Paper Citation Record · LEDGER

FwdLLM: Efficient FedLLM using Forward Gradient

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.13894.

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

pith.paper-citation-record.v1
2308.13894 v2

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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:24.765210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:30:51.339210Z

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 f3d3e325-e6e6-4b33-a7f5-d09e03963968 · inbound

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices cites this paper.

Adaptive Parameter-Efficient Federated Fine-Tuning on Heterogeneous Devices FwdLLM: Efficient FedLLM using Forward Gradient

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T23:46:33.054773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc12c04e-8ea8-4f99-b7ad-e76867acc726 · inbound

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges cites this paper.

A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges FwdLLM: Efficient FedLLM using Forward Gradient

Reference 162

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:24.765210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ce4cb5f-150c-4d59-95f9-54b575deff5e · inbound

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications cites this paper.

From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications FwdLLM: Efficient FedLLM using Forward Gradient

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-07T13:13:56.844214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9255eb-86e3-48bb-b4ac-837cfcfbb678 · inbound

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model cites this paper.

GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model FwdLLM: Efficient FedLLM using Forward Gradient

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T18:41:26.324825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73ca33f4-6d75-44aa-99c9-5f5938615464 · inbound

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions cites this paper.

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions FwdLLM: Efficient FedLLM using Forward Gradient

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-05T15:41:01.017935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25ce2e6f-ac24-42a2-b0af-d6de53413890 · inbound

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge cites this paper.

Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge FwdLLM: Efficient FedLLM using Forward Gradient

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:30:51.345021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.