Paper Citation Record · LEDGER

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2505.09590.

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

pith.paper-citation-record.v1
2505.09590 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:33:40.519130Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 791f9507-855a-428f-a046-d1b5fcf8573d · outbound

This paper cites Recommendation systems: Algorithms, challenges, metrics, and business opportunities.Applied Sciences, 10(21):7748, 2020.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Recommendation systems: Algorithms, challenges, metrics, and business opportunities.Applied Sciences, 10(21):7748, 2020

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.425044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 561c20bb-848b-4e89-afb9-63d4b2077a1c · outbound

This paper cites Issues and solutions in deep learning-enabled recommendation systems within the e-commerce field.Applied Sciences, 12(21):11256, 2022.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Issues and solutions in deep learning-enabled recommendation systems within the e-commerce field.Applied Sciences, 12(21):11256, 2022

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.304278Z

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Observation 6fba4391-b419-43e2-8d47-3c63bfa17f70 · outbound

This paper cites Contemporary Recommendation Systems on Big Data and Their Applications: A Survey.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Contemporary Recommendation Systems on Big Data and Their Applications: A Survey

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:33:40.741654Z

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Observation 68bc6739-ea89-4268-8a8d-cc8dfe1df43a · outbound

This paper cites Neuralcollaborativefiltering.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Neuralcollaborativefiltering

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.285241Z

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Observation 001bf6c8-ba66-4903-9765-f8ccd8584ce5 · outbound

This paper cites Attentive collaborative filtering: Multimedia recommendationwithitem-andcomponent-levelattention.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Attentive collaborative filtering: Multimedia recommendationwithitem-andcomponent-levelattention

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.263119Z

Source-reported events for the cited work

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Observation 69de4470-f07b-4201-abc7-b7feb6fa2f22 · outbound

This paper cites Lightgcn: Simplifying and powering graph convolution network for recommendation.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Lightgcn: Simplifying and powering graph convolution network for recommendation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:37.956223Z

Source-reported events for the cited work

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Observation fc772e95-ff34-4c10-9af0-9fb6a6b6f6f0 · outbound

This paper cites Disentangled graph collaborative filtering.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Disentangled graph collaborative filtering

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.146109Z

Source-reported events for the cited work

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Observation 0911f375-4a0a-4783-b8a2-9c9fbc8fb2d8 · outbound

This paper cites How powerful are k-hop message passing graph neural networks.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation How powerful are k-hop message passing graph neural networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:33:38.049486Z

Source-reported events for the cited work

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Observation 26b3385f-89cf-4f10-b0ed-bf1b5e663da2 · outbound

This paper cites Localaugmentation for graph neural networks.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Localaugmentation for graph neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.069954Z

Source-reported events for the cited work

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Observation 4bb77684-6ace-44b3-8632-7fc2cea9aca7 · outbound

This paper cites Robust mid-pass filtering graph convolutional networks.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Robust mid-pass filtering graph convolutional networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.052875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c089b78c-d87d-40f9-974f-ff3e16b1fc4c · outbound

This paper cites Mixed graph contrastive network for semi-supervised node classification.ACM Transactions on Knowledge Discovery from Data, 2024.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Mixed graph contrastive network for semi-supervised node classification.ACM Transactions on Knowledge Discovery from Data, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:43.035089Z

Source-reported events for the cited work

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Observation 8a00d316-6e62-4ec9-b73b-ef19563aa14b · outbound

This paper cites Graphneuralnetworksfornaturallanguage processing: A survey.Foundations and Trends®in Machine Learning, 16(2):119–328, 2023.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Graphneuralnetworksfornaturallanguage processing: A survey.Foundations and Trends®in Machine Learning, 16(2):119–328, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.900174Z

Source-reported events for the cited work

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Observation f7a9c2de-8430-4c77-8605-611f4b0a4833 · outbound

This paper cites OnwhichnodesdoesGCNfail?enhancingGCNfromthenodeperspective.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation OnwhichnodesdoesGCNfail?enhancingGCNfromthenodeperspective

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.766410Z

Source-reported events for the cited work

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Observation fe031699-f58d-444e-b3b8-cd0bf441ddf2 · outbound

This paper cites Nie-gcn: Neighbor item embedding-aware graph convolutional network for recommendation.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(5):2810–2821, 2024.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Nie-gcn: Neighbor item embedding-aware graph convolutional network for recommendation.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(5):2810–2821, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.746851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd3e5b4d-ba85-42d6-a2ab-bea1e7fc97b9 · outbound

This paper cites Multi-behavior recommendation with graph convolutional networks.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Multi-behavior recommendation with graph convolutional networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.683710Z

Source-reported events for the cited work

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Observation 8a6119b1-4ee9-4fc7-98d8-7a01518f5c0d · outbound

This paper cites an unresolved cited work.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:42.558959Z

Source-reported events for the cited work

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Observation 21a2a1c7-4984-4abd-b863-58e9cc658332 · outbound

