Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2406.05130.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:34.899831Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:24:35.622839Z
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 27c369c9-4996-4972-832e-695793fe7308 · inbound
Research on Driving Scenario Technology Based on Multimodal Large Lauguage Model Optimization cites this paper.
Research on Driving Scenario Technology Based on Multimodal Large Lauguage Model Optimization An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:24:35.709502Z
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.