Paper Citation Record · LEDGER

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights

As of 13 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2509.05142.

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

pith.paper-citation-record.v1
2509.05142 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:37:33.928413Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact2
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7d92b08-cb5d-4174-9ca1-53911349c561 · outbound

This paper cites an unresolved cited work.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:37:35.123981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5632b368-3823-42a3-9e93-a35ce805544d · outbound

This paper cites A Survey on Efficient Federated Learning Methods for Foundation Model Training.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights A Survey on Efficient Federated Learning Methods for Foundation Model Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:33.928413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aad931d-4fa2-4d61-a416-b222a8ac58e8 · outbound

This paper cites an unresolved cited work.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:37:34.941852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 160441ad-cbcd-44ce-b495-4494034969da · outbound

This paper cites an unresolved cited work.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:37:34.769579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 65d8f3d6-521a-4f5c-925b-57e755820272 · outbound

This paper cites an unresolved cited work.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:37:34.582095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a40f95aa-e2ba-474c-8aeb-f84d13eb28cb · outbound

This paper cites Grounding Foundation Models through Federated Transfer Learning: A General Framework.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Grounding Foundation Models through Federated Transfer Learning: A General Framework

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:33.433083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e102b0-37e8-43bb-ae80-03bf6eac0fc0 · outbound

This paper cites Federated LoRA with Sparse Communication.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Federated LoRA with Sparse Communication

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:33.513163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1938fa36-d99e-44ab-89e6-6e015a27a856 · outbound

This paper cites Advances and Open Challenges in Federated Foundation Models.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Advances and Open Challenges in Federated Foundation Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:33.861087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 782c2bbf-eeeb-4fca-ba82-b41109e1db6c · outbound

This paper cites Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:37:34.372490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10abb42e-1024-4fcf-9b58-830555fc7623 · outbound

This paper cites FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-05T05:37:34.153328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3b6287da-7f96-4c50-9487-1b12346d764a · outbound

This paper cites Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision.

Foundational Models and Federated Learning: Survey, Taxonomy, Challenges and Practical Insights Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T05:37:32.838138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Integration of Large Language Models and Federated Learning.

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.

Pith citing papers

No inbound Pith citation observations are available.