Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to diagnose from scratch by exploiting dependencies among labels
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1710.10501.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:17:20.180625Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:36:02.073438Z
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 1f9e7125-e2fc-4a02-988c-73a4d9d2d5fe · inbound
Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays cites this paper.
Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays Learning to diagnose from scratch by exploiting dependencies among labels
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:17:20.180625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d02c912-9fbd-4b75-b6f9-1f173e3d685c · inbound
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification cites this paper.
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification Learning to diagnose from scratch by exploiting dependencies among labels
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:46:17.346353Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2fbb56b-8f74-4216-bfe1-a7ac09934487 · inbound
CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability cites this paper.
CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability Learning to diagnose from scratch by exploiting dependencies among labels
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:31:07.931311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38825703-dc9e-4805-8a5d-79268c2dc712 · inbound
Improving Imbalanced Multi-Label Chest X-Ray Diagnosis via CBAM-Enhanced CNN Backbones cites this paper.
Improving Imbalanced Multi-Label Chest X-Ray Diagnosis via CBAM-Enhanced CNN Backbones Learning to diagnose from scratch by exploiting dependencies among labels
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:31:07.931311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0f42aa87-e256-4f34-8259-85f7051e6248 · inbound
Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis cites this paper.
Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis Learning to diagnose from scratch by exploiting dependencies among labels
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:27:00.531128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.