Paper Citation Record · LEDGER

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2002.02126.

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

pith.paper-citation-record.v1
2002.02126 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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:57:13.293481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:34:48.779685Z

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 46d73d19-ce07-425f-874e-8d350cb04785 · inbound

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation cites this paper.

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T12:57:13.293481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431b55d1-2ef7-4ed0-849f-27a0ecd359a6 · inbound

Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening cites this paper.

Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:12.939016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 214c2705-7976-4eb5-bac0-653a2c1d2295 · inbound

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation cites this paper.

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T18:26:59.896976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb6f4b6-d087-4bfc-9e7e-6c0b8f066ae6 · inbound

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking cites this paper.

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.780971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 45140973-3e61-4267-9699-ea500ba5b4f4 · inbound

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement cites this paper.

Remedying Coarsening-Based GNN Training under Heterophily via Adaptive Complementary Enhancement LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Reference 211

Resolution: unresolved; no resolver link, observed 2026-08-01T06:31:48.035689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b7aaee-e205-46a0-a8ff-fa651ed00cdd · inbound

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation cites this paper.

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T00:55:44.091103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.