Pith. sign in

Paper Citation Record · LEDGER

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard

As of 16 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 2 inbound Pith citation observations for arXiv:2505.13421.

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

pith.paper-citation-record.v1
2505.13421 v1

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:43.880359Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T22:05:11.146329Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:05:41.488612Z

Reference resolution

100 of 106 outbound references displayed

  • verified exact0
  • verified fuzzy35
  • unresolved64
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41826eaa-9799-486e-898a-b1563fbcb8d3 · outbound

This paper cites GPT-4 Technical Report.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:41.975301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:41.975301Z digest=sha256:335c7f178432e1a6ae8b5b1e6008b0fcf182f6136d82a74636e74f82c3320de3

Observation 285309b2-2903-4d02-a00a-a07101779e25 · outbound

This paper cites Credit risk analysis using machine and deep learning models.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Credit risk analysis using machine and deep learning models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.074128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.074128Z digest=sha256:8f74318ff5061613a65b9280c735cdf66e171b69fbc4e93d1d3f05d1209a81e7

Observation c9428dc8-47c7-4971-8b52-c70d5365592b · outbound

This paper cites Arik and Tomas Pfister.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Arik and Tomas Pfister

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.078797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.078797Z digest=sha256:031c6383ba47e7f61c2ba40394b31c91c12356326e63e12b548fe2e4f1053810

Observation 5a92dd4d-8868-4eca-bff4-daa81bb69c0d · outbound

This paper cites Gradient Boosting Neural Networks: GrowNet.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Gradient Boosting Neural Networks: GrowNet

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.082921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.082921Z digest=sha256:4aeffa9724afeed78172d3155f297fc532fe84d48761ebdb4571adaf9aa70632

Observation 85b8947b-a30a-41b4-85b7-7766294c52b0 · outbound

This paper cites Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.087216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.087216Z digest=sha256:1994c237982e72568c9569cfdc98b7856772b1b495c4c4b0ff2ace374d7191a4

Observation 2d27fd0e-371a-4907-a7bf-2bacd81347bd · outbound

This paper cites Unveiling challenges for llms in enterprise data engineering.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unveiling challenges for llms in enterprise data engineering

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.091312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.091312Z digest=sha256:8426d8e85141dd550094a48d6e1f005fd4a2b8b910c9a5a86d2bb42146584fea

Observation 54601505-8696-4cc7-af05-b76a4d908bb5 · outbound

This paper cites Elephants Never Forget: Testing Language Models for Memorization of Tabular Data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Elephants Never Forget: Testing Language Models for Memorization of Tabular Data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.096153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.096153Z digest=sha256:d849cebf654af73afb1c78fe49d70fcb1a50c06574fe795f3d0cf630274aacb3

Observation e54080b4-5a60-4248-85d8-cc9427f647ff · outbound

This paper cites Deep neural networks and tabular data: A survey.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Deep neural networks and tabular data: A survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.101097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.101097Z digest=sha256:493e06f607a627c1bcb090965a375477ce4ae73b2720b00a8e55d6fa05d76d7c

Observation 62ef0ecd-9ca4-42dd-ab37-7a8ebc5f433c · outbound

This paper cites Conditional likelihood maximisation: A unifying framework for information theoretic feature selection.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Conditional likelihood maximisation: A unifying framework for information theoretic feature selection

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.106063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.106063Z digest=sha256:6ef3fde40d9c37c2f3bb2ecd1424a61d973eea61d27c44a52d3175b5cc21c7d2

Observation 96dbace0-3e19-493c-983e-cbc92b16eeed · outbound

This paper cites Language models are few-shot learners.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Language models are few-shot learners

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.141836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.141836Z digest=sha256:6e7952808b39eda18a7e35577e09eeb25cf59077a387cd3355ea626db32c5c2a

Observation 1fb8500b-9db0-420e-896b-29f8b64cb00e · outbound

This paper cites Understanding the limits of deep tabular methods with temporal shift.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Understanding the limits of deep tabular methods with temporal shift

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.222845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.222845Z digest=sha256:6b284ba418773cc5e9af9a2e5dd8f152d3982bfd0553d5295ccb60e466fc5494

Observation a03a8e11-bc63-4a2a-a332-bc0eb715ca42 · outbound

This paper cites MLE-bench: Evaluating machine learning agents on machine learning engineering.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard MLE-bench: Evaluating machine learning agents on machine learning engineering

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.318510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.318510Z digest=sha256:6a4b6d39751c678dcfbb66263536ef983734967439d92f554255b6d924e8bd6c

