Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:43.880359Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:18:43.880359Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-21T22:05:11.146329Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T22:05:41.488612Z
100 of 106 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 41826eaa-9799-486e-898a-b1563fbcb8d3 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard GPT-4 Technical Report
Reference 1
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Observation 285309b2-2903-4d02-a00a-a07101779e25 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Credit risk analysis using machine and deep learning models
Reference 2
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Observation c9428dc8-47c7-4971-8b52-c70d5365592b · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Arik and Tomas Pfister
Reference 3
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Observation 5a92dd4d-8868-4eca-bff4-daa81bb69c0d · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Gradient Boosting Neural Networks: GrowNet
Reference 4
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Observation 85b8947b-a30a-41b4-85b7-7766294c52b0 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Exploring LLM Agents for Cleaning Tabular Machine Learning Datasets
Reference 5
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Observation 2d27fd0e-371a-4907-a7bf-2bacd81347bd · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unveiling challenges for llms in enterprise data engineering
Reference 6
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Observation 54601505-8696-4cc7-af05-b76a4d908bb5 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
Reference 7
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Observation e54080b4-5a60-4248-85d8-cc9427f647ff · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Deep neural networks and tabular data: A survey
Reference 8
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Observation 62ef0ecd-9ca4-42dd-ab37-7a8ebc5f433c · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Conditional likelihood maximisation: A unifying framework for information theoretic feature selection
Reference 9
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Observation 96dbace0-3e19-493c-983e-cbc92b16eeed · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Language models are few-shot learners
Reference 10
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Observation 1fb8500b-9db0-420e-896b-29f8b64cb00e · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Understanding the limits of deep tabular methods with temporal shift
Reference 11
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Observation a03a8e11-bc63-4a2a-a332-bc0eb715ca42 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard MLE-bench: Evaluating machine learning agents on machine learning engineering
Reference 12
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Observation 97fdf375-33f5-488a-a526-9df195a08a8d · outbound
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
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Observation a7bba0a1-c90a-425b-aca2-61f93d742412 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Chen, and Jian Wu
Reference 14
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Observation 69943e04-9da7-4a92-a2e3-715d2d1b77ec · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard ExcelFormer: A neural network surpassing GBDTs on tabular data
Reference 15
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Observation a406c254-d3bd-4b5f-8744-78a9f4b8d9f5 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Trompt: Towards a better deep neural network for tabular data
Reference 16
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Observation 73911d5b-f4a9-47b2-960b-3b505ab5ae6a · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Xgboost: A scalable tree boosting system
Reference 17
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Observation bdb869ad-0108-4970-883d-c08f1e0710b3 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard DeepSeek-V3 Technical Report
Reference 18
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Observation 50aff069-2bde-4d7c-a51c-d4759783b528 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Lift: Language-interfaced fine-tuning for non-language machine learning tasks
Reference 19
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Observation 5859b4a9-fc27-460e-b5bf-e1f12bc90c24 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
Reference 20
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Observation 13d01b0e-d74b-47a8-8bbe-58bb017e3378 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 21
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Observation ecc0c345-e4f0-4399-9431-233af283674f · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Large scale transfer learning for tabular data via language modeling
Reference 22
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Observation 45eff595-df47-4978-861c-c60e0ad2c883 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabm: Advancing tabular deep learning with parameter-efficient ensembling
Reference 23
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Observation 2c8f4c40-b29c-4f63-bcab-0046bff46918 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard On embeddings for numerical features in tabular deep learning
Reference 24
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Observation 0d23af87-fdc3-44e0-a942-27f0ee0330a3 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabr: Tabular deep learning meets nearest neighbors in 2023
Reference 25
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Observation 1b442ed6-84b8-41e2-a627-a24135805bee · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Revisiting deep learning models for tabular data
Reference 26
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Observation f99f3409-149e-4d66-8e72-dbe61bd6257b · outbound
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
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Observation 02a8fc39-fd3a-4b4d-b0a3-047bf4583da7 · outbound
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
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Observation ddad1f6b-39ce-4a95-8f13-dfdb38194d09 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Rafiul Hassan, Sadiq Al-Insaif, Muhammad Imtiaz Hossain, and Joarder Kamruzzaman
