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Paper Citation Record · LEDGER

The Hessian perspective into the Nature of Convolutional Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.09088.

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

pith.paper-citation-record.v1
2305.09088 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:19:55.969697Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T14:18:05.884474Z

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 110033e6-6576-4fe6-a58f-39e869403994 · 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 The Hessian perspective into the Nature of Convolutional Neural Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T16:19:55.969697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:19:55.969697Z digest=sha256:eb1b7beb4c5fb972cb15ac9d928c950db7e7a7f68320f56f32b556cc963f271b

Observation 3241e550-1ddd-44a3-8ced-92d392446333 · inbound

Logits are All We Need to Adapt Closed Models cites this paper.

Logits are All We Need to Adapt Closed Models The Hessian perspective into the Nature of Convolutional Neural Networks

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T14:18:05.890175Z

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.

source=arxiv_source observed=2026-08-09T14:18:05.690194Z digest=sha256:95aef73bbc035146b98ec0332bff7d7c3e4e84b0398407dd47c3246e3705902f