Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:19:00.867734Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2507.05962.
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 2026-08-06T19:19:00.867734Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Program Synthesis with Large Language Models
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective N., Hoos, H., B¨ack, T., et al
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective G., Soares, C., and Vilalta, R
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Is Functional Correctness Enough to Evaluate Code Language Models? Exploring Diversity of Generated Codes
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Unresolved cited work
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Unresolved cited work
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective D., and Liang, X
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective and Poirier, S
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective AutoProteinEngine: A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective G., and Shen, Y
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Unresolved cited work
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective L., Srinivas, V
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Unresolved cited work
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective and Giraud-Carrier, C
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Unresolved cited work
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
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Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective AutoML-GPT: Large Language Model for AutoML
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