Paper Citation Record · LEDGER

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1708.04617.

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

pith.paper-citation-record.v1
1708.04617 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:20.081603Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T14:46:18.665638Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ff8acecc-6ad1-4d43-909d-24802fe6efed · inbound

Recommendation with Attribute-aware Product Networks: A Representation Learning Model cites this paper.

Recommendation with Attribute-aware Product Networks: A Representation Learning Model Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-14T13:08:24.461804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72cac123-43fc-4422-857b-5d23fa823cd1 · inbound

Feature Interaction-aware Graph Neural Networks cites this paper.

Feature Interaction-aware Graph Neural Networks Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T12:30:17.658797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 602baf40-9d8d-4e8a-a800-8ae237b46339 · inbound

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction cites this paper.

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T17:36:52.782291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cec088a1-366c-4fc7-b1cb-b0bafecce26e · inbound

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction cites this paper.

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:43:09.590298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2533cce8-de34-40af-bf5c-8752b0b64002 · inbound

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation cites this paper.

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T12:29:20.081603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f81f2ae4-9bb1-417a-85d9-330bdf5d29c5 · inbound

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation cites this paper.

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:57.455809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ebb5043-ed73-4d5e-8f8e-7afcf8def497 · inbound

Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation cites this paper.

Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:16.540845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6628564-b7e4-4dbe-8779-cf5a72d36651 · inbound

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:59.216973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7db58054-6674-4447-951f-e3106ee5e4e1 · inbound

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets cites this paper.

Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 2017

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T14:46:18.671448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f2139ba-8fb5-4fbd-b15d-e5ea5c84cdae · inbound

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation cites this paper.

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T23:20:19.155467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b38a2f74-7bbd-46da-abc2-30a9ccabe70c · inbound

SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation cites this paper.

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T04:02:20.023774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.