Observation 97fdf375-33f5-488a-a526-9df195a08a8d · outbound

This paper cites Tabcaps: A capsule neural network for tabular data classification with bow routing.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabcaps: A capsule neural network for tabular data classification with bow routing

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.382045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.382045Z digest=sha256:fb83811ec3feed36568f6b88a00834f39e6fa38f856f46194707f8eb21721a39

Observation a7bba0a1-c90a-425b-aca2-61f93d742412 · outbound

This paper cites Chen, and Jian Wu.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Chen, and Jian Wu

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.385757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.385757Z digest=sha256:068ed3cc9e9ff1370c6faebf58aa115e96377d2eaa60149a00a834710437c30f

Observation 69943e04-9da7-4a92-a2e3-715d2d1b77ec · outbound

This paper cites ExcelFormer: A neural network surpassing GBDTs on tabular data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard ExcelFormer: A neural network surpassing GBDTs on tabular data

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.389661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.389661Z digest=sha256:2cab390153d50a4726d37760bc00e1642ef3a3d4cf278a22f4175fa568d2e27a

Observation a406c254-d3bd-4b5f-8744-78a9f4b8d9f5 · outbound

This paper cites Trompt: Towards a better deep neural network for tabular data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Trompt: Towards a better deep neural network for tabular data

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.393158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.393158Z digest=sha256:b3dade9e087ced542a7eea23ba5ea14c6f78bc5a0eda2ccd1bf6664f13efa1c9

Observation 73911d5b-f4a9-47b2-960b-3b505ab5ae6a · outbound

This paper cites Xgboost: A scalable tree boosting system.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Xgboost: A scalable tree boosting system

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.396066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.396066Z digest=sha256:222d6ff1503ba3f604972adb0e978ea5babb50766292be74c2b0b64566602925

Observation bdb869ad-0108-4970-883d-c08f1e0710b3 · outbound

This paper cites DeepSeek-V3 Technical Report.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard DeepSeek-V3 Technical Report

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.400620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.400620Z digest=sha256:02fde6af2aca7a95c2acf40a566d1e167f33040c901978c9d467231a5bc57778

Observation 50aff069-2bde-4d7c-a51c-d4759783b528 · outbound

This paper cites Lift: Language-interfaced fine-tuning for non-language machine learning tasks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Lift: Language-interfaced fine-tuning for non-language machine learning tasks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.404288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.404288Z digest=sha256:9532dc6f4f05fe9838a4da4a9f93f97315590e7fa3ec09e447179fc75dc34319

Observation 5859b4a9-fc27-460e-b5bf-e1f12bc90c24 · outbound

This paper cites Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.408086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.408086Z digest=sha256:eb523bcd4010f46ba1eaeac9628356c1c114ec07c459bf7e45652715112a3f35

Observation 13d01b0e-d74b-47a8-8bbe-58bb017e3378 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.412662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.412662Z digest=sha256:840e9dce2aac11b8b7ad15de97736a58fd6b6c50158720277e7b28c6c780ae7e

Observation ecc0c345-e4f0-4399-9431-233af283674f · outbound

This paper cites Large scale transfer learning for tabular data via language modeling.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Large scale transfer learning for tabular data via language modeling

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.418126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.418126Z digest=sha256:82b584b08de1d9678572008e8ac810c767a0723c0201712d9683261f4f38ad47

Observation 45eff595-df47-4978-861c-c60e0ad2c883 · outbound

This paper cites Tabm: Advancing tabular deep learning with parameter-efficient ensembling.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabm: Advancing tabular deep learning with parameter-efficient ensembling

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.423374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.423374Z digest=sha256:5577e7d935e6c67a67f5a559c4b65b3d41c2ec3d5506d733cda6900039cfa0a9

Observation 2c8f4c40-b29c-4f63-bcab-0046bff46918 · outbound

This paper cites On embeddings for numerical features in tabular deep learning.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard On embeddings for numerical features in tabular deep learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.427138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.427138Z digest=sha256:fb9f093994022a8701044972b2175d512b9c25b8d466ea0a6ba635d3d89a72ec

Observation 0d23af87-fdc3-44e0-a942-27f0ee0330a3 · outbound

This paper cites Tabr: Tabular deep learning meets nearest neighbors in 2023.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabr: Tabular deep learning meets nearest neighbors in 2023

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.445737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.445737Z digest=sha256:f8f893d9975cef1c91c7d5a353bea24655fe0eb30bf63323e221b34439eb4ede

