Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.04443.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:31.567393Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:44:37.134566Z
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 2ad4b197-bfdd-4bbc-a1e4-8dadf5f16e8c · inbound
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets cites this paper.
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:01:31.567393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 359055e9-7d7e-4e1c-942f-42b42dc47937 · inbound
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation cites this paper.
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:44:37.189567Z
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.