Pith. sign in

Paper Citation Record · LEDGER

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.01248.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1903.01248 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:17:41.158128Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T18:43:18.332072Z

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 ddf69273-c016-4301-8710-eeae8604a84d · inbound

More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation cites this paper.

More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T12:17:41.158128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:17:41.158128Z digest=sha256:50bb8d17be5faf585daf91afd3644eab53476d130a048088611961eee5f72866

Observation cdccbb55-4566-4f86-83d0-d1c1bef720a6 · inbound

Semi-supervised learning and integration of multi-sequence MR-images for carotid vessel wall and plaque segmentation cites this paper.

Semi-supervised learning and integration of multi-sequence MR-images for carotid vessel wall and plaque segmentation Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:43:18.445893Z

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.

source=pdf_text observed=2026-08-06T18:43:10.924172Z digest=sha256:edfe57bdc07ea0114d5a662c900d5db695146b79d4c28b17b6afd1caa1e7f090