Observation 1b442ed6-84b8-41e2-a627-a24135805bee · outbound

This paper cites Revisiting deep learning models for tabular data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Revisiting deep learning models for tabular data

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.494771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.494771Z digest=sha256:3395338456eb4f8633c9eb691ebd57c3f8edaf353f5e89af57572d705793501c

Observation f99f3409-149e-4d66-8e72-dbe61bd6257b · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data? In NeurIPS, 2022.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Why do tree-based models still outperform deep learning on typical tabular data? In NeurIPS, 2022

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.604431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.604431Z digest=sha256:4b2b205f20a5fbdc124c7fa1fc0a0edeeda083b30acbc7f7a3aa2e7db50eb7ea

Observation 02a8fc39-fd3a-4b4d-b0a3-047bf4583da7 · outbound

This paper cites Large language models can automatically engineer features for few-shot tabular learning.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Large language models can automatically engineer features for few-shot tabular learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.651679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.651679Z digest=sha256:708c71398211c0f345dbf55c76bad9d8f44f108c556eb9e9c26777d6ac1b1fa7

Observation ddad1f6b-39ce-4a95-8f13-dfdb38194d09 · outbound

This paper cites Rafiul Hassan, Sadiq Al-Insaif, Muhammad Imtiaz Hossain, and Joarder Kamruzzaman.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Rafiul Hassan, Sadiq Al-Insaif, Muhammad Imtiaz Hossain, and Joarder Kamruzzaman

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.655929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.655929Z digest=sha256:6ab84d33a450efa51c9f186d3f68c751ded2621e94eaf8c7f255b2d9c77e8a81

Observation 81f3f7fd-e63e-47d9-8fed-f76ec0b7ad32 · outbound

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

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabllm: Few-shot classification of tabular data with large language models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.659901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.659901Z digest=sha256:e66ced01bcfc6b4f39ac0e401adb52911e21ab642119f6ba0dfc8a5390cc9545

Observation 52ef869d-ca6b-4699-8b3d-230534663af7 · outbound

This paper cites Tabpfn: A transformer that solves small tabular classification problems in a second.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabpfn: A transformer that solves small tabular classification problems in a second

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.664406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.664406Z digest=sha256:aa3ab666672ae6180261c87321f6ae354d50ee5399d76031af5ac4f54b9d36a4

Observation 68f9dfb7-a276-4f9d-bff1-8a87e4f46ff3 · outbound

This paper cites Large language models for automated data science: Introducing caafe for context-aware automated feature engineering.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Large language models for automated data science: Introducing caafe for context-aware automated feature engineering

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.668697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.668697Z digest=sha256:9468560a6259b1b3a89ff3ba99fe7f6ba19a2ea5e608f60ef8338af4ed79448e

Observation f84aa37a-add7-4e0d-b189-324324ad9c3f · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Accurate predictions on small data with a tabular foundation model

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.672489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.672489Z digest=sha256:dcad56c33d057925c9ccb99c35d9674a1b802bbf76ef2c82bdc8213769b1f4be

Observation 4feee6da-dfb3-4d35-8f27-c06231b63b79 · outbound

This paper cites Better by default: Strong pre-tuned mlps and boosted trees on tabular data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Better by default: Strong pre-tuned mlps and boosted trees on tabular data

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.676543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.676543Z digest=sha256:2b87aec9b84a5db00a65ddaca6d8941276f7202ca6ece2829d288cb1d45833ef

Observation f102288d-ed4d-4eaa-87df-ba1e18390ac8 · outbound

This paper cites Infiagent-dabench: Evaluating agents on data analysis tasks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Infiagent-dabench: Evaluating agents on data analysis tasks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.680974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.680974Z digest=sha256:7f093bad4b112610372cc0a1af2424809bebadf8b3f8b7363b50f93e521df058

Observation a66a50d5-16b5-417b-a908-24285b144106 · outbound

This paper cites Mlagentbench: Evaluating language agents on machine learning experimentation.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Mlagentbench: Evaluating language agents on machine learning experimentation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.685611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.685611Z digest=sha256:4ec744ff1ff99b3f3b4f70bf6b7389280643c4122e62dac1cfa7c0eee1b2dbb6

Observation dbe1fc70-5738-4c7c-8a7d-183bab2ecc6e · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.689948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.689948Z digest=sha256:2e3bd682f2742d86ee8e31339a13cd9c7969a25f1e6aea13975541484186d611

Observation beae45e2-477b-4cbd-abd0-1ad726af5bd5 · outbound

This paper cites Automated machine learning: methods, systems, challenges.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Automated machine learning: methods, systems, challenges

