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Paper Citation Record · LEDGER

Dual Personalization on Federated Recommendation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.08143.

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

pith.paper-citation-record.v1
2301.08143 v2

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 2026-08-12T04:43:57.548969Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T02:37:07.776551Z

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 b32e7640-c62c-477b-aaaa-2ec9f214dee9 · 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 Dual Personalization on Federated Recommendation

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T04:43:57.548969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:43:57.548969Z digest=sha256:5f1e6d3940bd0ab378ba988faad833c6cc8df2c08a3b0d6e64d7c73a6a47f4fd

Observation 701d664e-71cb-4e5d-833d-ce487e1c8410 · inbound

FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction cites this paper.

FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction Dual Personalization on Federated Recommendation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:37:07.778762Z

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=2026-05-13T02:36:56.615476Z digest=sha256:2a68761c1671c1b26c9d4e08a95573538ad00c835c10bc87eaa95fe90c0ba81b