Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Robust Loss Functions under Label Noise for Deep Neural Networks
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1712.09482.
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 2026-08-05T15:27:12.830564Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-05-24T10:59:21.514213Z
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 110a5703-ba7a-499c-b345-083d0c1d2a56 · inbound
Universal hidden monotonic trend estimation with contrastive learning cites this paper.
Universal hidden monotonic trend estimation with contrastive learning Robust Loss Functions under Label Noise for Deep Neural Networks
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T10:59:21.517572Z
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 6a591ce6-1c8f-4f10-a830-2e9505b1ca95 · inbound
Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees cites this paper.
Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees Robust Loss Functions under Label Noise for Deep Neural Networks
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T18:53:21.380081Z
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 a0f5775c-08c6-4a22-bea6-98a34cb01ccc · inbound
Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation cites this paper.
Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation Robust Loss Functions under Label Noise for Deep Neural Networks
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:27:12.830564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.