Paper Citation Record · LEDGER

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 83 inbound Pith citation observations for arXiv:2003.06505.

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

pith.paper-citation-record.v1
2003.06505 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T10:34:31.790266Z

measured 119 of 119 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 83 of 83 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:26.672316Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

36 of 36 outbound references displayed

verified exact2
verified fuzzy26
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

157
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6b1acc90-c730-451f-9028-0b868c776b90 · outbound

This paper cites CatBoost: gradient boosting with categorical features support.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data CatBoost: gradient boosting with categorical features support

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T10:34:31.815720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd27223a-4adb-43fa-9749-2f326c348651 · outbound

This paper cites Kotthoff, L., Thornton, C., Hoos, H.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Kotthoff, L., Thornton, C., Hoos, H

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.894820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0731ae25-affd-44c0-898b-cfb4c4f77759 · outbound

This paper cites Parmanto, B., Munro, P.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Parmanto, B., Munro, P

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.896817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ff67fde4-f50c-47cc-b495-869d519acc22 · outbound

This paper cites Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.808918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation faa75f9a-2249-4c35-97d4-2f94411ac0f8 · outbound

This paper cites This caused failures on 5 datasets: Australian, blood-transfusion, cnae-9, credit-g, and vehicle.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This caused failures on 5 datasets: Australian, blood-transfusion, cnae-9, credit-g, and vehicle

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.818993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a23ab9b-0024-4f93-91c1-bf67e37d0c4b · outbound

This paper cites Maximum number is: 1000 GCP-Tables has a limitation of requiring no more than 1000 features.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Maximum number is: 1000 GCP-Tables has a limitation of requiring no more than 1000 features

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.821185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7b127b6-1d30-4bc1-be13-9f9c34bad62c · outbound

This paper cites Because not all class probabilities were returned, the log-loss would have been inﬁnite, and thus we consider this a failure.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Because not all class probabilities were returned, the log-loss would have been inﬁnite, and thus we consider this a failure

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.823292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 07ed9cfa-ac6e-4f89-8350-ee1f74e62336 · outbound

This paper cites There must be at least one instance of each label value in every split.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data There must be at least one instance of each label value in every split

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.825420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77827646-ff87-43da-b9b6-ed1502d88b69 · outbound

This paper cites an unresolved cited work.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:34:31.827310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58deae47-b5bf-43d0-86e0-234e40610607 · outbound

This paper cites an unresolved cited work.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:34:31.829601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14bea495-8e7d-47cd-848b-3fc24a912264 · outbound

This paper cites This error occurred on 1 dataset: Dionis.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This error occurred on 1 dataset: Dionis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.831564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d1f4bc3-159a-45d8-8dd3-129e7ad3fb37 · outbound

This paper cites On 5 of the 10 folds, H2O trained for approximately 90,000 seconds (25 hours), compared to the requested 4 hours.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data On 5 of the 10 folds, H2O trained for approximately 90,000 seconds (25 hours), compared to the requested 4 hours

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.834034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38eb1466-e0b9-4c60-b7e1-4cd7050a600b · outbound

This paper cites an unresolved cited work.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:34:31.836096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7834c6c6-6e7d-49fd-a303-669d30514fcc · outbound

This paper cites This error occurred on 1 dataset: Dionis.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This error occurred on 1 dataset: Dionis

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.838091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40f318ad-1aae-43b1-8c2b-080ec998bf74 · outbound

This paper cites This error occurred on 1 dataset: phoneme.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This error occurred on 1 dataset: phoneme

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.840035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ac15f2f3-60ca-4a3a-9805-c7f6be8f84c2 · outbound

This paper cites For these results, we gave each algorithm up to 3 times the allocated time to ﬁnish, and these datasets were still running for TPOT.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data For these results, we gave each algorithm up to 3 times the allocated time to ﬁnish, and these datasets were still running for TPOT

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.842419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4cedd229-0031-4bf3-b859-e92b9135b211 · outbound

This paper cites Please call fit() first.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Please call fit() first

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.844630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a041dd1d-06f2-4d68-a5f6-144836a56888 · outbound

This paper cites This is a cryptic error due to TPOT being explicitly passed the AUC and log-loss evaluation metrics for binary and multi-class classiﬁcation respectively.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This is a cryptic error due to TPOT being explicitly passed the AUC and log-loss evaluation metrics for binary and multi-class classiﬁcation respectively

