Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.08345.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:38:03.464856Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T10:37:15.121693Z
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 414801b4-1b33-4a8e-aa52-01cc86835035 · inbound
Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.
Parameter-Efficient Fine-Tuning for Foundation Models 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Reference 198
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:38:03.464856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f853e7d2-ded4-45b9-bc21-be75e1a55a5f · inbound
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation cites this paper.
GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:17:59.404572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a74ac488-29a3-4207-8431-7f4cf383607d · inbound
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis cites this paper.
Adapting Vision-Language Foundation Model for Next Generation Medical Ultrasound Image Analysis 5%>100%: Breaking Performance Shackles of Full Fine-Tuning on Visual Recognition Tasks
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:37:15.123356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.