Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:35.529671Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 89 of 89 outbound references and 0 inbound Pith citation observations for arXiv:2505.17999.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:35.529671Z
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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89 of 89 outbound references displayed
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Unresolved cited work
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Unresolved cited work
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction In2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Unresolved cited work
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Unresolved cited work
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction In Proceedings of the 26th International Joint Conference on Artificial Intelligence
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction Proceedings of the AAAI Conference on Artificial Intelligence, 37(4), 4552-4560
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Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction arXiv:2407.13349 [cs.IR] https://arxiv.org/abs/2407.13349
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