Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1707.03718.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:34:00.772557Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:18:32.130465Z
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 d54fb1b5-fbeb-4299-b3a8-2337b3c77b53 · inbound
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio cites this paper.
Bayesian Feature Pyramid Networks for Automatic Multi-Label Segmentation of Chest X-rays and Assessment of Cardio-Thoratic Ratio LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:34:00.772557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce8588fa-de8e-4e5b-b187-8b15ffb82bdc · inbound
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images cites this paper.
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:33:01.152245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5d807c3-e168-442a-b108-3cb159c31327 · inbound
De-Fake: Style based Anomaly Deepfake Detection cites this paper.
De-Fake: Style based Anomaly Deepfake Detection LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-06T20:18:32.194014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.