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Paper Citation Record · LEDGER

Low-Parameter Federated Learning with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.13896.

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

pith.paper-citation-record.v1
2307.13896 v1

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:20.824321Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:20:59.737521Z

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 d0231e11-4cc1-4c7c-9d09-9a4fd678875c · inbound

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation cites this paper.

FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation Low-Parameter Federated Learning with Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:20.824321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:36:20.824321Z digest=sha256:7defc24161cc277c8716c450fc2261ae8fd64204e2e5f238f84f3fc0c5bbeb69

Observation eada7234-5406-4034-aa7c-e0c7ee34e522 · inbound

A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication cites this paper.

A New Pathway to Integrated Learning and Communication (ILAC): Large AI Model and Hyperdimensional Computing for Communication Low-Parameter Federated Learning with Large Language Models

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:20:59.824814Z

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.

source=pdf_text observed=2026-08-06T23:20:52.726453Z digest=sha256:9cc3bafdc4b0902b9209f9202c084f7b6692cd935363540bce91350d6bb63d38