Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.01493.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:46:18.273105Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:47:26.357439Z
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 68b478e1-24e2-4ef4-a841-17548defcaf0 · inbound
Generalized Euler Logarithm and its Applications in Machine Learning: Natural Gradient, Backpropagation, Generalized EG, Mirror Descent and OLPS cites this paper.
Generalized Euler Logarithm and its Applications in Machine Learning: Natural Gradient, Backpropagation, Generalized EG, Mirror Descent and OLPS Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:47:26.360192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cc8b058f-ca09-4115-b138-27760f7581f5 · inbound
Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms cites this paper.
Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:46:18.273105Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77bc1e6f-bf57-4d68-9074-8f8b6dd52985 · inbound
Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning cites this paper.
Implicit Bias of Mirror Flow in Homogeneous Neural Networks: Sparse and Dense Feature Learning Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:18:06.880103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.