Paper Citation Record · LEDGER

A Mean-Field Optimal Control Formulation of Deep Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.01083.

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

pith.paper-citation-record.v1
1807.01083 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:51:20.980143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.486035Z

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 e7646cf8-512b-4253-a660-04b86c9170b3 · inbound

Deep network as memory space: complexity, generalization, disentangled representation and interpretability cites this paper.

Deep network as memory space: complexity, generalization, disentangled representation and interpretability A Mean-Field Optimal Control Formulation of Deep Learning

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-24T22:25:01.520038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 013bedd4-7db9-41d6-8a1e-f53b385fbf6f · inbound

Neural Dynamics on Complex Networks cites this paper.

Neural Dynamics on Complex Networks A Mean-Field Optimal Control Formulation of Deep Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T12:51:20.980143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5deb7b34-08a7-487b-ac46-4b84a2593096 · inbound

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective cites this paper.

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective A Mean-Field Optimal Control Formulation of Deep Learning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-14T10:36:29.868944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6a15fc-b6ad-4f6f-bb2d-6978bdf839a1 · inbound

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods cites this paper.

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods A Mean-Field Optimal Control Formulation of Deep Learning

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.487623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63099130-0276-443a-bcd8-f526e827fd9f · inbound

Scalable Dynamic Optimal Transport via Distributed Linearized ADMM cites this paper.

Scalable Dynamic Optimal Transport via Distributed Linearized ADMM A Mean-Field Optimal Control Formulation of Deep Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T16:47:47.022854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.