Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1605.01368.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:01:39.298514Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:29:11.554275Z
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 b2f82444-a42d-4eb3-8dca-8ec0101f241e · inbound
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation cites this paper.
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:27:09.217687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb90af17-309b-4cb7-ad7b-4502baef1c0f · inbound
CmFNet: Cross-modal Fusion Network for Weakly-supervised Segmentation of Medical Images cites this paper.
CmFNet: Cross-modal Fusion Network for Weakly-supervised Segmentation of Medical Images Unsupervised Total Variation Loss for Semi-supervised Deep Learning of Semantic Segmentation
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:29:11.744752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.