Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.16434.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:10:15.957259Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T15:11:43.825092Z
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 fcee0785-9ef6-47d0-b506-b3d0bd789cfc · inbound
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis cites this paper.
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:10:15.957259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef2b4855-81f5-4cf2-87ff-abea6c22f83e · inbound
Residual Feature Integration is Sufficient to Prevent Negative Transfer cites this paper.
Residual Feature Integration is Sufficient to Prevent Negative Transfer Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T15:11:43.828110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.