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.846984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 763b3a16-19da-40b1-9686-239c11e52788 · outbound

This paper cites This error occurred on 6 datasets: adult, Airlines, Dionis, guiellermo, riccardo, and Robert.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This error occurred on 6 datasets: adult, Airlines, Dionis, guiellermo, riccardo, and Robert

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.849170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a5f49df7-f722-4958-9944-a94a72ee1ea6 · outbound

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

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.851258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d2de292c-e645-4165-bf38-66f43245047e · outbound

This paper cites This memory error occurred on 1 dataset: Covertype.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This memory error occurred on 1 dataset: Covertype

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.853800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91caa4ca-fc1f-468a-949d-1122415d71e8 · outbound

This paper cites The AutoML Job cannot continue.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data The AutoML Job cannot continue

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.855985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00bce17e-ac4a-4275-b112-de104e6093a5 · outbound

This paper cites This error occurred on 5 datasets: Covertype, Fashion-MNIST, guiellermo, riccardo, and Robert.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data This error occurred on 5 datasets: Covertype, Fashion-MNIST, guiellermo, riccardo, and Robert

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.858562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 387f7a6e-88e7-4861-bae5-17b12f96b980 · outbound

This paper cites None of [Index([’false’, ’true’], dtype=’object’)] are in the [columns].

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data None of [Index([’false’, ’true’], dtype=’object’)] are in the [columns]

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.860957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 92e625b5-54aa-4772-8537-db2777066c21 · outbound

This paper cites The AutoML Job cannot continue.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data The AutoML Job cannot continue

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.863044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df12ee2c-67e3-4a50-9545-7670d572370b · outbound

This paper cites A similar H2O error has been discussed in the Kaggle forums for this competition: https://www.kaggle.com/c/ieee-fraud-detection/discussion/110643.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data A similar H2O error has been discussed in the Kaggle forums for this competition: https://www.kaggle.com/c/ieee-fraud-detection/discussion/110643

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.865298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc37e40f-1f7d-4505-aefe-f842883b286d · outbound

This paper cites Even increasing the allowed training time to 32 hours did not solve this issue.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Even increasing the allowed training time to 32 hours did not solve this issue

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.867904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d771fb37-0ce0-4792-b518-4ba035ab7c87 · outbound

This paper cites We note that 8h time limit was sufﬁcient for H2O to produce predictions for this competition.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data We note that 8h time limit was sufﬁcient for H2O to produce predictions for this competition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.870865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3d7ad568-7c6a-4d48-9950-2b12adb22810 · outbound

This paper cites Please call fit() first.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Please call fit() first

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.873187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a22fb9de-683b-4a2b-972f-6f4dcaaa4992 · outbound

This paper cites AUC, Log-Loss) for certain datasets, TPOT nonetheless occasionally failed with error: RuntimeError: The fitted pipeline does not have the predict proba() function.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data AUC, Log-Loss) for certain datasets, TPOT nonetheless occasionally failed with error: RuntimeError: The fitted pipeline does not have the predict proba() function

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.875946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d24d9210-b514-431f-a2c0-c746e17439ee · outbound

This paper cites an unresolved cited work.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:34:31.878431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2b138bd-3934-40e9-91c8-6b9ab5d58219 · outbound

This paper cites an unresolved cited work.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:34:31.880537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed982e67-5063-4f7e-b0c1-e5200c142b93 · outbound

This paper cites an unresolved cited work.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:34:31.882541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b62e88be-f6fe-4c3b-a147-752dc18666ba · outbound

This paper cites When run for 24h, Auto-WEKA succeeded on this data, indicating this error is time-limit related.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data When run for 24h, Auto-WEKA succeeded on this data, indicating this error is time-limit related

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T10:34:31.884676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4baa4ad8-8f53-4e68-a56e-fe67f995e4c9 · outbound

This paper cites An Open Source AutoML Benchmark.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data An Open Source AutoML Benchmark

Reference 35

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T10:34:31.812003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e0b4ebd-8642-4f8a-9bda-25fcdd4e7685 · outbound

This paper cites an unresolved cited work.

