Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey of Semantic Segmentation
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1602.06541.
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 2026-08-14T15:46:42.851228Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:25:33.722299Z
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 27727b5c-7784-4208-aa2a-e660e2e5ae03 · inbound
Toward quantitative fractography using convolutional neural networks cites this paper.
Toward quantitative fractography using convolutional neural networks A Survey of Semantic Segmentation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:46:42.851228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd828284-f833-4898-8ed1-c6bb86906513 · inbound
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation cites this paper.
A Novel Convolutional-Free Method for 3D Medical Imaging Segmentation A Survey of Semantic Segmentation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:33:21.515240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94c23f3b-fc03-4b4d-aaa7-3abba4fc9f07 · inbound
From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images cites this paper.
From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images A Survey of Semantic Segmentation
Reference 9
- Resolution
- malformed identifier
- local_arxiv, observed 2026-08-06T20:25:33.811259Z
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.