Paper Citation Record · LEDGER

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.06954.

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

pith.paper-citation-record.v1
2402.06954 v1

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:39.866892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:16:58.659462Z

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 75106132-aa4e-4e90-aa8d-1a909d005b09 · inbound

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning cites this paper.

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:39.866892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c769a60-2edf-424c-b7a5-cc7ed3284d95 · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 139

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.477757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0eb8d7b-9668-41ee-84cb-05f86450ea99 · inbound

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design cites this paper.

FedChip: Federated LLM for Artificial Intelligence Accelerator Chip Design OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T14:49:56.649208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec72bcf6-e594-4f61-8a25-667f6c9509a5 · inbound

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices cites this paper.

PI-TTA: Physics-Informed Source-Free Test-Time Adaptation for Robust Human Activity Recognition on Mobile Devices OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:25.921909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e5fc5bb-6f22-47ef-9b76-45e7b2f7c20a · inbound

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries cites this paper.

Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:06:23.660604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9bd4657-022e-4c4c-9925-fb5b75c423ab · inbound

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models cites this paper.

Amortizing Federated Adaptation: Hypernetwork Driven LoRA for Personalized Foundation Models OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:16:58.661277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.