Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.17087.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:47:10.657401Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:29:44.310723Z
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 f618102a-2c59-47df-bf8d-7fe0006510e4 · inbound
Accelerating Proximal Gradient Descent via Silver Stepsizes cites this paper.
Accelerating Proximal Gradient Descent via Silver Stepsizes Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:47:10.657401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 760370c7-c22e-4d3b-a6eb-91ffca46d8d3 · inbound
SGD at the Edge of Stability: The Stochastic Sharpness Gap cites this paper.
SGD at the Edge of Stability: The Stochastic Sharpness Gap Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:59:49.384394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 31244b89-3869-44a4-9fb1-fa7d0deabddb · inbound
Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime cites this paper.
Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T10:29:44.312429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.