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.694248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.694248Z digest=sha256:4605eef4a8b5fdb79f886c736234b0084ab2bbf2f48b645bd0c96472f8faef14

Observation 479551a6-6b97-4414-8ccc-3783cc4bbd91 · outbound

This paper cites Tangos: Regularizing tabular neural networks through gradient orthogonalization and specialization.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tangos: Regularizing tabular neural networks through gradient orthogonalization and specialization

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.498626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:42.698163Z digest=sha256:fa964d8aff92b8fc4d9270923538fd9eba067ce0fa383cabe691317dff8b787c

Observation 7641df64-213c-4b5c-9959-2874f0559853 · outbound

This paper cites Representation Learning for Tabular Data: A Comprehensive Survey.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Representation Learning for Tabular Data: A Comprehensive Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.703188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.703188Z digest=sha256:b88f9b6550cc4f69d72ffbb589e9fedbcc81f4190dd171c71084671df025a08b

Observation 9cdd3ec4-b93a-4072-a7b4-6e714dd6676a · outbound

This paper cites Tabular insights, visual impacts: Transferring expertise from tables to images.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabular insights, visual impacts: Transferring expertise from tables to images

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.482343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:42.708076Z digest=sha256:f5b6210f22579f6396725aaa0620eac05b586194d6fa5135d8fe0afddb9dfb99

Observation c5387f48-3c4c-40a6-ba20-cd2b72c8e85c · outbound

This paper cites AIDE: AI-Driven Exploration in the Space of Code.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard AIDE: AI-Driven Exploration in the Space of Code

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.712606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.712606Z digest=sha256:9624a5d5695eef36e2cc7c2059c330a8e5c912a16fdfcc3a7fd9226036fd59cd

Observation 875d36d8-2cbc-42e3-a238-1bfeef7096a5 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Lightgbm: A highly efficient gradient boosting decision tree

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.716904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.716904Z digest=sha256:30d5217c0f9d18cf8de62add0bdc6d0e5e4c9beae50b7dcb5acf444ab7f8c89a

Observation 4167e033-b7a7-4c78-a6b7-7c04dda03281 · outbound

This paper cites Self-normalizing neural networks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Self-normalizing neural networks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.452874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:42.721555Z digest=sha256:9065a13e23940c00606d38473241cbc86a39bd8551bb0590bf964ab4af41ca89

Observation 01e4b6d0-3e8c-486c-82ef-7c33add1bcc1 · outbound

This paper cites Towards localization via data embedding for tabPFN.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Towards localization via data embedding for tabPFN

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.348156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:42.728809Z digest=sha256:3dcd487286ddf14e6535b1092d77164a29be0c4c6e63c3dff7581e0970f4073d

Observation ac3654cb-f925-4e5c-9a15-0d2e43313859 · outbound

This paper cites Large Language Models Engineer Too Many Simple Features For Tabular Data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Large Language Models Engineer Too Many Simple Features For Tabular Data

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.794635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.794635Z digest=sha256:c9704b94d93f0b0d09e58c3e4d77a3e71079007c6ce4fda76c38d564a6b78942

Observation a3a4c771-e5fc-42b4-99fa-e4d88d985adf · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.333544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:42.870466Z digest=sha256:ecb9bc993a010616a87fed5c1c8f5ade9734722e8a85e765b0b5e89694c1bc61

Observation 41ef8cc1-2ed7-49ed-9c1b-0bb453541823 · outbound

This paper cites AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.875958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.875958Z digest=sha256:9c241edb45ac8b583261c5aec9225343f7fce6cc41b90986f0d7b61e240521e1

Observation f6496bb5-390c-401a-b05e-3c55fd175797 · outbound

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

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TALENT: A Tabular Analytics and Learning Toolbox

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.881025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.881025Z digest=sha256:3dc4df84087c30106cd3e943f4f5fb8aaf080380499b6146a479de27d7882061

Observation e847fac3-92e8-4394-b4b9-c6cf127cae52 · outbound

This paper cites TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.885249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.885249Z digest=sha256:c08dc24b0af54ce960d826cd220ae36183542cb78ff83765ae1275cea334faf6

Observation ce065182-9692-4f56-af7a-91d32b1b1062 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.889731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.889731Z digest=sha256:05e2870755338867f2a136629618b3fa8db254b4de6fd35d8a409ede6c805a20

