Pith. sign in

Paper Citation Record · LEDGER

Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.01226.

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

pith.paper-citation-record.v1
2106.01226 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:45:42.840385Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

61
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7055004d-51d3-4874-a3fe-4fcceb75f44a · inbound

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training cites this paper.

SuperCL: Superpixel Guided Contrastive Learning for Medical Image Segmentation Pre-training Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:45:42.840385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:45:42.840385Z digest=sha256:ab480beb539f492ac16475d42e3cf6977627574564abe03fc9a254fb0ac43a25

Observation 1bd94069-97fc-4ef0-b4f1-b44d61a9e04b · inbound

TopoPult-SSL: Gland-Mask-Free Cross-Device Meibomian Gland Segmentation via Self-Distilled Weak Clinical Priors cites this paper.

TopoPult-SSL: Gland-Mask-Free Cross-Device Meibomian Gland Segmentation via Self-Distilled Weak Clinical Priors Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T06:21:42.966984Z

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.

source=pdf_text observed=2026-06-28T06:12:45.531363Z digest=sha256:afb3c4ea3213853f1439d8f59dbb48029e9d9fbab21b4a5ecae81e0ff325d352

Observation 8b313c65-923f-4e13-99eb-3bd7f8deabc7 · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:14:26.230639Z

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.

source=pdf_text observed=2026-06-30T06:09:54.742202Z digest=sha256:3ada8a06e5d4813d6c6a4a94e2431864a726e1c6f48dd8cdbeab2612b0a05513

Observation 69b13108-d085-45be-8d27-bbdfc7723e8c · inbound

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms cites this paper.

APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Reference 231

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:45:29.591739Z

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.

source=pdf_text observed=2026-07-01T06:38:06.306930Z digest=sha256:d106d79d6209bd7c9a2ad791630dc3fc2be1d2cc7c8720a98b2c7ae771f34629