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Paper Citation Record · LEDGER

Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:07.489809Z

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 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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T06:26:11.248543Z digest=sha256:85399cea1399beb5e044fd89c62d6f2f5fd7aadc9f8b7deff77ce8cc6a1a94ba

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T19:24:48.300461Z digest=sha256:e4bfcc75a9fd21f84310bbe59f02e1d2020e62f50f92a3055914f5c5b8547973

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.

source=pdf_text observed=2026-08-07T04:24:55.245368Z digest=sha256:d8dd9079057f7654f71bf3b7bf4fb31985108cb3c6cfbe3a0752845c5c9c0919

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.

source=pdf_text observed=2026-08-07T11:25:07.489809Z digest=sha256:3d3d4f3a8d1953cf00cd6b6a4d746ce22f4a689fb139bb7fae158f5a0667547c

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

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

PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T02:57:27.702617Z digest=sha256:eccfd70a03073849b0015448278d02410e43acef1bbf0f334ed7e6dd03d2a3ec