Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Online Learning of Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.09167.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:32:00.280739Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:56:03.893675Z
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 400b9ef6-9c70-4f0f-8ff6-31cbb1dd5e43 · inbound
The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models cites this paper.
The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models Online Learning of Neural Networks
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:32:00.280739Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 194fbfcc-2b9f-4d96-8f68-8e83692f730e · inbound
Mistake-bounded online learning with operation caps cites this paper.
Mistake-bounded online learning with operation caps Online Learning of Neural Networks
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:46:17.915864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c5e447f-35dd-4ea8-b7e5-6a057e42fdee · inbound
Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End cites this paper.
Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End Online Learning of Neural Networks
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:56:03.902988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.