Observation 6f89c31d-965c-43f5-aaa1-3933693ece10 · outbound

This paper cites Cresswell, Keyvan Golestan, Guangwei Yu, Maksims V olkovs, and Anthony L.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Cresswell, Keyvan Golestan, Guangwei Yu, Maksims V olkovs, and Anthony L

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:42.895856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:42.895856Z digest=sha256:4d99bdf631653e93bf22031b8949f0d9705e54fbc98a06212b271ef21164c756

Observation 5571e5b4-0a1b-45a2-93ee-b12a272c9d72 · outbound

This paper cites Zico Kolter.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Zico Kolter

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.318993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:42.900112Z digest=sha256:fb73375f972fafea3f3b00f3f57fc6bf36ba82e2356eefa1a703e8717a3485fe

Observation b9a36fb1-babc-42e2-a567-3d5909c3a0e5 · outbound

This paper cites McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ra- makrishnan, Micah Goldblum, and Colin White.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard McElfresh, Sujay Khandagale, Jonathan Valverde, Vishak Prasad C., Ganesh Ra- makrishnan, Micah Goldblum, and Colin White

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.300883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:42.904192Z digest=sha256:30a6c5c69971b9838739d3370445ea2af2d035d476c553022145ed414abd2fff

Observation efc78daa-e9f3-4928-aaeb-7a5bdbc7fba9 · outbound

This paper cites Statistical foundations of prior-data fitted networks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Statistical foundations of prior-data fitted networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.228179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.037636Z digest=sha256:83d01ecdc716b1ef0af45f289dc29850860889c55a1b9f7f7f962f5d99a681a0

Observation c26f9f8f-c783-46a0-b46a-dfa191283671 · outbound

This paper cites Optimized feature generation for tabular data via llms with decision tree reasoning.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Optimized feature generation for tabular data via llms with decision tree reasoning

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.077734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.041527Z digest=sha256:ff4c7a7a85673327357e19311aa8374a08bf7e3f13f5edc453d143a2f1bc0c45

Observation 6c145970-d955-4a39-931c-e07f396becab · outbound

This paper cites Efficient neural architecture search via parameters sharing.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Efficient neural architecture search via parameters sharing

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:47.062665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.045558Z digest=sha256:9cc921b9e1ab787b25950228a827a46a921e6cb295e06d8eac8f40ff1340f463

Observation adac47b3-c99a-412c-9c27-48da91b24ae9 · outbound

This paper cites Neural oblivious decision ensembles for deep learning on tabular data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Neural oblivious decision ensembles for deep learning on tabular data

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.971418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.049968Z digest=sha256:a34d49b1a4eba0b3e55a15ee48af8f971bc2edb9006696f1960c98ffbd98ab20

Observation 7ca5859d-0d10-40e7-8891-887696e7c03b · outbound

This paper cites OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.053755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.053755Z digest=sha256:0c57e3f641b15036b876ae41dfb1a79751bf71dda39c18547bdd960b9c21b277

Observation ae28873d-c04b-4a9a-975d-5ca945b11b12 · outbound

This paper cites HardML: A Benchmark For Evaluating Data Science And Machine Learning knowledge and reasoning in AI.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard HardML: A Benchmark For Evaluating Data Science And Machine Learning knowledge and reasoning in AI

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.057747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.057747Z digest=sha256:62daf75741b2a53c51561bd9872b2f34b92f0b9a3c13e734dfec72502d5b58e0

Observation cb3290dd-e37f-4fa0-9520-61ecdd5cdd07 · outbound

This paper cites Catboost: unbiased boosting with categorical features.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Catboost: unbiased boosting with categorical features

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.853566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.103100Z digest=sha256:12e66a18b83df4a3254a9f50b9b7f3149352f17f963e0ec6f010382bef3eec66

Observation ac33ce6b-997f-4c6e-8d68-f39e71b56790 · outbound

This paper cites Tabicl: A tabular foundation model for in-context learning on large data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabicl: A tabular foundation model for in-context learning on large data

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.840855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.176709Z digest=sha256:1f11f536db369f1cff058086af7150752cdc2af83fcbb37d924585e896f51a31

Observation edff1b2c-199d-47a4-9273-8cdd4b6d5c23 · outbound

This paper cites TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.181274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.181274Z digest=sha256:8883f32a4a50976ababe9442a967992b0b03caff2bc9ed109960684fecf9f17f

Observation cd57a54d-642c-4868-8474-e7e0925c1f5d · outbound

This paper cites Autoint: Automatic feature interaction learning via self-attentive neural networks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Autoint: Automatic feature interaction learning via self-attentive neural networks

