Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.02025.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T06:07:06.555186Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:08:40.566960Z
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 d1f235c3-82ad-433f-b1ac-aaa1c23803fa · inbound
Segmentation of arbitrary features in very high resolution remote sensing imagery cites this paper.
Segmentation of arbitrary features in very high resolution remote sensing imagery GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:55:15.367338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dcd9fac-9fcc-4249-83df-ea822c36b122 · inbound
A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation cites this paper.
A Novel Scene Coupling Semantic Mask Network for Remote Sensing Image Segmentation GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:08:40.616265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8b376cb1-8689-407d-aa47-354e2e295e1a · inbound
Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving cites this paper.
Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T06:07:06.555186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.