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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:46:37.171631Z

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.

source=pdf_text observed=2026-08-12T11:46:37.171631Z digest=sha256:e60fc73843ab410ca352662a9c244d0ec330e99e001205d81b187e21d8580a96

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T14:26:47.945834Z digest=sha256:5881b09f31facd4e983d26467a7cc46a473f7610830ae4409d3834b85a695148