Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:36:52.819422Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2411.12441.
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 2026-08-12T17:36:52.819422Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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
55 of 55 outbound references displayed
External citation measurements
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction Avazu Dataset
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction Criteo Dataset
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction Unresolved cited work
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction On the Embedding Collapse when Scaling up Recommendation Models
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction Understanding Dimensional Collapse in Contrastive Self-supervised Learning
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction arXiv preprint arXiv:2407.13349 (2024)
Reference 25
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction Deep Learning Recommendation Model for Personalization and Recommendation Systems
Reference 30
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Reference 38
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask
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Reference 41
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Reference 2016
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Towards Unifying Feature Interaction Models for Click-Through Rate Prediction Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
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