Paper Citation Record · LEDGER

Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.13097.

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

pith.paper-citation-record.v1
2410.13097 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:27:27.647038Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T14:26:49.238748Z

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 7166bdd0-38b8-4c97-aabb-f6fee44d894e · inbound

Leveraging Large Language Models and Topic Modeling for Toxicity Classification cites this paper.

Leveraging Large Language Models and Topic Modeling for Toxicity Classification Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T11:46:37.171631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30afea2-c4a5-412b-a2fc-2176033e1ee2 · inbound

Decentralized Low-Rank Fine-Tuning of Large Language Models cites this paper.

Decentralized Low-Rank Fine-Tuning of Large Language Models Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:26:49.246403Z

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 ede50525-0104-4a1c-a41b-ff2da94d2483 · inbound

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE cites this paper.

FLAME: Towards Federated Fine-Tuning Large Language Models Through Adaptive SMoE Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:27:27.647038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc0e0da-3b62-435e-926b-10d2c3d0fd7f · 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 Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:48.806033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.