01dfbb4b027545ee4082eb

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:47.781086Z digest=sha256:63e6ab75e70edd71d57f767cccbf66afef3d0d655463d8580ca01a9e9ee871a5

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

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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

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

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source=arxiv_source observed=2026-08-06T18:36:47.796759Z digest=sha256:8eb7823fe38d259149435d57a22f76b0361cc4abd8f53f4e3b66ece9aae8e011

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:47.801181Z digest=sha256:43b7028eff4c81441562d9c55a34591cae7024485d5d53bd5ee88b1914b9ee8b

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

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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

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

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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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-06T18:36:47.928885Z digest=sha256:36089cf569f31bb314e53618e824d2c2b123d183f32c88189cab1405f359b581

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

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source=arxiv_source observed=2026-08-06T18:36:47.933777Z digest=sha256:902456596de91563408209caa0ca12044635e91bf55515e046d4a3eaa57961f3

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:47.938962Z digest=sha256:19c5d54f5e2df61deea5e7d857b7249e759e7238cc8012368a1da1b12fab8264

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

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

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source=arxiv_source observed=2026-08-06T18:36:47.943525Z digest=sha256:a72377cda354a8fb640b162d719b7b9aa1b7a6ea5684d29cb7c46fe4bce0bf3c

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

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source=arxiv_source observed=2026-08-06T18:36:47.948093Z digest=sha256:31804415ed9e0f64c03e7fb5d5934308d3ee76e24fbf847582e12e588939f34c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:47.952726Z digest=sha256:676e7fe52d12347a93305af623e56636c420fe8d8e1f16e6aedad1f776caf0cb

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:47.958225Z digest=sha256:c12e4295cfc80aedd83f98de2e6438995474934d3691239738636aebf6125075

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T05:13:15.039160Z digest=sha256:1eda512082b086b68657e48dd32e152c913475938becc021d7d073d125281973

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

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T06:59:14.626274Z digest=sha256:904459af6db03a8b016094f519935cc1591706a37343b26f485c125b5ff9807f

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-30T07:34:47.760875Z digest=sha256:eb8f4fe69843573636a93ea519b12e71d5f6a5a9c81815d34af5f397143693bd