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Paper Citation Record · LEDGER

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.12449.

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

pith.paper-citation-record.v1
2305.12449 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:30.635477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:30:51.365987Z

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 53e298db-8a64-43c2-a9ce-e34b932465e9 · inbound

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning cites this paper.

A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:30.635477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:30.635477Z digest=sha256:c3393f6552be0e95c8e522cd2328aeb5563951be71de4b7c2ad01e48e241cdf0

Observation 928985e9-1bc6-43b7-a2c2-f75be858b8a5 · inbound

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge cites this paper.

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:51.368369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T18:30:14.867025Z digest=sha256:89a1c2817fa4bcedaac792866ffd65cd6c8d578aba71dc5619073303547b4807