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-05-15T10:34:31.892531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation b8d044a4-f938-436c-8cec-1cef1be9fea0 · inbound

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

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ae88057-5584-4b08-85fb-5d27adf507be · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 101

Resolution: verified exact; local_arxiv, observed 2026-05-18T04:33:39.837275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 77e609b9-3474-44db-abe5-63d66421daea · inbound

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains cites this paper.

MultiTab: A Comprehensive Benchmark Suite for Multi-Dimensional Evaluation in Tabular Domains AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:26.672316Z

Source-reported events for the cited work

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Observation 389727c2-1512-48f2-acb6-c67134330422 · inbound

Early Diagnosis of Atrial Fibrillation Recurrence: A Large Tabular Model Approach with Structured and Unstructured Clinical Data cites this paper.

Early Diagnosis of Atrial Fibrillation Recurrence: A Large Tabular Model Approach with Structured and Unstructured Clinical Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:21.025781Z

Source-reported events for the cited work

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Observation b7d5697f-ff2b-4b2c-a6e0-98c2d7a863bc · inbound

Auto-nnU-Net: Towards Automated Medical Image Segmentation cites this paper.

Auto-nnU-Net: Towards Automated Medical Image Segmentation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 340

Resolution: unresolved; no resolver link, observed 2026-08-07T15:01:49.928646Z

Source-reported events for the cited work

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Observation c431d0e5-0064-4711-9d59-73731017f5ac · inbound

VirnyFlow: A Design Space for Responsible Model Development cites this paper.

VirnyFlow: A Design Space for Responsible Model Development AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:44:14.344263Z

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Observation 74cbf35a-3bbb-4202-850d-8c6a7c42f634 · inbound

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL cites this paper.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:26.975364Z

Source-reported events for the cited work

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Observation 0e575587-bbd0-4635-9d77-a7485fdb4537 · inbound

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion cites this paper.

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:08.187886Z

Source-reported events for the cited work

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Observation 317ab4dd-ac93-4c32-b9cc-c6db434e589c · inbound

Leveraging Novel Ensemble Learning Techniques and Landsat Multispectral Data for Estimating Olive Yields in Tunisia cites this paper.

Leveraging Novel Ensemble Learning Techniques and Landsat Multispectral Data for Estimating Olive Yields in Tunisia AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:46.324815Z

Source-reported events for the cited work

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Observation b3728846-a8d5-484f-ac03-f821b57fb709 · inbound

CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction cites this paper.

CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:38:00.863497Z

Source-reported events for the cited work

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Observation 6ca8048f-463b-41a5-b563-67700d05c98d · inbound

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

TabArena: A Living Benchmark for Machine Learning on Tabular Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:42:12.617509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 062da00c-42e3-4dea-9a8d-fd9240d604b2 · inbound

Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning cites this paper.

Divide, Specialize, and Route: A New Approach to Efficient Ensemble Learning AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 13

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Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance cites this paper.

Interpretable by Design: MH-AutoML for Transparent and Efficient Android Malware Detection without Compromising Performance AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 33

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Observation e14a235b-73e6-4ead-bf8f-c2f0babcaf52 · inbound

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective cites this paper.

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 12

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Observation 898e5628-c9a0-4e7f-ae96-e59050afbb00 · inbound

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation cites this paper.

FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 13

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

Towards Benchmarking Foundation Models for Tabular Data With Text cites this paper.

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

Reference 7

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Observation 37ba32bd-1e1a-46ba-bb41-a2b436ab305f · inbound

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data cites this paper.

LightAutoDS-Tab: Multi-AutoML Agentic System for Tabular Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:29.556134Z

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Observation 74f26383-978c-4a8d-9982-7ab4aef47248 · inbound

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification cites this paper.

The Sweet Danger of Sugar: Debunking Representation Learning for Encrypted Traffic Classification AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:12.215059Z

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Observation 03a968f1-4e41-4d42-8645-e3c76a1ae761 · inbound

Agentic AI framework for End-to-End Medical Data Inference cites this paper.

Agentic AI framework for End-to-End Medical Data Inference AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 22

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Observation fad3d717-1043-4890-9e45-52de347fb814 · inbound

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases cites this paper.

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 11

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Observation bf9724b4-c072-48b2-a5c5-f658c3118342 · inbound

KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems cites this paper.

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Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-18T22:22:51.719041Z

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Observation 5a76761e-7dc5-48c8-859a-371810c39b82 · inbound

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings cites this paper.

