Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Rademacher Complexity of Linear Hypothesis Sets
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.11045.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:51:22.690856Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:21:45.614872Z
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 ad96ca48-d96a-4232-a518-ba69cc18d519 · inbound
One-Step Early Stopping Strategy using Neural Tangent Kernel Theory and Rademacher Complexity cites this paper.
One-Step Early Stopping Strategy using Neural Tangent Kernel Theory and Rademacher Complexity On the Rademacher Complexity of Linear Hypothesis Sets
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:59:06.323609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 574c44fe-a603-4e54-88a9-6cd282d6e5fc · inbound
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel cites this paper.
Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel On the Rademacher Complexity of Linear Hypothesis Sets
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:21:45.620543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b2f28b6e-63aa-4b2b-9f88-0f0b68ba6be8 · inbound
Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression cites this paper.
Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression On the Rademacher Complexity of Linear Hypothesis Sets
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:51:22.690856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.