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Paper Citation Record · LEDGER

Integration of Large Language Models and Federated Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.08925.

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

pith.paper-citation-record.v1
2307.08925 v3

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:37:32.921161Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T11:17:08.794396Z

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 0da7af59-2ed3-4463-9403-3cf54356e781 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Integration of Large Language Models and Federated Learning

Reference 280

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.797282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:f5cd3d21abf70b8abd2f86b1fd38ac0783a63bda0eee63a2eadaf835eababa6b

Observation 9a75f47d-2dce-4c13-bade-5edb2642af54 · inbound

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights cites this paper.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Integration of Large Language Models and Federated Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T05:37:32.921161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:37:32.921161Z digest=sha256:bcf952582bc489a6ee87d3b94863b15126d3f0bf1b44949cca21dfd06db7afad