Paper Citation Record · LEDGER

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1908.10920.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.10920 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:54:04.101121Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T19:29:00.360864Z

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 82a8f10a-258d-4905-98e3-5e7a231f6fac · inbound

A Statistical Framework for Model Selection in LSTM Networks cites this paper.

A Statistical Framework for Model Selection in LSTM Networks Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:04.101121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3ed359-a1eb-4584-b0f0-d51218974b1d · inbound

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization cites this paper.

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:56:07.846491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dd95ac2-a8a0-4e63-bd5d-56f1633c3e6c · inbound

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis cites this paper.

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:29:00.463455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bc525fb1-78e1-4dab-875b-eeb703334f0b · inbound

Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness cites this paper.

Generalization Bounds on Optimal Control for Transformer Training and Wasserstein Distributional Robustness Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T21:40:51.001934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.