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Paper Citation Record · LEDGER

PyHessian: Neural Networks Through the Lens of the Hessian

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1912.07145.

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

pith.paper-citation-record.v1
1912.07145 v3

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:16:46.777024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:36:10.325827Z

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 0132fdfd-1eca-426f-a1a4-1ac600bc5be8 · inbound

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning cites this paper.

C-Flat++: Towards a More Efficient and Powerful Framework for Continual Learning PyHessian: Neural Networks Through the Lens of the Hessian

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-05T16:16:46.777024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:16:46.777024Z digest=sha256:fd04cda53c2eabc9ad5361638bb92488560944eaa6a085eaffef3aca5e42b001

Observation 6c8bc5cd-48f9-42e9-902e-01f18ef25e3b · inbound

On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature cites this paper.

On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature PyHessian: Neural Networks Through the Lens of the Hessian

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T04:17:44.481481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:17:44.481481Z digest=sha256:1609f4292a2922ff7362be8c792ce14e7afd09a66f16e087d9febf928021dc15

Observation 933999d6-4512-4041-82f4-5b94a49a7c04 · inbound

When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer cites this paper.

When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer PyHessian: Neural Networks Through the Lens of the Hessian

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:36:10.328502Z

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.

source=arxiv_source observed=2026-05-08T08:29:58.495518Z digest=sha256:807aa75c031f1bc6c9e37d1d53934c791d5de82acc1ea15d88bbb1f65c9e353c

Observation ee9fa2f2-3397-4295-bb73-a1d43dfcb71a · inbound

A Geometric Perspective on Stabilizing Value Conflict Resolution cites this paper.

A Geometric Perspective on Stabilizing Value Conflict Resolution PyHessian: Neural Networks Through the Lens of the Hessian

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T16:35:30.985074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:35:30.985074Z digest=sha256:48490599913c4f8d8f8d2811e30a45114ffab14b286ce421664a88eac18fff02