Cross-device Zero-shot Label Transfer via Alignment of Time Series Foundation Model Embeddings AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2

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Observation 32d8b357-4674-4403-b2c9-3bf4dc0ae97b · inbound

TusoAI: Agentic Optimization for Scientific Methods cites this paper.

TusoAI: Agentic Optimization for Scientific Methods AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:34:23.810638Z

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Observation 8e2e4980-f842-4bd7-af50-67d2e7133e71 · inbound

Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference cites this paper.

Spatial Deconfounder: Interference-Aware Deconfounding for Spatial Causal Inference AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T10:48:33.552605Z

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Observation fd520658-0692-49a5-82af-0440455c98e8 · 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 AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d052f24-1d08-48cc-ab46-1f0a7f870d44 · inbound

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach cites this paper.

Soil Compaction Parameters Prediction Based on Automated Machine Learning Approach AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T17:44:54.997667Z

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Observation 37a03155-bea4-45c0-b0d9-35a0cdb0a484 · inbound

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data cites this paper.

Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T05:32:56.009367Z

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Observation 5a2d79dc-f0dd-4cc9-9c52-de4a232953de · inbound

Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases cites this paper.

Predictive Query Language: A Domain-Specific Language for Predictive Modeling on Relational Databases AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T02:51:57.108418Z

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Observation 1cfd014d-71c5-41fb-be34-aa0e92d4ade2 · inbound

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML cites this paper.

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T23:25:32.688411Z

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Observation 342a17af-f348-4d66-90ab-4adf110f828a · 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 AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-21T10:30:00.258813Z

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Observation 988aa9b1-2478-4c00-b332-9a2f6c4be8d7 · inbound

Auto-Unrolled Proximal Gradient Descent: An AutoML Approach to Interpretable Waveform Optimization cites this paper.

Auto-Unrolled Proximal Gradient Descent: An AutoML Approach to Interpretable Waveform Optimization AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

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Observation 02c8397c-b138-449f-b605-cba60c902989 · inbound

Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent Benchmarks cites this paper.

Spatial Atlas: Compute-Grounded Reasoning for Spatial-Aware Research Agent Benchmarks AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

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Observation 853077cf-0ed6-42b1-be08-7edc2f470206 · inbound

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

KumoRFM-2: Scaling Foundation Models for Relational Learning AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fdc3e14-c998-4934-9ee8-dc4d42ea3b90 · inbound

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration cites this paper.

TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ad9a9a3-24d8-49c8-8430-9d191019691b · inbound

AgentGA: Evolving Code Solutions in Agent-Seed Space cites this paper.

AgentGA: Evolving Code Solutions in Agent-Seed Space AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5f6f32f-7be7-4a14-a0f3-9ec062685f20 · inbound

AgentGA: Evolving Code Solutions in Agent-Seed Space cites this paper.

AgentGA: Evolving Code Solutions in Agent-Seed Space AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1d8902d3-9c06-47bf-b5c9-eaabb370ed06 · inbound

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

Tabular foundation models for in-context prediction of molecular properties AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58ea1348-6851-48fe-904d-b5dc01d0eccd · inbound

Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection cites this paper.

Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 402b0bbe-70ef-43de-9ae7-eb89ab373ca4 · inbound

Probabilistic Spectral Reconstruction of Trans-Neptunian Objects from Sparse Photometry: A Framework for Taxonomy, Survey Optimization, and Outlier Detection cites this paper.

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T10:04:47.072280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 54573614-d2ac-4a75-afd9-f81281cc6707 · inbound

Prior-Aligned Data Cleaning for Tabular Foundation Models cites this paper.

Prior-Aligned Data Cleaning for Tabular Foundation Models AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13f4af94-df60-42ac-8de2-11fd778a9412 · inbound

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference cites this paper.

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc925d7c-b18d-4089-a805-e3cd055f05f7 · inbound

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference cites this paper.

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-01T07:55:31.537551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d771c8aa-89cb-4c46-b86d-bac40fdaef58 · inbound

Why Model Selection Fails in Time Series Forecasting: An Empirical Study of Instability Across Data Regimes cites this paper.

Why Model Selection Fails in Time Series Forecasting: An Empirical Study of Instability Across Data Regimes AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2447676b-643e-4b07-9ae0-402fdd3f5480 · inbound

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy cites this paper.

