Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.11618.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:40:50.275541Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T06:04:35.221860Z
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 32f36dd3-e0ea-4752-8df9-3489cb9f4267 · inbound
Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization cites this paper.
Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided Customization Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:40:50.275541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fa8705f-0978-48b5-abdf-b4c4447fbd03 · inbound
WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop cites this paper.
WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T06:04:35.227471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e5a8596-7cdb-468f-b855-8e97b64d13e0 · inbound
Wound3DAssist: A Practical Framework for 3D Wound Assessment cites this paper.
Wound3DAssist: A Practical Framework for 3D Wound Assessment Translating Clinical Delineation of Diabetic Foot Ulcers into Machine Interpretable Segmentation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:08:15.764904Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.