Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Structured Consistency Loss for semi-supervised semantic segmentation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2001.04647.
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 2026-08-12T04:42:44.292326Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:09:19.726073Z
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 697ea9bb-1f00-4592-ad07-f67c8d872d8e · inbound
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation cites this paper.
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation Structured Consistency Loss for semi-supervised semantic segmentation
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:28:46.467744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bce203aa-ed4c-45f7-8081-c6ef84b86c7c · inbound
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation cites this paper.
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation Structured Consistency Loss for semi-supervised semantic segmentation
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T15:09:19.827873Z
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.
Observation ef9f72a9-08fd-4f13-bfc5-c8977fc602eb · inbound
How to Verify Consistency of Probabilistic Claims cites this paper.
How to Verify Consistency of Probabilistic Claims Structured Consistency Loss for semi-supervised semantic segmentation
Reference 1992
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:42:44.292326Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.