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.775219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.186375Z digest=sha256:2018c66b7feffaa12f0958a62d6c3088e4c3b867e9165adeb08d19361309e014

Observation 527c7fd8-41ea-4498-936f-7cb16cca28ec · outbound

This paper cites Caterini.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Caterini

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.661937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.190392Z digest=sha256:8f7e5d17f49364bba6b709c4750fa60bc426c25e76b6c5a6a16886c12c6d87a5

Observation 98cbc64b-af2d-476f-be57-52013d2ce047 · outbound

This paper cites Deep & cross network for ad click predictions.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Deep & cross network for ad click predictions

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.650592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.194497Z digest=sha256:6cecd511d62e5fa1ec6740b6cf8937dcc87b6277f8b23a8f2986dead45e955aa

Observation 9da0b761-bde2-462d-bc97-658ae1a02dff · outbound

This paper cites an unresolved cited work.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:18:46.573036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.198795Z digest=sha256:dd8d1c929e2eb019505b12c17b740be5823e6aeb80c2545369e9d9a5ab694938

Observation 58899805-104c-40e3-b235-598f2d6f843f · outbound

This paper cites Transtab: Learning transferable tabular transformers across tables.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Transtab: Learning transferable tabular transformers across tables

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.489613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.203505Z digest=sha256:386a134b460e8b030fb62f337ea8f93f78296d68a4d624be8ba4eb1884c7cc89

Observation 8be0173b-0887-4e72-abe3-dfa8526b8441 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Chain-of-thought prompting elicits reasoning in large language models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.208585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.208585Z digest=sha256:183d2d1230ca80be0e38e798e758662c06ef060c80d94715eb37956ab7ecd78f

Observation bd3fc830-4f94-460e-b177-bc3dcebbe3c0 · outbound

This paper cites Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Scalable In-Context Learning on Tabular Data via Retrieval-Augmented Large Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.274089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.274089Z digest=sha256:913005c0c80ff5d96542511f252dd58d17ecc0ccfb4d4fe67cc6c58da6242571

Observation 51f7e4b0-7a5f-4a9f-b9fe-95cb8a3f2dca · outbound

This paper cites Batchensemble: an alternative approach to efficient ensemble and lifelong learning.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Batchensemble: an alternative approach to efficient ensemble and lifelong learning

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.462130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.309512Z digest=sha256:3cb806a225f0b96a2863eca143977e9decfaf5c154c4a9812730d95493c87b38

Observation 11bb491f-a0f0-4a65-ae8f-da70d0497dbe · outbound

This paper cites Switchtab: Switched autoencoders are effective tabular learners.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Switchtab: Switched autoencoders are effective tabular learners

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.354073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.314551Z digest=sha256:4eb3ff9f38aefe6e0f223099c70ca79abc733cc97ee51a601a9f8a37eb61972c

Observation 9829889a-0cd3-4d94-b21c-5ab1161a53e1 · outbound

This paper cites Making pre-trained language models great on tabular prediction.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Making pre-trained language models great on tabular prediction

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.342457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.318637Z digest=sha256:f246b0840725bf7d10e26294e0c8b084fc80ad587d9194319ccc9c389d99a0c5

Observation 0b35c930-84d2-47b7-8e84-64ed7bcab643 · outbound

This paper cites A closer look at deep learning on tabular data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard A closer look at deep learning on tabular data

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.323989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.323989Z digest=sha256:8f49b1a83e93d5f76b7710de6684079883ac89f16947ef3b64b3c1f8ceefe322

Observation 9d70321a-7d40-4fc0-b37f-c9ab5f177f2f · outbound

This paper cites A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.328673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.328673Z digest=sha256:706b5df13c5e875a30a146f60059cb434a4fe23f23046b7eb5c099563f3e408b

Observation 9a964c8a-b182-4580-a17e-7a99cb9fe7d9 · outbound

This paper cites Revisiting nearest neighbor for tabular data: A deep tabular baseline two decades later.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Revisiting nearest neighbor for tabular data: A deep tabular baseline two decades later

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.289949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.362262Z digest=sha256:6cbfe72ffed441956c382e9387af31dc0040715d51e436dd94064963efab6ccb

Observation 80e9a046-1872-4968-a6b0-3d8a3a95981d · outbound

This paper cites Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.412455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.412455Z digest=sha256:e566c26ba82fcda6bd3ac7e1e2805baa1e978dbf1647db5384e546433196cab1

