Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep multi-class learning from label proportions
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1905.12909.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:16:11.147997Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T17:49:50.809787Z
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 00e8b16a-91fd-4e10-bf75-c13cfe7b6740 · inbound
Learning from Label Proportions with Generative Adversarial Networks cites this paper.
Learning from Label Proportions with Generative Adversarial Networks Deep multi-class learning from label proportions
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:06:30.873377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59325ffd-5ad2-4374-8241-b69fdaca834c · inbound
Learning from Label Proportions and Covariate-shifted Instances cites this paper.
Learning from Label Proportions and Covariate-shifted Instances Deep multi-class learning from label proportions
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T17:49:50.815689Z
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.
Observation 49f13a7d-0362-4ff7-b6ef-9895ebbaf3d5 · inbound
Nearly Optimal Sample Complexity for Learning with Label Proportions cites this paper.
Nearly Optimal Sample Complexity for Learning with Label Proportions Deep multi-class learning from label proportions
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:16:11.147997Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.