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Paper Citation Record · LEDGER

FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.15926.

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

pith.paper-citation-record.v1
2312.15926 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:56:37.874966Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:42:51.596793Z

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 7fdee765-3415-4d8a-8cd5-2643d44074dc · inbound

Mixture of Experts (MoE): A Big Data Perspective cites this paper.

Mixture of Experts (MoE): A Big Data Perspective FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models

Reference 183

Resolution
unresolved
no resolver link, observed 2026-08-10T18:56:37.874966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:56:37.874966Z digest=sha256:6cf5c85fdedc3705191925fb36eebf79619a0c55373b371375f55efea4914c3a

Observation dc32e377-483d-4672-bf56-c5555145ea95 · inbound

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models cites this paper.

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:42:51.644386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:42:50.501342Z digest=sha256:2be27d6837157f004eb1c05c003a1096e9d8768f5e4f01728a8e1d206808a255