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Paper Citation Record · LEDGER

FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.13686.

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

pith.paper-citation-record.v1
2210.13686 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:43:57.368096Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:02.109733Z

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 cf9a4124-1adc-479c-a60e-3882924f365c · inbound

Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation cites this paper.

Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T04:43:57.368096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:43:57.368096Z digest=sha256:995e4d341018dabca67cec94d2b78ba01f723431ce541e21a63d5c56e3c07ffb

Observation b7dd6b73-af62-4c46-bbed-ec344beebbc7 · inbound

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks cites this paper.

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:02.111385Z

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.

source=pdf_text observed=2026-06-29T23:04:43.841278Z digest=sha256:3cded147c91e89b7732d33cd4441663d34cfc831bd7f0adfc86691dd15516e79