Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When Semantic Segmentation Meets Frequency Aliasing
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.09065.
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 2026-08-07T14:48:47.347151Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T12:05:22.442936Z
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 862d1f21-85b4-4298-9e32-084a1362b7c2 · inbound
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation cites this paper.
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation When Semantic Segmentation Meets Frequency Aliasing
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:48:47.347151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71b6c902-77fc-47be-8321-345207da9196 · inbound
FreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking cites this paper.
FreqTrack: Frequency Learning based Vision Transformer for RGB-Event Object Tracking When Semantic Segmentation Meets Frequency Aliasing
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T12:05:22.446194Z
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 7b4c1fa7-c863-4aa2-bd05-d124d4dff6a3 · inbound
To Blend In, First Decouple: Rethinking Camouflage Image Generation via Context-Decoupled Representations cites this paper.
To Blend In, First Decouple: Rethinking Camouflage Image Generation via Context-Decoupled Representations When Semantic Segmentation Meets Frequency Aliasing
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:10:45.854658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.