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Paper Citation Record · LEDGER

Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1712.03298.

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

pith.paper-citation-record.v1
1712.03298 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:15:07.222585Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:28:55.636423Z

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 cbfbca9e-dfc5-4ef3-a529-b9b8bbd460f7 · inbound

Spectral-factorized Positive-definite Curvature Learning for NN Training cites this paper.

Spectral-factorized Positive-definite Curvature Learning for NN Training Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T16:15:07.222585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:15:07.222585Z digest=sha256:c077a09ef7cb0fe537f748fd60a0d785a8dc6255386015bfb6f971a76f2f1b9e

Observation 3f7c7eec-78b2-4236-9f3d-e1b39b9c860a · inbound

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models cites this paper.

Bigger Isn't Always Memorizing: Early Stopping Overparameterized Diffusion Models Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:48.179034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:48.179034Z digest=sha256:8cdf7e02ab71fc641d8053b8acd874a7048cbdd5d90d42627af5cf37a03ad0f3

Observation 4424d318-ec0c-4151-abd7-4a7192c4bd98 · inbound

Towards White-Box Deep Wireless Sensing cites this paper.

Towards White-Box Deep Wireless Sensing Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:28:55.698364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T12:28:45.253363Z digest=sha256:22d1540dce6d7f03db92c079b35879a77c535c3cda05000e3a6d32c8d98e87f7