Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Image Segmentation Using Deep Learning: A Survey
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2001.05566.
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 2026-08-16T10:09:40.867199Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T12:57:44.082664Z
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 ff22110f-4d4d-4837-abdb-d5fe591c3ae7 · inbound
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration cites this paper.
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration Image Segmentation Using Deep Learning: A Survey
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:57:44.087711Z
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 b1ed1f29-4f33-4fbc-b4c5-5bfb6a4d8e41 · inbound
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving cites this paper.
Federated Learning-based Semantic Segmentation for Lane and Object Detection in Autonomous Driving Image Segmentation Using Deep Learning: A Survey
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:09:40.867199Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a10e28d-d625-4533-8d3d-46e1c0ace081 · inbound
Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving cites this paper.
Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving Image Segmentation Using Deep Learning: A Survey
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T06:07:06.605896Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c53f2d46-84fd-43d9-b3c0-8e6ea73f98b8 · inbound
Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation cites this paper.
Causal Prompt Calibration Guided Segment Anything Model for Open-Vocabulary Multi-Entity Segmentation Image Segmentation Using Deep Learning: A Survey
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:45:19.785371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1530ef7-baaa-47fe-90e6-b90596d29e43 · inbound
ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation cites this paper.
ProBAG: Prototype-Guided Boundary-Aware Graph Diffusion for Weakly Supervised Histopathology Segmentation Image Segmentation Using Deep Learning: A Survey
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:31:15.404271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.