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Paper Citation Record · LEDGER

Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.09919.

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

pith.paper-citation-record.v1
2210.09919 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:55:43.757513Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T10:55:29.206932Z

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 18744342-7653-4e35-ba3c-4e932904dead · inbound

Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions cites this paper.

Multi-Task Label Discovery via Hierarchical Task Tokens for Partially Annotated Dense Predictions Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:55:29.213886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T10:55:28.812740Z digest=sha256:455daaabaa03eca7f339527f8bfd9b1beca049b450d6e8d39abe39a8a545ccc1

Observation cf4f0c7e-4a4a-4fdf-9054-166e3a78d297 · inbound

AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning cites this paper.

AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning Dense FixMatch: a simple semi-supervised learning method for pixel-wise prediction tasks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T23:55:43.757513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:55:43.757513Z digest=sha256:2ce18e612391587ca1d088346c2f9f624a9e7c3169c81ec040ff170ff82bff20