Paper Citation Record · LEDGER

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2508.18663.

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

pith.paper-citation-record.v1
2508.18663 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:22:25.583269Z

measured 43 of 43 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:29:03.234211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:49:44.425417Z

Reference resolution

41 of 41 outbound references displayed

verified exact2
verified fuzzy7
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c774c6b6-66aa-4c63-ad25-4cd49238625d · outbound

This paper cites , " * write output.state after.block = add.period write newline.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.370442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31915552-a4b9-4456-a22d-9d88b3b3d91f · outbound

This paper cites write newline.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.376117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238e4225-0935-4437-bc94-47db97f9ce79 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.312571Z

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 e0d5e685-6c9e-4a4e-81c4-aab92c0784d2 · outbound

This paper cites Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:22:25.747326Z

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 ab0ed24a-d37e-42ed-a734-01786517ac25 · outbound

This paper cites X.; and Xu, M.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge X.; and Xu, M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:22:26.295258Z

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 792d9617-3b4b-494d-b41c-9fa1cef38bc8 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.275432Z

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 13cb8eb2-2951-40f5-99a1-3af6ab6ef283 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.255931Z

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 568312da-4501-4183-9090-1d88fbb90b90 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.239120Z

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 cd58f7a6-7d79-41a2-bd6e-166b9a9e903a · outbound

This paper cites Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.418475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceeac16c-a177-408b-b455-c5e0590730c7 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.424730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07bc5713-0f55-490b-a425-238384592d25 · outbound

This paper cites G.; and Goldstein, T.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge G.; and Goldstein, T

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:22:26.208597Z

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 bbfdd448-49ec-422a-96b8-e6dbe5b93757 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.189564Z

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 1b76d721-b10f-47d9-a92b-e13ecabcfed3 · outbound

This paper cites J.; yelong shen; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge J.; yelong shen; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:22:26.172054Z

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 ce49f988-2075-4a24-b4a1-a6b8283b8947 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.153925Z

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 cbef3a7f-c6c2-44a7-b34f-db56cd5d7139 · outbound

This paper cites B.; Avent, B.; Bellet, A.; Bennis, M.; Bhagoji, A.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge B.; Avent, B.; Bellet, A.; Bennis, M.; Bhagoji, A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:22:26.136200Z

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 f5a378d7-9d77-449e-bdbe-739ef60a7bff · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.117401Z

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 9fa7398f-3b77-4206-84f2-21d2f6d7868f · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.100804Z

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 26566256-e179-42ae-a809-5bc3d060fa88 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.083018Z

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 c8e21d53-fa6d-4e5a-9db4-c6ac92ae16dc · outbound

This paper cites Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T16:22:25.703254Z

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 89c28913-22c7-4fef-8d13-344e92ef65cd · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.065797Z

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 66c642d7-1089-4797-a0a6-f77d7fc6e08f · outbound

This paper cites FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.483701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa3a1092-0954-4e85-a58b-6f398cb810b4 · outbound

This paper cites K.; Jonnalagadda, A.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge K.; Jonnalagadda, A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:22:26.048018Z

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 64d21c20-29aa-459b-b7b8-90d4eb5d7736 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.029087Z

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 f7eef584-1da0-4299-a807-e5d99202b3f2 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:26.003149Z

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 71abbc87-b442-455b-bf3b-c7c1a9b53ed0 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.504764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae414031-2a40-400a-8591-5a39e89030a4 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.971355Z

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 49c03f7c-cbc7-46e5-b151-99d93cb39389 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.955528Z

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 3765bc65-ac7d-4b75-8293-899abc884a9b · outbound

This paper cites H.; and Pham, V.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge H.; and Pham, V

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:22:25.938836Z

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 5691ae14-8cd8-4cac-887a-102267721cde · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.919811Z

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 33b8518d-da2f-447d-a858-356dd09d21fd · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.902965Z

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 093a9f81-8683-4e1b-99bf-e02c5beb27d0 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.886911Z

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 2f3d38ee-a558-4ccb-b7e9-40d4391afc26 · outbound

This paper cites FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.538325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be730c2f-2d52-454d-ad5b-17a377dd6e3a · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.870688Z

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 15e700d4-e4e0-4846-93d3-38fd702f1e52 · outbound

This paper cites FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge FedMoE-DA: Federated Mixture of Experts via Domain Aware Fine-grained Aggregation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.548290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2e49c8-db44-4c50-93a5-8bdbec7997b6 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.854888Z

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 e88f9537-4fee-486e-a007-f201d0ed2627 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.837908Z

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 d5ccaac9-237d-422e-bf55-b4db6ab09198 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.820726Z

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 3cd456ab-afb0-49f8-9590-f544e98381a0 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.804657Z

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 f1596c53-921a-4b73-95b0-c567aa4af1ee · outbound

This paper cites A Survey of Large Language Models.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge A Survey of Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T16:22:25.573331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fce0adf-c42b-4565-a7d7-142becf0c521 · outbound

This paper cites M.; Chen, z.; Le, Q.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge M.; Chen, z.; Le, Q

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:22:25.785641Z

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 c97ff0c6-d97a-4ad1-b0f6-00438566c029 · outbound

This paper cites an unresolved cited work.

FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T16:22:25.765971Z

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.

Pith citing papers

Observation 4048f409-845f-49f5-b452-5a8b11168b3e · inbound

Enhancing Cross-Problem Vehicle Routing via Federated Learning cites this paper.

Enhancing Cross-Problem Vehicle Routing via Federated Learning FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:02.383975Z

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 ce84f098-2229-45e3-ae9b-e756142a298f · inbound

Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning cites this paper.

Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning FFT-MoE: Efficient Federated Fine-Tuning for Foundation Models via Large-scale Sparse MoE under Heterogeneous Edge

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:49:44.427045Z

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.