Observation e4b28e04-41dd-42f8-9d07-2d6f406decb1 · outbound

This paper cites Ptarl: Prototype-based tabular representation learning via space calibration.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Ptarl: Prototype-based tabular representation learning via space calibration

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.246237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.434371Z digest=sha256:844f8fa2e72fc958a6ee805b40d254b0cbfc47d23695c1f433c93ab2b494fdd3

Observation c7cfe6cf-41e8-4041-a4af-bcfa72d1562f · outbound

This paper cites Natural language reasoning, a survey.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Natural language reasoning, a survey

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.233082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.438425Z digest=sha256:1719ca35a38d7ae58ff783a87f04d80cab72cccb4c102cad6e266fbc0657c750

Observation b13dbde0-1c19-4522-b536-bc7060896292 · outbound

This paper cites Mlcopilot: Unleashing the power of large language models in solving machine learning tasks.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Mlcopilot: Unleashing the power of large language models in solving machine learning tasks

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.176955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.442616Z digest=sha256:b5d42ae9db667c74b8b2ecc8a4fd78f7284ec57f424ca19c3d11c8a46809b37b

Observation 58f6025d-1225-4a70-80e0-d82251d23719 · outbound

This paper cites AutoML-GPT: Automatic Machine Learning with GPT.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard AutoML-GPT: Automatic Machine Learning with GPT

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.446717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.446717Z digest=sha256:2ac1447a59e6fa790dfaf22c8e9cf1a5b3b32863c1148e3f959689a5abd06acd

Observation e1841965-df3a-429e-9627-cdea41454fef · outbound

This paper cites TIFG: text-informed feature generation with large language models.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TIFG: text-informed feature generation with large language models

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.106015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.451499Z digest=sha256:a2d10ca33c22740d745dff9e5884165aa73bb773ef5bf41e1a5633052bb1390b

Observation dc1317d9-1ec3-4b95-bbd5-632daab34adb · outbound

This paper cites Opencodeinterpreter: Integrating code generation with execution and refinement.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Opencodeinterpreter: Integrating code generation with execution and refinement

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:46.092965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.477919Z digest=sha256:ea375daea4ea08cb76e0e6713707f80b8995acd36069cf98f5cf8b40bd3da18d

Observation 1b10b1b4-8b8b-41d2-985e-93b1a227c2b8 · outbound

This paper cites Unlocking the Transferability of Tokens in Deep Models for Tabular Data.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unlocking the Transferability of Tokens in Deep Models for Tabular Data

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.524228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.524228Z digest=sha256:9c7d53a2275e6422a7d39f12ea2ac6b8039b7ece49e87ca8e3e547ea73be7ea0

Observation 55ffcf40-b1f5-47b4-bfb3-4ffdf07e4088 · outbound

This paper cites Deep forest.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Deep forest

Reference 85

Resolution
malformed identifier
raw_fallback, observed 2026-08-15T20:18:46.029872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.546757Z digest=sha256:b3291fa9e1e4ee95a1dca23a90a56e724ceac63a4b5162d5b675836b6b6856ec

Observation 2dad5bb8-cd28-4f54-87d7-dc402decfbf7 · outbound

This paper cites I predict the label of the target instance as [Your Answer].

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard I predict the label of the target instance as [Your Answer]

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.791287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.572379Z digest=sha256:519020a7f201b9dd9ccbbb90c98e8ff604d81c14bb33006b156b24d4958583ae

Observation b8323faf-3d4d-41bd-93c0-3de79d5582ad · outbound

This paper cites Then you select well-performing models from external models.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Then you select well-performing models from external models

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.983297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.611982Z digest=sha256:1027945b674b69cb0f9d6106c3e8ec95a7232505e6f182d79d5e1e4eddeb79de

Observation d0dcd7ff-f9d3-485d-b014-fddc1edf64ef · outbound

This paper cites If the majority of well-performing models predict incorrectly for a particular neighbor, it suggests that this neighbor might be an outlier, negatively affecting the predictions.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard If the majority of well-performing models predict incorrectly for a particular neighbor, it suggests that this neighbor might be an outlier, negatively affecting the predictions

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.906253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.665784Z digest=sha256:9841b33a049c48df0b3ba4e053e753d9502e7500ed62887f6740a928baeea3e3

Observation e5e28bc4-9e0f-4f83-b0f9-5552982db4a0 · outbound

This paper cites Models that perform well overall on the dataset may not be the most efficient at predicting the target instance.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Models that perform well overall on the dataset may not be the most efficient at predicting the target instance

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.806967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.691312Z digest=sha256:5691209dc5515b5a8e753d6615ce19f29cec50d31acd97da7a50e4b0cad5b057

Observation 49fd12f8-acf0-4f39-b0ef-ca27fef38a62 · outbound

This paper cites I predict the label of the target instance as [Your Answer].

