Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2207.10276.
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 2026-08-10T21:43:35.422423Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T05:23:58.320849Z
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 64b04bde-19f4-4e83-b4ab-35aa6272fb64 · inbound
Open set label noise learning with robust sample selection and margin-guided module cites this paper.
Open set label noise learning with robust sample selection and margin-guided module ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:43:35.422423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85bc6b5e-5767-485c-a4b5-4186da3c1eca · inbound
Predicting Formula 1 Race Outcomes: Decomposing the Roles of Drivers and Constructors through Linear Modeling cites this paper.
Predicting Formula 1 Race Outcomes: Decomposing the Roles of Drivers and Constructors through Linear Modeling ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:20:10.593164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8445c501-c2ea-4122-ac4b-9d506c00ab8e · inbound
HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels cites this paper.
HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:17:06.685275Z
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 5ddad225-35a8-44be-b10b-01acc0af07ec · inbound
Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label cites this paper.
Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:23:58.323113Z
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 7c8eb1fd-7c53-43f4-ae88-b50675371af2 · inbound
GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels cites this paper.
GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:19:39.222713Z
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.