Paper Citation Record · LEDGER

FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.09432.

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

pith.paper-citation-record.v1
2410.09432 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:30.739127Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T08:16:05.700393Z

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 5c711a9b-b2e1-4c50-968d-06a9fe58b26c · 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 FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:30.739127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbe73288-556f-46d2-ac95-56c18c59556c · inbound

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models cites this paper.

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T00:46:32.612912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87fb94dd-b584-4db1-be5b-04f0020b1ec4 · inbound

Collaborative and Efficient Fine-tuning: Leveraging Task Similarity cites this paper.

Collaborative and Efficient Fine-tuning: Leveraging Task Similarity FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-03T03:49:40.240038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481c4474-ebe4-4745-b404-57b50437f588 · inbound

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning cites this paper.

Adaptive Selection of LoRA Components in Privacy-Preserving Federated Learning FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:09.246904Z

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.

Observation b100f2cf-d859-4b2f-9011-0c19111bbb4f · inbound

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation cites this paper.

FedMark-FM: Auditable, Risk-Adjusted Data Markets for Federated Foundation-Model Adaptation FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-09T08:16:05.703097Z

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.

Observation e4348d85-7a35-498d-8489-5bf5b2cb5934 · inbound

SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks cites this paper.

SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Foundation Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:49.066405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.