Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.10322.
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 2026-08-03T04:35:08.031716Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:16:44.865516Z
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 c454b184-0184-4624-92c4-dbbec8f6e2c7 · inbound
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws cites this paper.
Muon in Associative Memory Learning: Training Dynamics and Scaling Laws Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:14:15.675153Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 929b7598-e582-4914-9e7b-589184c18db8 · inbound
Hierarchical Latent Structures in Data Generation Process Unify Mechanistic Phenomena across Scale cites this paper.
Hierarchical Latent Structures in Data Generation Process Unify Mechanistic Phenomena across Scale Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T04:35:08.031716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d685ddc0-19cf-46b0-b72f-413e7189bb81 · inbound
When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks cites this paper.
When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:16:44.867756Z
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.