RamanBench: A Large-Scale Benchmark for Machine Learning on Raman Spectroscopy AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 174fa790-2129-4446-a3ce-9b718a409187 · inbound

Data Language Models: A New Foundation Model Class for Tabular Data cites this paper.

Data Language Models: A New Foundation Model Class for Tabular Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eaebff7b-10b8-4423-abab-450d55fd8957 · inbound

Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models cites this paper.

Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 406358ac-fd8d-4c63-867f-a20e44c3b1ef · inbound

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation cites this paper.

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a10d9d3-40cf-4d4f-beba-83656672e649 · inbound

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation cites this paper.

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T22:49:10.450285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80da1e0a-461f-443c-8a78-f04f5c26eece · inbound

PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis cites this paper.

PromptDx: Differentiable Prompt Tuning for Multimodal In-Context Alzheimer's Diagnosis AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c18b6b07-77ce-4ad8-b5c5-7848e9720b19 · inbound

XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles cites this paper.

XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 50318caf-8bf8-447f-862a-125aaf983a77 · inbound

XAI and Statistical Analysis for Reliable Intrusion Detection in the UAVIDS-2025 Dataset: From Tree to Hybrid and Tabular DNN Ensembles cites this paper.

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T07:59:22.211272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83421108-8eba-44a8-8e3e-5c060da9f3b7 · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:34:31.897638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 447ddd50-230b-4bb3-96a0-57b213e9cd0f · inbound

TabPFN-3: Technical Report cites this paper.

TabPFN-3: Technical Report AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:25:46.539747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ab3c583-13ae-45e5-b146-663250c90367 · inbound

1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job? cites this paper.

1GC-7RC: One Graphic Card -- Seven Research Challenges! How Good Are AI Agents at Doing Your Job? AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-20T15:48:32.125381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5f590b1-d4c1-446c-99c3-5e4f43375ce6 · inbound

Inferring stellar metallicity and elemental abundances from kinematic and spectroscopic data using machine learning -- Implications for exoplanet host stars cites this paper.

Inferring stellar metallicity and elemental abundances from kinematic and spectroscopic data using machine learning -- Implications for exoplanet host stars AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T00:42:54.247734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5cd4d38f-0e53-400e-b9d6-3a0a8eb0bbc4 · inbound

TabH2O: A Unified Foundation Model for Tabular Prediction cites this paper.

TabH2O: A Unified Foundation Model for Tabular Prediction AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:13:17.997621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 680d59b8-7366-4ab1-84b8-1d7df0e38fae · 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 AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:03:18.027305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 12c67461-3dd2-46ba-868f-31364ca51671 · inbound

A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction cites this paper.

A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-22T01:34:30.398460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9a4c269c-5062-4224-9d21-8dafeb48c249 · inbound

A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction cites this paper.

A Reproducible Log-Driven AutoML Framework for Interpretable Pipeline Optimization in Healthcare Risk Prediction AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T18:14:59.232810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bdc18e95-ff22-43b4-b0c9-206f8dc02a80 · inbound

FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue cites this paper.

FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:33:58.899450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d4002847-99d7-4359-b0d0-5fb5ef829c13 · inbound

Explaining Tabular Foundation Model Differences Through Meta-Features cites this paper.

Explaining Tabular Foundation Model Differences Through Meta-Features AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T14:43:30.507693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ed18491-81d2-4c66-a6e1-a93aa4174915 · inbound

Explaining Tabular Foundation Model Differences Through Meta-Features cites this paper.

Explaining Tabular Foundation Model Differences Through Meta-Features AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T23:27:26.653163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c344ce2f-2007-4ba1-afda-78e419d6c10a · inbound

How Can Machine Learning Accelerate CALPHAD Free Energy Modeling? cites this paper.

How Can Machine Learning Accelerate CALPHAD Free Energy Modeling? AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T21:26:16.541309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 33224dec-2537-41dd-b800-0fe56814ec61 · inbound

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

TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:06:16.735925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85dc93fa-f1ce-4b0b-99df-3e5443d3cb29 · inbound

Provably Reduced Sample Cost in Prior-Guided Hyperparameter Optimization cites this paper.

Provably Reduced Sample Cost in Prior-Guided Hyperparameter Optimization AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-02T06:06:41.346461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 955f648e-2e04-4493-ba3d-5c36ee0b9b67 · inbound

Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge cites this paper.