This paper cites Meta-relation assisted knowledge-aware coupled graph neural network for recommendation.Information Processing & Management, 60(3):103353, 2023.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Meta-relation assisted knowledge-aware coupled graph neural network for recommendation.Information Processing & Management, 60(3):103353, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.428525Z

Source-reported events for the cited work

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Observation 6bd459f9-d548-4d0f-b00d-990405691595 · outbound

This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Understanding contrastive representation learning through alignment and uniformity on the hypersphere

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.312640Z

Source-reported events for the cited work

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Observation 68fd45af-d0cf-4264-8d87-7a8887b57f4d · outbound

This paper cites Lightgcn:Simplifyingandpoweringgraphconvolution networkforrecommendation.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Lightgcn:Simplifyingandpoweringgraphconvolution networkforrecommendation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.295085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b65b8f46-2739-4e09-bb57-3a099bee0832 · outbound

This paper cites InProceedings of the Web Conference 2021, pages 593–601, 2021.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation InProceedings of the Web Conference 2021, pages 593–601, 2021

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.181459Z

Source-reported events for the cited work

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Observation df9dea9b-60fd-4db6-bff5-a78e9b19ea91 · outbound

This paper cites Hrcf: Enhancing collaborative filtering via hyperbolic geometric regularization.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Hrcf: Enhancing collaborative filtering via hyperbolic geometric regularization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:42.087940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3cdf761-9302-4019-b691-1ccfd1695bb2 · outbound

This paper cites Adaptive popularity debiasing aggregator for graph collaborative filtering.(2023).A APPENDICES A, 1, 2023.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Adaptive popularity debiasing aggregator for graph collaborative filtering.(2023).A APPENDICES A, 1, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.995622Z

Source-reported events for the cited work

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Observation 6391e6ad-e697-490f-b73d-6cc004df960e · outbound

This paper cites Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system

Reference 23

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Source-reported events for the cited work

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This paper cites Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-15T21:33:40.688588Z

Source-reported events for the cited work

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Observation de46b26e-6994-4c50-95b6-134fcba200d3 · outbound

This paper cites Self-guided learning to denoise for robust recommendation.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Self-guided learning to denoise for robust recommendation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.872179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f95de8fb-2931-4778-8b56-758b7069ffab · outbound

This paper cites Learning robust recommenders through cross-model agreement.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Learning robust recommenders through cross-model agreement

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.855357Z

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Observation 61d5f9dd-d4c6-4fdf-9e12-ff2b51b3935f · outbound

This paper cites Springer, 2002.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Springer, 2002

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.621589Z

Source-reported events for the cited work

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Observation 5321b858-5bff-486d-8e7c-b496c34dd695 · outbound

This paper cites Graphmae: Self-supervised masked graph autoencoders.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Graphmae: Self-supervised masked graph autoencoders

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.542093Z

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Observation f579bd49-01b4-4a77-9597-cec8039adee6 · outbound

This paper cites Bayesian personalized ranking from implicit feedback.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Bayesian personalized ranking from implicit feedback

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.448601Z

Source-reported events for the cited work

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Observation 4aebeda3-c004-42f4-a041-0b178c6b3647 · outbound

This paper cites Field-aware factorization machines for ctr prediction.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Field-aware factorization machines for ctr prediction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.340099Z

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Observation 01bacfc3-c9ac-4446-ba04-5d4a0d5756ec · outbound

This paper cites A neural collaborative filtering model with interaction-based neighborhood.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation A neural collaborative filtering model with interaction-based neighborhood

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.320590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 51745ba5-dc01-453f-8fb0-9780acaf7588 · outbound

This paper cites Neural graph collaborative filtering.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Neural graph collaborative filtering

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.276381Z

Source-reported events for the cited work

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Observation c24a7cdf-db19-4ddd-863c-bcdea57e0a33 · outbound

This paper cites Disentangledgraphcollaborativefiltering.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Disentangledgraphcollaborativefiltering

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.089175Z

Source-reported events for the cited work

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Observation bc9ed154-0462-4523-b7e8-09f9a1f5c4fc · outbound

This paper cites Less is more: Reweighting important spectral graph features for recommendation.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Less is more: Reweighting important spectral graph features for recommendation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.070088Z

Source-reported events for the cited work

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Observation fe3065fe-8fe4-4ffc-ac1c-f8394dd64258 · outbound

This paper cites Self-supervised graph learning for recommendation.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Self-supervised graph learning for recommendation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.052935Z

Source-reported events for the cited work

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Observation fc3ad8b7-edad-45a6-a276-5c3aea27f918 · outbound

This paper cites Improving graph collaborative filtering with neighborhood-enriched contrastive learning.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Improving graph collaborative filtering with neighborhood-enriched contrastive learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:41.032322Z

Source-reported events for the cited work

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Observation 9c208430-0d47-4b4d-955a-81a26d259f7f · outbound

This paper cites Understandingthedifficultyoftrainingdeepfeedforwardneuralnetworks.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Understandingthedifficultyoftrainingdeepfeedforwardneuralnetworks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:33:40.866167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b6750988-a866-4679-a190-960b7a06144a · outbound

This paper cites an unresolved cited work.

Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:33:40.757900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

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