Pith. sign in

Paper Citation Record · LEDGER

Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.00452.

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

pith.paper-citation-record.v1
2311.00452 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:48:10.156227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:27:24.511610Z

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 06685aaf-2092-4cca-9e3b-ebf5b3308df0 · inbound

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning cites this paper.

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T19:48:10.156227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:48:10.156227Z digest=sha256:744f702c800a03e04bbb6d84ed377851ec390ade769bedf266e005067e4578ab

Observation cca03c19-06d3-4fd3-b1bf-cded399650ca · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.513322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:49f1bf02df81fed3f7429ca508698ccbd22357b3994639fa3cb6c1ede33cc027