Mitosis Detection in the Wild: Multi-Tumor and Context-Aware Generalization in the MIDOG 2025 Challenge AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-07-02T17:07:12.703631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef0c3930-8a75-4fce-afd5-a863eac3051b · inbound

Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles cites this paper.

Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:13:48.513012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5b7e3d6a-373c-4072-8f08-d1a2f5b29821 · inbound

SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection cites this paper.

SAGE: An LLM-driven Self Reflective Agentic Framework for Fraud Detection AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:17:25.049143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 39b9c2c3-cb3d-4a7b-bce5-a23144f861ee · inbound

Public Machine Learning Solver Framework for Novices in the Machine Learning Domain cites this paper.

Public Machine Learning Solver Framework for Novices in the Machine Learning Domain AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-02T20:47:22.680580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e044eaa-e4e2-4030-b108-3431e510ec5e · inbound

FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting cites this paper.

FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:27:29.264489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4e0ed454-14a3-48bd-a9a8-7c19affe9019 · inbound

LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version) cites this paper.

LATTEArena: An Evaluation Framework for LLM-powered Tabular Feature Engineering (Extended Version) AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:57:30.270322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fa412f0-61c7-41d3-9be1-b805e2e0071d · inbound

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders cites this paper.

TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-03T01:07:30.404352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 528b02cc-4b9d-4bd5-8e8d-b602fa71f6f3 · inbound

LensKit-Auto cites this paper.

LensKit-Auto AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T02:39:24.923989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d0785ea4-074f-4295-8a75-94b82cc7d2ef · inbound

Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression cites this paper.

Solve for the Hyperparameter, Skip the Search: Kolmogorov-Optimal Scaling Laws for Spline Regression AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:29:44.740574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9bd4d1f1-71a9-420f-9d31-e0e045711958 · inbound

Temporal Posed and Spontaneous Gesture Recognition from Electromyography in the Rock-Paper-Scissors Game cites this paper.

Temporal Posed and Spontaneous Gesture Recognition from Electromyography in the Rock-Paper-Scissors Game AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-06-30T08:14:25.580580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79741698-ba0e-4d7b-ac5f-a9ea633b3c6e · inbound

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks cites this paper.

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-30T07:24:21.042384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8097999e-ea6e-4d5d-82b3-af4d63c1d2f2 · inbound

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks cites this paper.

FlexTab: A Flexible Encoder-Decoder Architecture for In-Context Learning Across Diverse Tabular Tasks AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:45:35.382837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9c8f4950-2be0-4897-b990-99baf6ee6304 · inbound

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

Beyond IID: How General Are Tabular Foundation Models, Really? AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 182

Resolution: verified exact; local_arxiv, observed 2026-06-30T07:04:21.436067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae0b1f32-8174-4c6a-b112-c4b19eec1792 · inbound

TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning cites this paper.

TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 134

Resolution: verified exact; local_arxiv, observed 2026-07-07T14:03:48.743849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f86e0a86-e9b6-47d9-b4d2-acffeff77736 · inbound

Air Quality Arena: A Large-Scale Multi-Region Ground Monitoring Dataset and Benchmark for Air Quality Forecasting with Time-Series Foundation Models cites this paper.

Air Quality Arena: A Large-Scale Multi-Region Ground Monitoring Dataset and Benchmark for Air Quality Forecasting with Time-Series Foundation Models AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T09:18:06.628065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05d7594f-1e6b-4d50-9df2-1ba373eaec64 · inbound

Post-Training in Time Series Foundation Models: A Unifying Framework cites this paper.

Post-Training in Time Series Foundation Models: A Unifying Framework AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 157

Resolution: unresolved; no resolver link, observed 2026-08-01T11:08:07.613758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf831d9-5f0a-474f-9ffb-c855a5552216 · inbound

CT-PrepAgent: Bounded Policy and Controlled Execution for Adaptive CT Data Preparation cites this paper.

CT-PrepAgent: Bounded Policy and Controlled Execution for Adaptive CT Data Preparation AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:32:22.084751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91e1fe1-3c97-413a-950e-1253e1b8ab08 · inbound

Enhancing Tabular Learners with Context-Aware Semantic Embeddings cites this paper.

Enhancing Tabular Learners with Context-Aware Semantic Embeddings AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:57.924925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.