Paper Citation Record · LEDGER

Parallel training of DNNs with Natural Gradient and Parameter Averaging

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1410.7455.

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

pith.paper-citation-record.v1
1410.7455 v8

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:06:26.443229Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

123
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52a1a164-1829-4c43-99f2-e836a76e657d · inbound

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift cites this paper.

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Parallel training of DNNs with Natural Gradient and Parameter Averaging

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:19:17.379467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cda989ec-a88d-4809-9b04-4d1795345571 · inbound

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Parallel training of DNNs with Natural Gradient and Parameter Averaging

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-04T21:06:26.443229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d93b3a-25c0-4571-9d97-dd5fd21a8c25 · inbound

Stabilized Proximal Point Method via Trust Region Control cites this paper.

Stabilized Proximal Point Method via Trust Region Control Parallel training of DNNs with Natural Gradient and Parameter Averaging

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:33:06.551620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b2eb2fd-5f8a-4c61-b815-497b7011234f · inbound

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity cites this paper.

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity Parallel training of DNNs with Natural Gradient and Parameter Averaging

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:32:50.869592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.