Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.10836.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:13.339128Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:56:01.644250Z
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 71e2c0ca-ef6c-4b9c-99c0-a854788cdc98 · inbound
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing cites this paper.
Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:32:13.339128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc6b9d1b-277a-4708-9c8f-73a7cb4f0847 · inbound
Optimising Language Models for Downstream Tasks: A Post-Training Perspective cites this paper.
Optimising Language Models for Downstream Tasks: A Post-Training Perspective PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:44:43.955463Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e95efb55-619c-497e-b031-0034e42e108b · inbound
Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise cites this paper.
Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:56:01.646476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.