Paper Citation Record · LEDGER

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.05744.

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

pith.paper-citation-record.v1
2505.05744 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:05:12.287778Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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External citation measurements

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Outbound references

Observation 80398edc-3bc6-4a0c-a52e-0fefbe6aa4cd · outbound

This paper cites In: Pro- ceedings of the AAAI conference on artificial intelligence.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Pro- ceedings of the AAAI conference on artificial intelligence

Reference 1

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Unresolved cited work

Reference 2

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Observation 46e7633b-e16e-474f-a5cf-151eaa18f22b · outbound

This paper cites Gradient Boosting Neural Networks: GrowNet.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Gradient Boosting Neural Networks: GrowNet

Reference 3

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This paper cites SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Reference 4

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This paper cites In: International Conference on Learning Representations (2022).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: International Conference on Learning Representations (2022)

Reference 5

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This paper cites Machine learning45, 5–32 (2001).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Machine learning45, 5–32 (2001)

Reference 6

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This paper cites ReConTab: Regularized Contrastive Representation Learning for Tabular Data.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification ReConTab: Regularized Contrastive Representation Learning for Tabular Data

Reference 7

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This paper cites In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

Reference 8

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This paper cites Advances in Neural Information Processing Systems35, 11763–11784 (2022).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in Neural Information Processing Systems35, 11763–11784 (2022)

Reference 9

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This paper cites In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Reference 10

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This paper cites In: Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue

Reference 11

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Observation 826fdd27-b529-435b-a54e-dc7df25d4ad3 · outbound

This paper cites Advances in Neural Information Processing Systems34, 18932–18943 (2021).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in Neural Information Processing Systems34, 18932–18943 (2021)

Reference 12

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This paper cites In: Statistical models in S, pp.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Statistical models in S, pp

Reference 13

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This paper cites In: Proceedings of 3rd international conference on document analysis and recognition.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Proceedings of 3rd international conference on document analysis and recognition

Reference 14

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This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: The Eleventh International Conference on Learning Representations (2023)

Reference 15

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

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 16

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This paper cites Advances in neural information processing systems34, 23928– 23941 (2021).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in neural information processing systems34, 23928– 23941 (2021)

Reference 17

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Observation 8e69f24c-86f0-46f6-a9b0-209f55987b77 · outbound

This paper cites Advances in neural information processing systems30 (2017).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in neural information processing systems30 (2017)

Reference 18

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This paper cites In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Reference 19

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Unresolved cited work

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This paper cites Advances in neural information processing systems30 (2017).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in neural information processing systems30 (2017)

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Observation 9751436c-f539-4b99-824d-4a7fcd1160ca · outbound

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Circulation117(18), 2395–2399 (2008)

Reference 22

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This paper cites ACM Computing Surveys55(9), 1–35 (2023).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification ACM Computing Surveys55(9), 1–35 (2023)

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Unresolved cited work

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Decision Support Systems62, 22–31 (2014)

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Work- shop on Efficient Systems for Foundation Models@ ICML2023 (2023)

Reference 26

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This paper cites In: The Eleventh International Conference on Learning Representations (2023).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: The Eleventh International Conference on Learning Representations (2023)

Reference 27

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in neural information pro- cessing systems 31 (2018)

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This paper cites TABLET: Learning From Instructions For Tabular Data.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification TABLET: Learning From Instructions For Tabular Data

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Pro- ceedings of the 28th ACM international conference on information and knowledge management

Reference 32

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification LLaMA: Open and Efficient Foundation Language Models

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: Proceedings of the web conference 2021

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Emergent Abilities of Large Language Models

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Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in Neural Information Processing Systems35, 24824–24837 (2022)

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This paper cites Advances in Neural Information Processing Systems33, 11033–11043 (2020).

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Advances in Neural Information Processing Systems33, 11033–11043 (2020)

Reference 37

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This paper cites In: The Eleventh International Conference on Learning Representations.

Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification In: The Eleventh International Conference on Learning Representations

Reference 38

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Pith citing papers

No inbound Pith citation observations are available.