Paper Citation Record · LEDGER

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2506.00048.

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

pith.paper-citation-record.v1
2506.00048 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:14.470929Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

12 of 12 outbound references displayed

verified exact0
verified fuzzy9
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87c27c6f-0eae-430d-ac0b-d8680936eb15 · outbound

This paper cites Measuring and reliev- ing the over smoothing problem for graph neural networks from the topological view.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Measuring and reliev- ing the over smoothing problem for graph neural networks from the topological view

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:17.001255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6de6ea84-2a15-4e14-b3f5-b22d77daebe9 · outbound

This paper cites Revisitinggraphbasedcollabora- tive f iltering: A linear residual graph convolutional network approach.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Revisitinggraphbasedcollabora- tive f iltering: A linear residual graph convolutional network approach

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.833311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a18119dc-0217-46f8-8a45-5fe468b44b9b · outbound

This paper cites LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:13.434939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b51119-4e41-4097-8b56-8b9daf89f4e8 · outbound

This paper cites Contrastive multi-view representation learn- ing on graphs.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Contrastive multi-view representation learn- ing on graphs

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.675068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6254c546-eed9-4def-a2bb-00aaa239dc6e · outbound

This paper cites Factorization meets the neighborhood: a multifaceted collaborative filtering model.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Factorization meets the neighborhood: a multifaceted collaborative filtering model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.504809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57b329f1-5ea0-4579-84e3-e4be414cf090 · outbound

This paper cites Matrix factorization techniques for rec- ommender systems.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Matrix factorization techniques for rec- ommender systems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.319828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eac8b82c-f597-4ada-b735-298cf46ae495 · outbound

This paper cites Task-adaptive neural process for user cold-start recommendation.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Task-adaptive neural process for user cold-start recommendation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:16.099078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05119af1-b227-442c-8531-0ce26562dc93 · outbound

This paper cites Learning matrix space image representations.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Learning matrix space image representations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:15.772656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96e3ffb6-6f76-40e6-a118-d8d7a91af044 · outbound

This paper cites ”Self-supervised graph learning for recommendation.” Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL ”Self-supervised graph learning for recommendation.” Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:15.490782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06bfb43f-360b-4511-b229-390518b1b55c · outbound

This paper cites an unresolved cited work.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:08:15.225637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed1c5655-bbbf-4994-83d7-2d5f4afa3bae · outbound

This paper cites an unresolved cited work.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:08:14.967657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d07d2774-3b93-49ff-bbe1-bf90020bd910 · outbound

This paper cites Enhancing sequential recommendation with graph contrastive learning.

Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL Enhancing sequential recommendation with graph contrastive learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:14.743929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.