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Paper Citation Record · LEDGER

Nonparametric semi-supervised learning of class proportions

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1601.01944.

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

pith.paper-citation-record.v1
1601.01944 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:03:47.610046Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T15:09:54.784841Z

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 b42535b1-d392-4656-9a5e-cb384ed4a5cd · inbound

Dataset Usage Inference without Shadow Models or Held-out Data cites this paper.

Dataset Usage Inference without Shadow Models or Held-out Data Nonparametric semi-supervised learning of class proportions

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-04T15:09:54.786819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T01:51:20.215114Z digest=sha256:97c726066c2e914ce1f7af63552858e4453d277c505aa45424544e41e404a2aa

Observation 2ebe65d6-e5d5-44e9-b777-16f69f3a69fb · inbound

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation cites this paper.

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation Nonparametric semi-supervised learning of class proportions

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T15:03:47.610046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:03:47.610046Z digest=sha256:aa9a99afb8165270b12eb2c3a59846f05bc1326887e3fd4077063f997e0fc2af