Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mitigating Memorization of Noisy Labels via Regularization between Representations
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.09022.
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 2026-08-15T16:57:25.678375Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T17:08:01.293062Z
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 72d32688-cfc4-4ab2-b591-01a4f907879f · inbound
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise cites this paper.
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Mitigating Memorization of Noisy Labels via Regularization between Representations
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:46:05.882249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2cdd10d8-b597-4eb1-b3ef-829df7c52d4b · inbound
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction cites this paper.
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction Mitigating Memorization of Noisy Labels via Regularization between Representations
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:57:25.678375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2964a85a-031d-4a01-b6ca-7e76b8f9f41f · inbound
Can LLMs Learn to Reason Robustly under Noisy Supervision? cites this paper.
Can LLMs Learn to Reason Robustly under Noisy Supervision? Mitigating Memorization of Noisy Labels via Regularization between Representations
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:08:01.294826Z
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.