Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T05:32:59.830298Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2602.02025.
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 2026-08-03T05:32:59.830298Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
37 of 37 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation da957803-02ba-47fc-8211-99b511a2ac0d · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 1
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Observation da26ff8b-fc5c-4547-beda-af35c72ae7ac · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 2
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Unavailable: canonical work link unavailable.
Observation a14d15ca-a051-4b4e-b7fa-e0be875bdd89 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 3
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Observation cf247fd4-64fc-40b2-a9da-c43be164f62a · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 4
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Observation 7f59575e-796e-4aad-934b-033d22511597 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 5
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Observation 7daa1231-6a4e-4aeb-a090-844121ffdf8c · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 6
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Observation 073ea468-408d-488f-85ec-cbc29296f57e · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Dyer and Camille F
Reference 7
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Observation 37a03155-bea4-45c0-b0d9-35a0cdb0a484 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Reference 8
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Observation 812559f8-c3e4-40e4-8d10-c37574bee531 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 9
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Observation 34a3409c-281f-4da1-b8c7-b785f8a1ac74 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 10
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Observation 3748bb2a-5c12-40a2-b142-217dd5f6baa5 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 11
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Observation 5c7f0710-866c-48dd-8b0c-32cde8ff6de7 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 12
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Observation 7f204fc6-5563-4ba5-8cae-e8f2d4ed672a · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 13
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Observation 49a0f8a8-8931-4105-9379-18a0c55a50c3 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 14
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Observation dc455c08-4e67-42a6-9e09-9c6c417b3bee · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 15
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Unavailable: canonical work link unavailable.
Observation 589d0036-5827-4fb2-a404-164c2a5cece1 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Jeong, Zachary Chase Lipton, and Pradeep Kumar Ravikumar
Reference 16
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Observation 029203a4-5f88-434c-8549-5e12bcd893dd · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
Reference 17
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Observation ca525313-d46f-4a4c-903c-6ef1c95ab955 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 18
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Observation 617ca679-449b-451f-a8e4-4f6ffdb69850 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 19
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Observation 3e428fa0-0d3c-4772-8c45-c061b8c71cd2 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Miller, and Mirek Riedewald
Reference 20
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Observation 1a0c0b8d-c05c-4757-b66b-707f3de1e359 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Naughton, Jignesh M
Reference 21
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Unavailable: canonical work link unavailable.
Observation 7ea8a0ed-af35-4972-9426-fbcbae47a7d9 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 22
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Observation 525eaf8d-9437-47ca-9ebc-97f5347adaf0 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 23
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Observation 45ffe852-cdc7-4994-a0f5-7a0a18f5a321 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 24
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Observation b2634cce-743a-4313-bcd0-86645abd5c81 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 25
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Observation 4ff28d82-4c65-488d-9907-a69b20414c71 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 26
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Observation 6bdc03ab-e47e-4f16-8295-fac35e992297 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 27
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Observation fd2a9a8f-7a08-4167-bee9-7e0b382dbb42 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 28
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Observation dcfbf9f1-478f-4831-aaa0-98b00d3cccb6 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 29
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Observation cb8ec5f7-defb-495c-adda-88a17dc2d70f · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 30
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Observation 384f2c78-e9ec-43d4-ac65-4f3884474aad · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 31
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Observation c920ff48-42ec-4620-8093-c2b32f1e1160 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 32
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Observation 423ebaa4-f8d3-4fb4-8ae8-1c191a6083a3 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Alizadeh, Kangwook Lee, Jose Blanchet, Mert Pilanci, and Robert Tibshirani
Reference 33
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Observation 0fd250fd-9dec-4b07-90bd-f20ffdd67915 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 34
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Observation 106b628a-837f-4710-93cf-ce7a432f9262 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data Unresolved cited work
Reference 35
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Observation 6b691f9d-fad8-44e7-85ec-b0ee46f2f4d7 · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data In40th IEEE International Conference on Data Engineering (ICDE)
Reference 2024
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Observation be4bbc4e-f6bb-46b6-bf79-5c962d08fbae · outbound
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
Reference 2025
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No inbound Pith citation observations are available.