Paper Citation Record · LEDGER

Transfer Learning of Tabular Data by Finetuning Large Language Models

As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2501.06863.

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

pith.paper-citation-record.v1
2501.06863 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:52:41.419145Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:25.711864Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T11:46:25.996937Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy24
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29674dfa-2009-444d-94b2-78c03ad9031d · outbound

This paper cites Survey on Deep Neural Networks in Speech and Vision Systems.

Transfer Learning of Tabular Data by Finetuning Large Language Models Survey on Deep Neural Networks in Speech and Vision Systems

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.939900Z

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.

Observation e58f3a86-5420-4ae1-88b1-8024f4bd8f53 · outbound

This paper cites Deep clustering of electronic health records tabular data for clinical interpretation.

Transfer Learning of Tabular Data by Finetuning Large Language Models Deep clustering of electronic health records tabular data for clinical interpretation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.922790Z

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.

Observation 9d7c3879-44d0-4a42-ade7-095fa3d2f806 · outbound

This paper cites Rabbani, Ivan V.

Transfer Learning of Tabular Data by Finetuning Large Language Models Rabbani, Ivan V

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.905787Z

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.

Observation 9d1fc0c8-514d-4c83-babe-06fa4283a815 · outbound

This paper cites Well-tuned simple nets excel on tabular datasets.

Transfer Learning of Tabular Data by Finetuning Large Language Models Well-tuned simple nets excel on tabular datasets

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.888442Z

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.

Observation 2e85f2f8-492b-493a-be5f-aec8b572ba9c · outbound

This paper cites Tabular data: Deep learning is not all you need.

Transfer Learning of Tabular Data by Finetuning Large Language Models Tabular data: Deep learning is not all you need

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.869290Z

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.

Observation 56f986d2-d139-4c80-b433-2daa0ad23ce7 · outbound

This paper cites Kwok, and Lionel M.

Transfer Learning of Tabular Data by Finetuning Large Language Models Kwok, and Lionel M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.853125Z

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.

Observation 7b7f9aa8-e39b-4530-bbaf-5d88e6f44108 · outbound

This paper cites STUNT: Few-shot tabular learn- ing with self-generated tasks from unlabeled tables.

Transfer Learning of Tabular Data by Finetuning Large Language Models STUNT: Few-shot tabular learn- ing with self-generated tasks from unlabeled tables

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.836767Z

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.

Observation 29db5515-6803-4432-8043-a306a0914660 · outbound

This paper cites Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning.

Transfer Learning of Tabular Data by Finetuning Large Language Models Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.820248Z

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.

Observation 92684109-d27b-4dd2-925f-0ffeb81cb15a · outbound

This paper cites Gradient boosting trees and large language models for tabular data few-shot learning.

Transfer Learning of Tabular Data by Finetuning Large Language Models Gradient boosting trees and large language models for tabular data few-shot learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.804145Z

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.

Observation 6f374f16-3aa6-4492-b7d2-49d69d372faf · outbound

This paper cites Tabllm: Few-shot classification of tabular data with large language models.

Transfer Learning of Tabular Data by Finetuning Large Language Models Tabllm: Few-shot classification of tabular data with large language models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:41.324288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d51db1-b3eb-49d9-a2f6-f3fe11d05481 · outbound

This paper cites Ho, Carl Yang, and May Dongmei Wang.

Transfer Learning of Tabular Data by Finetuning Large Language Models Ho, Carl Yang, and May Dongmei Wang

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.777370Z

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.

Observation f388a25e-d093-4f57-b45c-857001f1c9c6 · outbound

This paper cites Cancergpt for few shot drug pair synergy prediction using large pretrained language models.

Transfer Learning of Tabular Data by Finetuning Large Language Models Cancergpt for few shot drug pair synergy prediction using large pretrained language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.760505Z

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.

Observation 34afe953-cbb5-4c0a-924c-2d4683754cf9 · outbound

This paper cites Tablet: Learning from instructions for tabular data, 2023.

Transfer Learning of Tabular Data by Finetuning Large Language Models Tablet: Learning from instructions for tabular data, 2023

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.741398Z

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.

Observation 0bdc331f-76f7-4787-8d3e-070dcd7acaf7 · outbound

This paper cites Deep learning does not outperform classical machine learning for cell-type annotation.

Transfer Learning of Tabular Data by Finetuning Large Language Models Deep learning does not outperform classical machine learning for cell-type annotation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.722450Z

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.