Reference 29
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Observation 81f3f7fd-e63e-47d9-8fed-f76ec0b7ad32 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabllm: Few-shot classification of tabular data with large language models
Reference 30
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Observation 52ef869d-ca6b-4699-8b3d-230534663af7 · outbound
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
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Observation 68f9dfb7-a276-4f9d-bff1-8a87e4f46ff3 · outbound
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
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Observation f84aa37a-add7-4e0d-b189-324324ad9c3f · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Accurate predictions on small data with a tabular foundation model
Reference 33
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Observation 4feee6da-dfb3-4d35-8f27-c06231b63b79 · outbound
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
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Observation f102288d-ed4d-4eaa-87df-ba1e18390ac8 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Infiagent-dabench: Evaluating agents on data analysis tasks
Reference 35
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Observation a66a50d5-16b5-417b-a908-24285b144106 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Mlagentbench: Evaluating language agents on machine learning experimentation
Reference 36
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Observation dbe1fc70-5738-4c7c-8a7d-183bab2ecc6e · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Reference 37
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Observation beae45e2-477b-4cbd-abd0-1ad726af5bd5 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Automated machine learning: methods, systems, challenges
Reference 38
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Observation 479551a6-6b97-4414-8ccc-3783cc4bbd91 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tangos: Regularizing tabular neural networks through gradient orthogonalization and specialization
Reference 39
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Observation 7641df64-213c-4b5c-9959-2874f0559853 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Representation Learning for Tabular Data: A Comprehensive Survey
Reference 40
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Observation 9cdd3ec4-b93a-4072-a7b4-6e714dd6676a · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Tabular insights, visual impacts: Transferring expertise from tables to images
Reference 41
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Observation c5387f48-3c4c-40a6-ba20-cd2b72c8e85c · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard AIDE: AI-Driven Exploration in the Space of Code
Reference 42
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Observation 875d36d8-2cbc-42e3-a238-1bfeef7096a5 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Lightgbm: A highly efficient gradient boosting decision tree
Reference 43
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Observation 4167e033-b7a7-4c78-a6b7-7c04dda03281 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Self-normalizing neural networks
Reference 44
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Observation 01e4b6d0-3e8c-486c-82ef-7c33add1bcc1 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Towards localization via data embedding for tabPFN
Reference 45
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Observation ac3654cb-f925-4e5c-9a15-0d2e43313859 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Large Language Models Engineer Too Many Simple Features For Tabular Data
Reference 46
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Observation a3a4c771-e5fc-42b4-99fa-e4d88d985adf · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Retrieval-augmented generation for knowledge-intensive nlp tasks
Reference 47
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Observation 41ef8cc1-2ed7-49ed-9c1b-0bb453541823 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions
Reference 48
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Observation f6496bb5-390c-401a-b05e-3c55fd175797 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TALENT: A Tabular Analytics and Learning Toolbox
Reference 49
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Observation e847fac3-92e8-4394-b4b9-c6cf127cae52 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Reference 50
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Observation ce065182-9692-4f56-af7a-91d32b1b1062 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 51
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Observation 6f89c31d-965c-43f5-aaa1-3933693ece10 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Cresswell, Keyvan Golestan, Guangwei Yu, Maksims V olkovs, and Anthony L
Reference 52
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Observation 5571e5b4-0a1b-45a2-93ee-b12a272c9d72 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Zico Kolter
Reference 53
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Observation b9a36fb1-babc-42e2-a567-3d5909c3a0e5 · outbound
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
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Observation efc78daa-e9f3-4928-aaeb-7a5bdbc7fba9 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Statistical foundations of prior-data fitted networks
Reference 55
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Observation c26f9f8f-c783-46a0-b46a-dfa191283671 · outbound
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
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Observation 6c145970-d955-4a39-931c-e07f396becab · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Efficient neural architecture search via parameters sharing
Reference 57
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Observation adac47b3-c99a-412c-9c27-48da91b24ae9 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Neural oblivious decision ensembles for deep learning on tabular data
Reference 58
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Observation 7ca5859d-0d10-40e7-8891-887696e7c03b · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery
Reference 59
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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
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Catboost: unbiased boosting with categorical features
Reference 61
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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
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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
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Autoint: Automatic feature interaction learning via self-attentive neural networks
Reference 64
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Caterini
Reference 65
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Deep & cross network for ad click predictions
Reference 66
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work
Reference 67
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Transtab: Learning transferable tabular transformers across tables
Reference 68
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Chain-of-thought prompting elicits reasoning in large language models
Reference 69
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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
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Batchensemble: an alternative approach to efficient ensemble and lifelong learning
Reference 71
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Switchtab: Switched autoencoders are effective tabular learners
Reference 72
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Reference 73
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Observation 0b35c930-84d2-47b7-8e84-64ed7bcab643 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard A closer look at deep learning on tabular data
Reference 74
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Reference 75
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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
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Observation 80e9a046-1872-4968-a6b0-3d8a3a95981d · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective
Reference 77
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Ptarl: Prototype-based tabular representation learning via space calibration
Reference 78
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Reference 79
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Reference 80
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Reference 81
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard TIFG: text-informed feature generation with large language models
Reference 82
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Opencodeinterpreter: Integrating code generation with execution and refinement
Reference 83
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Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Reference 84
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Observation 55ffcf40-b1f5-47b4-bfb3-4ffdf07e4088 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Deep forest
Reference 85
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2dad5bb8-cd28-4f54-87d7-dc402decfbf7 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard I predict the label of the target instance as [Your Answer]
Reference 89
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b8323faf-3d4d-41bd-93c0-3de79d5582ad · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Then you select well-performing models from external models
Reference 90
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0dcd7ff-f9d3-485d-b014-fddc1edf64ef · outbound
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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e5e28bc4-9e0f-4f83-b0f9-5552982db4a0 · outbound
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
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.
Observation 49fd12f8-acf0-4f39-b0ef-ca27fef38a62 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard I predict the label of the target instance as [Your Answer]
Reference 93
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.
Observation 87d1b47c-0108-46c1-af37-41d89e64cbb5 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work
Reference 94
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.
Observation d803f225-9251-40e2-b7e7-e575cec5c7ed · outbound
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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f31fcb95-fba3-42c7-b93f-8072c9bedf36 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work
Reference 96
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.
Observation 70e20a80-b76b-4f16-9f98-788808d8c509 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard I predict the label of the target instance as 0
Reference 97
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.
Observation 23bf7504-f062-47f3-abdc-d5f1af8c6fb7 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work
Reference 98
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.
Observation 490f9937-4cf3-4aa4-9ea0-d18592caf694 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard - Neighbors 3, 5, 8 have true label 1
Reference 99
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b430ec09-8f80-4b66-aad6-2b3fb563e983 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard - MLP, ResNet, AutoInt, FTT consistently predict 0 for non-outliers
Reference 100
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ba95a9e-096c-4780-99e2-9c31969abc09 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work
Reference 101
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ee73b15-d0e7-4e24-ae11-9d1aab9ac657 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work
Reference 103
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.
Observation ad77d001-8c01-4717-a33b-a0528fc8f0a7 · outbound
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Unresolved cited work
Reference 104
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.
Observation cfa8c030-4053-411c-8665-a31a637304d7 · inbound
Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard
Reference 18
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 32d86149-cf2f-4289-aba9-26242eebe759 · inbound
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
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.