Paper Citation Record · LEDGER

Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.03365.

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

pith.paper-citation-record.v1
2402.03365 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:26:02.506780Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:27:38.201497Z

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 d0b18fae-a10a-4e72-aa53-bf99f4ee7155 · inbound

Neighborhood-Order Learning Graph Attention Network for Fake News Detection cites this paper.

Neighborhood-Order Learning Graph Attention Network for Fake News Detection Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T14:26:02.506780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0aa3a1-187e-4d6c-91d8-1b4efd3f6892 · inbound

Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation cites this paper.

Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:27:38.205860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 64d7e8b0-7646-4ed6-bc8d-6bb296e0e6fd · inbound

Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation cites this paper.

Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:25:03.720322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55e6777e-9113-4361-8878-d10b824f74ca · inbound

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation cites this paper.

Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:55.245368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a9b322-6846-45b3-9cd8-6321ebd51dd3 · inbound

Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey cites this paper.

Graph Neural Networks in Multi-Omics Cancer Research: A Structured Survey Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:25:07.489809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0202c616-bbfd-49e6-88cc-bd22630602dd · inbound

PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems cites this paper.

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:02:00.727068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.