Observation 15dd19cd-6c91-427f-a623-3e4d888b52ff · outbound

This paper cites Deep Neural Networks and Tabular Data: A Survey.

Transfer Learning of Tabular Data by Finetuning Large Language Models Deep Neural Networks and Tabular Data: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:41.348080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b1776b-3f31-472e-9d47-353108d7840a · outbound

This paper cites an unresolved cited work.

Transfer Learning of Tabular Data by Finetuning Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:52:41.703148Z

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.

Observation 7eb8a8fe-157f-444e-9228-25e2dda48f69 · outbound

This paper cites Revisiting deep learning models for tabular data.

Transfer Learning of Tabular Data by Finetuning Large Language Models Revisiting deep learning models for tabular data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.683883Z

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.

Observation ef8f1b48-34be-458a-9fd6-c9a22d21d7af · outbound

This paper cites T2g-former: organizing tabular features into relation graphs promotes heterogeneous feature interaction.

Transfer Learning of Tabular Data by Finetuning Large Language Models T2g-former: organizing tabular features into relation graphs promotes heterogeneous feature interaction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.664827Z

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.

Observation 4b5174c7-5c11-4d77-9c6c-2996315d3353 · outbound

This paper cites Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding – A Survey.

Transfer Learning of Tabular Data by Finetuning Large Language Models Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding – A Survey

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.647293Z

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.

Observation 189d690b-de70-4730-ac4c-b051fba19077 · outbound

This paper cites an unresolved cited work.

Transfer Learning of Tabular Data by Finetuning Large Language Models Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:41.372725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48a14ede-4538-42f9-9ea3-3110205a9e58 · outbound

This paper cites LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks.

Transfer Learning of Tabular Data by Finetuning Large Language Models LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.618237Z

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.

Observation 648175ea-574d-4833-8366-8ed4ca2e1818 · outbound

This paper cites Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter.

Transfer Learning of Tabular Data by Finetuning Large Language Models Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.599492Z

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.

Observation 17a97253-14cf-49aa-a189-bc8440fa87c4 · outbound

This paper cites Distilgpt2.

Transfer Learning of Tabular Data by Finetuning Large Language Models Distilgpt2

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.583026Z

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.

Observation 44ae295a-43e0-4a17-9f81-aa2a4a5f5cf0 · outbound

This paper cites Aligning books and movies: Towards story-like visual explanations by watching movies and reading books.

Transfer Learning of Tabular Data by Finetuning Large Language Models Aligning books and movies: Towards story-like visual explanations by watching movies and reading books

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.566505Z

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.

Observation 56316364-dccc-439c-b272-a785f1e1a277 · outbound

This paper cites SCARF: Self-supervised contrastive learning using random feature corruption.

Transfer Learning of Tabular Data by Finetuning Large Language Models SCARF: Self-supervised contrastive learning using random feature corruption

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.549551Z

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.

Observation b8c24e46-4bff-4cb6-bd79-7c8569dadbfc · outbound

This paper cites Rabbani, Ivan V.

Transfer Learning of Tabular Data by Finetuning Large Language Models Rabbani, Ivan V

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.532870Z

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.

Observation f7d54a68-4f4b-4d0e-880e-d88b10263030 · outbound

This paper cites Pedregosa, G.

Transfer Learning of Tabular Data by Finetuning Large Language Models Pedregosa, G

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:41.404614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deaaa559-5ad6-4892-8bfb-33ca993fb12b · outbound

This paper cites UCI machine learning repository, 2017.

Transfer Learning of Tabular Data by Finetuning Large Language Models UCI machine learning repository, 2017

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:41.409595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2827374d-8b92-4235-92f4-c0edf2cb2ef6 · outbound

This paper cites van Rijn, Bernd Bischl, and Luis Torgo.

Transfer Learning of Tabular Data by Finetuning Large Language Models van Rijn, Bernd Bischl, and Luis Torgo

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.493973Z

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.

Observation e474bd30-10a1-4e5b-8ac5-9e9e1730fea7 · outbound

This paper cites The health gym: synthetic health-related datasets for the development of reinforcement learning algorithms.

Transfer Learning of Tabular Data by Finetuning Large Language Models The health gym: synthetic health-related datasets for the development of reinforcement learning algorithms

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:52:41.476018Z

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.

Pith citing papers

Observation dd55a836-3f22-41e9-8789-8d13a1cb839d · inbound

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction cites this paper.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Transfer Learning of Tabular Data by Finetuning Large Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:46:26.002436Z

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.