Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.22815.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:30.554435Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T05:47:56.953327Z
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 8f738061-a7c3-43bf-9e34-6c17fcf4d466 · inbound
Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs cites this paper.
Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:20:45.756434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92001c69-c05c-4d15-94aa-4a0ead19b07a · 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 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:16:30.554435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b74397d3-6cb8-49b5-bb40-6ec54faa6a7c · inbound
Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning cites this paper.
Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T05:47:56.959254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.