Paper Citation Record · LEDGER

PyHessian: Neural Networks Through the Lens of the Hessian

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:19:56.048868Z

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 32e694da-60f2-456a-9fd2-d68dd1572d45 · inbound

Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis cites this paper.

Investigating generalization capabilities of neural networks by means of loss landscapes and Hessian analysis PyHessian: Neural Networks Through the Lens of the Hessian

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T16:19:56.048868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.