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Paper Citation Record · LEDGER

Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.22815.

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

pith.paper-citation-record.v1
2410.22815 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:20:45.756434Z

measured 0 of 1 external citation measurements

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.

source=pdf_text observed=2026-08-09T20:20:45.756434Z digest=sha256:80622160c9ad1810b52afbaa0a5f07a1e644ff9929d3ab31b8bf106c186354ff

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.621702Z digest=sha256:79485b2616ffea7c456d2cb96499a4d3ea1e97953c3a153189441984021ef306