Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.00363.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:33:26.081810Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:46:11.517800Z
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 7940c953-1362-4733-a7b3-34bfaf27dd38 · inbound
SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network cites this paper.
SplitLLM: Hierarchical Split Learning for Large Language Model over Wireless Network FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:18:35.829057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db65e06d-2337-4851-9b2a-f8f0f7354c75 · inbound
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach cites this paper.
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:33:26.081810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2e5fb40-0910-41f1-bbb7-89f039cefb58 · inbound
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T00:46:11.522750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.