Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.09195.
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 2026-08-09T16:13:53.440621Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T19:43:23.459706Z
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 444a13fb-a580-44f1-a7a4-62fed69065f9 · inbound
On Efficient Variants of Segment Anything Model: A Survey cites this paper.
On Efficient Variants of Segment Anything Model: A Survey SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration
Reference 129
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:43:23.462786Z
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.
Observation a183470b-ff48-4c84-923c-dbc08d1f3442 · inbound
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models cites this paper.
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:13:53.440621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eeaf33d0-c7d0-455f-aa1b-c9c65561e986 · inbound
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework cites this paper.
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework SAM-Lightening: A Lightweight Segment Anything Model with Dilated Flash Attention to Achieve 30 times Acceleration
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:19:10.166195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.