Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2002.03495.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:38:49.975072Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:47:10.361461Z
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 b3196e76-1da8-4d26-a43d-1c8e6edc023b · inbound
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling cites this paper.
Seesaw: Accelerating Training by Balancing Learning Rate and Batch Size Scheduling A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:38:49.975072Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a73c2707-3f8c-4199-a448-fc8893299004 · inbound
Dimension-Free Saddle-Point Escape in Muon cites this paper.
Dimension-Free Saddle-Point Escape in Muon A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:01:26.388383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 16e5f64e-e377-4fe1-9fde-d22be7d914d5 · inbound
Thermodynamic Irreversibility of Training Algorithms cites this paper.
Thermodynamic Irreversibility of Training Algorithms A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T04:41:04.270581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 01460dae-6bd1-42a3-be76-26a25132f30a · inbound
Second-Order Path Kernel Interpolation Formulas in Machine Learning cites this paper.
Second-Order Path Kernel Interpolation Formulas in Machine Learning A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Reference 116
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T16:47:10.362665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c45f49d2-bdb6-4bdd-a42e-b6bafb9d8c7e · inbound
SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates cites this paper.
SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Reference 199
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T13:05:45.536954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.