Paper Citation Record · LEDGER

Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1805.00915.

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

pith.paper-citation-record.v1
1805.00915 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:07:11.363600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:47:30.894991Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 033a1e01-5e91-4d06-9408-6538aa5d971d · inbound

Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks cites this paper.

Robust and Resource Efficient Identification of Two Hidden Layer Neural Networks Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-25T12:25:48.183634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8fd30642-6981-4a8e-9d96-b8995a613049 · inbound

Mean-field limit of particle systems with absorption cites this paper.

Mean-field limit of particle systems with absorption Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:23:59.955881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 543efb9a-b1c8-4957-bd12-3004f3947de5 · inbound

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models cites this paper.

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 211

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:00:21.381385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation edbdb1df-1cb0-4048-a220-b85eb11f7af0 · inbound

Mirror Descent-Ascent for mean-field min-max problems cites this paper.

Mirror Descent-Ascent for mean-field min-max problems Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:48:53.049650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26011c8a-0f6d-4fad-956d-580c700b52ab · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 189

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:11.363600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccdab250-9f6c-4c42-b100-9ceba63b2a8c · inbound

Genericity of Polyak-Lojasiewicz Inequalities for Entropic Mean-Field Neural ODEs cites this paper.

Genericity of Polyak-Lojasiewicz Inequalities for Entropic Mean-Field Neural ODEs Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T18:32:23.541601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a0256a6-2366-49b5-9d22-bab7bbaccddd · inbound

Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks cites this paper.

Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:55:38.129353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 14f47da4-a70a-41c4-bb92-2d9732d5c14c · inbound

Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks cites this paper.

Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T00:22:01.242931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b93df28-e0df-4f55-9a62-1b013180fb02 · inbound

A unified perspective on fine-tuning and sampling with diffusion and flow models cites this paper.

A unified perspective on fine-tuning and sampling with diffusion and flow models Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 133

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:21.483348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a4f8f42-66b0-48d1-ba0a-ce89304480d4 · inbound

Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks cites this paper.

Uniform-in-Time Weak Propagation-of-Chaos in Shallow Neural Networks Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T04:31:03.665978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8aaa421b-089c-4053-b0fd-25174f64a6f3 · inbound

A Theory on Flow Matching with Neural Networks cites this paper.

A Theory on Flow Matching with Neural Networks Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 234

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:47:30.896984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5a7887c-077e-4a69-aedf-2ae61185b924 · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:55:43.881081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 47725617-9b45-44d7-bcd4-5f1fa95b24fe · inbound

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product cites this paper.

Geometric Dyson Brownian Motions and the Free Log-Normal Limit for a Non-Square Gaussian Matrix Product Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T09:36:51.740009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ffb25da-2f5d-46eb-b9b6-1caba77633bf · inbound

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse cites this paper.

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse Trainability and Accuracy of Neural Networks: An Interacting Particle System Approach

Reference 256

Resolution: unresolved; no resolver link, observed 2026-07-12T01:11:50.444218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.