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard I predict the label of the target instance as [Your Answer]

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.702314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.695121Z digest=sha256:ce33d12b811519d3192bae3ccdfc6d20a50e3649467730bdbbd3c0c9346ba595

Observation 87d1b47c-0108-46c1-af37-41d89e64cbb5 · outbound

This paper cites an unresolved cited work.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:18:45.613776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.698909Z digest=sha256:60ae516a57cf5a3fd95cb58d3eaacb6b818a253a282a9111139fae967005af39

Observation d803f225-9251-40e2-b7e7-e575cec5c7ed · outbound

This paper cites 1, 2, 4, 6, 7, 9, 10 are non-outliers as they have a majority of correct predictions from well-performing models.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard 1, 2, 4, 6, 7, 9, 10 are non-outliers as they have a majority of correct predictions from well-performing models

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.602370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.703141Z digest=sha256:5391da049616001decf0dcbf338cb8c4a4792b2c8941446f7a0c2e6993c5062d

Observation f31fcb95-fba3-42c7-b93f-8072c9bedf36 · outbound

This paper cites an unresolved cited work.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:18:45.576793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.707307Z digest=sha256:3e2c8455ca0ec82bacdc33f13672d844c575dee8adb38f431d0aeac147a8f028

Observation 70e20a80-b76b-4f16-9f98-788808d8c509 · outbound

This paper cites I predict the label of the target instance as 0.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard I predict the label of the target instance as 0

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.490250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.710950Z digest=sha256:8a2c3f91b0bea915912d507b376efdb22e100b9f5b98654444920db091495253

Observation 23bf7504-f062-47f3-abdc-d5f1af8c6fb7 · outbound

This paper cites an unresolved cited work.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work

Reference 98

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:18:45.477083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.715816Z digest=sha256:4a267277387fa2ef17e251938cde830fa107b7138acd31132f83357bec301023

Observation 490f9937-4cf3-4aa4-9ea0-d18592caf694 · outbound

This paper cites - Neighbors 3, 5, 8 have true label 1.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard - Neighbors 3, 5, 8 have true label 1

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.464977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.721456Z digest=sha256:b926108bbeb86fd6a08b2bf0e91c1787f26b6494034950282e62e48b722cb1ed

Observation b430ec09-8f80-4b66-aad6-2b3fb563e983 · outbound

This paper cites - MLP, ResNet, AutoInt, FTT consistently predict 0 for non-outliers.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard - MLP, ResNet, AutoInt, FTT consistently predict 0 for non-outliers

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:18:45.393922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.753385Z digest=sha256:cddaefab9ad7b6b5b30c138973baa3ac2e6d96c29a0e8291172b6c35272fbea7

Observation 4ba95a9e-096c-4780-99e2-9c31969abc09 · outbound

This paper cites an unresolved cited work.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:18:45.303902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.830922Z digest=sha256:87d1c38e156cb23d8a84549c28784696956a36cca561ed31eb915d0081949e31

Observation 2ee73b15-d0e7-4e24-ae11-9d1aab9ac657 · outbound

This paper cites an unresolved cited work.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work

Reference 103

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:18:45.291359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.876079Z digest=sha256:b9663d79580aeac11ed1ae1f0b892565c3e9bf84ac340fbff231f7172b52eaa8

Observation ad77d001-8c01-4717-a33b-a0528fc8f0a7 · outbound

This paper cites an unresolved cited work.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work

Reference 104

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:18:45.221208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:18:43.880359Z digest=sha256:5dc56a1d23028bb0293e314132f23f704f7a92f561b76516c713906b4fb98759

Pith citing papers

Observation cfa8c030-4053-411c-8665-a31a637304d7 · inbound

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data cites this paper.

Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:05:41.492083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-21T22:05:11.146329Z digest=sha256:341d9f7d85870b9a2acac2396f3d52c2eed90e508ae8b6bc04a563f339d316d9

Observation 32d86149-cf2f-4289-aba9-26242eebe759 · inbound

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

When Tabular Foundation Models Meet Strategic Tabular Data: A Prior Alignment Approach Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:43:05.571797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-20T05:42:00.584949Z digest=sha256:4e9de3ea2eed30cd65cd58c6f57e5d8adf8282169d3ad285b8a7f2f877f425e3