Paper Citation Record · LEDGER

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.13743.

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

pith.paper-citation-record.v1
2501.13743 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:43:24.937155Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

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

verified exact1
verified fuzzy26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c8e1560d-7b2d-44d0-8ad1-3899dd24dcf1 · outbound

This paper cites Gptree: Towards explainable decision- making via llm-powered decision trees,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Gptree: Towards explainable decision- making via llm-powered decision trees,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.922858Z

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Observation 26bff0c4-8624-4848-b7dc-7423fb4df9ae · outbound

This paper cites Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey

Reference 2

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Observation 3db15c3e-24f2-4038-b36c-ae2148b6295c · outbound

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GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Unresolved cited work

Reference 3

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Observation 96a0af1d-45df-4fff-8118-455d62a26f5a · outbound

This paper cites Induction via id3,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Induction via id3,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.897629Z

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Observation d2ee3807-3048-46ca-8b24-87dfd969bdba · outbound

This paper cites On the handling of continuous-values attributes in decision tree generation,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification On the handling of continuous-values attributes in decision tree generation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.885117Z

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Observation 843d2437-520c-48e6-9c16-a764f7864a68 · outbound

This paper cites Breiman, J.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Breiman, J

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.829452Z

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Observation d770edd0-204a-4958-b37b-540d0a33f4fe · outbound

This paper cites Quinlan, Programs for Machine Learning.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Quinlan, Programs for Machine Learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.699271Z

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Observation 0aa6c2e4-4724-4e6e-ae99-f93829ec2d3b · outbound

This paper cites Improved use of continuous attributes in c4.5,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Improved use of continuous attributes in c4.5,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.525541Z

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This paper cites Multivariate decision trees,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Multivariate decision trees,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.516810Z

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Observation 79a97ce2-558a-40d3-b89a-dd21fff37eb6 · outbound

This paper cites A comparative study on feature selection in text catego- rization,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification A comparative study on feature selection in text catego- rization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.508081Z

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Observation 6912e5ac-a855-4a60-bbe0-e1a149167dfa · outbound

This paper cites Some applications of tree based modeling to speech and language index- ing,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Some applications of tree based modeling to speech and language index- ing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.500081Z

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Observation 1d506731-df69-4393-a083-066306a767fb · outbound

This paper cites Compact decision trees with cluster validity for speech recognition,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Compact decision trees with cluster validity for speech recognition,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.477107Z

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Observation 94e2227a-f69b-45f5-a6ab-f9c5d8c4a6ed · outbound

This paper cites A decision tree system for finding genes in dna,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification A decision tree system for finding genes in dna,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.382784Z

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Observation e79b2e5a-982c-4465-b51f-d3293dc332b1 · outbound

This paper cites Web document clustering: A feasibility demonstration,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Web document clustering: A feasibility demonstration,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.265796Z

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Observation c6f058c0-d3f8-4d4b-ae36-56231e2d158f · outbound

This paper cites A personalized recommender system based on web usage mining and decision tree induction,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification A personalized recommender system based on web usage mining and decision tree induction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.254310Z

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Observation ab286878-b315-4980-a386-cb78a00a337f · outbound

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

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Large language models for automated data science: Introducing caafe for context-aware automated feature engineering,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.243432Z

Source-reported events for the cited work

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Observation 9bb84cf6-e309-4c7c-a33e-dccffb4ed051 · outbound

This paper cites Grammar prompting for domain-specific language generation with large language models,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Grammar prompting for domain-specific language generation with large language models,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:26.187668Z

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Observation 52769b18-e6a0-418a-9bc0-043de5952de4 · outbound

This paper cites GPT-4 Technical Report.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification GPT-4 Technical Report

Reference 18

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Observation 2760d53e-fdf6-4cba-b5fa-8d8bfcf29fd6 · outbound

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GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification LLaMA: Open and Efficient Foundation Language Models

Reference 19

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Observation 1e42f75f-0876-4930-888d-0b4f4aa9698a · outbound

This paper cites Bliva: A simple multimodal llm for better handling of text-rich visual questions,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Bliva: A simple multimodal llm for better handling of text-rich visual questions,

Reference 20

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Observation 5b95449f-11bc-4113-8199-51fe8704b06b · outbound

This paper cites Link-context learning for multimodal llms,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Link-context learning for multimodal llms,

Reference 21

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Observation b8b9a3bd-7834-40b4-8189-3ea5d8693b76 · outbound

This paper cites AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models

Reference 22

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Observation d1fcf53a-3285-478d-bf9c-dff64946a59e · outbound

This paper cites Plan, generate and match: Scientific workflow recommendation with large language models,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Plan, generate and match: Scientific workflow recommendation with large language models,

Reference 23

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Observation 3bd6c323-e9a7-468d-bcd0-277d6ea6578a · outbound

This paper cites Conversa- tional process modelling: state of the art, applications, and implications in practice,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Conversa- tional process modelling: state of the art, applications, and implications in practice,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:25.883320Z

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Observation 0ace636c-ff53-4ff2-af9e-6f693059cf06 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Multimodal Chain-of-Thought Reasoning in Language Models

Reference 25

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Observation 9144e8c7-b816-4775-84a5-1f56fedb8a0e · outbound

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GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Verbalized Machine Learning: Revisiting Machine Learning with Language Models

Reference 26

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Observation ea5bb562-4c13-4f38-bcfe-5e5269b833dc · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Data Interpreter: An LLM Agent For Data Science

Reference 27

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Observation 159351e2-bb00-4f46-99ea-9e2054004206 · outbound

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GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Substrat: A subset-based optimization strategy for faster automl,

Reference 28

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Observation dfd4a75b-5ac5-47b1-a3d1-26cff91decb8 · outbound

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GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Automated evo- lutionary approach for the design of composite machine learning pipelines,

Reference 29

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GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Diffusionnag: Predictor-guided neural architecture generation with diffusion models,

Reference 30

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Observation 399989cb-1981-43aa-b0d5-67dfed6bbf54 · outbound

This paper cites Github copilot ai pair programmer: Asset or liability?,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Github copilot ai pair programmer: Asset or liability?,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:25.587265Z

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Observation c404eb8a-7b07-489b-b26f-91fa74def634 · outbound

This paper cites How to support ml end-user programmers through a conversational agent,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification How to support ml end-user programmers through a conversational agent,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:25.492563Z

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Observation 3ce32ebc-da14-4aa1-b31b-82766d965d51 · outbound

This paper cites MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks

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Observation 437b6623-48b8-4f49-a50d-2113c6bfa141 · outbound

This paper cites Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning

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GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Dynamic and adaptive feature generation with llm,

Reference 35

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Observation 3a79cc49-e344-4fa4-b511-fd4ad75d450c · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification On the Opportunities and Risks of Foundation Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T15:43:24.928914Z

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Observation 5ad117b4-270f-44b2-8534-df68d09f6b64 · outbound

This paper cites A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification A survey on large language model (llm) security and privacy: The good, the bad, and the ugly,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:25.301972Z

Source-reported events for the cited work

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Observation 46f23eb3-c837-4022-a6b8-6cd254b064a5 · outbound

This paper cites Modeling tabular data using conditional gan,.

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification Modeling tabular data using conditional gan,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:43:25.280442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

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