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Paper Citation Record · LEDGER

Worldwide Federated Training of Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.14446.

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

pith.paper-citation-record.v1
2405.14446 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:29:42.046004Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:27:59.617607Z

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 409e7449-871d-41bf-9caf-1c1701119427 · inbound

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation cites this paper.

NoEsis: Differentially Private Knowledge Transfer in Modular LLM Adaptation Worldwide Federated Training of Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T10:29:42.046004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:29:42.046004Z digest=sha256:b87b95e47483993df2227251147eafc03e8958ded4352f8c2d0b8b50873652ae

Observation d4e143f7-3762-4c47-82c6-3a184750172d · inbound

Task-Centric Personalized Federated Fine-Tuning of Language Models cites this paper.

Task-Centric Personalized Federated Fine-Tuning of Language Models Worldwide Federated Training of Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:27:59.620021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T21:26:17.264779Z digest=sha256:49c04b5453bad5deedb2e5553ffddfa28c9349ed649a56b5dda032b7a2ed4a8d