Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.19261.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:48:49.116497Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T15:59:56.364296Z
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 d210d09d-bd03-4756-84ab-8877e7587d6b · inbound
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks cites this paper.
Scaling Collapse Reveals Universal Dynamics in Compute-Optimally Trained Neural Networks High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:48:49.116497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7212db3-57d9-442c-9bcb-7aad474c666a · inbound
Large Spikes in Stochastic Gradient Descent: A Large-Deviations View cites this paper.
Large Spikes in Stochastic Gradient Descent: A Large-Deviations View High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:30:51.087424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9b253682-df68-46ee-8891-15db789df791 · inbound
Momentum Further Constrains Sharpness at the Edge of Stochastic Stability cites this paper.
Momentum Further Constrains Sharpness at the Edge of Stochastic Stability High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:20:26.339993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7388fe7e-3989-4d31-8354-d91033008540 · inbound
A Fast-Convergence Resolution of the Stochastic Eigenproblem Using Halley's Method and the Spectral-Chaos Approach cites this paper.
A Fast-Convergence Resolution of the Stochastic Eigenproblem Using Halley's Method and the Spectral-Chaos Approach High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T15:59:56.366021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7428a34f-4b0e-4694-9dce-baadea88429d · inbound
The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System cites this paper.
The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T10:24:00.719150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.