Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.02075.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:56:03.693316Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T17:56:04.487648Z
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 91aa0fcc-e747-47cc-8e27-ac5d7377d437 · inbound
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges cites this paper.
Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:56:04.491236Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a946b138-0373-4f0b-908f-b9c87a53a164 · inbound
Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA cites this paper.
Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA Label Anything: Multi-Class Few-Shot Semantic Segmentation with Visual Prompts
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:09:57.031283Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.