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Paper Citation Record · LEDGER

Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2301.04465.

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

pith.paper-citation-record.v1
2301.04465 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:41:46.963824Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:28:55.438105Z

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 6e84f93a-b372-4ff7-84aa-286ed643f83d · inbound

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation cites this paper.

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T23:41:46.963824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:41:46.963824Z digest=sha256:3f8eb106bb0d34d951c348058a85c7b6f82e54cee628c5b1d072d0d5df19d219

Observation 9aa517df-6a5b-4401-ba3f-07f96252747b · inbound

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation cites this paper.

Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T12:54:14.199319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:54:14.199319Z digest=sha256:dc46f54611fea61e6f635b536ada03aea62e4ad42093131f8bc756ac3580b135

Observation 50a51ff0-f0c0-454a-b8cf-83577191e1f5 · inbound

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation cites this paper.

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:31:29.972183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:31:29.972183Z digest=sha256:1dad17ec176b3f22bf2b0c8b6d4671b898cff4e868ae55816d05a18015202f29

Observation 9d1c53ec-8dcd-4c79-b0da-a4beeb1e5bed · inbound

UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation cites this paper.

UniSemAlign: Text-Prototype Alignment with a Foundation Encoder for Semi-Supervised Histopathology Segmentation Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:20:57.908357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:14:00.689520Z digest=sha256:cb71cd2e55759dc40b0936b8c4ff43f3b0ba8c29be25487ec70192b5102caf2f

Observation 3b5e44e5-5183-4670-860b-92a43370a032 · inbound

Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation cites this paper.

Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:28:55.439387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T01:22:05.399683Z digest=sha256:6d056f0164771e7dfdea31bcfa82b3365864bc2cfc21f743d7b665ce7963d473